Category Archives: Artificial Intelligence

The future is one of my favorite things to think about. The future holds potential and possibility. The ability to think about the future, imagine the possibilities and take action in the present moment is what separates successful people from others.

In business, seeing the future can help you innovate and invest in that future. The apps and products that are popular right now were mostly started more than five years ago. There really aren't many "overnight successes." If you want to be successful in five years, you need to use your vision right now.

There's no question that artificial intelligence (AI) will be widespread in five years. Yet we don't know exactly what it will look like. Ask 27 experts how AI will change our lives, and you'll get 27 different answers.

This article details a few more ways that AI will impact our lives. To understand where AI's biggest impacts will be, however, consider which sectors are already showing signs of disruption.

1. The Internet of Things

The idea of inventing the future years before is true of my experience as a co-founder of SkyBell, a smart home company. When I envisioned a concept of a smart neighborhood of doorbells working together and helped file the patent, it was years before anything like that would hit the market.

AI's ability to parse millions of data points to create great user experiences makes the home a great place to deploy AI. The smart home industry already has tons of devices with sensors, cameras and microphones, all providing inputs for data and outputs for actions and commands.

You can see platforms taking shape and devices starting to use AI and invest in its promise. Voice assistants, like Google Assistant, are already embedded in smart home products, wearables, mobile devices and more. Many connected camera products also deploy computer vision, facial recognition and other forms of visual AI. It's clear that this is just the beginning for AI and the smart home.

2. Customer Service

It's very likely you've already come across chatbots for customer service. As a business, they're very effective in helping consumers get access to the support they need. Because users tend to ask the same things over and over, automation software can address most questions without human intervention.

Chatbots are just the beginning of how AI will reshape customer service. Rowan Trollope, CEO of Five9, a cloud contact center software provider, foresees AI conducting call analysis in real time and delivering proactive product suggestions. A B2B software firm might use it to create content that addresses leads' most common sticking points. Internally, customer service staff could use it to learn which phrases tend to agitate callers and which calm them.

But AI shouldn't get rid of human customer service agents. Instead, the technology will free human agents to focus on more complex questions or escalations. A mix of AI and human agents will enhance the customer experience and increase efficiency.

3. Real Estate

Quantitative bots already analyze, buy and sell stocks and currencies. Algorithmic trading represents about 80% of the U.S. stock market. In the future, AI may identify and even buy properties for real estate investors.

Virtually every corner of real estate will be affected. To develop its "Zestimates," property listing site Zillow uses AI to factor digital photos into property value predictions. Using neural networks trained on millions of photos and home values, Zillow's Zestimates have a median error rate of 2%.

AI may already have appraisals down, but it'll reshape other real estate roles as well. Mortgage lenders will lean on AI for risk calculations. Developers will select sites based on algorithms trained on local zoning regulations. Realtors will feed buyers' personal tastes into algorithms, cross-referencing those interests with properties on the market.

4. Education

Within years, educators will pass the red pen to AI, which will grade students' assignments faster and more accurately than teachers can. But the most exciting educational application in education is learning plans.

Startups and businesses are starting to use AI to generate learning plans based on how students perform on quizzes and questionnaires. Over time, AI can build personalized learning plans that account for each student's strengths and weaknesses. It isn't unthinkable that, in five years, every student will have a curriculum tailored to his or her specific interests, learning style and professional plans.

5. Automobiles

When you live in Silicon Valley, you constantly see autonomous cars being driven by their human developers. These cars are packed with cameras, sensors and other data input tools that feed some of the most complex AI and machine learning platforms on the planet.

And while these autonomous cars aren't yet fully operating on roads in the U.S., Tesla cars already offer some form of self-driving. Tesla recently released a feature that allows owners to summon their vehicle to pick them up.

You can see how AI is already changing the auto industry, and it's easy to predict that this will continue to the day when we have fully autonomous vehicles. Actually, it'll continue through that day and continue leading to additional advancements.

Final Word

If you want to know what the world will look like in five years, turn your attention to the innovative seeds being planted now. It's easy to see that artificial intelligence is already making its way into our daily lives, allowing us to extrapolate where it will go from here. These are just five examples. Don't lose sight that AI will be wildly pervasive -- there's no limit to what it can do and how it'll change our world.

