Works for Business™

“My business doesn’t need
the internet. It’s a bookstore.”

– Anonymous, 1994

Don’t miss out on the
next tech revolution.

We can help you prepare
for 5G-enabled IoT.

Top 50 Artificial Intelligence CEOs of 2020

Logo Ai

Digital Magazine

Emilio Billi, Founder & CTO

Emilio Billi, Founder & CTO

A3Cube

A3Cube turns your time, your data and your infrastructure into value.

Luis Dussan Founder & CEO

Luis Dussan Founder & CEO

AEye

AEye develops advanced vision hardware, software and algorithms that act as the eyes and visual cortex of autonomous vehicles.

Steve Gu Cofounder & CEO

Steve Gu Cofounder & CEO

AiFi

AiFi is an AI technology company automating the world’s stores for retailers and brands of all sizes, from small footprint pop-up stores to supermarkets.

Jack Kokko CEO and Founder

Jack Kokko CEO and Founder

AlphaSense

AlphaSense is an AI-powered business insights platform that is transforming the way companies uncover insights and make critical decisions.

Kabir Shahani, CEO

Kabir Shahani, CEO

Amperity

Amperity, the leading Customer Data and Identity Platform, helps the world’s most loved brands take control of their customer data.

Fabien Beckers Co-Founder & CEO

Fabien Beckers Co-Founder & CEO

Arterys

Arterys’ mission is to radically transform the world of medical imaging via high performance cloud computation.

Abraham Heifets CEO & Co-Founder

Abraham Heifets CEO & Co-Founder

Atomwise

Atomwise develops artificial intelligence systems using powerful deep learning algorithms and supercomputers for drug discovery.

Tom Wagner,  CEO

Tom Wagner, CEO

Berkshire Grey

Game-changing solutions that combine AI and Robotics to automate omni-channel fulfillment for retailers, eCommerce, and logistics enterprises serving today’s connected consumers.

Amar Hanspal, CEO

Amar Hanspal, CEO

Bright Machines

Bright Machines brings together flexible factory robots with intelligent software, production data and machine learning.

Jake Heller Co-Founder & CEO

Jake Heller Co-Founder & CEO

Casetext

Casetext is an AI legal research technology for litigators, helping researchers find cases.

Matthew Zeiler  Founder & CEO

Matthew Zeiler Founder & CEO

Clarifai

Leading artificial intelligence company that excels in visual recognition to help solve real world problems.

Akshay Sabhikhi, CEO

Akshay Sabhikhi, CEO

CognitiveScale

CognitiveScale is a provider of enterprise Cognitive Cloud™ software, a new class of big data interpretation and machine learning systems, which accelerate decision making, enhance customer engagement and improve employee productivity.

Eyal Golan Co-founder & CEO

Eyal Golan Co-founder & CEO

CORAL Detection Systems

Coral Detection Systems is an AI-based drowning detection system for residential swimming pools.

Nicole Eagan, CEO

Nicole Eagan, CEO

Darktrace

Darktrace is an artificial intelligence company for cyber security.

Florian Douetteau Co-Founder & CEO

Florian Douetteau Co-Founder & CEO

Dataiku

Dataiku develops Data Science Studio, the tool that lets data scientists and analysts do machine learning on any (dirty) data.

Ted Bailey,  CEO

Ted Bailey, CEO

Dataminr

A mission-driven company committed to the power of AI, public data, and real-time information as a force for good in the world.

Jeremy Achin, CEO

Jeremy Achin, CEO

DataRobot

DataRobot is the leader in enterprise AI, delivering trusted AI technology and ROI enablement services to global enterprises competing in today’s Intelligence Revolution.

Jaroslaw Kutylowski  Co-Founder and CEO

Jaroslaw Kutylowski Co-Founder and CEO

DeepL

DeepL is a deep learning company that develops AI systems for languages and communication.

Daniela Braga  Founder & CEO

Daniela Braga Founder & CEO

DefinedCrowd

DefinedCrowd develops a Crowd-as-a-Service intelligent data platform intended to accelerate enterprise data training and modeling.

Jean-Francois Gagne Founder & CEO

Jean-Francois Gagne Founder & CEO

Element AI

Element AI is an artificial intelligence company that gives organizations unparalleled access to cutting-edge technology.

Hossein Rahnama, Founder

Hossein Rahnama, Founder

Flybits

Flybits creates value for customers by enabling micro-personalized experiences, powered by contextual intelligence.

