While artificial intelligence (AI) has been around for many years, deployment has been picking up. Between 2017 and 2018, consulting firm McKinsey & Co. foundthe percentage of companiesembedding at least one AI capability in their business processes more than doubled to 47 percent from 20 percent the year before.
Although companies are adopting it, they often lack a clear plan: A recent IDC survey found that of the companies already using AI, only 25 percent had an enterprise-wide strategy on how to implement it.
To help navigate that challenge, heres how the four pillars of Google Clouds Deployed AI vision can reshape your business.
For AI to be deployed effectively, it must be focused on a new business problem or unrealized opportunity. To that end, there are several areas of business that the technology is well-suited to address.
One key problem is fixing aging processes, notes Ritu Jyoti, program vice president of Artificial Intelligence Strategies for research firm IDC.
Companies that have been around for a long time will have a lot of archaic processes, and they need to be upgraded, Jyoti says.
Bank fraud is one prominent example. Machine learning (ML), a subset of AI, provides an opportunity to solve this problemby helping banks sort through large amounts of bank transactions to detect suspicious patterns of financial activity.
Customer relationships is another area AI can improve. Chatbots, for example, are enhancing customer service by providing support 24/7, Jyoti says. Furthermore, companies can also use AI to develop the right incentives for customers without losing money. Firms sometimes lose income due to lapsed contracts or stuck deals in which a transaction is started but unable to be completed, Jyoti notes.
This feature helps organizations optimize early payment discount offers by using ML algorithms to find the right balance between incentivizing customers while ensuring profitability for the seller, Jyoti says.
Another business problem in which AI can help is in document processing, including insurance claims, tax returns and mortgage applications, which can involve hundreds of pages of documents on income and assets, notes Vinod Valloppillil, Googles head of product for Google Cloud Language AI, who spoke at Forbes CIO Next conference.
[Document processing] is one of the few domains that actually brings in multiple parts of AI all simultaneously, Valloppillil says. It incorporates computer vision, deep learning and natural language processing.
When deploying AI to solve a business problem, the technology should be central to that solution. Many examples across industriesincluding healthcare and energyexemplify how innovative problem-solving can hinge on AI.
The medical industry, for instance, is turning to AI to build algorithms to detect pneumonia. With genomic data bringing insights on who will be susceptible to various disease conditions, disease prevention is one area that cant be solved without AI. An AI platform can also become part of an end-to-end solution when hospitals need to connect medical data to cloud platforms.
AI can also help physicians determine whether a patient has diabetic retinopathy, Valloppillil says. An Explainable AI model would help determine if screening was necessary based on the appearance of various regions of the image.
Were getting to the point where AI can do quite a bit of engineering, Valloppillil says.Meanwhile, the energy sector has found AI to be essential to keeping wind facilities safer, faster, and more accurate, according to Andrs Gluski, president and CEO of AES, a global power company. Drones and Cloud AutoML Vision, a platform that provides advanced visual intelligence and custom ML models, make these improvements in wind energy possible.
Once youve identified the business problem and decided to use AI in the solution, the next step is building customer trust and maintaining proper ethics. In a Deloitte survey of 1,100 IT and line-of-business executives, 32 percent placed ethical risks in the top three of AI-related concerns.
To build trust, ethics should come ahead of any productivity or financial gains from using AI. A crucial part of that is being transparent about how a company uses AI.Consulting firm Capgemini recommends using opt-in forms to help build transparency with customers regarding AI. Meanwhile, privacy laws like the European Unions General Data Protection Regulation (GDPR) also contribute to the transparency requirements for AI.
Jyoti also recommends including fact sheetssimilar to how food packaging includes nutrition informationabout details like data sources and lineage. A set of AI Principles from Google help businesses ensure that theyre using AI in a responsible manner and that they understand the limits of the technology. Users of AI should maintain accountability to human direction, uphold standards set by scientists and test for safety.
These are the principles we as a company orient around, things like always optimize around the fairness of AI, and try to avoid any situation where AI can get abused, Valloppillil says.
Finally, to ensure a cycle of improvement, companies should use clear, objective metrics to assess progress towards their business goals.
For example, if AI is used to assist with rsum screening in the hiring process, make sure the screening adheres to company policies on equal opportunity to maintain fairness. To form an objective metric, come up with representative numbers of candidates for various demographics and train ML algorithms accordingly.
Avoid the blinders of the homogenous teams, Jyoti says.Tools and frameworks like Explainable AI can help companies build inclusive systems that address bias, which involves the data not being representative of the decisions a business is trying to make. This makes the problem of garbage in, garbage out multiplied a hundredfold, Valloppillil says.
