NEX Optimisation Rolls Out New Automation Settlement Service for OTC FX – Finance Magnates

NEX Optimisation has implementedout a new settlement service for over-the-counter (OTC) FX, helping better facilitate and streamline bilateral settlement netting processes for market participants. The launch will mark one of the industrys first instances of a fully automated Settlement Netting Service, initially targeting OTC FX as well as additional asset classes moving forward.

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The new service will help address thelingering issue of settlement failure rates. While only estimated at nearly 3 percent, these do amount to nearly $1.5 billion on a daily basis. However, the deployment of an API to simultaneously communicate with clients, banks and custodians systems will help mitigate and ideally reconcile this issue.

NEX Optimisations service will abandon the manual process in favor of automated netting between clients and their dealers to date, manual methods have resulted in settlement fail rates and other unnecessary fragmentation that has had a disconnect with markets.

In its first iteration, NEXs Settlement Netting Service will target and automate the settlement netting of only OTC FX, though is also slated for an expansion into all asset classes in the near future. The service was developed utilizing Traianas technology infrastructure, yielding several new benefits for trading activities and settlement processing.

This includes heightened efficiency via the reduction of lead time between netting and settlement as well as a lower operational and funding costs, settlement fail breaks and costly claims. This has been one of the largest areas of emphasis through its Settlement Netting Service, which had been working to improve in this area.The service will also help provide a standardized process for netting participants. In addition to reduced risk exposure, the automated service is also in full compliance with regulatory regimes and the new FX Global Code of Conduct.

Joanna Davies, Managing Director at Traiana, commented on the launch: The Settlement Netting Service will allow traders to execute with any bank on any trading venue and enjoy optimised, efficient, automated and consistent post-trade processing from execution through settlement.

Settlement netting processes have traditionally been fragmented across organisations and asset classes, requiring extensive manual processing, which does not reflect the way in which the market is moving. By automating the entire netting process via a central hub, weve brought an essential tool to the market that will significantly reduce breaks and have a direct impact on costs for our clients, she added.

The release of the Settlement Netting Service comes just one month after NEX introduced a new infrastructure for NEX Infinity, which improved testing for FX and cash equities on the distributed ledger. The initiative has since helped clients benefit from less complexity and more optimized resources across the transaction lifecycle.

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NEX Optimisation Rolls Out New Automation Settlement Service for OTC FX - Finance Magnates

How to Survive In the New World of Automation – Business.com

As technologies develop, change and become adopted throughout an industry, businesses hoping to remain competitive must keep up and adapt with them.

As technologies develop, change and become adopted throughout an industry, businesses hoping to remain competitive must keep up and adapt with them. However, the increasingly complex developments in the world of automation mean more tasks are carried out by machines now. This advancement is forcing companies to rethink how they do business, what they offer to customers and what people are paying for when they seek someone for business services.

Companies trying to survive in the new world of advanced automation must learn to adapt quickly, think creatively and reinvent itself from the inside out in order to maintain relevance in the current economy. Otherwise, they will become outdated and fall to the wayside. Its the Second Machine Age, and success requires adaptation.

In the world of automation, convenience trumps convention. This means that as soon as customers are introduced to an automated or improved version of the skills you offer, they're going to flock to companies that have done so. Automation makes services faster and cheaper, and more gets accomplished in less time. Customers can prefer this method, particularly as they desire less and less interaction with a business. If you fail to adopt standard automation while your peers do, your business will stand out for being slower and more expensive.

People are attracted to innovation, and they're particularly attracted to innovation that makes life easier. Companies won't succeed by appealing to a traditional way of life or old-time method anymore, unless you're in a hyper luxury market. If you want to grow your business and reach more customers, you have to switch to the automation available to increase efficiency and handle the new capacity.

As we become more dependent on technology, we increasingly connect more aspects of our lives together. For example, Google, which is currently a major international player in technological developments, now controls our email, smartphones, cars, glasses, video-sharing sites and even everyday objects. The result is that you can connect these features more easily. You use your Gmail account to connect your smart glasses and collect and maintain data, and your smartphone to read your email as well as access your social media.

You can use your phone to turn your car on, and you can buy a home smart system that allows you to control all your home equipment by voice. Increasingly, customers want everything to be connected, and the development of more advanced automation and artificial intelligence allows us to make that happen. Businesses have to get into this mindset in order to succeed, such as by developing a phone app customers can use to order from. In order to keep up, you must think about how to make your service more widely accessible.

When you're searching for solutions, be sure that your company is backing you up. That is, ensure that when you hire employees and select people for management positions, you select people who can work with technology, are comfortable with change and development, and who can be an innovative thinker that moves your business forward.

It also means that when an employee proposes a radically new idea, particularly a tech-based idea, you train executives to consider it as a legitimate possibility rather than dismiss it as difficult. In order to survive the era of automation, your business must be willing to innovate and to lead and promote change from within.

Don't wait for your competition to develop enhancements and use automation to their benefit. Begin examining the structures and processes of your company and evaluating places where you can make significant overhauls or introduce serious innovation.

Jeremiah Owyang

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How to Survive In the New World of Automation - Business.com

Automation helping business overcome cash-flow challenges – Information Age

'Eliminating the hefty amounts of paperwork that finance professionals have to deal with on a regular basis, will save businesses an incredible amount of time in the long run. For a business of any size, time management is essential'

Ten thousand businesses fail each year as a consequence of late payments, according to a study by the Federation of Small Businesses. The report also uncovered that of the 17 billion currently owed to small businesses, 6.8billion is expected to be paid late.

The fines imposed on businesses for late payments to their suppliers can also have a detrimental effect on their reputation as well as profit margins. The governance institute,ICSA, uncovered that nearlytwo thirdsof companies fear reputational damage more than fines. This increases the pressure on finance and accounting departments to ensure that they are resolving outstanding payments, whilst ensuring that they are paying their suppliers on time.

>See also:Automating the finance function to unlock the value of your accountants

Technology including cloud technology, artificial intelligence (AI), automation, and machine learning will have a major impact on the day-to-day lives of professional services workers,upendingmany traditional ways of doing business.

Bhupender Singh, CEO of global BPO Intelenet Global Services, commenting on the findings, said: Eliminating the hefty amounts of paperwork that finance professionals have to deal with on a regular basis, will save businesses an incredible amount of time in the long run. For a business of any size, time management is essential.

Within finance and accounting departments,paper basedprocesses will be impacted the most as automation will enable accountants to reduce or eliminate data-entry tasks, monitor cash flows and ensure payments are made on time.

>See also:Automating the finance department

Only one-third of all enterprises have any significant level of automation in place, continued Singh,as it can be a struggle for businesses to find the right fit for their needs. However, the implementation of quality assurance & transaction monitoring methods can result in lower invoice processing costs and also superior process and data visibility.

We see automation playing the biggest role in helping professional services in the areas of connectivity and information filtering and analysis, ultimately allowing accounting professionals to become more proactive rather than reactive in managing client relationships and driving company growth.

The UKs largest conference fortechleadership,TechLeadersSummit, returns on 14 September with 40+ top execs signed up to speak about the challenges and opportunities surrounding the most disruptive innovations facing the enterprise today.Secure your place at this prestigious summit byregisteringhere

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Automation helping business overcome cash-flow challenges - Information Age

Groups draft changes in law on poll automation – Inquirer.net

Several poll watchdog groups are now drafting amendments that they would propose to strengthen the 10-year old Election Automation Law.

In a press briefing, the Automated Election System (AES) Watch, transparentelections.org, Philippine Computer Society and Reform Philippines Coalition (RPC) said they were already outlining provisions aimed at changing and improving Republic Act (RA) No. 9369.

We are actually drafting a new Automated Election System (AES) law that would strengthen the institution of automated elections in the country, said RPC spokesperson Glenn Chong.

He said the new AES draft aimed to better ensure that the basic principles of an automated poll system were safeguarded.

This would strengthen the security and ensure that our elections would be transparent, clean, honest and secure, Chong said.

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The election watchdog groups had been criticizing the Commission on Elections (Comelec) for tapping Smartmatic International for the last three national elections despite the AES providers supposed violations of the provisions of RA 9369.

Recently, the groups said it was possible that fraud was committed during the May 2016 elections after all the security features required by RA 9369 were, according to the groups, disregarded by the Comelec and Smartmatic.

Maricor Akol, transparentelections.org coconvener, said one particular provision that the groups were considering is how to ensure accountability in case the error is committed by the Comelec.

