Artificial intelligence and the McData-fueled future of capitalism – The Next Web

Ba da ba ba bah, McDonalds is capturing and storing biometric data on its customers without their knowledge or consent.

Per a report from The Register, McDonalds may be facing a class action lawsuit after an Illinois customer sued the mega-corporation for allegedly violating the states Biometric Information Privacy Act (BIPA):

(The plaintiff) sued McDonalds on behalf of himself and all other affected residents of Illinois. He claimed the fast-chow biz has broken BIPA by not obtaining written consent from its customers to collect and process their voice data.

Illinois has some of the stiffest biometric privacy laws in the US.

The lawsuit apparently stems from the companys use of automated drive-thru order takers in the form of chatbots.

Drive-thru customers were subjected to experimental natural language processing (NLP) AI in the state, in at least 10 of the companys locations. While its unclear exactly what AI systems McDonalds was using during the trial, it stands to reason the company would need to collect and store user data in order to train its AI.

Its hard to spot precedence in the wild, but theres no denying the world sits on the rocky precipice of embracing autonomy. This very well could be the legal catalyst that kicks off the big business V big government debate over how were going to go about transitioning to the next technology paradigm for capitalism.

From a purely business-oriented POV, McDonalds might not be in as bad a position as it appears. Whats an eight-figure lawsuit to company worth nearly $200 billion?

McDonalds has been dabbling in AI systems for years now, and theres an argument to be made that its poised to lead the charge when it comes to autonomous systems.

Autonomous robotics technology is nothing new. Today it powers automotive factories and the garment manufacturing industry.

And that makes it easy for us to imagine other industries, such as fast food, adopting a similar approach. Weve certainly heard a lot about burger-flipping robotsand the end of entry-level jobs for the past decade.

The majority of discourse on automation focuses on the one-for-one human costs of replacement. We often envision the debate being about whether the efficiency and corporate labor cost reductions are worth the potential mass displacement of human workers.

But what if we stop thinking about McDonalds like a greasy spoon and start thinking of it like Facebook, Google, or Microsoft.

The mainstream my recognize those as a social network, search giant, and OS developer respectively, but the truth of the matter is each one is an AI-first company. And with each passing year, AI endeavors make up a greater portion of their profits and net worth.

[Read: Global AI market predicted to reach nearly $1 trillion by 2028]

If McDonalds were to convert its global market position as a restaurateur into a horizontal entry into the technology sector interesting things could happen.

Strip away the what and how of where McDonalds exists as a global corporation and you can compare it to other big tech businesses. The most apt comparison might be Facebook.

McDonalds serves approximately one percent of the global population on a daily basis. Facebook, by contrast, reaches approximately 25% of the population. The biggest difference between the two, arguably, is that consumers typically have to pay to use the formers services while Facebook monetizes its customers.

Lets imagine a new McDonalds where the food no longer costs money. Like Facebook, all youd have to do is sign up and create a profile. Then, you could either go to a McDonalds location to pick up food or request a delivery.

Every few orders, however, you may be asked to do something simple such as filling out a series of questionnaires similar to those Im not a robot CAPTCHAs where you click on the traffic lights or bicycles.

You might be tasked with ordering via voice or handwriting, so the system can capture your biometric data.

Most of the time, however, youd just get free food for signing up and agreeing to McDonalds terms and conditions.

If this sounds a bit like socialism or communism, just remember: theres no such thing as a free lunch. Whatever data McDonalds could gather would be worth a fortune. Its already a globally recognized brand with more than 38,000 locations in 100 countries.

The reason why so many big tech companies have pivoted to AI is because its a trillionaires market. Anyone can gather data, but only a few organizations have the money and infrastructure to gather data from billions of people at a time and even fewer can ensure theyll keep coming back for more no matter what.

Theres nothing stopping McDonalds from using its burgers and nuggets to achieve the same goals as Facebook does with Candy Crush and conservative conspiracy theories.

The picture starts to come into focus when you consider that Facebook was founded in 2004 and its worth $280 billion while the first McDonalds opened in 1955 and its only worth $170 billion.

Could McDonalds turn feeding the hungry into the next big global data-gathering endeavor? What would you do for a free cheeseburger?

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Artificial intelligence and the McData-fueled future of capitalism - The Next Web

5 Types of Artificial Intelligence that will Shape 2021 and Beyond – Analytics Insight

To dwell more into the future of technology, we have divided artificial intelligence into five types

Every day, researchers are marking new milestones in the technology sphere.Artificial intelligenceis reaching unprecedented heights, taking humankind along with it.Artificial intelligencedefines the ability of machines or models to think and learn from experience. Starting from smart home applications and delivery systems to giantrobotsin factories and robotic surgeon, everything in the digital era is powered byartificial intelligenceand its sub-technologies.

After the technologygot congested with many achievements, researchers divided it into differenttypes of artificial intelligencefor their ease. While some types represent the currentAI-powered modelswe live with, others talk about the future we are headed to. The common and recurring view of the latest breakthrough inartificial intelligenceresearch is that sentiment and intelligent machines orrobotsare just on the horizon. These disruptivetypes of artificial intelligenceare opening the door for two main theories. One is based on the fear of a dystopian future whererobotsbecome arrogant and create an apocalypse and the other one is an optimistic future where humans and machines work together. To dwell more into the future of technology, Analytics Insight has listed fivetypes of artificial intelligence.

Along with the evolution of trends and concepts, human preferences have also changed. Nobody likes a trend from a century ago. However, businesses today are working to attract consumers by providing customized or personalized solutions. In the modern world, businesses finally realized that not everyone has the same taste and peoples likes and dislikes differ. Therefore, they have sought help from technology to create recommendation engines through which companies can engage better with their customers. The recommendations are made following their browsing history, preference, and interests. In the future, all businesses starting from small to big will seek artificial intelligences help to unravel the much-needed customized products.

Similar to customized services, artificial intelligence is making a breakthrough in suggestions, especially to those on social media pages. For example, if you have searched on Google to buy a sofa, then your social media apps like Instagram, Facebook, etc are likely to show a lot of furniture selling sites with sophisticated sofas. The same thing happens with your social media feed. On Instagram, artificial intelligence takes account of your likes and views and determines what posts might steal your eyes. It only shows posts that are similar to your area of interest. Facebook is partnering its feature with a tool called Deep Text, which helps in translating posts from different languages automatically. Twitter is also using a futuristic artificial intelligence algorithm to detect frauds, remove propaganda, and hateful comments on the microblogging platform.

So far, artificial intelligence-powered machines were having a hard time conversing with humans. Most of the robots or AI models were capable of doing either reading or writing or abstracting the content by using speech recognition. However, GPT-3 (Generative Pre-trained Transformer-3) changed the tailwind of human-machine interaction. Developed by OpenAI, the language processing tool trains an AI model to converse with humans, and read and write texts. The mechanism has extended its capabilities from just conversing with humans to doing other things like reading and writing. The company has trained GPT-3 with millions of data, making it capable of understanding everything that humans can when it comes to text and speech analysis.

It all started when humans wanted to create something similar to them. Yes, the whole concept of robots and artificial intelligence was born out of peoples curiosity to make a mechanism that thinks and functions like humans. Unfortunately, we are still at the first step when it comes to achieving that sophistication. Owing to the technological developments, researchers are putting immense efforts to unravel reciprocating machines that can respond to various types of simulations. Even though this oldest form of artificial intelligence system doesnt function through a memory base, it uses its reproductive ability to think like humans. Generally, machines are fed with data. When they are assigned a task, they go through the dataset and find similar tasks and carry out the same. However, instead of using previous experience or dataset, these reciprocating machines respond to the circumstance immediately. Unlike many AI models, this type of artificial intelligence system doesnt learn things and implement them, instead reacts to the situation. Besides, the reciprocating machines cant store their learning experience and use it for future endeavours. Every time, they have to come up with a solution themselves.

The recent developments in artificial intelligence are pointing to a future where machines can have a sixth sense like humans. Humans are the only living beings who fall under this category and experience emotions and get to think. The future of technology will unravel machines, especially, artificial intelligence-powered machines that can show emotions, have beliefs, sort what is right and wrong, think, know the situation, etc. In order to make this a reality, researchers are on their way to implement a multi-dimensional AI development concept called Theory of Mind. By attaching Theory of Mind to machines, they get the ability to understand entities they deal with. It will also unravel a whole new world of human-machine understanding that no one has ever seen.

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How Artificial Intelligence will Transform Businesses in 2021? – Analytics Insight

Every industry is being transformed by Artificial Intelligence owing to its sophisticated capabilities and thorough data analysis. AI may help organizations in a variety of ways. Because AI is a larger technology, its commercial benefits are limitless. AI is capable of controlling corporate process automation as well as accumulating data analysis findings. Many global corporations are leveraging AI to improve employee and customer engagement. This article will discuss how businesses will use AI in the future year. Before delving into the details, lets first go through the fundamentals of Artificial Intelligence.

Artificial Intelligence (AI) is a technology that is closely related to computer science. AI technology employs clever machines to reach human-level intelligence for a variety of jobs. Artificial Intelligence is about training computers to be as efficient as possible. The idea behind AI is to train computers by mimicking human behavior. As a result, the robots perform appropriately, thanks to programming and algorithms.

Emerging technologies are reshaping our daily lives. It seems clear that AI will play a critical role in business transformation in the upcoming years.

Here are some ways how Artificial Intelligence will transform businesses in 2021.

AI-powered microprocessor chips will allow AI-powered apps. These processors will improve the performance of sophisticated software used in games, healthcare, industrial, and finance. Qualcomm is a pioneer in the creation of these processors.

