Along with the hype surrounding artificial intelligence (AI) and its potential to make firms more efficient and productive, it faces continued scrutiny in relation to its impact on the jobs market. Cameron Batt from digital transformation consultancy Crum Consult reflects on how AI has affected the labour market in the industrial landscape so far.

Digital technology has long been discussed as a potential game-changer in modern business, with artificial intelligence and automationhaving been heralded as ways for stagnating sectors to battle productivity gaps, save large sums of money in efficiencies, and improve security and customer experience in the process. As a result, investors have been diving into various pilot schemes in recent years especially in manual labour intensive industries, which contain some of the easiest roles to automate.

This is not without controversy, however. While some researchers are concerned with the idea that super-intelligent machines may evolve past what their human creators intended them to do so, the chief worry about AI tools at present is that they will lead to swathes of lay-offsin industries like manufacturing.

At Crum Consult, we are researching to what extent AI will impact human jobs and workforces. In previous years it has seemed like AI would never be able to replace complex human jobs that require a deep level of interaction such as medical-related careers, although it seems like the bridge has been gapped.

Until recently, AI machines have never been able to overcome changing environments and the inconsistencies that real world jobs present. Small changes in the environment such as wind and light conditions would render them useless at construction type jobs. However, thanks to firms like Covariant AI, there are now commercial robots that are trained in simulation in order to complete intricate tasks.

The first advanced robot that Covariant developed was a robot arm capable of sorting through equipment for German logistics firm Knapp. Once developed, Covariant carried out research that showed the robotic arm to be more accurate and faster at assortment than the human workers with years of experience.

The robotic arm is now a full time member of staff at Knapp, with Managing Director Dirk Jandura singing its praises, as the robot doesnt smoke, is always in good health, isnt chatting with its neighbours, no toilet breaks; not to mention the robot is cheaper than a human worker.

While this is alarming for workers in the logistic sector, those in other sectors might expect their roles are too complex for a robot to replace decades of human experience in. However, there is substantial evidenceto suggest that is not the case.

An example of AI impacting jobs beyond manual-labour jobs comes from iHeartMedia, a radio broadcasting conglomerate. Earlier this year, the organisation announced it would lay-off hundreds of employees in order to take advantage of AI. This is a sizable restructuring at the company and we can expect to see AI technology in every market according to a representative at iHeartMedia.

The Bank of England has also taken time to issue information regarding the idea AI machines displacing jobs. The Bank of England first stated that growth in AI means that more jobs will be done by machines, although it followed this by stating that these robots will create new jobs for humans something echoed by various reportssince. The Bank also stated that lower skilled jobs such as sales and customer service have around an 80% chance of being automated, while higher skilled jobs such as managing directors and technical associated being unlikely to be replaced.

The four scenarios that tech experts such as Forbes researcher, Blake Morgan, are preparing for are the idea that displaced workers must be re-trained. Secondly, people whose jobs are replaced by AI can go to other jobs. AI creates jobs in itself that humans will be able to take up.

Finally, there is a more drastic idea that some researchers are proposing, is that in the not-so-distant future, not everyone will work. If AI and intelligent machines are the inevitable future, and will cost jobs which will not be replaced, it is essential we have conversations now about what to do with displaced workers and economic impact this further unemployment will have.

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Is artificial intelligence a threat to industrial jobs? - Consultancy.uk

A group of researchers at the Massachusetts Institute of Technology (MIT) has so far used artificial intelligence to identify a new antibiotic that has killed even antibiotic resistant structures.

A Scottish scientist named Sir Alexander Fleming left his lab where he studied staphylococcus bacteria in 1928 and went on a two-week vacation with his family. When he returned to the lab, Fleming noticed that he had not only arranged the working area very well, but that food containing bacteria was moldy. He also noticed that bacteria seemed to be actively avoiding moldy areas of the cell culture dish.

After all this, Fleming said, I had not planned to revolutionize all drugs by discovering the worlds first antibiotic or bacteria killer. I think I did exactly that. These days, discovering new antibiotics does not require a careless and negligent scientist.