Timothy Bean Founder & CEO

Timothy Bean Founder & CEO

Fortem Technologies

Fortem Technologies is a privately held, venture backed company that delivers ultra small C-SWAP radar to enable the autonomous revolution.

Gabriel Otte Co-Founder and CEO

Gabriel Otte Co-Founder and CEO

Freenome

Freenome is a platform that helps design healthy conditions for an individual based on his/her cell-free genome

Scott Voigt Co-Founder & CEO

Scott Voigt Co-Founder & CEO

FullStory

FullStory is a customer experience data app that captures all customer experience data in one powerful and easy-to-use platform.

Nigel Toon Co-founder & CEO

Nigel Toon Co-founder & CEO

Graphcore

Graphcore is a semiconductor company that develops accelerators for AI and machine learning.

Sri Satish Ambati CEO & Co-founder

Sri Satish Ambati CEO & Co-founder

H2O.ai

H2O.ai is the open source leader in AI and automatic machine learning with Driverless AI.

Kai Yu Founder & CEO

Kai Yu Founder & CEO

Horizon Robotics

Horizon Robotics develops artificial intelligence chips for robots.

Peter Brodsky CEO & Co-Founder

Peter Brodsky CEO & Co-Founder

HyperScience

HyperScience’s proprietary machine learning solution extracts and transcribes handwritten, cursive script, and machine printed text with up to 95% automation and over 99.5% accuracy, helping enterprises reduce costs, streamline operations, and drive new business and revenue opportunities.

Yoram Kraus Founder & CEO

Yoram Kraus Founder & CEO

infiBond

Infi’s technology enables machines to process emotion and replicate the psychological functioning of the human brain.

Paula Adriao, CEO

Paula Adriao, CEO

K1 Digital

K1 Digital supports organizations in their digital transformation journey by building solutions with the use of intelligent technologies and integrating them into business processes.

Andreas Kunze CEO and Founder

Andreas Kunze CEO and Founder

Konux

KONUX integrates smart sensor systems and artificial intelligence to maximize asset performance.

Jan Erik Solem Co-Founder, CEO

Jan Erik Solem Co-Founder, CEO

Mapillary

Mapillary is the street-level imagery platform that scales and automates mapping using collaboration, cameras, and computer vision.

Sujai Hajela Co-founder & CEO

Sujai Hajela Co-founder & CEO

Mist Systems

Mist built the first wireless platform for the Smart Device era.

Massimiliano Versace CEO, President & Co-Founder

Massimiliano Versace CEO, President & Co-Founder

Neurala

Neurala is the deep learning neural network software company behind The Neurala Brain.

Stephen Pratt,  CEO

Stephen Pratt, CEO

Noodle.ai

Noodle.ai offers pioneering business solutions in Enterprise Artificial Intelligence.

Husayn Kassai Co-Founder & CEO

Husayn Kassai Co-Founder & CEO

Onfido

Onfido’s AI-based identity verification assesses whether a user’s ID is genuine, then compares it against their facial biometrics.

Olcan Sercinoglu Co-Founder and CEO

Olcan Sercinoglu Co-Founder and CEO

Scaled Inference

Scaled Inference is a U.S.-based company that operates in stealth mode and offers artificial intelligence as a cloud service.

Adam Odessky Co-Founder and CEO

Adam Odessky Co-Founder and CEO

Sensely

Sensely’s platform leverages natural user interfaces to intelligently connect insurance plan members with advice and services.

Li Xu  CEO

Li Xu CEO

SenseTime

SenseTime is an artificial intelligence company that focuses on innovative computer vision and deep learning technologies.

Shiran Weitzman Co-Founder & CEO

Shiran Weitzman Co-Founder & CEO

Shield.

A cross-regulation AI powered compliance platform that provides a​ 360 view on eComms, trade & financial data ​

Jeremy Jawish Co-Founder and CEO

Jeremy Jawish Co-Founder and CEO

Shift Technology

Shift Technology leverages the best of data science to automatically detect networks of fraudsters in insurance.

Rajesh Ramanand Co-Founder & CEO

Rajesh Ramanand Co-Founder & CEO

Signifyd

Signifyd is a SaaS-based, enterprise-grade fraud technology solution for e-commerce stores.