The availability of data has resulted in a significant increase in cyberattacks. Companies are making investments to improve their cybersecurity network. AI will play a critical role in facilitating corporate cybersecurity. Companies reaction times and costs will also be reduced as a result of the technology.

Amazon and Google have already dominated the market for smart, voice-controlled home goods. Apple has entered the fray with its own line of smart speakers. Companies will develop apps to support this voice-based technology in the future.

Companies utilize AI-powered chatbots in corporate communication in todays digital-driven environment. These bots are mostly employed to boost client interaction. Chatbots powered by AI reduces the need for human interaction.

Companies and users have recognized the importance of data. Data creation is experiencing exponential growth. AI-based tools and solutions will assist startups with data analysis, business statistical analysis, and predictive analytics deployment. In 2021, there will be a number of initiatives concentrating on data highways.

Most enterprises are predicted to transform into AI-based businesses by the middle of 2021. The capacity of AI to increase the performance of the network will also be a driving factor in its widespread adoption. AI-powered technologies will assist IT teams in better-securing networks. Artificial Intelligence, using machine learning techniques, finds network faults and corrects them as needed. Furthermore, AI-powered VPN routers will become popular in the near future. Machine learning techniques are used by these routers to prevent data threats and safeguard the system through changed security settings.

Artificial Intelligence appears to be leading us to a beautiful future. Todays technological implementation appears sophisticated, but overall procedures are expected to be easier than ever before. We anticipate significant changes in the AI-powered world, changes that will affect not only the IT business but also other fields that will use computer power.

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Use of Artificial Intelligence in the Research of Quantum Mechanics – Analytics Insight

Searching for different uses of artificial intelligence has always been a successful journey and among its numerous uses, quantum mechanics stands in a vital position. Artificial Intelligence can be used to predict molecular wave functions and the electronic properties of molecules. The behavior of the electron in the molecule can be observed and the data can be fed to AI algorithm, which would further predict the future behaviors of the electrons in the molecules. The researchers of University of Warwick, the Technical University of Berlin and the University of Luxembourg have together come up with such innovative ways of using AI. Using quantum mechanics, the behavior of an electron in a molecule is still described by a wave function, analogous to the behavior in an atom. Just like electrons around isolated atoms, electrons around atoms in molecules are limited to discrete (quantized) energies. The region of space in which a valence electron in a molecule is likely to be found is called a molecular orbital. Like an atomic orbital, a molecular orbital is full when it contains two electrons with opposite spin.

In general, artificial intelligence can be used in observing and predicting any consistent common behavior. For example, AI is used in predicting the shopping behavior of people and it is done by observing the way the person shops on a regular basis. In a similar way, AI can be used for predicting the quantum states of molecules, so-called wave functions, which determine all properties of molecules. AI is capable of doing this by learning to solve fundamental equations of quantum mechanics. Doing it in the conventional way requires massive high-performance computing resources, which is typically the bottleneck to the computational design of new purpose-built molecules for medical and industrial applications. However, this newly developed AI algorithm will be able to supply accurate predictions within seconds on a laptop or mobile phone.

Dr. Reinhard Maurer from the Department of Chemistry at the University of Warwick stated while talking about this research, This has been a joint three year effort, which required computer science know-how to develop an artificial intelligence algorithm flexible enough to capture the shape and behavior of wave functions, but also chemistry and physics know-how to process and represent quantum chemical data in a form that is manageable for the algorithm. The research shows that AI methods can efficiently perform the most difficult aspects of quantum molecular simulations. Within the next few years, AI methods will establish themselves as an essential part of the discovery process in computational chemistry and molecular physics. The team has been brought together during an interdisciplinary 3-month fellowship program at IPAM (UCLA) on the subject of machine learning in quantum physics.

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Global Wearable Medical Devices Markets Report 2021: Integrating Artificial Intelligence in the Wearable Medical Devices is Gaining Traction -…

DUBLIN, June 15, 2021 /PRNewswire/ -- The "Wearable Medical Devices Global Market Report 2021: COVID-19 Growth and Change to 2030" report has been added to ResearchAndMarkets.com's offering.

The global wearable medical devices market is expected to grow from $8.35 billion in 2020 to $10.28 billion in 2021 at a compound annual growth rate (CAGR) of 23.1%.

Wearable Medical Devices Global Market Report 2021: COVID-19 Growth and Change to 2030 provides the strategists, marketers and senior management with the critical information they need to assess the global wearable medical devices market.

Major players in the wearable medical devices market are Philips, Polar Electro, Omron Corporation, Fitbit Inc., Garmin Ltd., LifeWatch AG (BioTelemetry Inc.), Xiaomi Inc., VitalConnect, Jawbone Inc. and General Electric Co.

The growth is mainly due to the companies resuming their operations and adapting to the new normal while recovering from the COVID-19 impact, which had earlier led to restrictive containment measures involving social distancing, remote working, and the closure of commercial activities that resulted in operational challenges.

The market is expected to reach $24.38 billion in 2025 at a CAGR of 24%.

The wearable medical devices market consists of sales of wearable medical equipment and related services that includes diagnostic devices and therapeutic devices like vital signs, sleep and neuro monitoring devices, electrocardiographs, pain management, and respiratory therapeutic devices among others.

The companies involved in wearable medical devices market design, manufacture and market medical wearables like watches, wristbands, clothing, ear wear and other devices for the applications like Remote Patient Monitoring, Ear wear, Home healthcare, Sports and Fitness which are designed for patient management and life-style disease management like prevention of diseases and maintenance of health with advantages such as weight control and physical activity monitoring.

During the historic period, the rise in mortality rate due to non-communicable diseases with an increasing prevalence of chronic diseases and life-style associated diseases like hypertension and diabetes contributed to the growth of wearable medical devices. Healthcare industry is coming up with newer technologies to overcome this with necessary measures like continuous and remote patient monitoring facilities through wearables which can be worn over the body all-day long for continuous monitoring of the required parameters like vital signs, glucose levels and more.

The wearable medical devices market covered in this report is segmented by device type into diagnostic devices, therapeutic devices. It is also segmented by product type into watch, wristband, clothing, ear wear, other devices, by distribution channel into pharmacies, online channel, hypermarkets and by application into sports and fitness, remote patient monitoring, home healthcare, ear wear.

Integrating artificial intelligence in the wearable medical devices is gaining traction. The data collected by the wearable medical devices lacks value without the integration of artificial intelligence (AI) that better utilizes the data collected. AI doctor which is a standalone network with deep learning algorithm performs well than trained medical practitioners in conditions like skin lesions, electrocardiograms, medical imaging and pathology.

In 2019, Google, a US-based technology company that develops internet-related services and products like search engines, cloud computing, online advertisements, software and more, announced to acquire Fitbit Inc. for $7.35 per share in cash valuing totally to $2.1 billion.

The deal will benefit both the companies by designing and manufacturing innovative wearables by integrating the best hardware, software and artificial intelligence to reach even more people around the globe. Fitbit Inc., a US-based wearables company designs innovative products that track the daily health and fitness of the consumer in the form of smartwatches, activity trackers, wireless headphones and smart scales.

Key Topics Covered:

1. Executive Summary

2. Wearable Medical Devices Market Characteristics

3. Wearable Medical Devices Market Trends and Strategies

4. Impact of COVID-19 on Wearable Medical Devices

5. Wearable Medical Devices Market Size and Growth 5.1. Global Wearable Medical Devices Historic Market, 2015-2020, $ Billion 5.1.1. Drivers of the Market 5.1.2. Restraints on The Market 5.2. Global Wearable Medical Devices Forecast Market, 2020-2025F, 2030F, $ Billion

6. Wearable Medical Devices Market Segmentation 6.1. Global Wearable Medical Devices Market, Segmentation By Device Type, Historic and Forecast, 2015-2020, 2020-2025F, 2030F, $ Billion

6.2. Global Wearable Medical Devices Market, Segmentation By Product Type, Historic and Forecast, 2015-2020, 2020-2025F, 2030F, $ Billion

6.3. Global Wearable Medical Devices Market, Segmentation By Distribution Channel, Historic and Forecast, 2015-2020, 2020-2025F, 2030F, $ Billion

6.4. Global Wearable Medical Devices Market, Segmentation By Application, Historic and Forecast, 2015-2020, 2020-2025F, 2030F, $ Billion

7. Wearable Medical Devices Market Regional and Country Analysis 7.1. Global Wearable Medical Devices Market, Split By Region, Historic and Forecast, 2015-2020, 2020-2025F, 2030F, $ Billion 7.2. Global Wearable Medical Devices Market, Split By Country, Historic and Forecast, 2015-2020, 2020-2025F, 2030F, $ Billion

Companies Mentioned

For more information about this report visit https://www.researchandmarkets.com/r/y81cb6

Media Contact:

Research and Markets Laura Wood, Senior Manager [emailprotected]

For E.S.T Office Hours Call +1-917-300-0470 For U.S./CAN Toll Free Call +1-800-526-8630 For GMT Office Hours Call +353-1-416-8900

U.S. Fax: 646-607-1904 Fax (outside U.S.): +353-1-481-1716

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RGS welcomes Artificial Intelligence Innovator to training event – Attain News

15th June 2021 The RGS Worcester Family of Schools was delighted to welcome Priya Lakhani OBE, to their latest Apple Regional Training Centre event.

Priya is the Founder CEO of CENTURY Tech, an award-winning Artificial Intelligence (AI) educational technology company that produces intelligent software that each of the RGS schools is currently trialling. Priyas mission is to help teachers across the world remove learning roadblocks so that every student can succeed and she shared her incredible vision for AI in education at this event.