Artificial intelligence was used in the discovery of antibiotics:A group of researchers working at MIT used artificial intelligence to discover a new antibiotic that even killed antibiotic-resistant structures. The research team created a computer model that systematically scans over a hundred million chemical compounds in just a few days.

We are facing a growing crisis around antibiotic resistance, said Professor James Collins of MIT. This is due to the number of pathogens that have become resistant to existing antibiotics, he says. The research team has developed a machine learning model that can identify about 2,500 molecular compounds that inhibit the growth of bacteria.

Antibiotic study from scientists:The program was introduced to 6,000 drugs currently under review to see if they are beneficial in treating known human diseases. After the model selected the molecule with the strongest antibacterial potential unlike any known antibiotic, the team used a different model to see if the molecule would harm humans.

The model reduced the candidates to one. It was the chemical component that the researchers called halisin. Halisin was originally investigated for the treatment of diabetes, but this study did not continue due to poor test results.

After the carpet was discovered, the research team identified 23 more candidates using another compound database, two of which came out strong. Researchers are now working to find antibiotics that are more selective in bacteria, and in doing so they retain all of our beneficial gut flora. As it stands, researchers plan to work with a pharmaceutical company or nonprofit to develop the drug for use in humans.

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Scientists Discover Antibiotics in Record Time with Artificial Intelligence - Somag News

REDWOOD CITY, Calif.--(BUSINESS WIRE)--Citrine Informatics announced that it has been named to CB Insights AI 100 list, an annual showcase of the most promising artificial intelligence startups in the world.

Citrine is the industry leader in materials informatics, empowering data-driven innovation in materials and chemicals. Providing data management and AI tools customized to materials applications, the Citrine platform is an essential workflow tool, enabling scientists and engineers at large manufacturing and materials companies to systematically leverage and accelerate data-driven product development.

Its been remarkable to see the success of the companies named to the Artificial Intelligence 100 over the last four years. The 2019 AI 100 saw 48 companies go on to raise $4.9B of additional financing and nine got acquired, said CB Insights CEO Anand Sanwal. We look forward to seeing what the 2020 AI 100 companies will accomplish over the course of this year and beyond.

Through an evidence-based approach, the CB Insights research team selected the AI 100 from nearly 5,000 companies based on several factors including patent activity, investor quality, news sentiment analysis, proprietary Mosaic scores, market potential, partnerships, competitive landscape, team strength, and tech novelty. The Mosaic Score, based on CB Insights algorithm, measures the overall health and growth potential of private companies to help predict a companys momentum.

The chemicals and materials industry is charging forward to a more sustainable and agile future, and its exciting to see the work were doing at Citrine Informatics recognized on this years CB Insights AI 100 list. Were proving how AI can accelerate materials and chemicals development, so the question for many companies has moved from if they want to use AI, to how will they exploit AIs capabilities, said Citrines CEO, Greg Mulholland.

Citrine has been recognized several times for its innovation milestones in the last few years, most recently named in the 2020 Cleantech 100, a list of the leading companies in sustainable innovation.

ABOUT CB INSIGHTS

CB Insights helps the worlds leading companies accelerate their digital strategy and transformation efforts with data, not opinion. Our Emerging Tech Insights Platform provides companies with actionable insights and tools to discover and manage their response to emerging technology and startups. To learn more, please visit http://www.cbinsights.com.

ABOUT CITRINE INFORMATICS

Citrine Informatics is the award-winning materials informatics platform for data-driven materials and chemicals development. It won the 2017 World Materials Forum Start-up Challenge, the 2018 AI Breakthrough award as the "Best AI-based Solution for Manufacturing", and 2020 Cleantech 100 honors. The Citrine Platform combines smart materials data infrastructure and Artificial Intelligence, which accelerates development of cutting-edge materials, guides R&D strategy, and codifies research IP; enabling its reuse and preventing its loss. Citrine's customers include Panasonic, BASF, LANXESS, AGC, and some of the biggest and most respected names in the materials and chemicals industry in Asia, North America, and Europe. For more information visit our website at Citrine.io, or contact us at +1 650-276-7318.