There were no provisions for penalties [in RA 9369]. What would happen if they are the ones guilty of failing to secure the system? What if they fail to do something? In the revision that we are coming out with, well come out with the penalties, Akol said.

AES Watch spokesperson Nelson Celis said the draft measure was already in its final review stage.

It is already for submission to the Senate hopefully in two to three weeks, he said.

Subscribe to INQUIRER PLUS to get access to The Philippine Daily Inquirer & other 70+ titles, share up to 5 gadgets, listen to the news, download as early as 4am & share articles on social media. Call 896 6000.

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Groups draft changes in law on poll automation - Inquirer.net

China to Invest Big in Artificial Intelligence and Automation – Wall Street Newscast

(NEW YORK)At their recent Artificial Intelligence (AI) Summit in Tianjan, China made clear its plan to invest heavily in AI and automation technologies in the next 10 to 15 years.

Among one of the plans discussed is to make Tianjan, China a cash-free city that uses largely electronic payments instead of cash in a partnership with e-commerce giant Alibaba (NYSE:BABA).

Autonomous vehicles were another particular highlight at the summit, with an ongoing competition involving 63 teams is test Chinese-made self-driving vehicles after go through a series of tests.

At the AI summit Wan Gang, the minister of science and technology, said they would soon release a development plan focusing on AI capability, the application of AI technologies, policies to handle such risks as job losses, and international collaboration.

The United States has taken a global lead in many aspects of artificial intelligence, from automated workplace functions to self-driving vehicles, and venture funding in this area has grown sharply over the past year or so.

So far in the first quarter of 2017, a total of 34 artificial intelligence startups were acquired , which is more than double the amount of activity in the first half of 2016, according to the research firm CB Insights.

AI VentureTech made note in their newsletter that Chinas plan to focus investments into artificial intelligence up to the year 2030 not only confirms the bullish outlook for AI and automation in the coming years, but also should set off alarm bells in the US and other Western nations to get ahead of the expected rise of AI technology so they can secure their leadership position is this emerging industry.

AI VentureTech recently launched a financial advisory division to assist start-ups in the area of artificial intelligence and automation in accessing capital markets, and providing IT staffing for tech companies seeking to broaden their AI and automation operations.

The financial advisory firm will assist companies in the areas of business analytics, data mining, machine learning, artificial intelligence, visualization tools, predictive modeling, and cloud advanced analysis to assist them with accessing investment capital, and guiding them through the expected goal of listing them on a US exchange.

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AI VentureTech is a technology accelerator and financial advisory firm focused on start-ups in the areas of business analytics, data mining, machine learning, artificial intelligence, visualization tools, predictive modeling, and cloud advanced analysis. AI VentureTech is a network of funds, family offices, and financial institutions dedicated to supporting projects within this emerging technology sector. http://www.aiventuretech.com

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China to Invest Big in Artificial Intelligence and Automation - Wall Street Newscast

Robocalpyse now? Central bankers argue whether automation will kill jobs – The Seattle Times

The bankers are not yet ready to buy into dystopian visions in which robots render humans superfluous. But they are seriously discussing the risk that artificial intelligence could eliminate jobs on a scale that would dwarf previous waves of technological change.

SINTRA, Portugal The rise of robots has long been a topic for sci-fi best-sellers and video games and, as of last week, a threat officially taken seriously by central bankers.

The bankers are not yet ready to buy into dystopian visions in which robots render humans superfluous. But, at an exclusive gathering at a golf resort near Lisbon, the big minds of monetary policy were seriously discussing the risk that artificial intelligence could eliminate jobs on a scale that would dwarf previous waves of technological change.

There is no question we are in an era of people asking, Is the Robocalpyse upon us? David Autor, a professor of economics at the Massachusetts Institute of Technology, told an audience Tuesday that included Mario Draghi, the president of the European Central Bank, James Bullard, president of the Federal Reserve Bank of St. Louis, and dozens of other top central bankers and economists.

The discussion occurred as economists were more optimistic than they had been for a decade about growth. Draghi used the occasion to signal that the European Central Bank is edging closer to the day when it will begin paring measures intended to keep interest rates very low and bolster the economy.

All the signs now point to a strengthening and broadening recovery in the euro area, Draghi said. His comments pushed the euro to almost its highest level in a year, though it later gave up some of the gains.

But along with the optimism is a fear that the economic expansion might bypass large swaths of the population, in part because a growing number of jobs could be replaced by computers capable of learning artificial intelligence.

Policymakers and economists conceded that they have not paid enough attention to how much technology has hurt the earning power of some segments of society, or planned to address the concerns of those who have lost out. That has, in part, nourished the political populism that contributed to Britains vote a year ago to leave the European Union, and the election of President Donald Trump.

Generally speaking, economic growth is a good thing, Ben Bernanke, a former chairman of the Federal Reserve, said at the forum. But, as recent political developments have brought home, growth is not always enough.

In the past, technical advances caused temporary disruptions but ultimately improved living standards, creating new categories of employment along the way. Farm machinery displaced farmworkers but eventually they found better paying jobs, and today their great-grandchildren may design video games.

But artificial intelligence threatens broad categories of jobs previously seen as safe from automation, such as legal assistants, corporate auditors and investment managers. Large groups of people could become obsolete, suffering the same fate as plow horses after the invention of the tractor.

More and more, we are seeing economists saying, This time could be different, said Autor, who presented a paper on the subject that he wrote with Anna Salomons, an associate professor at the Utrecht University School of Economics in the Netherlands.

Central bankers have begun examining the effect of technology on employment because it might help solve several economic quandaries.

Why is workers share of total earnings declining, even though unemployment is at record lows and corporate profits at record highs? Why is productivity the amount that a given worker produces stuck in neutral?

The mere fact that we are organizing this conference here in Sintra testifies to our interest in that discussion, Benot Coeur, a member of the European Central Banks executive board, said in an interview, referring to the Robocalpyse debate.

Of particular interest to the European Central Bank is why faster economic growth has not caused wages and prices to rise. The central bank has pulled out all the stops to stimulate the eurozone economy, cutting interest rates to zero and even below, while printing money. Four years of growth have led to the creation of 6.4 million jobs. Yet inflation remains well below the banks official target of below, but close to, 2 percent.

One explanation is that more work is being done by advanced computers, with the rewards flowing to the narrow elite that owns them.

Still, among the economists in Sintra there was plenty of skepticism about whether the Robocalpyse is nigh.

Since the beginning of the industrial age, almost every major technological innovation has led to dire predictions that humans were being permanently replaced by machines.

While some kinds of jobs were lost forever, greater efficiency led to more affordable goods and other industries soaked up the excess workers. Few people alive today would want to return to the late 1800s, when 40 percent of Americans worked on farms.

Robocalpyse advocates underestimate the power of scientific advances to beget more scientific advances, said Joel Mokyr, a professor at Northwestern University who studies the history of economics.

Think about what computers are doing to our ability to discover science, Mokyr said during a panel discussion, citing computers that can solve equations that have baffled mathematicians for decades. There may be breakthroughs that we cant even begin to imagine.

There are other explanations for stagnant wages besides technology.

Companies in Japan, the United States and Europe are sitting on hoards of cash, doling out the money to shareholders rather than investing in new buildings, equipment or innovative products. Just why is another topic of debate.

Hal Varian, the chief economist at Google whose self-driving technology may someday make taxi drivers unnecessary said that the plunging cost of information technology has virtually eliminated the fixed cost of entering a business. Companies can rent software and computing power over the internet.

And flat wages reflect the large number of women who have entered the workforce in recent decades as well as the post-World War II baby boom, Varian said, adding that those trends have run their course. We are going to see a higher share going to labor, he said.

Yet already, disruptions caused by technology help account for rampant pessimism among working-class and middle-class people across the developed world.

Bernanke referred to polls showing that about twice as many Americans say the United States is on the wrong track than say the country is moving in the right direction.

As a result, last November Americans elected as president a candidate with a dystopian view of the economy, Bernanke said.

Autor concluded that it was too early to say that robots are coming for peoples jobs. But it could still happen in the future.

I say not Robocalpyse now, Autor said, perhaps Robocalpyse later.

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Robocalpyse now? Central bankers argue whether automation will kill jobs - The Seattle Times

Algorithmic trading ushers in new era of market automation – Raconteur

We are still in the tail of the third industrial or digital revolution where investment in digitalisation could drive significant productivity gains, noted analysts from investment bank Morgan Stanley in a September 2016 report entitled Disruptions and productivity growth in the next decade of the digital revolution.

The digital revolution represents the move towards data-driven business. The computerisation of business is continually generating vast quantities of data. That information is fuelling the use of automated decision-making systems withinfinance.