Priya detailed all the advances in technology that are part of the AI systems that Century Tech are building, aiding pupils to develop in their learning. Priya was very focused on the fact that this was not to replace teachers with a computer but to help teachers with quality personalised homework, assessments modules and additional study tools for pupils to reinforce learning outcomes.

Director of Innovation, John Jones commented:

It was incredible to hear about the possibilities afforded by AI in Education from someone with the knowledge and passion of Priya Lakhani. She created Century Tech to improve education and we are proud to be involved in utilising a technology that shows so much promise. This is all about children being able to learn more effectively.

Priya Lakhani OBE, Founder CEO of CENTURY Tech, said:

"I was honoured to be asked by RGS Worcester, an incredibly innovative and exciting school, to share my insights on artificial intelligence and education. AI is having a transformative effect on education, from improving the way that children learn to make teachers lives easier and more productive. Leading schools like RGS Worcester are seizing on the benefits of this technology to offer an even more outstanding education."

Background Info:

Priya was awarded Business Entrepreneur of the Year by the Chancellor in 2009 and Officer of the Order of the British Empire in 2014. In 2018, she co-founded the Institute for Ethical AI in Education and in 2019, Priya was named Economic Innovator of the Year by The Spectator, was a business advisor to the UKs coalition government, and was appointed to the UK governments AI Council in 2019.

The RGS Worcester Regional Training Centre events provide Educational Technology training for teachers across the local community. During the pandemic, these events have been held online and draw a national and even international audience of educators. The hope is to benefit lots of children by reaching teachers in as many forward-thinking schools as possible.

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RGS welcomes Artificial Intelligence Innovator to training event - Attain News

White House partners with NSF to stand up National AI Research Resource Task Force – Federal News Network

President Joe Biden, building off efforts started under the Trump administration, is launching a task force to bring breakthroughs in artificial intelligence into focus.

The White House Office of Science and Technology Policy is working with the National Science Foundation to lead a new National AI Research Resource Task Force.

OSTP and NSF launched the task force last Thursday. Under the 2020 National AI Initiative Act, the task force will look at how to expand access to AI education and other critical resources. The task force includes members from NIST, the Energy Department and top universities.

Lynne Parker, the director of OSTPs National AI Initiative Office, will co-chair the task force along with Erwin Gianchandani, the NSFs deputy assistant director for computer and information science and engineering.

Parker previously served as the deputy U.S. chief technology officer under the Trump administration.

As part of this rollout, OSTP will also create a National AI Advisory Committee, which will provide recommendations on topics that include AI ethics, research and development, and AIs impact on the workforce.

The task force will submit two reports to Congress an interim report in May 2022 and a final report in November 2022.

OSTP Director Eric Lander, who also serves as President Joe Bidens science adviser, applauded the foundational investment in technology leadership.

The National AI Research Resource will expand access to the resources and tools that fuel AI research and development, opening opportunities for bright minds from across America to pursue the next breakthroughs in science and technology, Lander said.

NSF Director Sethuraman Panchanathan said the task force will have an essential role in driving new breakthroughs in AI.

By bringing together the nations foremost experts from academia, industry, and government, we will be able to chart an exciting and compelling path forward, ensuring long-term U.S. competitiveness in all fields of science and engineering and all sectors of our economy, Panchanathan said.

Meanwhile, the Defense Department is moving ahead with its own AI rollout, guided in part by recommendations drafted by National Security Commission on AI in its final report.

David Kumashiro, NSCAIs director for research and analysis, said the commissions 750-page report generally reflects on the need for DoD and the federal government to catch up with the private-sector investments in AI.

AI is going to be ubiquitous across all aspects of military affairs, so I think the right question is, what areas is AI not going to touch? I would challenge folks to really list out, in those terms, where we dont think AI is going to be a critical component, he said last Thursday in a virtual panel hosted by the Center for Autonomy and AI.

The final report urges DoD and the intelligence community to make foundational investments in order to be AI-ready by 2025. That work includes giving DoD personnel greater fluency in digital tools.

AI-ready by 2025 is really just about your baseline digital literacy and access to the tech stack, and software and data that allows you to integrate, Kumashiro said.

To bridge the gap between the warfighter and technologists, the commission recommends standing up AI delivery teams within each combatant command. The Army, Kumashiro added, has made progress by standing up tactical data teams, but added DoD should take a DevOps approach to AI development.

We really should shift this mindset that the technology is going to have this roadmap, milestone chart like traditional acquisition programs, and instead it will be much more much more iterative and require much more involvement with the warfighter to refine where this technology is going, he said.

Success also depends on IT infrastructure that enables collaboration. DoDs Joint AI Center stood up its Joint Common Foundation in March to accelerate testing and adoption of AI tools across the department.

DoD also has stood up platforms such as Platform One for enterprise DevSecOps services, and the Navy supports Black Pearl a group of military, civilian and contractor personnel with experience with software delivery challenges.

We need to start linking them together, we need to start identifying what are those best tech stacks that are out there, stop reinventing that, and really start committing to a few of them. Im not saying Hey, weve all decided on this one. I think as long as youre keeping with good commercial standards and practices of containerized data management, it shouldnt be a problem of linking and networking all of these different platforms into this larger digital ecosystem, Kumashiro said.

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Your Future May Lie With an Artificial Intelligence Certificate – The Future of Things

Image by Mudassar Iqbal from Pixabay

There are a lot of ways to start exploring the future, and considering what you want to do with your career could be a good start. If youre not sure, it may be wise to look into options that involve technology. With the growing and expanding nature of technological advances, you can have a lot of opportunities for career development if youre good with technology. But what area of technology should you pick, and why? Here are some things to consider, when youre trying to decide what will truly be right for your needs.

When you look for evidence of artificial intelligence (AI), its pretty easy to find it. From cell phones that have built-in voice assistants, to at-home options like Amazon Alexa, the world of AI is growing. If you want to get in on it from the standpoint of a creator and developer, instead of just an end user, an artificial intelligence online course may be the right option for your needs. Learn to explore the current AI landscape and develop an effective AI strategy for your organization.

The more knowledge you have, the more you can create things that have real value for yourself and the world around you. Thats a big part of the value of an artificial intelligence certificate, since it shows that you have the knowledge and information you need to get started. Youll learn more as you go along, of course, through trial and error, but having the basics down will help you start on a career path that can be a good one for the future. People who are involved in AI creation have plenty to look forward to.

The rapid nature of expansion thats seen in technology means its growing by leaps and bounds. Thats important, since it offers new and better information to the world. It also improves value for everyone who uses and works with it, because it means people can create and use things that wouldnt have been possible even a few short years ago. With an artificial intelligence certificate, you can show that youre on the cutting edge of what technology is doing, and that youre well-prepared to take on a strong career path.

The details matter, and when it comes to the future of AI and technology, the future is very likely going to be found in those details. The specifics of how to create and develop AI arent the only big issues, though. How people use the AI options they have, what kinds of features they want, and the benefits they expect to get are all vital. When youre developing something for a lot of different people to use, it has to work in a number of ways that are beneficial to a big group of people. Its hard to be everything to everyone.

As you consider a career in technology, and whether to get an artificial intelligence certificate, trust yourself and your abilities. Focus on the kinds of things that matter most to you, so you can fully put yourself into the work youre doing. Thats one of the best ways to accomplish something new, and bring innovation and ideas to the world. By learning what you need to know, and then immersing yourself in the process of creation, youll have a better opportunity to develop AI options that can provide real value for the future.

There are a lot of different ways to use AI, and its important that you select an area you like and will enjoy working in. If you dont, you might find that youre not getting things done the way youd hoped, or that your enthusiasm for the task just isnt there. That can be a big problem, especially if youve planned to make it your career. With an artificial intelligence certificate, though, youll have the skills you need to do all kinds of things in that area of technology. You can make career path adjustments if you need to.

Artificial intelligence isnt the only growing field of technology, but its one of the fields that has the most interest in continued development. People are fascinated by robotics, and by the different ways developers can make technology seem real in various ways. If you find a way to engage in that field and enjoy it, the odds are high that there will be a long and interesting career waiting for you. The ideas behind AI arent going away, and theyll only become stronger and more developed as time goes on.

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Your Future May Lie With an Artificial Intelligence Certificate - The Future of Things

How Artificial Intelligence Is Changing the Future of Air Transportation – GW Today

By Kristen Mitchell

A George Washington University School of Engineering and Applied Science professor is working on an interdisciplinary research project funded by NASA that aims to design and develop a safety management system for electric autonomous aircraft.

Peng Wei, an assistant professor in the Department of Mechanical and Aerospace Engineering, researches control, optimization, machine learning and artificial intelligence (AI) in air transportation and aviation. His lab builds flight deck and ground-based automation and decision support tools to improve and ensure safety for emerging aircraft types and flight operations.

While a lot of the innovation in AI and machine learning applications has been focused on revolutionizing the internet and digital connectivity, Dr. Wei is part of a group of researchers focused on expanding those benefits into transforming air transportation for physical connectivity and future mobility.

Dr. Wei is the principal investigator of a new three-year, $2.5 million NASA System-Wide Safety grant project. Alongside collaborators from Vanderbilt University, University of Texas at Austin and MIT Lincoln Lab, the research team will study system design to minimize risks for electric vertical take-off and landing (eVTOL) aircraft and their advanced air mobility missions in urban environments.

The teams proposed system design aims to minimize the layered risks for autonomous aircraft. Adverse weather conditions like windwhich is what Dr. Weis lab will focus onaffect an electric aircrafts ability to fly and land safely. Additional risks include electric propulsion component faults or degradations, and threats from other non-cooperative aircraft due to GPS spoofing or software hijacking while in flight. The NASA project seeks to address these three diverse areas of concernmission level risk, aircraft level risk and airspace level risk.