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Citrine Informatics Named to the 2020 CB Insights AI 100 List of Most Innovative Artificial Intelligence Startups - Business Wire

NEW YORK, March 10, 2020 /PRNewswire/ -- Kasisto, creators of KAI - the financial services industry's leading digital experience platform has been named as one of Fast Company Most Innovative Companies (MIC) in the Artificial Intelligence Category. Fast Company, an award-winning magazine with over 10.6 million monthly visitors and 525k subscribers honors businesses that are having the most profound impact on both industry and culture, showcasing a variety of ways to thrive in today's fast-changing world. This year's MIC list features 434 businesses from 39 countries.

Kasisto ranked in the top 10 of 50 vendors listed in the Artificial Intelligence category, and was recognized for its leading conversational AI technology and ability to provide financial institutions with the power to deliver unique and compelling digital experiences to their customers.

"We are honored to receive this recognition from Fast Company and would like to take this opportunity to thank our customers from around the world and across the financial services industry. This award would not be possible without our customers support and commitment to work alongside us as we've delivered the industry's most powerful conversational AI technology, but more importantly, also delivered on our promise to make their customers digital experiences truly humanizing," says Zor Gorelov, CEO & Co-Founder of Kasisto. "Our platform, KAI is built specifically for the financial services industry, and powers human-like conversations across consumer banking, business banking, and investment management. KAI is deployed in 18 countries and is engaging with millions of consumers around the world, every day, across multiple channels, in different languages, and is optimized for performance, scalability, security, and compliance."

The World's Most Innovative Companies is Fast Company's signature franchise and one of its most highly anticipated editorial efforts of the year. It provides both a snapshot and a road map for the future of innovation across the most dynamic sectors of the economy.

"At a time of increasing global volatility, this year's list showcases the resilience and optimism of businesses across the world. These companies are applying creativity to solve challenges within their industries and far beyond," said Fast Company senior editor Amy Farley, who oversaw the issue with deputy editor David Lidsky.

Fast Company's Most Innovative Companies issue (March/April 2020) is now available online at fastcompany.com/most-innovative-companies/2020, as well as in app form via iTunes and on newsstands beginning March 17, 2020. The hashtag is #FCMostInnovative.

About Kasisto

KAI is the leading digital experience platform for the financial services industry. Kasisto's customers include DBS Bank, J.P. Morgan, Emirates NBD, Standard Chartered, TD Bank, and Manulife Bank among others. They chose KAI for its proven track record to drive business results while improving customer experiences. The platform is engaging with millions of consumers around the world, all the time, across multiple channels, in different languages, and is optimized for performance, scalability, security, and compliance. KAI is built with the deepest Conversational AI portfolio in the industry. Kasisto is headquartered in New York City, with offices in Silicon Valley and Singapore. Kasisto Singapore Pte Ltd is a wholly-owned subsidiary of Kasisto. For more information visit kasisto.com. Follow Kasisto on Twitter, LinkedIn and Facebook.

About Fast Company

Fast Company is the only media brand fully dedicated to the vital intersection of business, innovation, and design, engaging the most influential leaders, companies, and thinkers on the future of business. Since 2011, Fast Company has received some of the most prestigious editorial and design accolades, including the American Society of Magazine Editors (ASME) National Magazine Award for "Magazine of the Year," Adweek's Hot List for "Hottest Business Publication," and six gold medals and 10 silver medals from the Society of Publication Designers. The editor-in-chief is Stephanie Mehta and the publisher is Amanda Smith. Headquartered in New York City, Fast Company is published by Mansueto Ventures LLC, along with our sister publication Inc., and can be found online at http://www.fastcompany.com.

Contact: [emailprotected]

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Kasisto Named as a Top 10 Most Innovative Artificial Intelligence Company by Fast Company - PRNewswire

What Is Artificial Intelligence (AI)?

Artificial intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think like humans and mimic their actions. The term may also be applied to any machine that exhibits traits associated with a human mind such as learning and problem-solving.

The ideal characteristic of artificial intelligence is its ability to rationalize and take actions that have the best chance of achieving a specific goal.

When most people hear the term artificial intelligence, the first thing they usually think of is robots. That's because big-budget films and novels weave stories about human-like machines that wreak havoc on Earth. But nothing could be further from the truth.