The opinions expressed here by Inc.com columnists are their own, not those of Inc.com.

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5 Billion-dollar Industries That Will Be Changed By Artificial Intelligence - Inc.

Photo: Joe McKendrick

Artificial intelligence is a must-have in todays economy. However, for the most part, its still not delivering business value in a profound way. Yet, everyone has high hopes.

Thats the word from a survey of 2,555 executives published by MIT Sloan Management Review and Boston Consulting Group, which finds those companies achieving success with AI are those that pay close attention extremely close attention to organizational factors.

A growing number of leaders view AI as not just an opportunity but also a strategic risk, the studys co-authors, led by Sam Ransbotham of Boston College, report. What if competitors, particularly unencumbered new entrants, figure out AI before we do? In 2019, 45% perceived this risk in their markets, up from 37% in 2017.

The path to AI-driven success is not a smooth one, however. Many AI initiatives have been falling flat when it comes to business impact. Seven out of 10 companies surveyed report minimal or no impact from AI so far, the survey shows.

Even among organizations leading the way with AI with significant investments, only about three in five report some business impact from AI. This means 40% of organizations making significant investments in AI do not report business gains from AI, Ransbotham and his team points out.

Whats the problem? Organizational issues bog down AI initiatives, the survey shows. Companies that focus solely on the production of AI data, technology, tools are less likely to derive value than those companies that actively align business owners, process owners, and AI owners, the survey authors state. Leaders enable their organizations to consume AI as much as to produce AI.

Ransbotham and his co-authors identified five common traits that the AI winners exhibit:

While the AI leaders have these commonalities, there is no step-by-step process for achieving a sustainable and profitable AI initiative, the researchers caution. The key is to elevate AI efforts out of the labs and into the business mainstream where everyone can see and experience it.

Executives must act strategically, they advise. Acting strategically means deciding what not to do. AI projects that focus on targeted solutions create a positive pressure for organizational integration on two levels: by forcing a level of data hygiene that yields greater integration across functions, and by revealing exciting opportunities for innovation that organizations can only realize if many disparate parts of the organization pull together.

Originally posted here:

Five Traits Of Artificial Intelligence Trailblazers - Forbes

Artificial Intelligence Use Expected to Increase in Risk and Compliance Efforts | 2019-10-30 | Security Magazine This website requires certain cookies to work and uses other cookies to help you have the best experience. By visiting this website, certain cookies have already been set, which you may delete and block. By closing this message or continuing to use our site, you agree to the use of cookies. Visit our updated privacy and cookie policy to learn more. This Website Uses CookiesBy closing this message or continuing to use our site, you agree to our cookie policy. Learn MoreThis website requires certain cookies to work and uses other cookies to help you have the best experience. By visiting this website, certain cookies have already been set, which you may delete and block. By closing this message or continuing to use our site, you agree to the use of cookies. Visit our updated privacy and cookie policy to learn more.

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Artificial Intelligence Use Expected to Increase in Risk and Compliance Efforts - Security Magazine

NEW DELHI: Germany and India are likely to sign agreements including a partnership on the use of artificial intelligence in farming during a three-day visit to New Delhi by Chancellor Angela Merkel that begins on Thursday, the German ambassador said.

Merkel will be accompanied by several cabinet colleagues and a business delegation, ambassador Walter J. Lindner told reporters.

Merkel and Indian Prime Minister Narendra Modi are expected to discuss trade, investment, regional security and climate change.

Both countries could sign agreements in areas such as artificial intelligence and green urban mobility, Lindner said.

"This time, the focus will be on economic and trade relations, innovation and digitalisation, and climate protection and sustainable development," Merkel said in a message ahead of the visit released by the Indian embassy in Berlin.

Bilateral trade between the two countries rose to $24.06 billion in the 2018/19 fiscal year ending in March from $22 billion the previous year, while German companies have invested nearly $12 billion in India since 2000.

Germany is India's largest trading partner in Europe and more than 1,700 German companies are operating in India.