Once an autonomous aircraft becomes noncooperative, whether it's being hijacked, or an autonomy fault , or a motor/battery problem, or due to winds, that aircraft starts to drift away from its track, Dr. Wei said. So how do we detect that and how do other aircraft avoid those potential collisions or conflicts?

Widespread adoption of safe driverless cars remains years off. The same can be said about autonomous aircraft, Dr. Wei said. Pilotless air travel would likely begin with transporting small packages or lunch delivery from local restaurants. If those applications are proven safe and successful, larger cargo flights and autonomous passenger air transportation could be introducedpotentially improving traffic congestion and enabling people to live farther from their places of work.

If a machine learning algorithm makes a mistake in Facebook, TikTok, Netflix that doesn't matter too much because I was just recommended a video or movie I don't like, he said. But if a machine learning algorithm mistake happens in a safety-critical application, such as aviation or in autonomous driving, people may have accidents. There may be fatal results.

In aviation applications, safety always comes first, Dr. Wei said. New aircraft types electrification in aviation, AI and machine learning based autonomy functionsare bringing great challenges and opportunities for aviation safety research, he said.

Our team is very excited to work with NASA to address these challenges, he said.

Additional ProjectsDr. Wei was also recently awarded three additional grants. He and his collaborators from West Virginia University and Honeywell Aerospace received a two-year grant from the Federal Aviation Administration to focus on the design and implementation of a safety verification framework for learning-based aviation systems.

We want to explore how to verify or certify these AI and machine learning based avionic functions , Dr. Wei said. We plan to develop some tools for both offline and online verification to guarantee safety.

He also received a six-month NASA SBIR Phase I award to work with Intelligent Automation, Inc. on a project to support the emerging large volume of urban air mobility traffic by mitigating the potential congestion in airspace. The team will focus on how to enable the high arrival and departure rates at vertiportsthe major bottlenecks for eVTOL air traffic.

Unmanned electric airplanes are vulnerable to air traffic congestion because battery power is limited compared to traditional fuel. Electric airplanes can burn significant resources if they are unable to land on schedule.

They cannot afford to sit in traffic in the air, he said. if they hover or hold in the sky, they will consume their batteries.

The third project is a one-year collaboration with the University of Virginia and George Mason University. The research team received a grant from the Virginia Commonwealth Cyber Initiative (CCI) to address threats from autonomous vehicles as they become victims of emerging cyber attacks. The Smart City project integrates two novel mechanisms: city-scale video intelligence for detecting attacks and multi-agent reinforcement planning for reacting to attacks and non-cooperative vehicles.

They plan to use cameras to identify potentially abnormal car movements, ranging from aggressive or intoxicated driving to a hacked autonomous vehicle. Researchers ultimately aim to detect and predict this type of behavior to mitigate risk on the road. Dr. Weis laboratory experience with collision avoidance and conflict resolution is key to this effort.

Preparing for TomorrowAI and machine learning will be foundational to the future of technological innovation, and there is significant room for expansion in air transportation and aviation, Dr. Wei said. As a SEAS faculty member, Dr. Wei is focused on his labs research and training the next generation of technology leaders.

At GW, with so many opportunities around us for our students, our goal is to train our undergraduate students and graduate students so they can become the top qualified multidisciplinary background, and also they can fit better in their future jobs and careers, he said.

Over the next few decades, there will be a growing need for an aviation industry workforce rigorously focused on safety that can apply and develop AI and machine learning technology. Elected officials and their staff, policymakers and Federal Aviation Administration regulators will also have to have sufficient knowledge to evaluate changing technology.

When somebody developed those advanced technologies, how can we examine them? How can we check them or verify them or approve them?, Dr. Wei said. We need a lot of talent on this side as well.

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How Artificial Intelligence Is Changing the Future of Air Transportation - GW Today

An artificial-intelligence powered ETF has smashed the S&P 500 in the last month without any meme stocks – Markets Insider

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An exchange-traded fund that uses artificial intelligence in identifying the most promising US equities has blasted past the S&P 500 in returns for the past month - without any meme stocks in its holdings, analysis by DataTrek showed.

The AIEQ ETF's performance for the past month has been especially strong, and as of Monday, the 1-month return for the fund was 10.6%, compared with 2% for the S&P 500. The 1-year return was 50.1%, while it was 39.9% for the index, DataTrek found.

Year-to-date, though, the two are much closer, at 13.6% for the ETF and 13.3% for the US equity index. And while the AIEQ has been logging a solid performance overall, its 3-month return was 0.5%, much lower than the S&P 500's 7.2%.

The ETF regained strength and caught up with the index over the last month. It did this by adding companies with better performances to its holdings, DataTrek said. "In that respect, AIEQ's process looks a lot like a human manager, searching for momentum names that fit its investment process." the financial research firm said.

Despite this, DataTrek analysis showed the ETF was free of meme stocks, which can rise and fall in quick succession, significantly and quickly impacting returns.

Meme stocks such as GameStop and AMC have sent rumbles through the market in recent months, after retail investors banded together to buy the shares, driving prices up and causing short squeezes. As this caused stocks to be overvalued, those who invested at the highs or during the run-up were left vulnerable to big losses in the longer term.

Instead, AIEQ shifted its top 10 holdings. It kept Alphabet, 10X Genomics, Costar Group, Tesla and Square in the mix, albeit with weighting adjustments, and added MongoDB, DexCom, Appian, Carvana and Autozone. DocuSign and Yeti Holdings were among the stocks moved out of the top 10.

The fund also spread out its investments further. Its top 10 holdings now account for 28% of the portfolio, versus 40% previously, in an effort to catch the momentum of a wider range of stocks, DataTrek said. It currently manages assets worth $155.6 million and trades on the NYSE ARCA exchange.

AIEQ is powered by IBM's Watson supercomputing, which enables the actively-managed ETF to use artificial intelligence when picking stocks. It analyzes company, technical, macro and market data from news, social media, industry analysis, and financial statements, according to its profile on the website of the ETF Managers Trust, which runs the fund.

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An artificial-intelligence powered ETF has smashed the S&P 500 in the last month without any meme stocks - Markets Insider

Artificial Intelligence in the Pharmaceutical market worth US$27156.1 Million in 2031. Visiongain Research Inc. – GlobeNewswire

Visiongain has published a new report on AI in Pharmaceuticals Market 2021-2031. Forecasts by Application (Drug Discovery, Precision Medicine, Medical Imaging & Diagnostics, Research), Technology (Machine Learning, Other Technologies), Offering (Hardware, Software, Services), Deployment (Cloud, On-Premises), by Region (North America, Europe, Asia Pacific, Latin America, Middle East & Africa), PLUS COVID-19 Recovery Scenarios.

Download Exclusive Sample of Report @ https://www.visiongain.com/report/ai-in-pharma-market-2021/#download_sampe_div

Key Questions Answered by this Report

Embracing Technology to Revolutionize Pharmaceutical IndustryThere are other fields where the R&D process can be influenced by AI and machine learning. Better approaches to predict chemicals' properties in order to reduce the number of substances that need to be synthesized is obviously an opportunity. This would allow for the consideration of a larger chemical universe and enrich the 'chemical palette' open to medicinal chemists. Another field where researchers are starting to use AI and machine learning is mining genomic, proteomic, and metabolic data for improved disease biomarkers and medication efficacy surrogate markers.

Get Detailed TOC @ https://www.visiongain.com/report/ai-in-pharma-market-2021/#download_sampe_div

For example, the time taken to examine cancer tumour scans or neurological condition brain scans may be drastically reduced. Further downstream, AI and deep learning are also used to evaluate real-world result data, wearable device data and other sensors. Predictive toxicology is already in its infancy and, potentially, businesses will still be able to detect any possible safety hazards with compounds even sooner by harnessing the true potential of AI. This advanced technology will also promote predictive medicine and better stratification of patients for clinical trials, and this can lead to an improvement in performance based on greater effectiveness in clinical trials since it is possible to better choose the most desirable patient pool.

What are the Opportunities for AI in Drug Discovery?AI is seen to give drug development a strategic edge, so it is expected to be introduced easily and generally. The implications of the market adjusting to accept the modern reality will eventually take place, and the strain to embrace the new ways of working will be felt by late adopters for fear of dropping out of the race. They would need to adapt or perish if any larger and more developed players are already lagging.

What is the Competitive Landscape?

Key market players featured in this report include:

Visiongains study is intended for everybody needing commercial analyses for the Global AI in Pharmaceuticals Market and leading companies. You will find data, trends, and predictions.

Find quantitative and qualitative analyses with independent predictions. Receive information that only our report contains, staying informed with this invaluablebusiness intelligence.

Find more research reports on thePharma Industry, pleaseclick on the following links:

Do you have any custom requirements we can help you with? Any need for a specific country, geo region, market segment or specific company information? Contact us today, we can discuss your needs and see how we can help: sara.peerun@visiongain.com

About VisiongainVisiongain is one of the fastest growing and most innovative, independent, market intelligence around, the company publishes hundreds ofmarket research reportswhich it adds to its extensive portfolio each year. These reports offer in-depth analysis across 18 industries worldwide. The reports cover a 10-year forecast, are hundreds of pages long, with in depth market analysis and valuable competitive intelligence data. Visiongain works across a range of vertical markets, which currently can influence one another, these markets include automotive, aviation, chemicals, cyber, defense, energy, food & drink, materials, packaging, pharmaceutical and utilities sectors. Our customized and syndicated market research reports means that you can have a bespoke piece of market intelligence customized to your very own business needs.