I am very optimistic about where we are going, says John Lowrey, global head of electronic markets in equities at Citi, the banking giant. Training artificial intelligence systems requires large datasets. Those who have the most data are the most able to adapt to the new environment and of course the banks and investment banks have reams of data. By 2020 we will really see radical change in the environment.

That change is very apparent in capital markets. While many people still think of traders as brightly jacketed men shouting in a trading pit, and a few think of men and women staring at screens while shouting into telephones, very few people picture a computer server clicking away, making millions of decisions.

This move towards automated trading, which began in the late-1990s and early-2000s, across the banking and asset management environment was driven by two factors. Firstly, traders cost a lot of money and are fallible, and so reducing their number reduced costs. Secondly, many of their simpler tasks were time consuming and ate into their ability to tackle complicated problems.

However, the first stages of automation were rule-based decision-making systems, algorithms that took an input and triggered an automated response. Any change in market circumstances required a platform to have its parameters altered.

Now smarter systems are being developed, capable of learning, which can be trained across datasets and then adapt to changes in circumstance. These can be applied to a considerable range of processes by innovative financial servicesfirms.

Joseph Pinto, global chief operating officer at AXA Investment Managers, says: We are looking at automation on three levels. Firstly, how can we use big data and eventually artificial intelligence to provide new signals for our portfolio managers? Secondly, we are using machine-learning processes or automation to process a lot of data on customers, for example movement of inflows, outflows and trying to anticipate customer behaviour. The third layer is more traditional, sitting down with our providers and ensuring they can automate their process to lowerfees.

These automated trading systems are not only getting smarter, but as wider datasets become available, machine-learning systems can be used to understand a wide variety of inputs. The inclusion of internet-enabled sensors within devices ranging from cars to shipping containers to toasters is creating the internet of things, a vision of the physical world represented indata.

At the same time, the increased surveillance of every aspect of life, and the capacity of machines to search images and text as well as tables of figures, just as search engines do across the internet, creates the potential for running searches just as powerful across financially sensitive information.

Bartt Charles Kellerman, chief executive of hedge fund consulting firm Global Capital Acquisition, says: In the past there was a guy with a counting device standing outside a concrete manufacturer, or outside a housing project, counting the number of trucks going in and out. Thats grown by leaps and bounds, so everything that moves is going to be monitored and fed into some centralised cloud, which is then going to be examined and cross-examined as a reflection of whether or not that data is going to impact a potential marketmove.

These technologies are already much in evidence outside of the financial services environment. From search engines to shopping assistants they are becoming increasingly prevalent. However, applying these to the management of money requires a considerable level of trust. Even smart automation requires oversight and risk management. Nor can there be a lack of transparency as regulators and investors both require insight into the decision-making process.

These are complex ideas when you use automation just for the investment process, or deep-learning or machine-learning, says Mr Pinto. And you need a simple way to explain it to your customers; you cannot sell it as a black box for sure. Thats the big challenge. So we are investing time and effort in creating transparency for users and clients, including creating tools like data visualisation. We find it really makes a big difference. The past is littered with opaque technologies that, when difficult to diagnose, were quickly abandoned byclients.

Nex Group, formerly ICAP, has been looking at automation to further the post-trade and back-office services it provides to clients via NEX Optimisation division.

A lot of automation we are providing is to make things more efficient for our clients, says Chuck Ocheret, chief innovation officer at NEX Optimisation. Thats been our mainpurpose.

Ironically, the most interesting automation can sometimes involve the more day-to-day tasks. The development of computer code, particularly the testing process, can be automated. When the firm takes on data from its customers, NEX Optimisation can automate the mapping out of defined fields, to assess where they belong in its own dataset. Although lots of data formats are standardised, firms still manage to create unique interpretations of these standards.

Mr Ocheret says: If you can automate those processes, learn from training sets how data is sent in and some of the weird variations that occur, then you can automate a lot of that stuff with relatively straightforward machine-learning.

Where clients are sending data for a single specific service, automation can allow that data to be reused for multiple purposes. A client may provide all their trade data to generate reports to the relevant regulators. Through the use of smart automation this could be used to run an evaluation or a reconciliation. The broader the datasets, the more insight you can offer to the clients, Mr Ocheretsays.

This is reducing the need to throw people at a task, but is also creating situations in which people would not be able to perform due to the sheer volume ofdata.

David Thompson, chief operating officer at NEX Optimisation, says: A fear around this kind of automation is that its going to get rid of jobs or positions, but actually there is a huge amount of additional opportunity, which is going to be provided by ensuring resources are focused where they add the mostvalue.

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Algorithmic trading ushers in new era of market automation - Raconteur

Apple Patent filing in Australia Delves into all Aspects of Siri in Relation to Home Automation – Patently Apple

In December 2015 Patently Apple posted a report titled "Apple Invents Siri for Home Automation." Today Patently Apple has discovered an Apple patent in Europe that was filed in Australia June 22, 2017 titled "Intelligent automated assistant in a home environment." While the two patents cover the same title, they in fact cover different graphics and more. The Australian patent filing is noted to incorporate five Apple patents relating to home automation in context with an intelligent automated assistant that were filed between 2014 and 2016.

Apple describes how complex creating a home automation system is without a Siri-like assistant. Apple notes, "for example, a typical home can include 40-50 light bulbs placed throughout the various rooms of the home. Using conventional software applications, each light bulb is given a unique identifier, and a user attempting to control one of these devices must select the appropriate identifier from a list of available devices within a graphical user interface.

Remembering the correct identifier for a particular light bulb and finding that identifier from a list of 40-50 identifiers can be a difficult and time-consuming process. For example, the user can confuse the identifier of one device with that of another and thus be unable to control the desired device. To add to the difficulty of managing and controlling a large number of remotely controlled devices, different manufactures typically provide different software applications that must be used to control their respective devices. As a result, a user must locate and open one software application to turn on/off their light bulbs, and must then locate and open another software application to set the temperature of their thermostat.

Apple's invention covers systems and processes for operating an intelligent automated assistant in relation to home automation.

The filing is long and detailed and at times interesting to see the complexities behind creating a home automation system from Siri having to understanding a number of commands in relation to the home. For instance, telling Siri to open a door when you're in front of it or sitting in the living room, Siri has to figure out what door the user is referring to. That might be dealt with by using GPS or other means.

In another example, Apple notes that "A digital assistant can also process user commands for performing a future action in response to a specified condition. The action or the condition is with respect to one or more devices in an established location. For example, the user provides the natural language command "Close the blinds when it reaches 80 degrees."

In this example, the digital assistant determines that the user wishes to perform the action of closing the blinds in response to the condition of detecting a temperature equal to or greater than 80 degrees. In particular, the digital assistant would need to determine which "blinds" the user wishes to close and which thermometer the user wishes to monitor with respect to the "80 degrees" criterion. Below in patent FIG. 9, we see the layout of an example home.

In Apple's patent FIG. 9 above we're able to see is a hierarchical chart illustrating exemplary data structure #900 that represents a set of devices of an established location. As shown, the data structure includes a plurality of nodes 902-950 organized in a hierarchical structure across levels #960-968. The organization of nodes #902-950 defines how the various devices (e.g., garage door, back door, central thermostat, space heater, and son's lamp) of the established location relate to the various regions (e.g., floor 1, floor 2, garage, living room, mater bedroom, and son's bedroom) of the established location.

Specifically, the nodes of levels #960-964 define how the various regions of the established location are organized. The root node of level #960 represents the established location (e.g., John's house) and the nodes of level #962 represent the major regions (e.g., floor 1 and floor 2) of the established location. The nodes of level #964 represent the sub-regions within each of the major regions. In the present example, the sub-regions include the separate rooms or living areas (garage, living room, master bedroom, and son's bedroom) in John's house.

Controlling a thermostat or space heater is described in-part in Apple's patent FIG. 10A wherein the user tells Siri to "Set the thermostat to sixty percent." In this example, the term "set" is determined to correspond to a first set of possible device characteristics #1004 that includes "temperature," "humidity," "brightness," "volume," and "speed." The term "thermostat" is determined to correspond to a second set of possible device characteristics #1006 that include "temperature" and "humidity." The term "sixty" is determined to correspond to a third set of possible device characteristics #1008 that include "temperature," "humidity," and "brightness." The term "percent" is determined to correspond to a fourth set of possible device characteristics #1010 that include "brightness" and "humidity."

In another example dealing with lighting in the home, Apple notes that "In some examples, the criterion is associated with the device characteristic of "brightness" for a brightness sensor (e.g., light sensor, photodiode) of the established location.