Keyvan Mohajer Founder & CEO

Keyvan Mohajer Founder & CEO

SoundHound

SoundHound Inc. is the innovator in voice-enabled AI and conversational intelligence technologies.

Andy Palmer Co-Founder and CEO

Andy Palmer Co-Founder and CEO

Tamr

Tamr is an enterprise data unification company that is cost-effective, scalable, and accessible to any enterprise.

Kieran Snyder Co-Founder & CEO

Kieran Snyder Co-Founder & CEO

Textio

Textio is augmented writing for real business results.

Daniel Dines Co-founder & CEO

Daniel Dines Co-founder & CEO

UiPath

UiPath designs and develops robotic process automation and artificial intelligence software.

Oliver Tan  CEO & Co-Founder

Oliver Tan CEO & Co-Founder

ViSenze

ViSenze simplifies the visual web through artificial intelligence.

Chris Mansi  Co-founder & CEO

Chris Mansi Co-founder & CEO

Viz.ai

Viz.ai, Inc is emerging as the leader in applied artificial intelligence in healthcare.

Dennis R. Mortensen CEO & Founder

Dennis R. Mortensen CEO & Founder

x.ai

x.ai is an artificial intelligence driven personal assistant who schedules meetings for you.

Joshua Hoffman Co-Founder and CEO

Joshua Hoffman Co-Founder and CEO

Zymergen

Wisesight is a state of the art parking supervision technology that make the parking procedure easy.

The skills required to develop AI

The skills required to develop AI

There is no dearth of jobs for qualified people in the market. Especially, if you have the knowledge and desire to make a significant difference in the market. Technologies like Machine Learning (ML) and Artificial Intelligence (AI) have already established the foothold in the market. Both of these technologies have the power to reform the way businesses operate. The communication and human interaction to accomplish complex tasks are also evolved. As the business application of AI and MI is constantly increasing, the requirement of qualified people to handle the workload is also increasing. Everybody is willing to take their career to the next level with these innovations. It is true that there are ample opportunities for qualified people, but simultaneously you should also have the extra-ordinary capabilities to take the challenges as programmers to make a smooth and natural transition whenever and where required. Now, to sail across smoothly, you must look at the following:

1.Powerful mathematical and algorithms knowledge

Narrow Artificial Intelligence and its scopes

Narrow Artificial Intelligence and its scopes

An ability to adapt to machine and learning to a machine is Artificial Intelligence, as described in brief. But artificial intelligence is more than we know and perceived to be. There are 3 types of artificial intelligence. Let’s look at the first type of AI and broaden our knowledge about narrow artificial intelligence: Artificial Narrow Intelligence (ANI) Artificial Intelligence proved that technology could imitate the human brain and actions. Narrow artificial Intelligence or narrow AI is a specific technology that it can imitate the human action to accomplish a task, which is narrowly defined. These actions, for example, include speech recognition and voice assistants. It would be good to know that narrow artificial intelligence has cognitive abilities and emphasize a single subset of this ability, where there is a further scope to make a few advancements in this area. An ability to adapt to machine and learning to a machine is Artificial Intelligence, as described in brief. But artificial intelligence is more than we know and perceived to be. There are 3 types of artificial intelligence. Let’s look at the first type of AI and broaden our knowledge about narrow artificial intelligence:

Infrastructure requirements for Artificial Intelligence

Infrastructure requirements for Artificial Intelligence

Over the years as AI is developing and reforming, various businesses and IT decision makers are making significant investment on technologies powered by AI. As artificial intelligence has the capability to change everything within the organization and refine the way people work, it is extremely important to gain the control over the macro and micro level of your business and organization. With the change of artificial intelligence is changing keeping an eye on the way your business functions become crucial, as every moment your changes are refined, and you have fresh requirements. This is just a piloting and beginning phase of AI and the power and the impact are already felt around. As slowly the artificial intelligence would be moving forward, we are expected to see much greater and wider changes around. What does AI require to improve? As more and more people would experiment to improve the prospect of AI, there will be significant requirement for computing resources and infrastructure costs. When there is a tremendous impact of AI around us, there is a requirement to find a cost-effective environment to run the extensive processes. Every business needs to adapt to these changes and be flexible enough to welcome new infrastructure.