Contact:Sara PeerunCommercial DirectorVisiongain Inc.Tel:+ 44 207 549 9987USA Tel:+ 1 718 682 4567EU Tel:+ 353 1 695 0006Email:sara.peerun@visiongain.comWeb:https://www.visiongain.com/Follow Us:LinkedIn|Twitter-

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Artificial Intelligence in the Pharmaceutical market worth US$27156.1 Million in 2031. Visiongain Research Inc. - GlobeNewswire

Can We Learn Sperm Whale Language? Researchers Are Using Artificial Intelligence to Find Out – TheInertia.com

A mother sperm whale and her calf off the coast of Mauritius. Will we be able to understand them in the future? Photo: Wikimedia Commons

If youve ever been lucky enough to spend time underwater in an area with whales, youve likely heard them. Theyre curious sounds; clicks and squeals and deep, melancholy rumbles penetrating through incredible distances. They often sound close, just out of your field of vision, and its easy to imagine some great creature slowly moving by in the dark blue. Its more likely, however, that they are much farther away than that, because whale songs can, by some estimates, travel as far as 10,000 miles. Its beyond doubt that the noises are used to communicate with other whales, but is it an actual language? Well, researchers are using artificial intelligence to try and break the code of sperm whale communications.

Sperm whalesare among the loudest creatures on Earth. Their songs are called codas, and theyre extraordinarily complex. Codas might even be complex enough to count as an actual language, but so far, humans havent been able to understand what they might be saying to each other.

Sperm whales have enormous brains. Six times larger than ours, in fact. But bigger doesnt necessarily mean smarter. The complexity of the brain and the brain-t0-body size ratio likely have more to do with intelligence than plain old size. Humans, despite the fact that were considered to be the most highly-evolved species in the world, dont win either of those categories. The common tree shrew wins brain-t0-body size ratio and the complexity contest is a bit of a hard one to accurately measure but dolphins, octopuses, some whales, and elephants have more complex brains than we do. And whale songs are a good indicator of that.

According to a recent study by the Cetacean Translation Initiative (CETI) called A Roadmap to Deciphering the Communication of Sperm Whales, the complexity and duration of whale vocalizations suggest that they are at least in principle capable of exhibiting a more complex grammar.

The past decade or so has been a big one for AI, especially when it comes to machines learning for human languages. Right now, machines are capable of taking dense collections of data and deciphering aspects of syntax and semantics, as well as sentence structure and word meaning. In short, machines can learn languages just by listening to them much like we can.

Which is why, as youve guessed by now, researchers are in the process of collecting as many different whale sounds as they can gather. The plan, put simply, is to feed all those sounds into a machine and see whether AI can make any sense of them. CETI chose sperm whales because their clicks can sound weirdly similar to morse code, so the AI might have an easier time analyzing them.

The clicking isnt just for communication, though. Since sperm whales are capable of hunting at depths of up to 4,000 feet, they also use them as a form of echolocation. It has been noted, however, that the echolocation clicks are noticeably different than the communication clicks, which are much closer together.

So far, according to Live Science, the CETI team has about 100,000 different sperm whale clicks on file. That might sound like a lot, but they estimate that the AI will need somewhere around four billion of them. To get to that number, CETI is setting up microphones in the sperm whale haunts all over the world, microphone-carrying drones, and swimming robots that can follow pods of whales as they click their way through the sea.

Even if CETI is able to collect enough data, theres no guarantee that the machines will be able to parse out a language. That, however, is part of the fun for the researchers and if it works, theyre hoping it can be applied to other animals as well.

Sperm whales, in particular, they wrote, with their highly developed neuroanatomical features, cognitive abilities, social structures, and discrete, click-based encoding make for an excellent starting point for advanced machine learning tools that can be applied to other animals in the future.

For now, well have to just try and imagine what animals might be saying to each other but the question that still lingers is this: if you could talk to animals, would you want to know what theyre saying?

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Can We Learn Sperm Whale Language? Researchers Are Using Artificial Intelligence to Find Out - TheInertia.com

Cyborg Reportedly Being Recast In DCEU With A Younger Actor – We Got This Covered

Ray Fishers Cyborg was supposed to be a major player in the DCEU, but it obviously didnt work out that way. The unproven and untested actor must have thought hed landed the role of a lifetime when he made his feature film debut in Batman v Superman: Dawn of Justice, before being announced as a principal part of the Justice League cast, and he was even set to headline his own solo outing.

Instead, reports of Joss Whedons behavior and misconduct at the helm of the Justice League reshoots snowballed into Fisher mounting a one-man crusade against the entire DC Films and Warner Bros. hierarchy, and hes got no intentions of giving up the fight. Hes happy to continue demanding that the boardroom and executives take accountability for their actions or lack thereof, and hes stuck to his guns so rigidly that hes essentially exiled himself from the DCEU until Walter Hamada is out of the picture.

As the beating heart of Zack Snyders Justice League, who declined the opportunity to play a substantial role in The Flash despite having been involved in almost every draft of the script, something drastic would have to change for Fisher to return to the fold. However, a new rumor claims that Cyborg is being recast with a younger actor, although thats about the full breadth of the information made available.

Given the dearth of details on when or where this is supposed to happen, its best not to read too far into the speculation for now, but you can guarantee thered be a huge online backlash if Warner Bros. were to hire a new Cyborg and shunt Fisher to the sidelines after his string of very public revelations.

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Cyborg Reportedly Being Recast In DCEU With A Younger Actor - We Got This Covered

The Batman Universe Will Reportedly Introduce A New Cyborg – We Got This Covered

Any filmmaker attached to a DC Films project that wants to use Cyborg will find themselves in a tricky position, and thats putting it lightly. After all, Ray Fisher has gathered widespread support from both his peers and the online community after refusing to back down when it comes to calling out Joss Whedon and the Warner Bros. top brass for their behavior and subsequent lack of accountability in regards to the Justice League reshoots.

The actor already lost out on a solo film when the DCEU was reshuffled several years back, and he was also set to return and play a significant supporting role in The Flash, with producer Barbara Muschietti confirming Fisher was involved, before he eventually exiled himself from the shared universe entirely by stating that he wouldnt play Victor Stone again until Walter Hamada was out of the picture.

Theres been talk on more than one occasion that the studio would simply recast the role and move on, but you can guarantee thered be massive backlash from all sides if WB were to hire somebody else as Cyborg when Fisher shows no signs of giving up his crusade anytime soon. However, a recent leak which admittedly hails from Reddit but does come from a source with a decent track record for inside scoops offers that Matt Reeves wants a new version of the character in The Batman universe.

Its not a guarantee by any stretch of the imagination, but how to handle Cyborg presents a unique and tricky scenario for any creative mind, as well as their paymasters. Ignore Fisher and theres going to be uproar, but the fact remains that hes not planning on coming back until drastic changes have been made, so something will have to give eventually.

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The Batman Universe Will Reportedly Introduce A New Cyborg - We Got This Covered

The best and worst graphics card box art of all time – Rock Paper Shotgun

You can't buy a new graphics card for love nor money these days. When the RTX 3070 Ti went on sale last week, it followed in the footsteps of all new GPU launches this year and disappeared in a puff of smoke in 23 seconds flat. It's a real shame, as some of these new GPUs would be pretty decent upgrades if your current PC's starting to struggle a bit.

However, I put it to you that the real crime of 2021 is the current state of graphics card box art. It's just so... bland and sensible these days. Not like the good old days, when Palit's robo frog was giving you the evils from on high with a menacing grin, PNY's purple Verto face could turn you to stone with their piercing, cybernetic snake eyes, or... whatever the hell's going on with that goblin up there. Seriously, is that a glowing bagel on a stick? And what is with that terrible haircut? Oh no. Today's graphics cards don't know they're even born. So here's to you, GPUs of yore and their terrible box art. We miss ya.

As Alice0 mentioned the other day, it's this sort of graphics card heritage that would make a great addition to Colorful's just-announced GPU Museum. That said, I'm not gonna lie. A quick image search of old graphics card box art reveals a lot of scantily clad ladies in often preposterous combinations of fishnet tights, camo gear and terrible face paint. I mean, how else where graphics card companies going to make their latest silicon board look sexy to prospective buyers? Honestly, I'm glad we've moved on from all that now, but there are plenty of characters I'd love to see more of, like Palit's robo frog.

Just look at that good boy. Sure, the way he's somehow looking down on you and grinning manically is a teensy bit menacing in hindsight, but Palit have given this little green dude another lease of life with his new cyborg bod. Just imagine the power he can wield rendering all those watery pools of 1995. Glorious. More of him, please.

One of the aforementioned scantily clad ladies clad in the classic gamer colours of red and black, but honestly, what else says "GOTTA GO FAST" than a cool cyber bike from the late noughties? Sporting key selling points such as a massive 1GB of VRAM and HDMI with an optional dongle, this box art has it all. If someone would give the lady a nice cardy, I'd be happy to see her return.

PNY's terrifying human snake cyborg hybrid graced the box of many a GPU back in the day, and for my money, I think thet GeForce FX 5900 SE (bottom right) is probably his most terrifying incarnation. His giant purple head, backed by flames mirroring his golden yellow snake eye... It's unnerving stuff - even if it's an expert deployment of some good old fashioned complementary colour design. His eyes... they stare into my soul. No more of him, please.

Gosh, I love a graphics card with a hood that matches the box. I'm not entirely sure what the heck this second rate Poison Ivy-alike is doing with her stringy green, red petal... thing, or whether that glowing green orifice is part of her own shoulder or something else entirely. All I know is that it probably, maybe, looked achingly cool back in 2010 (yes, 2010) where everyone was still caught in the passionate throes of having watched The Dark Knight for the fifteenth time on DVD. If there was one thing you wanted to see in Nvidia's 3D Vision gubbins, it was probably this lady. Maybe.