Artificial intelligence is based on the principle that human intelligence can be defined in a way that a machine can easily mimic it and execute tasks, from the most simple to those that are even more complex. The goals of artificial intelligence include learning, reasoning, and perception.

As technology advances, previous benchmarks that defined artificial intelligence become outdated. For example, machines that calculate basic functions or recognize text through optimal character recognition are no longer considered to embody artificial intelligence, since this function is now taken for granted as an inherent computer function.

AI is continuously evolving to benefit many different industries. Machines are wired using a cross-disciplinary approach based in mathematics, computer science, linguistics, psychology,and more.

Algorithms often play a very important part in the structure of artificial intelligence, where simple algorithms are used in simple applications, while more complex ones help frame strong artificial intelligence.

The applications for artificial intelligence are endless. The technology can be applied to many different sectors and industries. AI is being tested and used in the healthcare industry for dosing drugs and different treatment in patients, and for surgical procedures in the operating room.

Other examples of machines with artificial intelligence include computers that play chess and self-driving cars. Each of these machines must weigh the consequences of any action they take, as each action will impact the end result. In chess, the end result is winning the game. For self-driving cars, the computer system must account for all external data and compute it to act in a way that prevents a collision.

Artificial intelligence also has applications in the financial industry, where it is used to detect and flag activity in banking and finance such as unusual debit card usage and large account depositsall of which help a bank's fraud department. Applications for AI are also being used to help streamline and make trading easier. This is done by making supply, demand, and pricing of securities easier to estimate.

Artificial intelligence can be divided into two different categories: weak and strong. Weak artificial intelligence embodies a system designed to carry out one particular job. Weak AI systems include video games such as the chess example from above and personal assistants such as Amazon's Alexa and Apple's Siri. You ask the assistant a question, it answers it for you.

Strong artificial intelligence systems are systems that carry on the tasks considered to be human-like. These tend to be more complex and complicated systems. They are programmed to handle situations in which they may be required to problem solve without having a person intervene. These kinds of systems can be found in applications like self-driving cars or in hospital operating rooms.

Since its beginning, artificial intelligence has come under scrutiny from scientists and the public alike. One common theme is the idea that machines will become so highly developed that humans will not be able to keep up and they will take off on their own, redesigning themselves at an exponential rate.

Another is that machines can hack into people's privacy and even be weaponized.Other arguments debate the ethics of artificial intelligence and whether intelligent systems such as robots should be treated with the same rights as humans.

Self-driving cars have been fairly controversial as their machines tend to be designed for the lowest possible risk and the least casualties. If presented with a scenario of colliding with one person or another at the same time, these cars would calculate the option that would cause the least amount of damage.

Another contentious issue many people have with artificial intelligence is how it may affect human employment. With many industries looking to automate certain jobs through the use of intelligent machinery, there is a concern that people would be pushed out of the workforce. Self-driving cars may remove the need for taxis and car-share programs, while manufacturers may easily replace human labor with machines, making people's skills more obsolete.

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Artificial Intelligence (AI) Definition

Artificial intelligence, or AI, often brings to mind hospitality robots and self-driving cars -- the shiny, flashy machines effortlessly performing everyday tasks with superhuman speed and efficiency. Yet, peek under the hood, and youll find the real magic. Its here that AI has a different meaning as the DNA of data that fills in the gaps.

The sentient pieces of metal might dominate popular imagination, but in todays world, AI is more likely to be an obscured yet essential building block of any business. Most organizations understand the importance of using data to reduce costs and serve clients and customers effectively, but what happens when the data is too voluminous to understand? AI steps in to help turn what would otherwise be an unconnected rabble of data into meaningful insights into every facet of the business.

From computer code to big data to AI to business results

Ideas for computer code existed in the human mind for hundreds of years. But it wasnt until the 20th century that hardware caught up, allowing a spate of programming languages to manipulate the new machines and create the big data condition that is the modern world.

Weve recently reached a point where our devices generate mind-blowing amounts of data. According to a recent Forbes article, the amount of newly created data in 2020 was predicted to reach 35 zettabytes (or 35 trillion gigabytes). Two years ago, we were at 33 zettabytes, leading IDC to predict that in 2025, 175 zettabytes (or 175 trillion gigabytes) of new data will be created worldwide. Its far too much for any human worker or team of workers to process. Instead, organizations rely on artificial intelligence to aggregate, analyze and assess data -- something that happens across industries.