Artificial Super Intelligence

Artificial Super Intelligence (ASI) and its scopes

Artificial Super Intelligence or ASI is that branch of artificial intelligence that has the capability to perform the tasks that are impossible for the human mind to think or do. It is that aspect of intelligence that is more potent and refined than a human’s intelligence. Human’s intelligence can develop effectively and can adapt to changes faster. Superintelligence is capable of outperforming human intelligence; it is extremely powerful in doing that. Superintelligence is twice as powerful as human brains to conceptualize or idealize. The human brain is made of neurons and is limited to some billion neurons. Superintelligence, therefore, challenges this trait, which knows no limit. Ever since 1970, when the term Artificial superintelligence was introduced, it has been referring to the capabilities of the computer that can outperform or even challenge the possibilities of the human mind. The technology undoubtedly imitates the human mind and action, but extensively challenges human brains and even surpass human ability. Artificial superintelligence goes further beyond and conceives a world of computer’s cognitive ability, which is much superior to human actions. The researchers around the world are working towards developing Artificial Intelligence.

artificial general intelligence

Artificial General Intelligence and its scopes

Artificial General Intelligence (AGI) is far more advanced and improved over Artificial Narrow Intelligence. It is applicable to general-purpose only. It can smartly and efficiently be applied to do variety of tasks; simultaneously learn and improve itself. As compared to the human brain or human intellect, AGI is similar and can function productively without any errors. Things that Artificial Narrow Intelligence could not do, Artificial General Intelligence can learn and improve to efficiently perform various tasks. To link to the context that what AGI empowered application can do is that the intelligence of AlphaGo can be applied in various other areas apart from its main function to be able to play Go. Research is being carried out to explore the possibilities of Artificial General Intelligence. Programmed to perform any task that a human is capable of, Artificial General Intelligence can imitate the cognitive abilities of humankind. AGI can find out a solution if faced with some task, which is hard to comprehend. The applications with Artificial General Intelligence software in-built are empowered to work effortlessly up on a single command.

Cyber Security Analytics

Are AI Clusters a key to overcoming the UK productivity gap?

The UK has a well-documented decades-long 20% labour productivity gap with the US, Germany and France. With Brexit potentially creating extra challenges in overcoming this competitive disadvantage, the UK could fall even further behind. But if you are an optimist it could also be a moment for the UK to take a giant leap forward as it has done in the past when confronted with no other choice. Britain has been very good at doing this recently but it could be even better and Brexit could galvanise a new era of even more productive collaboration between public institutions and private business. There are many sectors of the UK economy that have bright sparks of world class performance but McKinsey Global Institute Productivity research shows very clearly they are held back by vexing bottlenecks. We believe this can be overcome. We decided to begin working to advance some already very strong work on creating industry clusters. We decided to begin working to advance some already very strong work on creating industry clusters.  We could have chosen any one of many industry sectors to provide a foundation for our thinking but as it happens we already have a cluster of knowledge, connections and momentum in the AI space,

Technology Trends That Will Dominate 2018

Technology Trends That Will Dominate

AI permeation. Artificial intelligence (AI), largely manifesting through machine learning algorithms, isn’t just getting better. It isn’t just getting more funding. It’s being incorporated into a more diverse range of applications. Rather than focusing on one goal, like mastering a game or communicating with humans, AI is starting to make an appearance in almost every new platform, app, or device, and that trend is only going to accelerate in 2018. We’re not at techno-pocalypse levels (and AI may never be sophisticated enough for us to reach that point), but by the end of 2018, AI will become even more of a mainstay in all forms of technology. Digital centralization. Over the past decade, we’ve seen the debut of many different types of devices, including smartphones, tablets, smart TVs, and dozens of other “smart” appliances. We’ve also come to rely on lots of individual apps in our daily lives, including those for navigation to even changing the temperature of our house. Consumers are craving centralization; a convenient way to manage everything from as few devices and central locations as possible. Smart speakers are a good step in the right direction, but 2018 may influence the rise of something even better.

