The present of Artificial Intelligence: Top areas already being disrupted

Artificial Intelligence Top Areas Being Disrupted

“Artificial intelligence is that activity devoted to making machines intelligent, and intelligence is that quality that enables an entity to function appropriately and with foresight in its environment.”

Nils J. Nilsson

Every day, we create 2.5 quintillion bytes of data — so much that 90% of the data in the world today has been created in the last two years alone [1]. This data comes from everywhere: sensors used to gather climate information, posts to social media sites, digital pictures and videos, purchase transaction records, and cell phone GPS signals to name a few. Many have already grown accustomed to touching and talking to their smart phones. Everything we do is generating data like never before, and lots of data is exactly what machines need in order to create patterns and, as a consequence, learn to learn. That is the magic of Artificial Intelligence (AI) nowadays. As  data mining and deep learning develop, people get more excited about its potential to tackle big problems like education or healthcare. Right now data is largely unprocessed, but deep learning could be used to understand patterns and point to solutions.


90% of the data in the world today has been created in the last two years alone


Innovations relying on computer-based vision, speech recognition, and Natural Language Processing have driven these changes, as have concurrent scientific and technological advances in related fields. Computer vision and AI planning, for example, drive the video games that are now a bigger entertainment industry than Hollywood. Deep learning, a form of machine learning based on layered representations of variables referred to as neural networks, has made speech-understanding practical on our phones and in our kitchens, and its algorithms can be applied widely to an array of applications that rely on pattern recognition. Applying Artificial Intelligence’s capabilities to IoT (Internet of Things), Robotics and Big Data are exponentially increasing their potential. Although many verticals in this article have to do with robotics, AI is the core technology behind them.

According to One Hundred Year Study on Artifcial Intelligence (AI100) recently published by Stanford, there are eight domains of special interest:



During the past 5 years, we’ve been more and more exposed to AI applications, especially in the transportation field. Current cars can park themselves, perform adaptive cruise control on highways, steer themselves during stop-and-go traffic, and alert drivers about objects in blind spots during lane changes. In fact, real-time sensing and prediction of traffic, route calculations, peer-to-peer ridesharing and self-driving cars have already been adopted with astonishing speed. Key technology advances such as deep learning have catalyzed the automobiles’ capacity to deeply improve our daily lives.

Interesting startups in this field:


  • Auro Robotics: Driverless Shuttles for in-campus travel. The vehicle is equipped with Lasers, camera, GPS and multiple blind spot detection sensors providing it complete 360 degree vision upto 100 meters in all lighting conditions. The shuttle sensor stack is even capable of detecting people / pets lying flat on the ground.
  • Clearpath Robotics: Clearpath Robotics is a Canadian startup company founded in 2009 by four graduates of the University of Waterloo’s Mechatronics Engineering program.It provides robotic hardware, software and services to enable robot development, deployment and operation for research and industrial environments.
  • Railpod: RailPod provides the inspector with a visual depiction of the track environment supported by quantifiable measurements to enable the inspector to quickly and accurately identify track problems. The inspectors time on the track infrastructure is minimized, providing more efficient revenue operations and minimizing the inspectors exposure to the hazardous environment.
  • Quanergy Systemsthe leading provider of time-of-flight LiDAR sensors and perception software for real-time capture and processing of 3D spatial data and object detection, tracking, identification, and classification. Its solutions are applicable in numerous sectors including transportation, mapping, navigation, surveying, security, aeronautics, mining, agriculture, robotics, industrial automation, smart homes and 3D-aware smart devices for improved safety, efficiency and performance.
  • Precise Robotics: collaborative robot arm and control technology. Collaborative robots are mechanisms that can be safely used without the need for safety barriers. This approach reduces the workcell cost and size and permits users to safely access equipment without stopping or slowing down production.



Truth is that robots have been present at people’s homes since a while ago, mostly for cleaning purposes. However, thanks to a combination of sensor based perceptions, cloud-based machine learning, mechanical improvements and advances in speech understanding, robots are becoming much more. On the other hand, low-cost 3D sensors are making it easier to reduce the price of these service robots, enabling access to a wider market.

Interesting startups in this field:


  • Jibo: a social robot that’s intended to be operated in people’s homes — and comes equipped with facial and voice recognition software plus a camera, microphone and video recording capabilities — presents very obvious privacy challenges.
  • 4moms: 4moms develops robotics technology-based products that cater to the prenatal to preschool needs of children. It has introduced robotics technology to the juvenile industry, creating products that meet parents’ real needs. Its team is comprised on over forty engineers, designers, and developers.
  • Savioke: Savioke provides robots to the services industry, including hotels, elder care, hospitals, restaurants and offices. It autonomously relays items between people. His first application is in the hospitality industry, relaying items from staff to guests.
  • Blue Frog Robotics Buddy: Blue Frog Robotics is a French start-up that has developed Buddy, “The Companion Robot Accessible to Everyone”, co-founded by former CRIIF (Robotics lab) Executive Director Rodolphe Hasselvander.
  • CleverPet: CleverPet was founded by cognitive scientists and neuroscientists who have a love of animals. Their technology helps pets lead happier and healthier lives by automatically teaching and engaging them when you’re gone.