Banking, for example, benefits from AI tremendously. At HDFC Bank in India, machine learning, a subset of AI, analyzes demographic, geographic and other data for thin loan applications. This enables the banks human analysts to quickly identify the best applicants and manage the companys risk.

In content management, AI has dozens of use cases, assisting departments seemingly as different as marketing, editorial and enterprise search. Finding, reading and recommending articles is an age-old process of getting the news that today owes itself to the collaboration of custom-built AI algorithms and teams of up to 20 employees.

Data is the foundation, and AI is the DNA

For all its power, AI is nothing without data. An algorithms ability to locate patterns and offer suggestions is contingent on whatever it can draw from raw data. Yet, as data proliferates, it runs the risk of becoming chaotic and unruly. Data today isnt just strings of numbers, letters and symbols. It could be thousands of characters representing human-based speech. So, how does one make sense of it all?

Natural language processing (NLP), a subfield of computer science that relies heavily on machine learning, works at the nexus of computers and natural language. Its one example of a cognitive technology that can quickly analyze large, unstructured data sets -- such as medical data, contracts and legal literature -- to elicit trends and discover solutions to complex problems. Its a time-consuming task that a human would struggle to complete, but it can now be done in seconds.

Another example is translation. A person starting from scratch might spend years (if not a lifetime) learning to translate a piece of work from English to Japanese. A machine learning-based algorithm can now do it instantaneously as you type.

Its in these ways that AI proves itself as the DNA of data. Data alone cant automatically solve a problem. A database containing every word in every language in the world would be useless without an interpreter to fill in the gaps.

One study showed that object transplanting trips up deep facial recognition AI, concluding that the double-take, an instinctive human gesture that helps us identify when things might not be what they seem, continues to elude smart algorithms. AIs evolution as the DNA of data cannot be dismissed, and sometimes the merger of human and machine is uncanny.

Conclusion

To solve a classic machine learning problem -- correctly identifying handwritten numbers -- Caltech researchers developed an artificial neural network made out of DNA. If we have the capacity to program AI into synthetic biomolecular circuits, companies should be able to use AI to better serve their customers.

By integrating technological back ends with middleware and filling the gaps with AI, applications become flexible, ground-up platforms where this happens. Built with speed and agility, they can cut the number of steps in a process from 20 to four, while evolving with customer demand.

An enterprise corollary concept is an intelligent data hub, a centralized architecture for managing data about various parties, places and things. As the data grows and becomes increasingly complex, the hub keeps them easily relatable with its layer of artificial intelligence, governing them while serving them up to real-time business users.

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Artificial Intelligence: The DNA Of Data That Fills The Gap - Forbes

What do we need to consider about a future where artificial intelligence (AI) and tech have transformed the way we live? That was exactly what we pondered when I recently spoke with Jamie Susskind, barrister, speaker and award-winning author of Future Politics: Living Together in a World Transformed by Tech.

Whats The Impact Of Artificial Intelligence And Technology On Society

Trends That Are Changing Civilization

Technology is changing society. Digitization is challenging the way we live. These changes create conveniences and ways of problem-solving that were never possible before. Along with the positives, there are also challenges that need to be overcome.

Here are three trends that are taking us to a phase of civilization thats quite different than anything thats come before.

1.Increasingly capable systems

We already live in a world where non-human systems can do things that previously only humans could do. In some cases, these non-human systems can do tasks even better than we can. Artificial intelligence can now mimic human speech, translate languages, diagnose cancers, draft legal documents and play games (and even beat human competitors). Were already in a society where systems can accomplish tasks we didnt believe would be possible in our time. The capabilities of non-human systems will continue to expand.

2.Systems become more ubiquitous

This line between online and offline, real space and cyberspace is one that will become less important and less meaningful as time goes on. Systems are becoming more capable and more integrated into the world around us, Susskind explained. It used to be very easy to distinguish between technology and non-technology. Today and increasingly in the future, technology will be dispersed in the world around us in objects and artifacts that we never previously thought of as technology such as smart homes with smart appliances and in public spaces in smart cities dense with sensors.