Evolving To Emotionally Intelligent Applications

AI Expo: Evolving to emotionally intelligent applications

Speaking at AI Expo in Amsterdam, BPU Holdings CTO Carlos Art Nevarez believes it’s time for machines to become emotionally intelligent. Machines are becoming increasingly smart thanks to artificial intelligence, but they still remain cold, logical, and lacking emotion. Worse still, they have a bias problem. “We are teaching the machine to synthetically emulate emotional intelligence to better relate to how you and I feel,” states Nevarez. “So many exciting applications present themselves to enhance healthcare analytics, market assessment, consumer and voter sentiment, and delivering customised content in the Internet of Things.” Nevarez recounted a time he was out with his son and they saw a person fall. His son laughed, but – when Nevarez explained the person could be hurt – his son became empathetic. Over time, his son recognised when to show empathy. AI learns from patterns, and Nevarez believes – much like his son – they can be taught with empathetic values. “Teaching a machine to feel, is just as important as teaching a machine to think,” says Nevarez. “Or we end up with a world heavily-biased by the engineers that program those AIs.”

Consumers Want Businesses To Have More Human-Like AI

Consumers want businesses to have more human-like AI

Research has found most consumers have interacted with AI and would prioritise businesses with human-like implementations. The research, from Capgemini’s Digital Transformation Institute, found close to three-quarters (73 percent) of consumers have interacted via AI. Satisfaction with those who have experienced AI interactions is slightly lower, at 69 percent. Over two-thirds satisfaction is quite surprisingly high, especially when you consider how dissatisfied people typically are with traditional automated systems. Just over half (55%) of consumers across all age groups want interactions to be a mix of AI and humans, while 64 percent want AIs to be more ‘human-like’ rather than ‘human-looking’. Interestingly, the fear surrounding AI intellect – likely instilled through sci-fi movies such as Terminator – appears to be decreasing. More than three in five consumers (62%) are now comfortable with an AI featuring human-like intellect.

Where an AI has the desired human-like qualities, almost half (48%) say they feel more goodwill towards a company and would have a greater propensity to spend.

Can India Become An AI Hub For The Developing World

Can India become an AI hub for the developing world?

A recent report on artificial intelligence (AI) by an Indian government think tank foresees the country as an AI hub for the developing world. Research analyst Shashank Reddy writes about the possibility of that happening. India is the latest country to join the race to lead the AI revolution, which is still in the making. The world’s richest – and most powerful – countries have long been in this competition. It cuts across all spheres of national power, from the economy to the military, because the idea is that leadership in AI will enable global dominance. The two biggest powers so far have been the United States and China, with each investing heavily in AI and its applications. The report – which has been drafted as a “national strategy on AI” – admits that India lags significantly behind the superpowers in fundamental research and resources. Compared to the United States, it has fewer researchers and only a handful of dedicated laboratories and university departments. Compared to the United States, it has fewer researchers and only a handful of dedicated laboratories and university departments. India also does not have tech giants such as Google and Amazon or behemoths like Baidu and Alibaba – all companies that can afford to invest in cutting-edge research.

AI Robots Will Solve Underwater Infrastructure Damage Checks

AI robots will solve underwater infrastructure damage checks

Robots will be paired with a versatile AI that can quickly adapt to unpredictable conditions when examining underwater infrastructure. Some of a nation’s most vital infrastructure hides beneath the water. The difficulty in accessing most of it, however, makes important damage checks infrequent. Sending humans down requires significant training and can take several weeks to recover due to the often extreme depths. There are far more underwater structures than skilled divers to inspect them. Robots have been designed to carry out some of these dangerous tasks. The problem is until now they’ve lacked the smarts to deal with the unpredictable and rapidly-changing nature of underwater conditions. Researchers from Stevens Institute of Technology are working on algorithms which enable these underwater robots to check and protect infrastructure. Their work is led by Brendan Englot, Professor of Mechanical Engineering at Stevens. “There are so many difficult disturbances pushing the robot around, and there is often very poor visibility, making it hard to give a vehicle underwater the same situational awareness that a person would have just walking around on the ground or being up in the air,” says Englot.

UK And France Announce Measures To Strengthen AI Ties

UK and France announce measures to strengthen AI ties

UK Digital Secretary Matt Hancock is visiting France today where he’s set to announce measures for strengthening AI cooperation between the nations. Speaking to industry leaders around the world, many recognise the UK as a leader in AI research and talent from its class-leading universities. Since 2014, an AI startup has launched every five days on average in the UK. This strength has resulted in significant interest from global technology giants – including Google’s £400 million acquisition of DeepMind, and Facebook’s acquisition of Bloomsbury AI just earlier this week. Digital Secretary Matt Hancock said: “The UK is a digital dynamo, increasingly recognised across the world as a place where ingenuity and innovation can flourish. We are home to four in ten of Europe’s tech businesses worth more than $1 billion and London is the AI capital of Europe.