In particular, the discourse input is "Turn on the living room lights once it gets dark," "Close the blinds if there's direct sunlight," or "Bring down the shades half way when it gets too bright." In these examples, corresponding quantitative values for the ambiguous criteria "dark," "direct sunlight," or "too bright" are determined. For example, "dark" is determined to correspond to the criterion of detecting a brightness of less than a predetermined value (e.g., 0.2 lux) at a brightness sensor of the established location. Similarly, "direct sunlight" or "too bright" corresponds to the criterion of detecting a brightness of greater than a second predetermined value (e.g., 25000 lux).

Apple's patent covers many examples covering air quality, authentication, how to control the times your children can watch TV, when to turn lights on or off, how to control your Christmas lights, sprinklers and much more.

The majority of the patents rolled into this current filing were filed in 2016, two years after Apple introduced HomeKit at WWDC 2014.

(Click on Image to Enlarge)

Patently Apple presents a detailed summary of patent applications with associated graphics for journalistic news purposes as each such patent application is revealed by the U.S. Patent & Trade Office. Readers are cautioned that the full text of any patent application should be read in its entirety for full and accurate details. About Making Comments on our Site: Patently Apple reserves the right to post, dismiss or edit any comments. Those using abusive language or negative behavior will result in being blacklisted on Disqus.

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Apple Patent filing in Australia Delves into all Aspects of Siri in Relation to Home Automation - Patently Apple

Automation: How Humans Can Coexist With Robots at Work … – Fortune

Are robots going to take our jobs? Will artificial intelligence make it even easier? How will automation really affect the global workforce and economy?

As these technologies have developed with increasing speed, it's not unnaturalno pun intendedto wonder about their impact on the lives of regular people (not to mention the companies they work for). Will automation free our time for leisurely pursuits? Or will we get even busier? And if we're so good at creating technology that does the work for us, will society create new support mechanisms to address that reality?

To learn more, Fortune asked six humansthree executives, a researcher, an economist, and a futuristhow automation will impact society. Here's what they said.

This is a sophisticated problem, and it demands a call to intellectual arms to not assume that its a binary situation. Its not just that jobs will be lost and that robots are taking over. Its much more sophisticated than that. Amy Webb, founder, Future Today Institute

How do we create a mentality of agility and continuous learning? Thats the challenge I see with a lot of this. Its very easy when youre 22 to make a career change. Its much harder in the middle of your career. The cost of transitioning is very high. Bret Taylor , CEO, Quip, a Salesforce-owned company

We need to keep relationship skills. I went to an automated, self-serve restaurant the other day, and I felt so empty when I left. Contrast that with my coffee shop. We are hard-wired for relationshipsyou want the smile, the connection. Leighanne Levensaler, SVP of corporate strategy, Workday

Most of us dont have the reflective time that allows us to be innovative and creative. So weve actually destroyed our capacity to go beyond computers. But computers are always going to be more efficient than us. For us to be better than technology, we have to find our inner human. Lynda Gratton, professor, London Business School

Theres a huge need to increase productivity around the world, the U.S. included, simply because of aging. Half of our economic growth has come from more people working: women in the workforce, growing population. That source is about to disappear. So we badly need to increase the economic output. One way to do that is to have the robots, the A.I., do the work. It has the potential to increase our productivity. And not only do we need robots working, but people too. So we need to make sure theres enough work for them to do. Michael Chui, partner, McKinsey Global Institute

Theres this assumption that its going to be people or robots, all or nothing. My experience is that it doesnt operate that way. Its automating part of the job, but not the full job. Repetitive, manual workno one whos doing it is really enjoying it. Technology replaces and creates. It replaces manual work and creates new opportunitiesnew tasks, if you will. And productivity creates growth, which creates new kinds of work. It is a virtuous cycle. Its so easy to talk about it in binary terms. I just dont think thats the reality. John Donahoe, CEO, ServiceNow

A version of this article appears in the July 1, 2017 issue of Fortune with the headline "Ready for the Robots?".

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Automation: How Humans Can Coexist With Robots at Work ... - Fortune

Robots stealing human jobs isn’t the problem. This is. – USA TODAY

A new report from Paysa suggests automation jobs will put 10,000 people to work, and big companies will spend $650 million on annual salaries to make it happen. Sean Dowling (@seandowlingtv) has more. Buzz60

Chiquola Manufacturing Co. employees work with Whitin roving frames in Honea Path, S.C.(Photo: Gannett)

A 15-hour work week. That's what influential economist John Maynard Keynes prophesied in hisfamous 1930 essay"Economic Possibilities for Our Grandchildren,"forecasting that in the next century technology would make us so productive we wouldn't know what to do with all our free time.

This is not the future Keynes imagined.

Many higher income workers put in 50 or more hoursper week, according to an NPR/Harvard/Robert Wood Johnson Foundation poll. Meanwhile, lower-income workers are fighting to get enough hours to pay the bills, as shown in a University of Washington report on Seattle's $15 minimum wage publicized this week.

Yet some of today's best minds are making Keynes-like predictions. This month, Apple co-founder Steve Wozniak said robots will one day replace us but we needn'tworry for a fewhundred years.

In May, Facebook CEO Mark Zuckerberg told Harvard's 2017 class that increased automation would strip us not only of our jobs but also of our sense of purpose.

Mark Zuckerberg told graduating students at Harvard, the university he dropped out of to create Facebook, to create a purpose for today's world. (May 25) AP

Automation. Artificial intelligence. Machine learning. Many experts disagree on what these new technologies will mean for the workforce, the economy and our quality of life. But where they do agree is that technology will change (or completely take over) tasks that humans do now. The most pressing question, many economists and labor historians say,is whether people will have the skills to perform the jobs that are left.

"We are moving into an era of extensive automation and a period in which capitalism is just simply not going to needas many workers,"said Jennifer Klein,a Yale University professor who focuses on labor history. "It's not just automating in manufacturing but anything with a service counter:grocery stores, movie theaters, car rentals ... and this is now going to move into food service, too.

"What are we going to do in an era that doesn't need as many people? It's not a social question we've seriously addressed."

Instead of worrying about the mass unemployment a robot Armageddon could bring, we should instead shift our attention to making sure workers particularly low-wage workers have the skills they need to compete in an automated era, saysJames Bessen, an economist, Boston University law lecturer, and author of the book Learning by Doing: The Real Connection Between Innovation, Wages, and Wealth.

"The problem is people are losing jobs and we're not doing a good job of getting them the skills and knowledge they need to work for the new jobs," Bessen said.

Addressing this skills gap will require a paradigm shift both in the way we approach job training and in the way we approach education, he said.

"Technology is very disruptive. It is destroying jobs. And while it iscreating others, because wedont have an easy way to transition people from one occupation to another, were going to face increased social disruption," he said.

In this new age, Bessen said, we can't treat learning as finite.

"We need to move to a world where there is lifelong learning," he said. "You have to get rid of this idea that we go to school once when were young and that covers us for our career. ... Schools need to teach people how to learn, how to teach themselves if necessary."

A universal basic income (UBI) has been proposed as one possible solution to the loss of jobs caused by automation. A UBIwould give everyone a fixed amount of money, regularly, no matter what. Proponents say not only would it help eradicate poverty, butit would be especially useful forpeople whose jobs are eliminated by automation, giving them the flexibility to learn new skills required in a new job or industry, without having to worry about howthey'd eat or pay rent.

Some also suggest it would breed innovation. In his Harvard speech, Zuckerberg told the audience:"We should have a society that measures progress not just by economic metrics like GDP, but by how many of us have a role we find meaningful. We should explore ideas likeuniversal basic incometo give everyone a cushion to try new things."

Several countries are exploring or experimenting with a UBI, including Kenya, Finland, the Netherlands and Canada.

Americans have been worrying about automation wiping out jobs for centuries, and in some occupations, automation has drasticallyreduced the need for human labor.

But the relationship between automation and employment is complex. When automation replaces human labor, it can also reduce cost and improve quality, which, in turn,increases demand.

Marlin Steel in Baltimore, Maryland, was able to stay in business by automating its processes to stay competitive when many other manufacturing jobs went overseas. Video by Jasper Colt, USA TODAY

Such was the case in textiles. In the early 19th century, 98% of the work of a weaver became automated, but the number of textile workers actually grew.

"At the beginning of the 19th century, it was so expensive that ... atypical person had one set of clothing," Bessen said. "As the price started dropping because of automation, people started buying more and more, so that by the 1920s the average person wasconsuming 10 times as much cloth per capitaper year."