The concept of explainability helps provide insight into the decisions that AI helps deliver.
With explainability we're now finally getting to the point where we go peek inside the box, Valloppillil says. We actually have a shot at understanding exactly why does AI make the call.
As AI continues to evolve, there are increasing opportunities for the technology to meaningfully improve business operations. With ethical implications in mind and a clear focus on measurable metrics, Deployed AI is poised for growth.
Originally posted here:
4 Steps To Shape Your Business With AI - Forbes
- Classic reasoning systems like Loom and PowerLoom vs. more modern systems based on probalistic networks - November 8th, 2009 [November 8th, 2009]
- Using Amazon's cloud service for computationally expensive calculations - November 8th, 2009 [November 8th, 2009]
- Software environments for working on AI projects - November 8th, 2009 [November 8th, 2009]
- New version of my NLP toolkit - November 8th, 2009 [November 8th, 2009]
- Semantic Web: through the back door with HTML and CSS - November 8th, 2009 [November 8th, 2009]
- Java FastTag part of speech tagger is now released under the LGPL - November 8th, 2009 [November 8th, 2009]
- Defining AI and Knowledge Engineering - November 8th, 2009 [November 8th, 2009]
- Great Overview of Knowledge Representation - November 8th, 2009 [November 8th, 2009]
- Something like Google page rank for semantic web URIs - November 8th, 2009 [November 8th, 2009]
- My experiences writing AI software for vehicle control in games and virtual reality systems - November 8th, 2009 [November 8th, 2009]
- The URL for this blog has changed - November 8th, 2009 [November 8th, 2009]
- I have a new page on Knowledge Management - November 8th, 2009 [November 8th, 2009]
- N-GRAM analysis using Ruby - November 8th, 2009 [November 8th, 2009]
- Good video: Knowledge Representation and the Semantic Web - November 8th, 2009 [November 8th, 2009]
- Using the PowerLoom reasoning system with JRuby - November 8th, 2009 [November 8th, 2009]
- Machines Like Us - November 8th, 2009 [November 8th, 2009]
- RapidMiner machine learning, data mining, and visualization tool - November 8th, 2009 [November 8th, 2009]
- texai.org - November 8th, 2009 [November 8th, 2009]
- NLTK: The Natural Language Toolkit - November 8th, 2009 [November 8th, 2009]
- My OpenCalais Ruby client library - November 8th, 2009 [November 8th, 2009]
- Ruby API for accessing Freebase/Metaweb structured data - November 8th, 2009 [November 8th, 2009]
- Protégé OWL Ontology Editor - November 8th, 2009 [November 8th, 2009]
- New version of Numenta software is available - November 8th, 2009 [November 8th, 2009]
- Very nice: Elsevier IJCAI AI Journal articles now available for free as PDFs - November 8th, 2009 [November 8th, 2009]
- Verison 2.0 of OpenCyc is available - November 8th, 2009 [November 8th, 2009]
- What’s Your Biggest Question about Artificial Intelligence? [Article] - November 8th, 2009 [November 8th, 2009]
- Minimax Search [Knowledge] - November 8th, 2009 [November 8th, 2009]
- Decision Tree [Knowledge] - November 8th, 2009 [November 8th, 2009]
- More AI Content & Format Preference Poll [Article] - November 8th, 2009 [November 8th, 2009]
- New Planners Solve Rescue Missions [News] - November 8th, 2009 [November 8th, 2009]
- Neural Network Learns to Bluff at Poker [News] - November 8th, 2009 [November 8th, 2009]
- Pushing the Limits of Game AI Technology [News] - November 8th, 2009 [November 8th, 2009]
- Mining Data for the Netflix Prize [News] - November 8th, 2009 [November 8th, 2009]
- Interview with Peter Denning on the Principles of Computing [News] - November 8th, 2009 [November 8th, 2009]
- Decision Making for Medical Support [News] - November 8th, 2009 [November 8th, 2009]
- Neural Network Creates Music CD [News] - November 8th, 2009 [November 8th, 2009]
- jKilavuz - a guide in the polygon soup [News] - November 8th, 2009 [November 8th, 2009]
- Artificial General Intelligence: Now Is the Time [News] - November 8th, 2009 [November 8th, 2009]