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India and Germany likely to sign agreement on artificial intelligence - Economic Times

Updated: May 25, 2018:

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Is the Use of Artificial Intelligence in the Employee Application Process Worth the Risk? - JD Supra

Updated: May 25, 2018:

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Five Questions With...Doug Smith, SVP at Tallan, on Artificial Intelligence and Analytics in the Workplace - JD Supra

DUBLIN--(BUSINESS WIRE)--The "Artificial Intelligence (AI) Hardware: Global Markets" report has been added to ResearchAndMarkets.com's offering.

The scope includes the analysis of the AI hardware market based on technology type, computation type, end use industries and regional markets. For each of these market segments, revenue forecasts for 2018 through 2024 are provided at the global level.

The AI hardware market is segmented into the following categories:

This report covers analyses of the global market trends, with data from 2018 to 2024 and projections of CAGR during 2019 to 2024 . The estimated values used are based on manufacturers' total revenues. Projected and forecasted revenue values are in constant U.S. dollars that have not been adjusted for inflation.

Report Includes:

Key Topics Covered:

Chapter 1 Introduction

Chapter 2 Summary and Highlights

Chapter 3 Market and Technology Background

Chapter 4 AI Hardware Market

Chapter 5 Competitive Landscape

Chapter 6 Company Profiles

For more information about this report visit https://www.researchandmarkets.com/r/2h9th9

Originally posted here:

Global Artificial Intelligence (AI) Hardware Markets, 2019-2024 - Start-Ups and Software Industry Giants Entering the AI Hardware Industry -...

For private companies and government agencies trying to track peoples' movements, technology is making the task increasingly easy.

Facial recognition and analysis are becoming increasingly popular surveillance tools the technology was rolled out in airports across the world this summer as a tool for verifying flyers' identity, and is widely used by police departments for tracking suspected criminals.

Privacy-minded activists and lawmakers are now hitting back at facial recognition. The technology has been banned for law-enforcement purposes across California, and a similar bill is being weighed in Massachusetts. Meanwhile, artists and researchers have begun to develop clothes designed to thwart algorithms that detect human faces.

But emerging technology presents alternate means of identifying and tracking humans beyond facial recognition. These methods, also driven by artificial intelligence, detect the presence of humans using devices ranging from lasers to WiFi networks.

The vast range of biometric data that technology can register makes regulation difficult. Meanwhile, some of the emerging surveillance technology is already being embraced by military powers like the US and China.

Here's a rundown of emerging technology that can detect humans and track their location.

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How AI is being trained to recognize humans beyond facial recognition - Business Insider

Using a fluoroscopy system enabled with artificial intelligence (AI) during image-guided endoscopy can significantly reduce patients exposure to radiation and diminish the scatter effect to endoscopy personnel, according to late-breaking research presented at the American College of Gastroenterology (ACG) 2019 Annual Scientific Meeting and Postgraduate Course.

To reach this conclusion, Ji Young Bang, MD, from AdventHealth Orlando in Orlando, Florida, and colleagues conducted a prospective study of 100 consecutive patients who underwent endoscopy with either a conventional fluoroscopy system (n=50) or an AI-enabled fluoroscopy system (n=50).

The study outcome measures were to compare radiation exposure to patients via dose area product (DAP) and to measure radiation scatter to endoscopy personnel via a dosimeter.

The groups had no significant difference in demographics, body mass index, procedural type, or procedural/fluoroscopy time between the conventional and the AI-enabled fluoroscopy systems.

Radiation exposure to patients was lower with the AI-enabled fluoroscopy system compared with the conventional system (median DAP, 2178 mGym2 vs 5708 mGym2, respectively).

The scatter effect to endoscopy personnel was less with the AI-enabled fluoroscopy system compared with the conventional system (total deep-dose equivalent, 0.28 mSv vs 0.69 mSv, respectively), for a difference of 59.4%.

After adjusting for patient characteristics, procedural/fluoroscopy duration, and type of fluoroscopy system, only the AI-enabled fluoroscopy system and fluoroscopy duration were associated with radiation exposure.

Colleen Murphy

Reference:

Bang JY. Use of artificial intelligence to reduce radiation exposure at fluoroscopy-guided endoscopic procedures (late-breaking abstract) [abstract 73]. Presented at: ACG 2019Annual Scientific Meeting and Postgraduate Course; October 25-30, 2019; San Antonio, TX.