More demand for cloth meant a greater needfor textile workers. But that demand, eventually, was satisfied.

When ATMs were introduced in the 1970s, people thought they would be a death knell for bank tellers. The number of tellers per bank did fall, but because ATMs reduced the cost of operating a bank branch, more branches opened, which in turn hired more tellers.U.S. bank teller employment rose by 50,000 between 1980 and 2010.But the tasks of those tellers evolved from simply dispensing cash to selling other things the banks provided, like credit cards and loans. And the skills those tellers had that the ATMs didn't like problem solving became more valuable.

Whencomputers take over some human tasks within an occupation, Bessen's research showsthose occupations grow faster, not slower.

"AI is coming in and its going to make accountants that much better, its going to make financial advisers that much better, its going to make health care providers that much more effective, so were going to be using more of their services at least for the next 10 or 20 years," Bessen said.

These examples, though, are of occupations where automation replaces some part of human labor. What about when automation completely replaces the humans in an entire occupation? So far, that's been pretty rare.Ina 2016 paper, Bessen looked at271 detailed occupations used in the 1950 Census and found that while many occupations no longer exist, in only one case was the demise of an occupation attributed mostly to automation: the elevator operator.

A 2017 report from the McKinsey Global Institute found that less than 5% of occupations can be completely automated.

History has taught us a lot about how automation disrupts industries, though economists admit they can't account for the infinite ways technology may unsettle work in the future.

When a new era ofautomation does usher in major economic and social disruption which Bessen doesn't predict will happen for at least another 30 to 50 years it's humans that will ultimately decide the ways in which robots get to change the world.

"It's not a threat as much as an opportunity," he said. "Its how we take advantage of it as individuals and a society that will determine the outcome."

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Robots stealing human jobs isn't the problem. This is. - USA TODAY

Women, Minorities Are More Likely To Lose Jobs To Automation – KNPR

The next wave of job automation has landed in Las Vegas.

A bar staffed by robots, called The Tipsy Robot, will open Friday on the Strip and the trend is likely here to stay. (Ed. Note:The bar is also staffed by people. The robots are are an entertainment attraction, but robot bartenders could become more common in the future.)

Of all American cities, Las Vegas is most susceptible to automation due to its high number of service industry job, and a new study from the University of Redlands says that women, minorities, and teenagers hold jobs that are most likely to be automated.

Johannes Moenius is a professor at the University of Redlands who helped conduct the survey. He was quick to point to the reason for that.

If you look at the jobs that are most susceptible to automation ... there'sa lot more women working in those jobs than men," he said.

Moenius pointed to the grocery store clerk as an example of a job that is slowly being taken over by self-serve kiosks and bank teller positions are almost entirely taken by ATMs.

It is not just about the job, Moenius said, it is really about how much education a person has.

People who have no high school degree, no high school diploma, have an almost a 75 percent chance of being automated away, he said.

Moenius said the higher the degree a person obtains the lower the chances that his or her jobwill be replaced by automation. In the survey, Asians fared much better at having a job that wasn't going to be replaced by a robot, he said. He credited that to the fact that Asians are more likely to have at least a bachelor degree.

The more education you have the higher insurance you have, he said.

Many people have decried the high cost of a college degree, which is why a technical degree is often suggested as an alternative to a bachelor degree. Moenius agrees that a technical degree has its merits he believes it only goes so far.

It is definitely true that if you get a technical degree and you continue to get an education on the side then you will get work less and less repetitive type tasks that make you less likely, less susceptible to getting a job automated away," he said."However, its the creative, problem-solving part that allows people to avoid the risk of automation.

One of the trickiest parts of the equation is young people. The study found that teenagers are also more likely to have their jobs automated away. However, many don't have the job experience to get a highly skilled job. Moenius also said young people who haven't gone to college should look to go to college. His concern is the people who didn't make that choice.

If youre dropping out of high school at age 16, you start working, you get some expertise, you become even a schooled artisan in your job, the probability that you wont have a job 10 years or 20 years down the road is very, very, very high, he said.

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Women, Minorities Are More Likely To Lose Jobs To Automation - KNPR

Automation benefits outweigh losses, says Genpact CEO – Economic Times

BENGALURU: Genpact does not believe in balancing out the im pact of au tomation on its top line as the bene fits far outweigh the losses, the CEO of the business pro cess management (BPM) company told ET.

BPM companies are typically considered to be the first in line to be hit by automation, as a more people-intensive business is replaced by software robots and platforms. "You shouldn't try to balance it out. Clients are looking to us to help them transform themselves and if in that process revenue reduces, then it is all right. We are such an under-penetrated company that the opportunity is very large," NV 'Tiger' Tyagarajan, told ET.

"In some global clients, we are actually growing at about 19% but when we give back the gains from automation, we grow at about 13%." Genpact has launched a new plat form that combines analytics, automation and artificial intelligence.

The platform, called Genpact Cora, is built using the company's original process and industry domain knowledge with new digital capabilities from its acquisitions of Rage Frameworks, PNMsoft, and others.

"We believe this is a unique industry platform that combines automation, analytic engines and artificial intelligence. It is modular and includes governance around the implementation," Tyagarajan said.

The platform can be sold with a number of ways of pricing, including transaction-based and outcome-based pricing. There will also be a component of licensing fees as part of the contracts, Tyagarajan said.

Genpact has acquired artificial intelligence services provider Rage Frameworks and insurance service company Brightclaim in the last six months. Genpact has raised its guidance for 2017, helped by its acquisitions. It expects revenue of $2.63-2.70 billion in 2016.

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Automation benefits outweigh losses, says Genpact CEO - Economic Times

UK workers optimistic about automation – BetaNews

Every second office worker in the UK (48 percent) is optimistic about what automation technologies will do to their workplace in the future. The only problems are thatits expensive and infrastructure is lacking.

This is according to a new report byCapgemini, based on a poll of more than 1,000 UK office workers.

Four in ten (40 percent) believe machine learning will have a positive impact, while 32 percent said the same for robotics. Only 10 percent said automation might have a negative impact.

Almost half (47 percent) have seriously thought about how automation can support their departments on a daily basis. When it comes to finances, the percentage jumps to 85. Business owners and directors think as much as 40 percent of business tasks could be automated before 2020. That includes invoicing, managing expense claims and admin tasks.

Office workers, however, arent afraid of losing their jobs. They see automation as a way to free up time, so that they could do tasks of higher value.

"Its really heartening to see the optimism for automation technologies among the UKs office workers --particularly when nearly half have given serious thought to implementation in their own workplace," said Lee Beardmore, vice president and chief technology officer of Capgeminis Business Services Unit.

"At present our survey estimates that around 13percent of businesses in the UK are benefiting from automation, but theres still a lot that havent seen anything yet. We certainly expect this figure to rise in the near future as more and more businesses realize the transformational power of technologies such as AI, robotics and automation. All of these technologies represent an opportunity for growth for businesses in every industry sector."

Published under license from ITProPortal.com, a Future plc Publication. All rights reserved.

Photo Credit: Wright Studio/Shutterstock

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UK workers optimistic about automation - BetaNews

Perfect storm of cutting-edge automation is imminent – Independent Online

To accelerate growth across the continent, Rockwell acquired Hiprom in 2011. Hiprom, a Johannesburg-based corporation, is a leading process control and automation systems integrator specialising in mining and mineral processing.

When Rockwell acquired Hiprom, a company spokesperson revealed that the acquisition was a strategic play to strengthen their global project management and delivery capabilities in the mining, metals and minerals industries.

According to John Lewis, Rockwells current director of business partnering, Hiprom - which is still run out of South Africa - is now the groups global mining competency centre of excellence.

In a recent podcast conversation I had with Lewis, he shared how Rockwell is adapting to changing times by hiring software developers and tech-savvy business specialists who can speak to the myriad of optimisation challenges faced by their clients all over the world.

When asked what percentage of Rockwells output, in terms of the solutions they deliver to clients, is hardware versus consulting services and software, Lewis stated that the ratio is roughly 70percent hardware, 20percent engineering services and 10percent software.

He hastened to add that the mix is changing rapidly, moving away from hardware and growing towards solutions and software because of to the broad global trend towards digital transformation.

When Lewis first joined Rockwell in 1979, the company was almost 100percent a hardware business and their service proposition to factory owners was Buy our stuff, and well come out and replace anything that breaks.

Over time, that concept grew to include: Enlist us to help you engineer solutions.

Lewis admits their clients had a hard time adjusting to being charged for consulting services, but apparently soon enough realised the benefits of having a competent technical partner on call to keep machine downtime to a minimum.