Back in the heady days when XFX still made Nvidia cards, their GPU hero was this mean looking masked dog boy. I have a feeling he'd put up a pretty good fight against Palit's robo frog, because my word, just look at those rippling muscles. If buff guard dog wasn't enough of a loss to the GPU box art world, though, just get a load of that weird, cross-shaped box! As if it's been crushed by the paws of buff guard dog himself. More of that, please, XFX.

As yes, the Croft that even Lara's ashamed to admit she's related to, Sapphire's 'Prepare To Dominate' lady adorned the box of many a GPU back in the day. Was there ever a time when she wore actual shorts? Who can say. Such information is lost to the annals of time now, but I do like the idea that she still feels the need to mask her identity with a little eye mask all the same. Still, I'm glad this one's hung up her pistols and entered retirement now. Someone's got to watch the Croft mansion while Lara's doing her disaster tourism, after all...

The other Croft often shared graphics card box art duties with her best friend Camo Girl. No one knows her true identity, though, thanks to her expert camo mask. In fact, most of her other GPU stable mates just plain ignored her most of the time because she was so carefully camouflaged against her surroundings. Except when someone put a whacking great red and black backdrop behind her, though. Then she stood out like a sore thumb. I'd imagine she had pretty sore shoulders from carrying around that big ring of bullets all day, too. Poor lass. You deserve a nice rest love. Just let me lead you down into this bunker here, where you'll feel most comfortable. Yes, that's it. You lie down while I seal the door forever behind me. What's that? Nothing dear, you go sleep now. It will all be over soon.

Holy, flying whale cakes, now that's what I call an incredible bit of graphics card box art. Who needs sexy army ladies when you can have a cool, massively over the top samurai orc boy riding a majestic horned demon horse that looks like they've just cantered in as part of an elaborate Final Fantasy summon? Asus' Radeon HD 7750 ticks a lot of boxes here (sorry). Not only have you got an incredibly powerful mascot on the front, but there's fire, there's lightning, an ominous gothic castle in the background and, most importantly of all, it's got SUPER ALLOY POWER. And of course the final graphics card looks just as formidable as well. None of that Fishcer Price plastic nonsense that makes it look like a knock-off Bop-it or anything here, no sir. Where's Yuna when you need her, eh? I want this GPU summoned back into existence, STAT.

Another cracking box and GPU hood matching combo, Zotac's eerie golden Midas man is just as terrifying as PNY's Verto borg in my eyes. Even XFX's Buff Guard Dog would have a hard time piercing that shiny gold bod, I reckon. I mean, just look at him. This guy is smugness personified. He knows his 512MB of GDDR3 memory is the bees knees, just as much as he loves raving about his HDTV, HDCP, PCI Express 2.0 and Low Noise Cooling features. He looks down on you, Mr Midas does. And there's nothing you can do but grovel under his piercing white gaze and submit to his furious might.

Honestly, there's such a wealth of bad graphics card box art out there that it's hard to know where to go next. Do we celebrate monochrome bondage lady? Or pink robo lady? What about sneaky gremlin boy with the green bagels? he must be a relation to the moob goblin from the header, surely. There's also Wannabe Thief Fan, and perhaps my favourite, Chrome Alien Lad. He's much better than all the other quasi-winged folks on these boxes. Bring back that guy, ATI. If anyone deserves a second chance at box art stardom, it's our mate in chrome. I mean, just think how good he'd look with ray tracing these days. That boy would SHINE.

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The best and worst graphics card box art of all time - Rock Paper Shotgun

What You Need To Remember Before Watching Rick And Morty Season 5 – Looper

Just to remind you of some of the basics, "Rick and Morty" is set on a version of Earth where Rick Sanchez (Roiland) lives with his daughter Beth (Sarah Chalke), son-in-law Jerry (Chris Parnell), grand-daughter Summer (Spencer Grammer) and of course his grandson Morty (also Roiland). All four family members appear in most episodes, and they all have their issues.

Beth and Jerry are often a toxic couple (once getting a divorce before reuniting), often due to Jerry's incompetence and spinelessness while Beth, like her father, struggles with alcoholism and fears being too attached to others. Summer is usually the most well-adjusted, although she also has her issues with self-image and friction with other family members. Morty is often traumatized by the adventures he and Rick go on and struggles with fitting in at school as well as his constant crush on his classmate, Jessica (Kari Wahlgren).

When not at home, Rick and Morty (and occasionally the other family members) go on adventures across planets and dimensions with the use of Rick's portal gun and space cruiser. Each dimension has its own version of each family member, with the main duo living in a nearly identical dimension and taking the place of its Rick and Morty after an episode in Season 1 effectively ruined the Earth. This means that no characters aside from Rick and Morty are the "original" characters, but although this is sometimes brought up, they try not to think about it too much.

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What You Need To Remember Before Watching Rick And Morty Season 5 - Looper

MMA pound-for-pound rankings – Two ex-champs stake their places in men’s and women’s top 10 – ESPN

Israel Adesanya is back on track. Three months after suffering his first loss in a bid to add the UFC light heavyweight championship to the middleweight title he already owned, Adesanya successfully defended his 185-pound belt against Marvin Vettori over the weekend.

It was a dominant performance. The champ won all five rounds on the scorecards of all three judges. He successfully fended off 10 of his challenger's takedown attempts. And when he got taken to the canvas, Adesanya was able to quickly get back to standing or reverse position on the mat. Vettori was unable to do anything against him.

Monday through Friday, host Pablo Torre brings you an inside look at the most interesting stories at ESPN, as told by the top reporters and insiders on the planet. Listen

Despite all of that, Adesanya does not rise in the latest ESPN men's pound-for-pound rankings. It's tough being stuck behind Kamaru Usman and Jon Jones. Adesanya remains at No. 3.

Both the men's and women's rankings do have new faces down at No. 10.

In the case of the men's top 10, the new entry is actually a familiar face. Former featherweight champion Max Holloway, who had a masterful performance against Calvin Kattar in January, moved back into the rankings after Deiveson Figueiredo -- who lost his flyweight belt on Saturday -- vacated his spot in the top 10. New 125-pound champ Brandon Moreno did receive voters from a couple of panelists but not enough to crack the top 10.

The new women's rankings also added a former champion: Carla Esparza, who in 2014 became the inaugural UFC strawwweight champ. Esparza has won five in a row, most recently a second-round TKO of Yan Xiaonan in May.

Note: Results are current; rankings as of June 15.

1. Kamaru Usman

UFC welterweight championRecord: 19-1Last: W (KO2) Jorge Masvidal, April 24, 2021Next: TBD vs. Colby Covington

2. Jon Jones

UFC light heavyweight/announced move to heavyweightRecord: 26-1, 1 NCLast: W (UD) Dominick Reyes, Feb. 8, 2020Next: TBD

3. Israel Adesanya

UFC middleweight championRecord: 21-1Last: W (UD) Marvin Vettori, June 12, 2021Next: TBD

4. Francis Ngannou

UFC heavyweight championRecord: 16-3Last: W (KO2) Stipe Miocic, March 27, 2021Next: TBD vs. Derrick Lewis

5. Alexander Volkanovski

UFC featherweight championRecord: 22-1Last: W (SD) Max Holloway, July 11, 2020Next: TBD vs. Brian Ortega

T-6. Jan Blachowicz

UFC light heavyweight championRecord: 28-8Last: W (UD) Israel Adesanya, March 6, 2021Next: Sept. 4 vs. Glover Teixeira

T-6. Dustin Poirier

UFC lightweightRecord: 27-6, 1 NCLast: W (TKO2) Conor McGregor, Jan. 23, 2021Next: July 10 vs. Conor McGregor

8. Stipe Miocic

UFC heavyweightPrevious ranking: 9Record: 20-4Last: L (KO2) Francis Ngannou, March 27, 2021Next: TBD

9. Charles Oliveira

UFC lightweight championPrevious ranking: 10Record: 31-8, 1 NCLast: W (TKO2) Michael Chandler, May 15, 2021Next: TBD

10. Max Holloway

UFC featherweightPrevious ranking: UnrankedRecord: 22-6Last: W (UD) Calvin Kattar, Jan. 16, 2021Next: TBD

Other fighters receiving votes: Brandon Moreno, Robert Whittaker and Petr Yan

Ariel Helwani1. Kamaru Usman2. Jon Jones3. Israel Adesanya4. Alexander Volkanovski5. Francis Ngannou6. Charles Oliveira7. Dustin Poirier8. Max Holloway9. Jan Blachowicz10. Brandon Moreno

Brett Okamoto1. Kamaru Usman2. Jon Jones3. Israel Adesanya4. Alexander Volkanovski5. Jan Blachowicz6. Dustin Poirier7. Max Holloway8. Francis Ngannou9. Petr Yan10. Charles Oliveira

Marc Raimondi1. Kamaru Usman2. Jon Jones3. Israel Adesanya4. Francis Ngannou5. Stipe Miocic6. Alexander Volkanovski7. Dustin Poirier8. Jan Blachowicz9. Charles Oliveira10. Robert Whittaker

Jeff Wagenheim1. Jon Jones2. Francis Ngannou3. Kamaru Usman4. Israel Adesanya5. Stipe Miocic6. Jan Blachowicz7. Alexander Volkanovski8. Dustin Poirier9. Charles Oliveira10. Brandon Moreno

1. Amanda Nunes

UFC bantamweight/featherweight championRecord: 21-4Last: W (Sub1) Megan Anderson, March 6, 2021Next: Aug. 7 vs. Julianna Pea

2. Valentina Shevchenko

UFC flyweight championRecord: 21-3Last: W (TKO2) Jessica Andrade, April 24, 2021Next: TBD