France is also doing great work in this area, and these new partnerships show the strength and depth of our respective tech industries and are the first stage in us developing a closer working relationship. This will help us better serve our citizens and provide a boost for our digital economies.”

Scientists Pledge Not To Build AIs Which Kill Without Oversight

Scientists pledge not to build AIs which kill without oversight

Thousands of scientists have signed a pledge not to have any role in building AIs which have the ability to kill without human oversight. When many think of AI, they at least give some passing thought of rogue AIs seen in sci-fi movies such as the infamous Skynet in Terminator. In an ideal world, AI would never be used in any military capacity. However, it was almost certainly be developed one way or another because of the advantage it would provide to an adversary without similar capabilities. Russian President Vladimir Putin, when asked his thoughts on AI, recently said: “Whoever becomes the leader in this sphere will become the ruler of the world.” Putin’s words sparked fears of a race in AI development similar to that of the nuclear arms race, and one which could be potentially reckless. Rather than attempting to stop military AI development, a more attainable goal is to at least ensure any AI decision to kill is subject to human oversight. Demis Hassabis at Google DeepMind and Elon Musk from SpaceX are among the more than 2,400 scientists who signed the pledge not to develop AI or robots which kill without human oversight.

China Plans New Era Of Sea Power With Unmanned AI Submarines

China plans new era of sea power with unmanned AI submarines

China is planning to upgrade its naval power with unmanned AI submarines that aim to provide an edge over the fleets of their global counterparts. A report by the South China Post on Sunday revealed Beijing’s plans to build the automated subs by the early 2020s in response to unmanned weapons being developed in the US. The subs will be able to patrol areas in the South China Sea and Pacific Ocean that are home to disputed military bases. While the expected cost of the submarines has not been disclosed, they’re likely to be cheaper than conventional submarines as they do not require life-supporting apparatus for humans. However, without a human crew, they’ll also need to be resilient enough to be at sea without onboard repairs possible. The XLUUVs (Extra-Large Unmanned Underwater Vehicles) are much bigger than current underwater vehicles, will be able to dock as any other conventional submarine, and will carry a large amount of weaponry and equipment.

As a last resort, they could be used in automated ‘suicide’ attacks that scuttle the vessel but causes damage to an enemy’s ship that may or not be manned.

Easy-to-use app marries Boelter's foodservice expertise with the latest in mobile marketing features to drive customer engagement and restaurant traffic. (PRNewsfoto/Boelter)

Apple aims to simplify AI models with CreateML and Core ML 2

During its annual WWDC event, Apple announced the launch of its CreateML tool alongside the sequel of its Core ML framework. CreateML aims to simplify the creation of AI models. In fact, because it’s built in Swift, it’s possible to use drag-and-drop programming interfaces like Xcode Playgrounds to train models. Core ML, Apple’s machine learning framework, was first introduced at WWDC last year. This year, the company has focused on making it leaner and meaner. Apple claims Core ML 2 is 30 percent faster using a technique called batch prediction. Quantization has enabled the framework to shrink models by up to 75 percent. This is how Apple describes Core ML: “Core ML lets you integrate a broad variety of machine learning model types into your app. In addition to supporting extensive deep learning with over 30 layer types, it also supports standard models such as tree ensembles, SVMs, and generalised linear models.

Because it’s built on top of low-level technologies like Metal and Accelerate, Core ML seamlessly takes advantage of the CPU and GPU to provide maximum performance and efficiency.

Google promises its call center AI is not designed to replace humans

Google promises its call center AI is not designed to replace humans

Not content with its impressive(ly creepy) Duplex demo, Google promises it’s not wanting to replace call centers with its latest AI demonstration. During the Google Cloud Next 18 conference, Google Chief AI Scientist Dr. Fei-Fei Li demonstrated a new AI system called Google Contact Center AI which – much like Duplex – sounded incredibly natural in its responses to human queries. Google seems to have learned its lesson from its Duplex demonstration and wanted to iterate that it’s not designed to replace human operators. Instead, the system could be used to replace the current dreaded automated messages you often hear when dialling a call center. “Press 1 for… press 2 for…” just writing it makes me shudder. Contact Center AI could be able to answer some basic questions about the business to provide answers quickly to callers and reduce the waiting times for those needing a human operator. When a human operator is necessary, the system could automatically transfer the caller to the correct department. When a human operator is necessary, the system could automatically transfer the caller to the correct department. “Contact Center AI is an example for our passion for bringing AI to every industry all the while elevating the role of human talent,” Li told the audience.