As computing played a more significant role in how leading industrialists hacked operational efficiency issues, software development and deployment became more and more important.

Today, Rockwell is expeditiously researching and testing various software applications and service delivery models which often involve the deployment of artificial intelligence (AI), machine learning and the Internet of Things (IoT).

When asked how he responds to pro-labour critics who assert that companies like Rockwell undermine livelihoods by helping industrialists harness automation to completely eliminate the need for human participation in factory processes, Lewis stated that he is yet to encounter a lights out, no humans involved industrial operation.

He reckoned that it is largely unsafe and onerous tasks, as well as repetitive jobs which are difficult for humans to do consistently, that are being automated.

UNIQUE SKILLS

Lewis insisted that while all such work is being taken over by machines, many other jobs are being created requiring different and more unique skills.

He did, however, admit that such jobs are not necessarily created at a rate of one for one, referencing the growing need for individuals possessing higher tech competencies to install, programme and maintain cutting-edge industrial equipment, as well as write and integrate software.

Babusi Nyoni is a Zimbabwean senior user experience (UX) designer at Thomson Reuters and is based in Cape Town.

Nyoni happens to be low-key, but one of the continents leading AI and machine learning practitioners.

In October 2016, he gave a TEDx talk on how predictive modelling and historic data could be used to anticipate Africas next refugee crisis.

Shortly afterwards, the UN Refugee Agency (UNHCR) in Geneva reached out to rope him in as a consultant.

Since then, he has helped the UNHCR build a prototype that uses conflict and food security data to predict the magnitude of displacement in one of the worlds war-torn nations.

A production version of the tool is already in the works, and once it is ready, the UNCHR plans to make it fully accessible for use by governments, civic organisations, corporations, and individuals looking to pre-empt impending humanitarian crises.

I have come to value Nyonis views on how advances in robotics and automated software are likely to change everyday life, not least because we share a fairly idealistic world view.

During a recent interview, Nyoni told me that despite spending a great deal of time working on retail AI applications, he is most excited about the future of AI in biotech.

He cited how the beginning of 2017 saw the approval of the first US Food and Drug Administration-approved application of machine learning and deep learning for diagnosing heart conditions. (Yes, there is a difference between machine learning and deep learning, but I will not be diving into that.)

Not only is Nyoni excited by innovations such as the current use of AI-led computer vision to help visually impaired people perceive the world around them, but he is especially enlivened by the prospect of fast-learning software being deployed in ailing bodies.

As the likes of Rockwell continue to promote the trend towards mechanised automation across the worlds leading industries, the potential use cases for IoT will undoubtedly multiply.

As that happens, we should expect a spike in the demand for AI and machine learning applications that will be used to make sense of the vast amounts of data that connected devices collect.

Ultimately, our need to perform accurate big data analysis needs to keep up with such advances if mankind is to benefit from IoT deployment. Nyoni reckons that if we fail at this, the consequences could be cataclysmic - picture hundreds of thousands of pacemakers malfunctioning, factories melting down and hundred-car pileups.

What Nyoni and I most decidedly do not have in common is his Elon Musk-esque view that humanity is speedily edging towards a singularity with the machine. He would point to the way social media footprints are becoming an extension of peoples existence as opposed to an alternate plane, as might have been the case initially.

OUTSOURCED

Nyoni believes that because many of us have outsourced decision-making power to AIs such as Googles to inform how we navigate our daily lives, ie interact with fellow humans, relate to our physical environment, and plan for the future, we might be opening ourselves up to catastrophic events should the AIs weve allowed to run our lives be compromised.

On one hand, I totally discard the very notion of singularity.

On the other, I take John Lewis assertion that industrial automation wont compromise livelihoods with a massive pinch of salt, particularly within the context of the developing world.

The livelihoods debate aside, I do think that there are far more complex issues we would all do well to stay awake to as business interests look to embrace robotics and exploit software automation.

I believe that as cutting-edge automation technologies converge, the perfect storm is imminent. And before it hits, we ought to decide what kind of human beings we want to be.

Shall we passively allow new age industrialists free rein to pursue any profit-driven automation projects they wish, or should we lobby for the complete democratisation of historic data currently held by proprietary entities and insist that any innovations launched in the automation space be judged solely on the basis of tangible public benefits such as improvements in healthcare delivery and food production?

Andile Masuku is a broadcaster and entrepreneur based in Johannesburg. He is the executive producer at AfricanTechRoundup.com. Follow him on Twitter @MasukuAndile and The African Tech Round-up @africanroundup

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Perfect storm of cutting-edge automation is imminent - Independent Online

White House considers effects of automation "a policy challenge" – Axios

Hawaii is asking a federal judge to rule that President Trump's move to re-introduce parts of his travel ban is at odds with a Supreme Court ruling earlier this week. From the court filing:

"The Government does not have discretion to ignore the Court's injunction as it sees fit. The State of Hawaii is entitled to the enforcement of the injunction that it has successfully defended."

The issue: The ruling stated that citizens of the countries subject to the ban who have "bonafide" relationships with people in the U.S. could not be barred. The Trump administration's interpretation of that ruling excludes grandparents, aunts, uncles, nieces, nephews, in-laws, and other extended family members.

The travel ban protocol went into effect at 8pm ET. More on who Trump's protocols would affect, here.

Update: The State Department website says fiancs now counts as close relationships, per Reuters.

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White House considers effects of automation "a policy challenge" - Axios

Robocalypse Now? Central Bankers Argue Whether Automation Will Kill Jobs – New York Times

All the signs now point to a strengthening and broadening recovery in the euro area, Mr. Draghi said. His comments pushed the euro to almost its highest level in a year, though it later gave up some of the gains.

But along with the optimism is a fear that the economic expansion might bypass large swaths of the population, in part because a growing number of jobs could be replaced by computers capable of learning artificial intelligence.

Policy makers and economists conceded that they have not paid enough attention to how much technology has hurt the earning power of some segments of society, or planned to address the concerns of those who have lost out. That has, in part, nourished the political populism that contributed to Britains vote a year ago to leave the European Union, and the election of President Trump.

Generally speaking, economic growth is a good thing, Ben S. Bernanke, former chairman of the Federal Reserve, said at the forum. But, as recent political developments have brought home, growth is not always enough.

In the past, technical advances caused temporary disruptions but ultimately improved living standards, creating new categories of employment along the way. Farm machinery displaced farmworkers but eventually they found better paying jobs, and today their great-grandchildren may design video games.

But artificial intelligence threatens broad categories of jobs previously seen as safe from automation, such as legal assistants, corporate auditors and investment managers. Large groups of people could become obsolete, suffering the same fate as plow horses after the invention of the tractor.

More and more, we are seeing economists saying, This time could be different, said Mr. Autor, who presented a paper on the subject that he wrote with Anna Salomons, an associate professor at the Utrecht University School of Economics in the Netherlands.

Central bankers have begun examining the effect of technology on employment because it might help solve several economic quandaries.

Why is workers share of total earnings declining, even though unemployment is at record lows and corporate profits at record highs? Why is productivity the amount that a given worker produces stuck in neutral?

The mere fact that we are organizing this conference here in Sintra testifies to our interest in that discussion, Benot Cur, a member of the European Central Banks executive board, said in an interview, referring to the Robocalypse debate.

Of particular interest to the European Central Bank is why faster economic growth has not caused wages and prices to rise. The central bank has pulled out all the stops to stimulate the eurozone economy, cutting interest rates to zero and even below, while printing money. Four years of growth have led to the creation of 6.4 million jobs. Yet inflation remains well below the banks official target of below, but close to, 2 percent.

One explanation is that more work is being done by advanced computers, with the rewards flowing to the narrow elite that owns them.

Still, among the economists in Sintra there was plenty of skepticism about whether the Robocalypse is nigh.

Since the beginning of the industrial age, almost every major technological innovation has led to dire predictions that humans were being permanently replaced by machines.

While some kinds of jobs were lost forever, greater efficiency led to more affordable goods and other industries soaked up the excess workers. Few people alive today would want to return to the late 1800s, when 40 percent of Americans worked on farms.

Robocalypse advocates underestimate the power of scientific advances to beget more scientific advances, said Joel Mokyr, a professor at Northwestern University who studies the history of economics.

Think about what computers are doing to our ability to discover science, Professor Mokyr said during a panel discussion, citing computers that can solve equations that have baffled mathematicians for decades. There may be breakthroughs that we cant even begin to imagine.

There are other explanations for stagnant wages besides technology.