3. Cris Cyborg

Bellator featherweight championRecord: 24-2, 1 NCLast: W (TKO5) Leslie Smith, May 21, 2021Next: TBD

4. Rose Namajunas

UFC strawweight championRecord: 10-4Last: W (KO1) Zhang Weili, April 24, 2021Next: TBD

5. Zhang Weili

UFC strawweightRecord: 21-2Last: L (KO1) Rose Namajunas, April 24, 2020Next: TBD

6. Joanna Jedrzejczyk

UFC strawweightRecord: 16-4Last: L (SD) Zhang Weili, March 7, 2020Next: TBD

7. Jessica Andrade

UFC flyweightRecord: 21-9Last: L (TKO2) Valentina Shevchenko, April 24, 2021Next: TBD

8. Germaine de Randamie

UFC bantamweightRecord: 10-4Last: W (TechSub3) Julianna Pea, Oct. 3, 2020Next: TBD

9. Holly Holm

UFC bantamweightRecord: 14-5Last: W (UD) Irene Aldana, Oct. 3, 2020Next: TBD

10. Carla Esparza

UFC strawweightPrevious ranking: UnrankedRecord: 18-6Last: W (TKO2) Yan Xiaonan, May 22, 2021Next: TBD

Other fighter receiving votes: Katlyn Chookagian

Ariel Helwani1. Amanda Nunes2. Valentina Shevchenko3. Cris Cyborg4. Rose Namajunas5. Zhang Weili6. Joanna Jedrzejczyk7. Jessica Andrade8. Germaine de Randamie9. Holly Holm10. Katlyn Chookagian

Brett Okamoto1. Amanda Nunes2. Valentina Shevchenko3. Rose Namajunas4. Cris Cyborg5. Zhang Weili6. Joanna Jedrzejczyk7. Germaine de Randamie8. Jessica Andrade9. Carla Esparza10. Katlyn Chookagian

Marc Raimondi1. Amanda Nunes2. Valentina Shevchenko3. Cris Cyborg4. Rose Namajunas5. Zhang Weili6. Joanna Jedrzejczyk7. Jessica Andrade8. Germaine de Randamie9. Holly Holm10. Carla Esparza

Jeff Wagenheim1. Amanda Nunes2. Valentina Shevchenko3. Cris Cyborg4. Rose Namajunas5. Zhang Weili6. Joanna Jedrzejczyk7. Jessica Andrade8. Germaine de Randamie9. Holly Holm10. Carla Esparza

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MMA pound-for-pound rankings - Two ex-champs stake their places in men's and women's top 10 - ESPN

Ray Fisher Demands WB To Restore The SnyderVerse – Small Screen

This is a battle thats seemingly been going on since the dawn of time (its only been a few months in reality). However, Ray Fisher has now taken to Twitter to demand that Warner Bros. Pictures restores the SnyderVerse.

Ray Fisher played Cyborg in Justice League and Zack Snyders Justice League and it probably wasnt the best experience for the actor.

Hes revealed what it was like working on the movie when Joss Whedon took over the production.

Since revealing how it was for him working with Joss Whedon and certain executives at Warner Bros. Pictures, there have been a number of other actors whove also come out in support of Fisher.

A number of actors have also revealed what Joss Whedon was like to work with and it doesnt make for good reading.

However, then the Snyder Cut was released and people saw a much-improved film from Whedons 2017 theatrical release.

Yet, even though the film was a pretty big success, Warner Bros. Pictures still refused to carry on the SnyderVerse.

That said, theres been a huge outcry online for the SnyderVerse to be restored, and Ray Fisher has added his voice to the millions.

Fisher took to Twitter recently to share the hashtag #RestoreTheSnyderVerse, and people loved him for it.

Read more: Jared Leto Calls For WarnerMedia To Restore The SnyderVerse

The tweet went viral, with over 16,000 people liking it and over 5,000 people retweeting it.

#RestoreTheSnyderVerse also ended up trending on Twitter the other day, again.

I think #RestoreTheSnyderVerse must be one of Twitters best-performing hashtags over the past few months.

Will this convince Warner Bros. Pictures to do what the fans and Ray Fisher are asking them to do?

Only time will tell.

However, this new WarnerMedia/Discovery merger has given the fans hope, and for good reason

Discovery must see how popular the SnyderVerse is and might be convinced to keep it going over on streaming.

We will have to wait and see what happens.

What do you make of this news?

Are you hoping that Warner Bros. Pictures will go ahead and restore the SnyderVerse?

Let us know your thoughts in the comments below.

What do you make of this story? Let us know in the comments below or on ourFacebook, Twitter or Instagrampages! And if you enjoy listening to film podcasts, why not check out our podcasts,Small Screen StoriesandSmall Screen Film Clubwherever you get your podcasts!

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Ray Fisher Demands WB To Restore The SnyderVerse - Small Screen

The New Normal: What If Your Beloved CRM Is Big Tech’s Next Target? – Inman

The New Normal is a multistory Inman series exploring whats returning to normal after the pandemic fades and what will never be the same. Check back tomorrow for a new installment and join usJune 15-17when we take the conversation live atInman Connect.

LionDesk founder David Andersons father and grandfather practiced real estate for decades. His sister is an agent, and his step-father was a mortgage broker.

After success in software within the travel industry, the prospect of another challenge called to Anderson. So why not enter the family business?

Although I knew it would be hard work starting a new company from zero, and getting no outside investment, I was up for the challenge and was ready to have fun, Anderson said in an email to Inman.

He also shared the initial handwritten napkin sketch upon which he built his company. Scrawled on the napkin with a roughed-out logo, the message was succinct: Make sales and marketing easier for real estate agents. And thats what he did.

Once on the market, LionDesks $25-per-month fee gave individual agents access to a CRM they could afford independently and the freedom to operate with autonomy when their brokers offering cost too much money or wasnt the best fit for the agent.

The CRM proliferated by providing sophisticated lead management, generation and follow-up for the everyday agent. It was one of the first in the space to offer text automation, which empowers agents to program auto-follow-up campaigns using text instead of email, which had been the standard for a long time.

LionDesk also championed open ecosystems, a model that connects many common third-party tools to help users consolidate data and connect features. (Realogy is a champion of this open ecosystem approach.)

As it goes, LionDesk was sold to Canadian enterprise software builderLone Wolfas part of its recent surge in growth. When tech is acquired, customers often have concerns, especially related to their data.

However, several clients rightfully congratulated Anderson, who was transparent and ever-present with his user-base throughout. He will stay fully embedded with the software as general manager of agents and teams for Lone Wolf.

Nevertheless, his customers have a right to be concerned about what lies ahead for the affordable, feature-rich CRM. For every agent whose valuable tech gets sold, the concerns can include price increases, losing certain lead source partners, changing website templates or new lead-routing models, among many others.

And the technology agents use wont cease evolving. It will continue to automate, making the agents day-to-day life easier. And the more it innovates, the harder it is to break away from the daily conveniences it provides.

As was the case with LionDesk, theres a clear trend of CRMs and other valuable business tech getting acquired by larger names. Agents and brokers should consider this trend the new normal among all real estate tech sectors, from portals to back-office solutions. Tech is changing hands rapidly, and potentially taking the way agents do business onto the next company with it.

At this pace in such a limited vendor category within this pressurized market this trend has no reason to slow down.

The people behind these acquisitions are hunting for potential Wall Street trophies. And even though your favorite CRM may not end up publicly traded, it could end up emblazoned on the memo line of a massive check.

Its time for brokers and agents to begin thinking about how theyll react when a larger company likes their CRM as much as they do.

Lets first look at how CRMs have become the lifeblood of agents businesses.

It wouldnt be hard to find agents who once worked from an Act! database or maybe an Outlook contact list. These were the early iterations of lead databases. Before them, it was Rolodexes and hard copies. But this was true for all industries, not just real estate.

As the internet merged with business, solutions for keeping tabs on contacts and leads became a cottage industry and, eventually, an industrial enterprise. Once online home search took hold, agents needed ways to channel people from their website to their database without losing critical information.

From there, the fundamental business concept of customer relationship management staying in touch with clients morphed into whats now colloquially known asthe CRM,an amalgamation of omnichannel marketing, sales support, and account management. The CRM has gone from a value-add business tool to a fully integrated component of everyday business.

Todays software tells you who to call and email and then leaves the voicemail and sends the email for you. Who wouldnt want this tech empowering their business?

Vendors in the industry employ large teams of foreign and domestic coders, interface designers and product managers, all working to create new ways for agents to work smarter.

The advancements are taking work out of the agents hands, a powerful benefit when one considers how much work it requires to generate new business and manage whats current. Although automation and tools to simplify the workload for agents are out there at all levels of the CRM space, some of the more prominent names in the space are making them a priority.

For example,Inside Real Estaterevamped kvCORE for spring 2021. Its Lead Details module is more or less on autopilot, continually updating a users entire database by monitoring home search-related activity. It also double-checks the authenticity of the leads actions to provide the agent with everything needed to reach out. And kvCORE isnt the only one.

Highly popular CRM BoomTowns Success Assurance Program combines human interaction and marketing automation. The service actively monitors a database from the moment of account setup to gauge a contacts activity level, score them and then recommend the appropriate action.

This feature came about afterBoomTown discovered the longer a contact record (a lead) is exposed to marketing, the more apt they are to work with that agent. This tremendous realization aims to solve the long-standing call me when you decide to sell conundrum.

Hours of tedious, manual recording of lead follow-up is quickly dissipating with such automation and high-touch CRM database management, opening up critical windows of energy to be spent elsewhere, like managing blossoming deals and in-escrow transactions.