- Apply AI 2007 Roundtable Report [News] - November 8th, 2009 [November 8th, 2009]
- What Would You do With 80 Cores? [News] - November 8th, 2009 [November 8th, 2009]
- Software Finds Learning Language Child's Play [News] - November 8th, 2009 [November 8th, 2009]
- Artificial Intelligence in Games [Article] - November 8th, 2009 [November 8th, 2009]
- Artificial Intelligence Resources - November 8th, 2009 [November 8th, 2009]
- Alan Turing: Mathematical Biologist? - April 25th, 2012 [April 25th, 2012]
- BBC Horizon: The Hunt for AI ( Artificial Intelligence ) - Video - April 30th, 2012 [April 30th, 2012]
- Can computers have true artificial intelligence" Masonic handshake" 3rd-April-2012 - Video - April 30th, 2012 [April 30th, 2012]
- Kevin B. Korb - Interview - Artificial Intelligence and the Singularity p3 - Video - April 30th, 2012 [April 30th, 2012]
- Artificial Intelligence - 6 Month Anniversary - Video - April 30th, 2012 [April 30th, 2012]
- Science Breakthroughs - April 30th, 2012 [April 30th, 2012]
- Hitman: Blood Money - Part 49 - Stupid Artificial Intelligence! - Video - April 30th, 2012 [April 30th, 2012]
- Research Members Turned Off By HAARP Artificial Intelligence - Video - April 30th, 2012 [April 30th, 2012]
- Artificial Intelligence Lecture No. 5 - Video - April 30th, 2012 [April 30th, 2012]
- The Artificial Intelligence Laboratory, 2012 - Video - April 30th, 2012 [April 30th, 2012]
- Charlie Rose - Artificial Intelligence - Video - April 30th, 2012 [April 30th, 2012]
- Expert on artificial intelligence to speak at EPIIC Nights dinner - May 4th, 2012 [May 4th, 2012]
- Filipino software engineers complete and best thousands on Stanford’s Artificial Intelligence Course - May 4th, 2012 [May 4th, 2012]
- Vodafone xone™ Hackathon Challenges Developers and Entrepreneurs to Build a New Generation of Artificial Intelligence ... - May 4th, 2012 [May 4th, 2012]
- Rocket Fuel Packages Up CPG Booster - May 4th, 2012 [May 4th, 2012]
- 2 Filipinos finishes among top in Stanford’s Artificial Intelligence course - May 5th, 2012 [May 5th, 2012]
- Why Your Brain Isn't A Computer - May 5th, 2012 [May 5th, 2012]
- 2 Pinoy software engineers complete Stanford's AI course - May 7th, 2012 [May 7th, 2012]
- Percipio Media, LLC Proudly Accepts Partnership With MIT's Prestigious Computer Science And Artificial Intelligence ... - May 10th, 2012 [May 10th, 2012]
- Google Driverless Car Ok'd by Nevada - May 10th, 2012 [May 10th, 2012]
- Moving Beyond the Marketing Funnel: Rocket Fuel and Forrester Research Announce Free Webinar - May 10th, 2012 [May 10th, 2012]
- Rocket Fuel Wins 2012 San Francisco Business Times Tech & Innovation Award - May 13th, 2012 [May 13th, 2012]
- Internet Week 2012: Rocket Fuel to Speak at OMMA RTB - May 16th, 2012 [May 16th, 2012]
- How to Get the Most Out of Your Facebook Ads -- Rocket Fuel's VP of Products, Eshwar Belani, to Lead MarketingProfs ... - May 16th, 2012 [May 16th, 2012]
- The Digital Disruptor To Banking Has Just Gone International - May 16th, 2012 [May 16th, 2012]
- Moving Beyond the Marketing Funnel: Rocket Fuel Announce Free Webinar Featuring an Independent Research Firm - May 23rd, 2012 [May 23rd, 2012]
- MASA Showcases Latest Version of MASA SWORD for Homeland Security Markets - May 23rd, 2012 [May 23rd, 2012]
- Bluesky Launches Drones for Aerial Surveying - May 23rd, 2012 [May 23rd, 2012]
- Artificial Intelligence: What happened to the hunt for thinking machines? - May 25th, 2012 [May 25th, 2012]
- Bubble Robots Move Using Lasers [VIDEO] - May 25th, 2012 [May 25th, 2012]
- UHV assistant professors receive $10,000 summer research grants - May 27th, 2012 [May 27th, 2012]
- Artificial intelligence: science fiction or simply science? - May 28th, 2012 [May 28th, 2012]
- Exetel taps artificial intelligence - May 29th, 2012 [May 29th, 2012]
- Software offers brain on the rain - May 29th, 2012 [May 29th, 2012]
- New Dean of Science has high hopes for his faculty - May 30th, 2012 [May 30th, 2012]
- Cognitive Code Announces "Silvia For Android" App - May 31st, 2012 [May 31st, 2012]
- A Rat is Smarter Than Google - June 5th, 2012 [June 5th, 2012]