Companies in Japan, the United States and Europe are sitting on hoards of cash, doling out the money to shareholders rather than investing in new buildings, equipment or innovative products. Just why is another topic of debate.

Hal Varian, the chief economist at Google whose self-driving technology may someday make taxi drivers unnecessary said that the plunging cost of information technology has virtually eliminated the fixed cost of entering a business. Companies can rent software and computing power over the internet.

And flat wages reflect the large number of women who have entered the work force in recent decades as well as the post World War II baby boom, Mr. Varian said, adding that those trends have run their course. We are going to see a higher share going to labor, he said.

Yet already, disruptions caused by technology help account for rampant pessimism among working-class and middle-class people across the developed world.

Mr. Bernanke referred to polls showing that about twice as many Americans say the United States is on the wrong track than say the country is moving in the right direction.

As a result, last November Americans elected as president a candidate with a dystopian view of the economy, Mr. Bernanke said.

Mr. Autor, co-author of the Robocalypse paper, concluded that it was too early to say that robots are coming for peoples jobs. But it could still happen in the future.

I say not Robocalypse now, Mr. Autor said, perhaps Robocalypse later.

Follow Jack Ewing on Twitter @JackEwingNYT.

A version of this article appears in print on June 29, 2017, on Page B4 of the New York edition with the headline: Robocalypse Now? Bankers Ask, Will Automation Kill Jobs?.

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Robocalypse Now? Central Bankers Argue Whether Automation Will Kill Jobs - New York Times

Zume’s robot pizzeria could be the future of workplace automation … – The Verge

Zume Pizza, a food delivery startup in the San Francisco Bay Area, is expanding to a new location in the heart of Silicon Valley with the help of robotic companions. The company, which starting today will deliver fresh pizzas to Palo Alto and the Stanford area in addition to its hometown of nearby Mountain View, says it has pioneered a robot-assisted technique for pressing pizza dough in a perfect circle in just nine seconds.

That allows the operation to improve efficiency and let its human employees spend time on less tedious work, according to CEO and co-founder Julia Collins. We wanted to identify places where humans were overtaxed physically, bored, or whether the job they were doing was not safe, like sticking their hand into a 600 degree oven for six hours a day, Collins said in an interview with The Verge. Thats why we focused next on this practice of opening the dough.

The new robot, aptly named Doughbot, is now being deployed on Zumes robot-enabled pizza assembly line, where it does the job of pressing dough up to five times faster than even the most seasoned pizza spinning pros.

If this all sounds like an alien and absurd idea robots making pizza does look like overkill, at first glance its helpful to understand the full context of Zume Pizza and its food-delivery ambitions. The company, which first began delivering pizzas last year, was founded on two core concepts: robotic automation and on-route cooking. Robotic automation is easy enough to understand. Zume, which sources machines from industrial robot maker ABB, employs these devices for tasks like dispensing the perfect amount of sauce, spreading that sauce, removing pizzas from ovens, and, now, spreading the dough with just the right thinness and crust-to-pie ratio. The various robots work in unison with humans in an assembly line-style work space attached to the companys Mountain View facility.

Zume is one of a number of automated startups popping up in the Bay Area trying to fuse cooking with technology. For instance, Eatsa which now has a number of locations in California has made headlines in the past for letting you order healthy and low-cost quinoa-based bowls without interacting with a single human. These types of companies combine the on-demand ambitions of startups like DoorDash, Munchery, and Postmates with a kitchen technology twist, all with the aim of avoiding the typically heavy costs associated with food production and logistics. To that end, Zume has hired Susan Alban, who led the launch Ubers food delivery arm UberEats, as its new vice president of operations, Collins announced today.

Zume relies on both robots and on-route cooking to cut costs and speed up deliveries

For Zume, robots are just one aspect of the business. Its really the on-route cooking concept that got Collins and her co-founders excited years ago, when they first began applying for patents and churning through hundreds of thousands of dollars in legal fees to protect their inventions. Folks often go to the robots first, because robots are sexy, Collins says. But the founding idea of Zume was really cooking on route.

You see, Zume Pizza uses up to six specially designed delivery vehicles the size of FedEx trucks. Each one is outfitted with dozens of pizza ovens that can simultaneously reheat hundreds of pizzas, so that each one can be placed fresh and hot into the companys custom pizza box. That way, when someone orders pizza, it arrives in under 20 minutes.

We use predictive technology to make really high-fidelity bets on what pizzas people are going to order, Collins says. Early in the morning we produce a daily inventory of pizzas. We predict the total volume of pizzas and the types of pizzas that we need to satisfy that days demand. That way, Zume doesnt have to cook every pizza from scratch, while still managing to avoid the fast food pitfalls of serving precooked meals.

Zume predicts how many and what kind of pizzas it needs to make each day

The predictive factors at play range from simple stuff like time of day and day of the week to more complex ones like what sporting event or television premiere happens to be airing at the time. When demand gets too high, Zume stops going door to door for deliveries and parks its trucks. It then deploys a fleet of small Fiat vehicles and scooters to ferry the pizzas out in a more efficient manner.

Zumes ultimate goal is to make fresh, locally sourced food at reasonable prices by aggressively rethinking the costs of running a food operation dependent on delivery. Zume pizzas are priced between $10 and $20 for a single pie, and the company uses up to 60 ingredients to offer gluten-free and vegetarian options, as well as artisan-style pizzas with ingredients like arugula pesto, asparagus, and ricotta.

All ordering is done through the companys mobile or website. There is no storefront. So rather than paying 10 percent of sales in rent, we pay 2 percent of sales in rent, Collins says, while robots increase our production volume.

This is what allows Zume to keep costs down without relying on contractors, like so many of the Bay Area-based food delivery startups (and ride-hailing apps). Collins says Zume has around 115 full-time employees, all of which receive benefits like health insurance. As for whether these employees will all be automated away by robots, Collins stresses that the goal is never to fully automate the process of making and delivering food.

Our goal was never to have end-to-end automation. It was never, How can we have a pizza production operation that would have no humans? Collins says. Automation allows Zume employees to shift focus from laborious tasks to more creative ways, she adds. Our best pizza spinner is really happy to work on our menu and ingredient selection.

Our goal was never to have end-to-end automation.

This all sounds like the quintessential utopian dream of automation: a world where robots takeover only the most boring and physically taxing jobs and humans are free to perform creative and fulfilling work. Of course, theres no telling how well Zume will scale when it attempts to tackle a market as dense and complex as, say, San Francisco, which is undeniably the biggest target on the companys radar.

Theres also no telling how sophisticated artificial intelligence and robotics will be in just five years time. Whos to say ingredient selection wont be perfected by an algorithm? Driving Zumes trucks most certainly will be automated by self-driving cars at some point in the future, even if that practice is still decades away on a regulatory timeline.

But Collins is confident that Zume can lay the groundwork for the future of high-quality, tech-infused food delivery that doesnt treat human labor as an enemy. That her company employs only full-time workers, and its leadership so dedicated to keeping those employees from doing tedious tasks, seems like a promising step toward that dream.

We want to make sure everyone has access to high-quality, affordable food, she says of Zumes goal, and to use technology to solve Americans food problem. If that mission involves a robot that can press dough or spread sauce faster and better than a human being, can you really blame Zume for being the first to get out there and use it?

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Zume's robot pizzeria could be the future of workplace automation ... - The Verge

Factory workers need to worry about automation more than techies – Economic Times

NEW DELHI: Automation is emerging as a big threat to jobs. The information technology (IT) sector seems to be the worst-hit by automation. But a survey by TeamLease reveals automation is affecting the manufacturing and engineering sector the most.

Jobs in factories are the most vulnerable to automation than those in the IT companies because it's easiest to automate manufacturing.

The trend of robots replacing workers is no more restricted to countries like Japan. It is accelerating across the globe in the field of manufacturing and production, taking away the livelihood of factory workers.

"Robots are taking over at large number of places. Robots don't want appraisal. They don't want work-life balance. They work 24 hours. In Delhi, metro is going to be automated. Automobile industry which employees 1 in 6 people in the world is going to be automated," said Mohandas Pai, IT industry veteran and Chairman of Manipal Global Education Services.

What is already happening in the US should be a grim reminder for India. The US lost about 5.6 million manufacturing jobs between 2000 and 2010. According to a study done at Ball State University, 85 per cent of these losses are attributable to technological change, mainly automation.

In India too, those who work in factories should worry about automation more than software engineers.