The result is making CRM technology ever more challenging to pry away from a busy agent and thriving brokerage. That tight grip makes switching CRMs ever more complicated, and providers know that.

The more valuable CRMs are to agents, the more dollar signs larger technology companies see in them. CRM solutions offer large technology companies access to intelligent technology that agents are already entrenched in, which can pose myriad problems for those agents. Brokers, teams and agents need to brace for this new normal.

Innovation happens faster in small spaces, where ideas quickly ricochet into features, and user feedback, not subject to a vacuum, is easier to implement. Startups become targets because theyre small enough to focus on solving a single problem and getting it to market quickly. They become more valuable to the marketplace.

DashCMA, for example, was built by a mom-turned-advertising-executive-turned-real-estate agent and sold in under two years to well-funded, long-established Inside Real Estate.

Similarly, open house solution Spacio was developed and championed by a small team. HomeSpotter acquired it, and itsnow part of Lone Wolf.

These deals move fast. The quicker startups disrupt a market, the more attention they command, especially when theyre small and offer a new take on an old problem.

Funding to proptech startups quadrupled between 2015 and 2019, with investors allocating $8.9 billion across more than 500 deals in 2019, according to technology economy analystCBinsights.com. Naturally, 2020 saw a slowdown, but the organizations reporting shows that theres ample room for growth in real estate tech.

Real estate technology has transformed the industry, putting more control in the hands of consumers and giving salespeople flexible solutions, Laura Adams, senior real estate analyst at Aceable, said in a May 25TechRepublic report.

Unfortunately, all of that money fueling startups can bring risk to the user.

Thus, its common for customers to leave a technology partner because of an experience with or assumptions about the new parent company. People will continue to get upset every time Compass, Opendoor, CoStar and Zillow make any notable industry move.

No better recent example of this can be found in the reaction to Zillows latest trip to the market, which resulted in it spending $500 million on the industrys most-accessed home showing tool.

Inman reader Clay Stapp was one of many who wasnt thrilled with the deal. Whats a good alternative to ShowingTime? Im done he wrote in the comments section of the story.

Wow Why would my MLS dollars go to support this in using ShowingTime, what a MISTAKE When are Realtors going to wake up and see what is really going on here? Robert Adams commented.

Other readers threw around the word monopoly and expressed concern about ownership of listing data.

Although no other technology company in real estate ignites as much passion in agents as Zillow, Compass is a relatively new close second. Its 2019acquisition of CRM Contactuallytook flack.

NO COMPETITOR IS EVER APPROPRIATE AS A VENDOR! Compass can say they will not access data from non Compass agents, but who wants to take a chance, reader Tom Bailey commented on the Inman story.

Interesting announcement from a company that thought that they were the only ones capable of developing a state of the art agent technology tool kit, Larry Knapp wrote. At least theyre not too arrogant to admit they were wrong. This will help put them on a par with the many great traditional brokerages who have been using Contactually for quite some time.

What those readers are communicating is not a rare sentiment, theres a great deal of passion in this industry, and its possible your CRM could end up under the banner of a company with a lot of heat on it.

In 2020, Naberly Solutions added to its offeringa sharp, competitive CRM. Within a year of that announcement,IntelliAgent acquired it.

Constellation Real Estate Group bought long-time industry CRM TopProducer in March to cap off an impressive buying spree. Its other acquisitions include marketing tech companyTorchX, lead-gen solutionOffers,Real Estate Digital,Baynet World,SmartZipandParadym.

But consolidation is happening in other ways, too: partnerships.

Partnerships are forming across the proptech space, all designed to merge common user groups.

If a CRM wants to add transaction management, it likely calls upon SkySlope or DocuSign. Or maybe if a lead-generation service wants to help its customers route leads, it might build a connection with a CRM.

Chimes built-in lead scoring recently got a boost byintegrating with relocation data service Revaluate, which owns a powerful algorithm for predicting when a person is likely to move. Its system constantly roams a Chime users database to detect activity indicative of a move, such as searches about new neighborhoods, portal browsing or credit checks.

There was a time when we believed an all-in-one platform was the best way to support agents, saidMike McGowan of Chime. Through our strategic partner program, we learned that by maximizing the potential of each best of breed partner and tightly integrating with our powerful CRM, we can deliver a more powerful technology stack to our clients.

Desire to expand is why open APIs (application programming interfaces) exist. Zapier, a tremendously popular product, was solely founded to connect different software products.

Its crucial for brokers and agents to look for specializations in their technology stack, which means multiple partnerships, explained Howard Tager, co-founder of Ylopo.

In a growing trend, the highest performing teams now choose to work with the top specialized providers in each category and make sure that there is seamless integration with these top gun solutions, Tager said.

Unfortunately, when a larger company comes for blocks of your tech stack, the benefit of that nicely assembled foundation can crumble.

Brokers have a hard enough time choosing a vendor and encouraging adoption. As big tech continues to absorb its more nimble rivals, more brokers will face more technology decision points, leaving agents wondering where they have to log in next.

These CRM acquisition trends illustrate why Gary Keller andRobert Reffkinare so driven to own their code, regardless of howbumpy the roadis to get there.

Agents within such brokerages should realize that outside of the entire brand being acquired, their tech is there to stay. They can feel better about committing to it.

Additionally, its much more likely that these brokerages will communicate software changes, problems, and updates ahead of time (in an ideal scenario), offering agents the opportunity to prepare and adjust as needed. Thats not to say your current independent CRM doesnt do that, but typically user feedback groups and feature beta tests are limited in size and scope.

The companywide collaboration and enterprise-level commitment to the technology can provide agents with more peace of mind about its longevity and support. In short, theres a were all in this together mentality.

Brokers and agents dont have any reason to believe your technology provider will abandon you. Thats an extreme way to couch the issue.

Sales and marketing automation are terrific advancements for the industry. Yet, how often does the user know the strategy behind them? Does the everyday agent with an already heavy task load really know how their CRM is scoring their leads?

Agents should exercise support teams understanding of whats happening when an automated response campaign gets triggered, and technology providers should be ready to explain it.

Agents need to make sure they have a grip on the underlying business and marketing concepts their CRM is performing for them. Additionally, they need to ensure their technology-based marketing plan is portable and can translate into a new system.

The set-it-and-forget-it approach is only good when you know how it all works. Thus, get into the weeds on why segmentation is essential for lead nurture and lead management efficiency, and take time to understand how a single-listing page works and what it does for your seller.

Its crucial for agents to know what percentage of their database is their own, always. The percentage of leads and contacts that are paid for by your brokerage and facilitated by your CRM are likely not yours to walk away with. Meaning, if you happen to get a new CRM, it will look a bit different because it will be working with different relationships.

The ever-changing technology landscape is a big part of why earned leads are gaining ground; they offer a stronger sense of ownership, control and longer-term ROI.

Technology providers should begin to share the systems behind lead analysis algorithms or find a way to make the process more transparent.

Providers can help their constituents by offering a little goodwill along the way. By no means should any business halt their long-range goals or sacrifice employee goodwill, but they can create a balance.

This could take the form of an acquisition promise that entails sharing plans to sell in advance or at least communicating as a deal is happening. Dedicated customers dont always have to find out their CRM was acquired by reading Inman.

They can do some customer relationship management of their own.

Lastly, the industry needs to do its homework on the rise of SPACs, or special purpose acquisition companies.

SPACs arecompanies specifically formed to acquire businesses and take them public, and theyre popping up all over residential real estate. Opendoor used one to go public, and former Zillow CEO Spencer Rascoff also has a SPAC thatsin the processof taking Offerpad public.Matterport is on its way to the stock exchangevia a merger with Gores Holdings VI.

Regardless of how brokers prepare themselves or what a technology vendor does for their bottom line, working in the right now of the real estate tech space must be similar to what its like to sit in the cockpit of a starship as it jumps to lightspeed: Its kind of a blur.

And agents are only along for the ride.

Email Craig Rowe

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The New Normal: What If Your Beloved CRM Is Big Tech's Next Target? - Inman

Gavin Newsom is getting huge donations from big tech as he fights recall – SFGate

June 8, 2021Updated: June 8, 2021 4:47p.m.

California Gov. Gavin Newsom listens to questions during a news conference outside a restaurant in San Francisco.

California Gov. Gavin Newsom can raise an unlimited amount of money as he attempts to survive a recall election later this year, and he is pulling in massive sums of money from technology executives.

At the end of May, he pulled in $3 million by far the largest sum of money spent on the recall on either side from Netflix founder Reed Hastings. On Tuesday, a new filing from the California Secretary of State's office showed that he received an additional $300,000 from tech titans.

The governor received $200,000 from Laurene Powell Jobs the widow of Apple CEO Steve Jobs and founder of the Emerson Collective as well as $100,000 from former Google CEO Eric Schmidt.

Powell Jobs has long been a Democratic Party mega-donor, giving $500,000 to President Joe Biden in 2020. She also has donated thousands of dollars to congressional Democrats over the years.

Schmidt has also been active in aiding the Democratic Party, as he once funded a startup that became a major technology vendor for Hillary Clintons presidential campaign in 2016.

Powell Jobs and Schmidt were just two of 75 signatories on a letter from tech executives announcing their opposition to the recall, so more big money contributions could be coming.

The donations were made to Newsom's "Stop the Republican Recall of Governor Newsom" committee. According to CalMatters, the governor's side has raised about $13.5 million to date, while recall supporters have raised $4.7 million.

Eric Ting is the editor of California Issues, SFGATE's politics section. He is an East Bay native who has a Master's degree in journalism from Stanford University. Eric did his undergrad at Pomona College, where he majored in politics and minored in economics. Email: eric.ting@sfgate.com

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Gavin Newsom is getting huge donations from big tech as he fights recall - SFGate