3.Increasingly quantified society

We generate more data now every couple of hours than we did from the dawn of time to 2003. What that means is that when that data is caught, captured and sorted those who own it and control it have an insight into our lived experience beyond anything that anyone in the past could ever have dreamed of into what we think, what we care about, how we feel, where we go, what we buy, who we speak to, what we say, what we do on any given day, who we associate with. We leave a trail of these things which offers a window into our soul both individually and collectively that dwarfs anything that the philosophers or the kings or the priests of the past could have dreamed of, Susskind explained.

These three trends are accelerating, and it seems highly unlikely that we as humans are going to be unchanged in the way we live together as a result of them. Weve never had to live alongside such powerful non-human systems. Weve never known what its like to be surrounded by technology thats never switched off. Weve never been in a world where our lives are datified to such as extent. In his book, Future Politics, Susskind examines these changes and proposes what we might need to do, theorize and think about regarding these changes as a society.

The Digital is Political

The digital is political. Instead of looking at these technologies as consumers or capitalists we need to look at them as citizens. Those who control and own the most powerful digital systems in the future will increasingly have a great deal of control over the rest of us, Susskind predicts.

Technologies exert power. They contain rules that the rest of us must follow and those who write the rules increasingly have a degree of power.In our society there are two major benefactors of technology and who wield this power: governing bodies that can use technologies and surveillance for enforcement of rules and large corporations, specifically tech companies or companies who use a lot of tech and are increasingly writing the rules we must abide by (think the 280-character limit on Twitter).

By gathering data about our preferences, browsing history and more other people have power over us. They know what makes us tick and they know our carrots and sticks. In the example of Cambridge Analytica and the 2016 U.S. presidential campaign, the company had a couple of thousand data points about 200 million Americans. This enabled them to project an image of a candidate that was tailored to the preferences and prejudices and biases at an individual level.

Bottom line: The more data that is gathered about us, the easier it is for others to persuade, influence and manipulate us. In addition, just knowing that data is being gathered about us is likely to change our behavior. Many people dont understand the level of surveillance thats already going on. As more people become more cognizant of the fact that were always being watched, Susskind believes that people will start changing their behavior. This is a kind of power itself, albeit subtle but important.

Technology Enables Perception Control and Power

We currently rely on third parties to tell us what is going on in the world and those third parties are more often than not mediated by digital technology. When we get our news from a newsfeed were at the mercy of those technologies who decide which very small slice of reality were going to be presented. We must acknowledge that those who own and control the technologies that filter our perception of the world are very, very powerful because they shape our innermost feelings and our soul as well as our collective understanding of what matters.

Power cascades onto other simple political concepts like democracy. How we deliberate online changes the democratic process. There are also questions of freedom. What does it mean to live in a world when rules are set often not by states but private companies and often in ways that arent liberty maximizing?

Thinks about justice. Whats it going to be like living in a world where your access to important things like jobs, insurance or credit might well be mediated by algorithms which are themselves not necessarily as fair as morality or the law would like them to be? As an example, there have been face recognition systems that dont see people of color because they were trained on datasets of white people. Similarly, voice recognition systems can struggle to understand voices with accents. Previously these kinds of problems were seen as engineering problems or corporate problems, but Susskind sees them as political problems.

Call for Clarity

While individuals have the power to improve digital hygiene, one person by their individual actions doesnt have the power to sway these issues. These are problems that can only be solved through collective means and mechanisms. Susskind believes if you want the rules of the game to be changed for everyone, then law, legislation and regulation are the only way to do it.

Its a call to action at a level which will make some people uncomfortable particularly in the United States because some are skeptical about the state trying to correct issues that are thrown up by private ordering but I think is necessary, Susskind shared.

Although some are reticent to trust governments to establish regulations and boundaries for technology, Susskind believes we must have some faith in politics if were going to make sure we dont live in a world where were not fundamentally buffeted around by forces that are effectively invisible and out of our control because they are concentrated in private hands.

Tech companies are led by humans who have the pursuit of profits as a goal in a capitalist society. While there is nothing wrong with that, we designed political systems to hold them to account for when they slip up. Thats precisely why the political steps we take are critical in a world transformed by technology.