Early signs of jobs distress in factories are becoming visible. Textile major Raymond is planning to cut about 10,000 jobs in its manufacturing centres in the next three years, replacing them with robots and technology. The company employs nearly 30,000 staff in its 16 manufacturing plants in the country, which means it would offload a third of its workers in just three years.

According to Raymond CEO Sanjay Behl, the future could be even harsher. "One robot could replace around 100 workers. While it is happening in China at present, it will also happen in India," Raymond CEO Sanjay Behl told ET last year in September.

After manufacturing & engineering, other sectors affected the most by automation are e-commorce and tech start-ups, media, information technology, banking & financial services, education and BPO & ITeS.

Infrastructure is the least affected by automation. In developing countries, machines and robots are replacing humans in the cosntruction sector but in India the sector has yet to see automation at a level where it threatens to take away a siginificant number of jobs. Yet, it could only be a matter of time.

Fast-moving consumer goods and durables and travel & hospitality-which tend to have fewer process-based jobs which can be handled by machines-are other sectors shielded from the impact of automation.

Most affected by automation 1. Manufacturing & engineering 2. E-commerce & tech startups 3. Media 4. IT 5. BFSI, education 6. BPO & ITeS

Least affected by automation 1. FMCD & G 2. Travel & hospitality 3. Infrastructure

Economictimes.Com partnered with TeamLease to prepare a set of reports on the employment situation in the country. This story is part of the series based on data from the Employment Outlook Report of TeamLease. Part of ET Jobs Disruption Report, these stories scan various aspects of the employment situation at different levels of city, sector, profile, etc.

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Factory workers need to worry about automation more than techies - Economic Times

Automation to Squeeze the ‘Muddy Middle’ of Big Law (Perspective … – Bloomberg Big Law Business

Blue cables connect computer server units. Photographer: Krisztian Bocsi/Bloomberg

A recent Gartner report observed that, by 2022, smart machines and robots may replace highly trained professionals in tasks within medicine, law and IT. The report goes on to conclude that the ability of automation techniques to substitute for a lawyer means that what the enterprise previously considered value-added practices will become a utility (Prepare for When AI Turns Skilled Practices Into Utilities, Gartner, March 8, 2017).

It is yet another voice in the debate over the impact of advanced technologies on BigLaw. In considering this issue, we tend to overlook the reality that BigLaw is no longer a monolithic industry. The most recent set of AmLaw data simply confirms the trend we have seen for a number of years the industry is becoming increasingly stratified into groups of firms with different brand values and positions in the marketplace. For example, the top 20 or so elite firms have clearly broken from the pack with respect to economic performance. Beneath that group it is likely that we will see clusters of firms begin to emerge at various levels of the marketplace.

This change in the structure of the industry is largely driven by economic/market factors. Clients want and need different things from their legal service providers. They need predictable cost structures, efficient service delivery, smart deployment of technology, process, and project management to name a few.

In the absence of an industry willing to meet these challenges, the buyers of legal services are speaking with their money. Elite firms (or elite practices within firms) continue to attract client business. And, while there continues to be work for other firms, increasingly clients are keeping work in-house or using alternative service providers. Thus, while the need for legal services is rising, the demand for services from traditional law firms remains flat.

Avoiding the Muddy Middle

We see this dynamic reflected in a variety of data spread over the industry. Of course, AmLaw data supports this conclusion. Similarly, in a recent Altman Weil survey, well over half of the firms responded that their partners were underproductive (Altman Weil 2017 Law Firms in Transition). Yes, there is still healthy money to be earned in the industry generally, but the struggle in the muddy middle of the industry to compete for scarce market share is quite clear. This is so because the nature of the business has changed. Mark Cohen captured this change perfectly by noting that legal delivery is now the business of delivering legal services, not simply the practice of law (Are Law Firms Becoming Obsolete, Forbes, June 12, 2017).

Now layer technology advances on this striated industry. The impact simply will not be felt equally. Technology whether through cognitive computing, machine learning or other tools usually lumped together under the term AI will shortly be in a position to handle the repetitive tasks generally associated with large swaths of the practice. The elite firms those firms or practices that handle legitimately bespoke work will stave off the impact. For smaller firms or alternative service providers, it provides an opportunity to use technology to punch above their weight. It is the firms in the middle that will be squeezed. In another context, McKinsey has referred to this as the barbell economy (McKinsey Global Institute, A Future that Works).

Can firms in the muddy middle adapt to this challenge? Some will. Most will not. The problem is that adaptation requires change. The Altman Weil survey produced some interesting results in this regard. The overwhelming majority of managing partners surveyed see the increased price pressure, the slide of practices into commodities and the impact of technology as permanent trends.

Despite this recognition, 61.5percent of the respondents said their firm was only moderately (or less) serious about change. Lest you think this is not a bad number: 81.5percent of corporate counsel gave the same response about their firms. On the technology front, only 7.5percent of firms have begun to use AI tools. Another 29percent are exploring. The remaining 64percent were either doing nothing or are unaware of the emerging opportunities.

The reason for this disconnect between belief and action is pretty obvious: 65percent of firm leaders say their partners resist change. Hardly shocking. And why? 60percent respond that they are not feeling enough economic pain to feel the need to change.

Indeed, the financial performance of the industry remains healthy. The speed of technological advances, however, is remarkable. Up until this point, the industry has had the ability to slowly adapt to market forces and emerge ever stronger.

That slow adaptation is unlikely to work this time. Existing market forces will only be amplified by the emergence of different technologies that will change the nature of the delivery of legal services. This is a tremendous opportunity for firms who embrace the challenge and change their delivery systems. For those who continue to believe they are special snowflakes that will escapewell, the odds are not in their favor.

For more essays from Stephen Poor (@stephen_poor) and Seyfarth on change in the legal industry, visitRethink the Practice.

Originally posted here:

Automation to Squeeze the 'Muddy Middle' of Big Law (Perspective ... - Bloomberg Big Law Business

Automation will drive efficient, smooth and safe world trade by 2060: Kalmar – Hellenic Shipping News Worldwide

By 2060, all goods will be shipped safely to their destination in smart containers within minutes of an order being placed, according to Kalmars renewed Port 2060 vision for the future of cargo handling.

An industry frontrunner in terminal automation and energy-efficient container handling, Kalmar forecasts that world trade in 2060 will be driven by automation and smart containers that know their contents and destination.

Being fully automated, the working environments in port terminals will be significantly improved in terms of efficiency and safety goods will move around faster, with almost no incidents.

Mr Peter McLean, Kalmars Head of Asia Pacific, said that port terminals will be complete logistic ecosystems, acting as global interchange points for an on-demand society.

In 40 years, consumers will be able to order goods directly from local producers and have the goods shipped to them within minutes. Since everything will be connected, consumers will be able to track exactly when the goods will arrive.

With automation, every move made by the smart containers will be consistently managed, which means that there will be almost no damage to the containers and port equipment. This helps to create a safer working environment for port workers, he said.

Kalmars renewed Port 2060 vision emphasises that artificial intelligence, combined with human experience and knowledge, will help solve highly complex problems. Predictive maintenance will be continually performed on all smart equipment at port terminals to avoid downtime and ensure that every process throughout the trade journey runs smoothly.

This means that in the event of downtime, equipment parts can be 3D printed on-site and installed automatically, ensuring that goods can continue to move efficiently throughout the supply chain, according to Mr McLean.

He further noted that industry automation is well underway and has escalated in the past decade, especially in Asia-Pacific. Automation is becoming increasingly important in the Asia-Pacific region, especially with the establishment of the One Belt One Road (OBOR) initiative. We are already seeing investments being made in automation in countries like Singapore, China and Australia. Many of these countries have been upgrading their technological capabilities while also investing in developing the human expertise needed to operate new technologies.

Over the next 40 years, new generations will have more time and space to innovate, thereby further improving communication and interactions over the entire supply chain network. We believe that by 2060, the pace of automation in Asia-Pacific will be comparable to the level of automation in Europe and other parts of the world, said Mr McLean.

Kalmars aim is to anticipate the challenges and solutions that will be relevant to the industry in the upcoming years, and work with the different port authorities to close the gaps in automation, thereby boosting the reliability and efficiency of cargo handling services in the region.

Mr McLean said, In our Port2060 vision, goods are transported faster, more efficiently and most importantly, safely. Ports are likely to be fully automated across Asia-Pacific, and the working environment in port terminals will be very different from what it is now.

We want to make this vision a reality by leading the discussion on the future of cargo handling, and helping our customers and partners adopt new technologies and innovations that prepare them for the future. Source: Kalmar

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Automation will drive efficient, smooth and safe world trade by 2060: Kalmar - Hellenic Shipping News Worldwide