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Artificial Intelligence May Reduce Radiation Exposure in Fluoroscopy-Guided Endoscopy - Consultant360

In this version of the future, people will still have a role working alongside smart systems: either the technology will not be good enough to take over completely, or the decisions will have human consequences that are too important to hand over completely to a machine. Theres just one problem: when humans and semi-intelligent systems try to work together, things do not always turn out well. Like almost all of todays autonomous cars, a back-up driver was there to step in if the software failed. The so-called Level 3 system is designed to drive itself in most situations but hand control back to a human when confronted by situations it cannot handle.

If youre only needed for a minute a day, it wont work, says Stefan Heck, chief executive of Nauto, a US start-up whose technology is used to prevent professional drivers from becoming distracted. Without careful design, the intelligent systems making their way into the world could provoke a backlash against the technology. Preventing that will require more realistic expectations of the new autonomous systems, as well as careful design to make sure they mesh with the human world. Does the AI make us feel more involved or is it like dealing with an alien species?

Research from Stanford University has shown that it takes at least six seconds for a human driver to recover their awareness and take back control, says Mr Heck. But even when there is enough time for human attention to be restored, the person stepping into a situation may see things differently from the machine, making the handover far from seamless.

We need to work on a shared meaning between software systems and people this is a very difficult problem, says Mr Sikka. A second type of human/machine cooperation is designed to make sure that a sensitive task always depends on a person even in situations where an automated system has done all the preparatory work and would be quite capable of completing the task itself. Military drones, where human pilots, often based thousands of miles away, are called on to make the decision to fire at a target, are one example. Both show how AI can make humans far more effective without robbing them of control, says Mr Heck.

You cant say the technology itself can only be used in a defensive way and under human control. A final type of human in the loop system involves the use of AI that is not capable of handling a task entirely on its own but is used as an aid to human decision-making. Algorithms that crunch data and make recommendations, or direct people in which step to take next, are creeping into everyday life. The algorithms, though, are only as good as the data they are trained on and they are not good at dealing with new situations.

People required to trust these systems are often also required to take them on faith. The outcome of these computer-aided decisions may well end up being worse than those based on purely human analysis, he says. Sometimes people will blindly follow the machine, other times people will say: Hang on, that doesnt look right.

But what happens when the stakes are higher? IBM made medical diagnostics one of the main goals for Watson, the system first created to win a TV game show and then repurposed to become what it calls a more general cognitive system. Simply saying theyll still make the decisions doesnt make it so. Similar worries surfaced in the 1980s, when the field of AI was dominated by expert systems designed to guide their human users through a decision tree to reach the correct answer in any situation.

But the latest AI, based on machine learning, looks set to become far more widely adopted, and it may be harder to second-guess.

Non-experts may feel reluctant to second-guess a machine whose workings they do not understand. Technicians had no way of identifying the flaw and the machine stayed in use much longer as a result, says Mr Nourbakhsh.

Some experts, however, say headway is being made and that it will not be long before machine learning systems are able to point to the factors that led them to a particular decision. Like many working in the field, he expresses optimism that humans and machines, working together, will achieve far more than either could have done alone.

He had already founded and sold off several successful consumer technology companies, but as he grew older he wanted to do something more meaningful, that is, he wanted to build a product that would serve the people that technology startups had often ignored. Both my friend and I were entering the age at which our parents needed more help going about their daily lives, and he decided to design a product that would make life easier for the elderly.

It sounded like a wonderful product, one that would have a real market right now.

But once those material needs were taken care of, what these people wanted more than anything was true human contact, another person to trade stories with and relate to. If he had come to me just a few years earlier, I likely would have recommended some technical fix, maybe something like an AI chat bot that could simulate a basic conversation well enough to fool the human on the other end.

But there remains one thing that only human beings are able to create and share with one another: love.

Despite what science-fiction films like Her in which a man and his artificially intelligent computer operating system fall in love portray, AI has no ability or desire to love or be loved.

I firmly believe we must forge a new synergy between artificial intelligence and the human heart, and look for ways to use the forthcoming material abundance generated by artificial intelligence to foster love and compassion in our societies.

Excerpted with permission from The Tech Whisperer: On Digital Transformation and the Technologies that Enable It, Jaspreet Bindra, Penguin Portfolio.

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This chapter on the future of Artificial Intelligence was written by Artificial Intelligence - Scroll.in