For more on AI and technology trends, see Bernard Marrs book Artificial Intelligence in Practice: How 50 Companies Used AI and Machine Learning To Solve Problems and his forthcoming bookTech Trends in Practice: The 25 Technologies That Are Driving The 4ThIndustrial Revolution, which is available to pre-order now.

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Whats The Impact Of Artificial Intelligence And Technology On Society - Forbes

CSS Corp is enabling leading mapping companies to accelerate POI extraction from geotagged images through AI-ML led automation

While navigating using a mobiledevice, we often select a source and a destination that are well-known andfrequently visited places, such as hotels, apartment complexes, touristattractions, corporate offices, etc. In mapping parlance, these places are calledpoints of interest (POI). Most location-based applications and services needaccurate POI data to serve their users effectively. Among several ways tocapture POI data, extracting it from geotagged images is one of the mostpopular. Geotagged images contain geographical metadata like latitude,longitude, and place names, etc.

However,mapping companies often find it challenging to get detailed POI data generated from geotaggedimages accurately. Fierce competition in this field has created a demand forhigh quality and freshness of POI data. It necessitates using efficientprocesses that bring reality to the maps in real-time or as soon as possible.

A leading mapping and location dataplatform provider was under immense pressure to scale their services andcapture the market share rapidly. A critical component of their services was seamlessPOI extraction from field-collected geotagged images while maintaining qualityand accuracy benchmarks. Done manually, this process can be tedious andtime-consuming. CSS Corp was able to support them through rapid deployment oftrained resources at scale, empowered with an assisted automation approach,that accelerated the time-to-market for their services. It leveraged itsproprietary Geo.Intelli system which uses artificial intelligence for automatedextraction of POI data from geotagged images, resulting in faster and efficientprocessing.

Geo.Intelli is a smart GIS system thatautomates the geotag extraction for POI location from images and leverages NLPto check the completeness of POI or address name. Its AI-ML based APIs automaticallyextract the relevant data from images, perform a quality check on images, andreject images that are blurred, non-geocoded, or in invalid format. To ensurehigh accuracy, the system automatically cross-validates the extracted data withreference source data like area, city, latitude, longitude, and ZIP Code. Italso allows for multiple POI addition from a single image.

Certain assisted automation processesin the system leverage agents expertise and oversight to deliver high-qualityresults, for example, automated image analyzer with configurable fieldattributes, automated text extraction for additional information, and automatedtranslation/ transliteration processes.

The system also enhances the teamsproductivity with integrated editingand review workflows and progress dashboards for instant reviews and analytics.Once the system extracts the POI, various users like agents, team lead, and QA canedit, review and perform quality checks within the system as per the workflowsset and see the project performance on customized dashboards. Geo.Intelli givesusers multiple export options to download final POI files in the desiredformat.

The system continuously learnsfrom its data and updates its algorithms to get better with every dataextraction. Today, it can extract English text from images with an accuracy ofover 94%. Speaking of benefits to the client, the ability to make faster decisions on key addressattributes accelerated the teams productivity by 25%. Automated quality checkson key fields safeguarded data quality and reduced editing scope by 60%.Overall, the combination of CSS Corps Geo.Intelli system and a highlyskilled team improved the efficiency of POI processing by 22%, enabling theclient to scale their services faster than the competition.

With location-based services andapplications becoming essential for every aspect of businesses, having completeand accurate real-time data in maps becomes crucial. Stiff competition to thetop is prompting location services providers to look for ways to optimize andaccelerate their processes by leveraging AI and automation. CSS CorpsGeo.Intelli is a GIS automation solution that is designed to enable leadingmapping and location players to uplift their user experience with betternavigation while also creating more business opportunities for them.

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Leveraging artificial intelligence to automate data extraction from geotagged images - Geospatial World

Report Includes: - An overview of the global market of artificial intelligence (AI) and a detailed review of how AI is being applied in fighting Alzheimer disease. - Introduction to Alzheimers and main medical issues.