Imagine how AI-based applications could improve health outcomes and quality of life for millions of people in the coming years? This is especially relevant for the growing number of elderly and it highly depends on the trust levels, both from users and doctors. Although the literal “hands-on” experience of the physician will remain critical, there will be surgical robots designed to assist doctors and service robots supporting hospital operations. However, the promising key factor of AI within the healthcare industry relies on analytics and predictions. Mobile apps and other personal monitoring devices are able to collect useful data and detect (in time) possible health risks and predict patients at risk.

Interesting startups in this field:


  • EnliticEnlitic uses recent advances in machine learning to make medical diagnostics faster, more accurate, and more accessible. The company’s mission is to provide the tools that allow physicians to fully utilize the vast stores of medical data collected today, regardless of what form they are in – such as medical images, doctors’ notes, and structured lab tests.
  • AICure: AiCure’s patented artificial intelligence technology visually confirms medication ingestion on any smartphone. Real-time data are centralized for immediate intervention and longitudinal tracking of adherence patterns.
  • iCarbonX: iCarbonX aimed at building a ecosystem of digital life based on the combination of consumers’ big life data, internet and artificial intelligence. The individual health steward, created by the common efforts of artificial intelligence team and top biotechnology,will lead a healthy life through the digital life ecosystem.
  • Med Robotics: Medrobotics Corporation is a medical robotics company developing and commercializing the Flex Robotic System. Medrobotics has exclusive worldwide licenses for its technologies from Carnegie Mellon University and the University of Pittsburgh as well as additional robust development of its own intellectual property portfolio.
  • Scanadu:Founded in Silicon Valley, Scanadu is bringing a suite of health diagnostics products to market that enable consumers to better diagnose many common ailments with the power to monitor and measure their health.



Raise your hand if you have recently completed any Massive Open Online Courses (MOOC)! These online courses, quite common nowadays are not only good for widespread delivery, but also catalyzers for data collection and experimental instrumentation that is currently contributing to scientific findings and improving the quality of learning at scale. Natural Language Processing, machine learning, and crowdsourcing have boosted online learning and enabled teachers to multiply the size of their classrooms while addressing individual students’ learning needs and styles. Adaptive learning and other AI techniques have proved to raise student engagement improving behavior but most importantly outcomes.

Interesting startups in this field:


  • Knewton: Knewton is the world’s leading adaptive learning technology provider with the mission of bringing personalized education to the world. It provides students with tailored recommendations for exactly what to study, teachers with analytics to better support each student, and publishers with content insights to develop more effective digital products.
  • Infantium: Infantium is building the world’s smartest tutor with application in education, using brain science, machine learning and AI.
  • SpeakingPal: SpeakingPal is a mobile education company that focuses on improving English speaking skills. It provides a subscription based service that allows access to all learning content and automatically provided pronunciation feedback services.
  • Indybo: Indybo is a modular robotic toy company that transforms the way kids learn about programming and electronics, in a fun and engaging way. Indybo helps kids develop an intuition for programming at an early age.
  • KinderLab Robotics: KinderLab Robotics emerged from a need to make widely available Marina Umaschi Bers’ research on new technologies for young children at Tufts University. Children build their own robot with KIBO, program it to do what they want, and decorate it – all without a PC, tablet, or smartphone.



Low resource communities not only include the financially disadvantaged but also other minorities that are at risk of exclusion due to health problems, age or even distance to resources. Data mining and machine learning can significantly help governments to create predictive models and address issues ranging from food and water distribution to health prevention. The goal of AI applications must be to create value for society, providing mitigations and solutions to a variety of social problems.

Interesting startups in this field:


  • Infermedica: An artificial intelligence diagnostic engine that can be integrated into 3rd party products or services such as electronic health records or mobile health applications.
  • Aire: Aire is redefining how the market approaches credit scoring with the right moral compass. By harnessing industry expertise, machine learning and an in-depth understanding of the issues facing many people, Aire has created a service that allows businesses to access a new, financially capable population.
  • QMedic: QMedic is a 24/7 proactive medical alert service that intelligently routes and escalates alerts to optimize care management for high-risk patients living at home.



What if our smartwatch could protect us and send us help when needed right where we are? This is a reality. Besides wearables, cameras and drones for surveillance, algorithms to detect financial fraud, and predictive policing are becoming one of the most successful uses of AI analytics. Issues such as white collar crime, credit card fraud and cybersecurity are being fought by machine learning improvements. In addition, AI can help in social network analysis to prevent those at risk from being radicalized violent groups. Twitter and other feeds are being scanned to look for certain types of events and how they may impact security.