AI slashes cancer treatment plan creation to mere hours

AI slashes cancer treatment plan creation to ‘mere hours’

Treating cancer is a race against time. Each moment which passes is an opportunity for it to spread and become untreatable. How long it takes for radiation therapy plans to be created today can take days. Individual maps need to be created for each patient to determine where tumours need to be targeted. This lengthy process is frustrating for the patient, their loved ones, and medical professionals who’d love nothing more than to spend time saving lives instead of creating plans. Engineering researcher Aaron Babier and his team have stepped-in with AI-based software to automate the process and cut down how long it takes for a radiation therapy plan to be created from days to hours, potentially even minutes. The team – from the University of Toronto’s Department of Mechanical & Industrial Engineering – also includes Justin Boutilier, Professor Timothy Chan, and Professor Andrea McNiven. Each of the researchers sees radiation therapy design as an optimisation problem. Each of the researchers sees radiation therapy design as an optimisation problem. By analysing historical radiation therapy data, the AI behind the software applied it to an optimisation engine to develop treatment plans.

Powerful Ways To Use Artificial Intelligence In Ecommerce

Powerful Ways To Use Artificial Intelligence In Ecommerce

Amir Konigsberg is the current CEO of Twiggle, a business that enables e-commerce search engines to think the way humans do. Watch any recent interviews with Amir and he will tell you that consumers often abandon e-commerce experiences because the product results displayed are often irrelevant. To tackle this problem, Twiggle utilises natural language processing to narrow, contextualise and ultimately improve search results for online shoppers. Another business that is trying to improve e-commerce search is US-based tech start-up Clarifai. Clarifai’s early work has been focused on the visual elements of search and, as their website states, their software is ‘artificial intelligence with a vision’. They enable developers to build smarter apps that ‘see the world like you do’, empowering businesses to develop a customer-centric experience through advanced image and video recognition.

Leveraging machine learning, the AI software automatically tags, organises and visually searches content by labelling features of the image or video. Read more about their Custom Training, which allows you to build bespoke models where you can teach AI to understand any concept, whether it’s a logo, product, aesthetic, or Pokemon.

10 Ethical Issues Of Artificial Intelligence And Robotics

10 Ethical Issues Of Artificial Intelligence And Robotics

AI and robotics are going to shape our future. Next there are 10 issues that professionals and researchers need to address in order to desing intelligent systems that help humanity. Misinformation and Fake News: The flow of misinformation together with our natural inability of perceiving reality based on evidence (a phenomenon called confirmation bias) is a threat to having an informed democracy. Russian hackers influencing the US elections, Brexit campaign and Catalonia crisis are examples of how social media can massively spread misinformation and fake news. Recent advances in computer vision make possible to completely fake a video of President Obama. It is an open question how institutions are going to address this threat. Job Displacement: The scientific revolution in the 18th century and the industrial revolution in the 19th marked a complete change in society. For thousands of years before it, economic growth was practically negligible. During the 19th and 20th century, the level of society development was remarkable.

In the 19th century there was a group in the UK called the Luddites, that protested against

Artificial Intelligence is Already a Human Rights Issue

Why Artificial Intelligence is Already a Human Rights Issue

The accelerating pace of progress in AI development (driven particularly by the subfield of machine learning) is currently generating a frenzied mix of anxiety and excitement. Public debates between figures such as Elon Musk and Mark Zuckerberg over the threats of ‘superintelligent’ forms of AI have received extensive coverage, while optimists have argued that AI might be directed towards solving pressing global challenges. But these narratives can easily distract from the fact that various AI-related technologies are already in widespread use. Some of these, as Professor Alston’s report highlights, can have distinct implications for human rights today. Analysis of the intersections between human rights and AI-related technologies has been growing across a range of areas. Perhaps the most prominent have been predictions of significantly decreased employment in a various sectors due to automation. The development of lethal autonomous weapons systems (LAWS) has prompted a backlash from campaigners seeking a pre-emptive ban on so-called ‘killer robots’. Researchers have also identified concerns over the privacy impacts of facial recognition software, the risks of discrimination through replication or exacerbation of bias in AI systems, and the effects of some ‘predictive policing’ methods.