New York, March 09, 2020 (GLOBE NEWSWIRE) -- Reportlinker.com announces the release of the report "Artificial Intelligence (AI) in Alzheimers Applications" - https://www.reportlinker.com/p05873500/?utm_source=GNW - Description of AI tools applications in the diagnosis, therapy, R&D and health management of Alzheimers - Information on types of complex algorithms developed for Alzheimers - Coverage of major issues related to the utilization of AI for diagnosis and treatment of Alzheimers - A look at the current and emerging trends in AI as it relates to Alzheimers disease - Discussion on recent achievements and innovations within the industry

Summary Artificial intelligence (AI) is a term used to identify a scientific field that covers the creation of machines aimed at reproducing wholly or in part the intelligent behavior of human beings. These machines include computers, sensors, robots, and hypersmart devices.

As shown in the figure below, the ultimate purpose of artificial intelligence is to create smart machines that, through the steps of learning, reasoning, and self-correcting, will eventually be able to make decisions, solve problems, and act as human beings.Read the full report: https://www.reportlinker.com/p05873500/?utm_source=GNW

About ReportlinkerReportLinker is an award-winning market research solution. Reportlinker finds and organizes the latest industry data so you get all the market research you need - instantly, in one place.

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Clare: clare@reportlinker.comUS: (339)-368-6001Intl: +1 339-368-6001

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Artificial Intelligence (AI) in Alzheimers Applications - Yahoo Finance

A Torah scroll. Photo: RabbiSacks.org.

Long before the invention of self-driving cars and robotics, Jews conceived the idea of man-made life.

Artificial intelligence (AI) is becoming so advanced now that it is conceivable that machines could not only replace humans for most jobs, but actually develop intelligence higher than that of humans. Machines will be capable of designing machines.

This development is a danger as great as any challenge we face today. Humans ceding control of life to machines is a threat to all humankind. This is not science fiction; it is real, and it is imminent.

There are currently no global rules on the development of AI, and no ethical standards or restraints. And there is no organized effort or political movement to demand that ethical and moral standards be applied to research in this field.

March 9, 2020 7:35 am

Jewish sources could not have foreseen AI, but they did perceive a level of life between the fully-developed human and the animals the Golem.

There are many different Talmudic and Kabbalistic interpretations of the Golem. One suggests that God created Adam as well as the Golem; another tradition has it that Adam was a Golem before God breathed life into him and gave him a soul. All seem to agree that the Golem represents a being that is limited, unfinished, and incomplete.

In a later incarnation, the Golem takes on an ominous aspect, as it escapes its creator and terrorizes the community. This version inspired writers, including Mary Shelley, who wrote the famous novel Frankenstein.

According to this legend, the Golem is a giant created by a rabbi who inscribed the word EMET (Hebrew for truth) on his forehead, which gave him life. The giant becomes invincible and uncontrollable. In a desperate attempt to restore order, the rabbi finds a way to remove the first letter of the word EMET, leaving the letters MET (death) and the Golem dies.

The point of the story is that once the monster gets out of control, only its creator can find a way to disable it.

In recent history, during the proliferation of nuclear weapons following World War II, when civilization itself was in peril, one of the creators of the nuclear bomb, Robert Oppenheimer, alerted the world to the danger and worked to have its use restricted though the Nuclear Non-Proliferation Treaty. Where is the Robert Oppenheimer of today? Who will disable todays monster about to devour us?

In todays secular society, who will raise the topic of morality and responsibility? Lord Jonathan Sacks, former Chief Rabbi of the UK, reminds us that religion deals with the moral limits of power. Just because we can do something, doesnt mean that we should: We have the power but not the permission; we have the ability but not the right.

In the Garden of Eden, Adam and Eve could partake of absolutely anything except the fruit of one tree, interestingly called the Tree of Knowledge. The modern, scientific mind rejects the idea that any knowledge is off limits, but even in Paradise, there is forbidden fruit.

Paul Socken (PhD, University of Toronto) was on the faculty of the University of Waterloo, Canada for 37 years and is currently Distinguished Professor Emeritus. He is a former Chairman of the Department of French Studies and the author of 10 books. He is also the founder of the Jewish Studies program at Waterloo.

Read more from the original source:
Artificial Intelligence: The Forbidden Fruit of the 21st Century - Algemeiner