Interesting startups in this field:


  • Mr Gabriel: Mr. Gabriel is the first personal virtual bodyguard designed for Smartwatches. It provides relief from critical situations by identifying striking pattern changes and generating geo-tagged alerts to a predefined list of emergency contacts.
  • Cylance: Cylance is the first company to apply artificial intelligence, algorithmic science and machine learning to cyber security and improve the way companies, governments and end users proactively solve the world’s most difficult security problems.
  • Socure: Socure is the leader in digital identity verification. Its technology applies machine-learning techniques with biometrics and trusted online/offline data intelligence from email, phone, IP, social media and the broader Internet to power next-generation multi-factor authentication in real-time.
  • Umbo CV: Umbo CV is an artificial intelligence company developing cloud-first smart security cameras for enterprises. It increases operation efficiency and reduces the cost of ownership for businesses by bringing the entire end-to-end experience from offline to online.
  • Darktrace: Darktrace addresses the challenge of insider threat and advanced cyber-attacks through its unique ability to detect previously unidentified threats in real time, as manifested in the emerging behaviors of the network, devices and individuals.



Despite being an extremely unpopular vertical – no one want to lose their jobs to a machine – AI will forever transform certain kinds of jobs, especially low-value tasks. In fact, AI will likely replace tasks rather than jobs in the near term, and will also create new kinds of jobs. However, it is believed that it will not create more jobs in total leading to problematic judgements that are producing significant social, cultural, and economic impacts in people’s everyday lives.

Interesting startups in this field:


  • DigitalGenius: DigitalGenius brings practical applications of deep learning and artificial intelligence into customer service operations of leading companies. Its “Human+AI” Customer Service Platform combines the best of human and machine intelligence enabling companies to deliver on increasing customer expectations.
  • Connectifier: Connectifier helps recruiters discover, qualify, and connect with exceptional job candidates at roughly twice the rate of other solutions.
  • Automated Insights: Automated Insights is the world leader in producing high-quality content from data. Their technology humanizes Big Data by spotting interesting patterns, trends and key insights and describing those findings in plain English that have the tone and variability of a human writer.
  • SigOpt: SigOpt is the optimization platform that amplifies your research. SigOpt takes any research pipeline and tunes it, right in place.
  • Aviso: Aviso is transforming the way that executives make decisions to manage revenue assets, mitigate risk, and refine forecasts. Aviso’s Total Revenue Intelligence cloud applications use advanced machine learning algorithms and portfolio management frameworks to generate scenarios, predict outcomes, and understand risks.



If you are a fan of the famous TED talks, you’ll enjoy this one, a machine generated talk. Many traditional sources of entertainment have also embraced AI within the fields of music, stage performances, and even 3D generated scenes from natural language text. Is AI technology replacing or enhancing sociability? That’s an interesting debate, especially among children, who sometimes prefer tablets. On the other hand, as you may have noticed with your Facebook feed and similar social platforms, the content we consume is more personalized. In addition, algorithms such as collaborative ltering have been developed, for example, to recommend relevant movies, songs, or articles based on the user’s demographic details and browsing history. Online content is now more interactive, personalized, and engaging.

Interesting startups in this field:


  • SmartNews: SmartNews is the award-winning, news discovery app loved by millions. A machine-learning company deeply committed to helping users discover the most interesting and important stories that matter right now.
  • Anki: Anki is dedicated to bringing artificial intelligence and consumer robotics to our everyday lives. It creates consumer entertainment experiences using technology that was once confined to robotics labs and research institutes.
  • StatMuse: StatMuse is developing an artificial intelligence platform to help sports fans explore data using simple, natural language.
  • MetaMind: Starting with automated image recognition — MetaMind was founded to explore positive and impactful applications for artificial intelligence.
  • ScriptBook: ScriptBook is spearheading the effort to provide film studios, investors & distributors with early analysis and forecasts of the box office potential of film scripts by developing a story-based predictive decision support system.



Startups working on deep learning and artificial intelligence have raised more than $950 million in the past five years [2]. Major research universities devote departments to AI studies, and technology companies such as Apple, Facebook, Google, IBM, and Microsoft spend heavily to explore AI applications they regard as critical to their futures. AlphaGo’s historic victory is a clear signal that we’ve gone from linear to parabolic. Advances in technology are now so visibly exponential in nature that we can expect to see a lot more milestones being crossed long before we would otherwise expect.

Overall, the goal of AI applications must be to create value for society.

In conclusion, in the long term, AI will enable new wealth creation that will require social debate on how the economic results of AI technologies should be shared worldwide.

Sources and references

[1] Bringing data to the enterprise, IBM

[2] everis NEXT 2016

Nils J. Nilsson, The Quest for Artificial Intelligence: A History of Ideas and Achievements (Cambridge, UK: Cambridge University Press, 2010).

everis NEXT

everis NEXT is the innovation area at everis, a multinational consulting firm. everis NEXT builds win-win bridges between startups and corporations through the world’s largest B2B-ICT startup repository. As an Open Innovation platform, it connects 1.9+M startups with both large corporations and influencers. Hundreds of large corporations are using everis NEXT to find trending technologies and work together with startups.

This entry has 2 replies

  1. Matteo Valentini says:

    How did you create that concept map?? Please

    • everis NEXT says:

      Hi Valentina, our former designer @_vduran did it. We are happy to hear you like it. Regards,

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