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It is clear and evident that robotics, Machine Learning (ML) and AI is starting to dominate the enterprise, service providers and consumer worlds for decades to come and like industrial revolution in the 50s, we are entering to perhaps another major showdown for use of technology using Artificial Intelligence and Robotics with massive amount of sensors for years to come and I predict number of sensors in entire world economy will exceed 1T by end of 2030 time-frame and this will generate level of innovation and growth in enterprises, consumers and governments which we had not seen except for industrial revolution in 20th century.
World domination of sensors will begin and creates the fastest and best world economy on the planet for decades to come with applications in so many verticals it would be amazing to ride such train to see how the world will change, of course for better and provide massive quality of life for every individual on our planet. In addition, robotics driven by AI will be key drivers on how likely to shape the development of technology in the planning horizon of next 3 years and predicting what can be delivered beyond 2020 is honestly a bit tricky even though I can see the full impact even a century from now but I rather focus on what we have on our hand and get the basics right rather than bunch of ideas that may not end up to deliver the promise of both AI and robotics across the global markets.
In my mind, I can see even 10 verticals that one can drive which will be compensated by both AI and robotics in years to come and simple example of this is smart cars of today to smart interstellar transportation of next century.
These top 10 verticals for next few decades are:
- BIOLOGY & MEDICINE
- BUSINESS & POLITICS
- COMPUTERS & INTERNET
- ENERGY & ENVIRONMENT
- HOME & LESIURE
- NANO-TECHNOLOGY – WEARABLES
- NEW LAWS OF PHSYICS – Grand Unified Theory
- SOCIETY & DEMOGRAPHICS
- SPACE EXPLORATION BEYOND SOLAR SYSTEM
- TRANSPORT AND INFRASTRUCTURE
In my opinion, technological development in artificial intelligence, computer vision, navigation, Sensory Based Technologies, and semiconductor technologies continue to drive innovation in the capability, performance, autonomy, ease of use, and cost-effectiveness of industrial and service robots. The below top 10 predictions and major robotics trends will ultimately set to present both opportunities and challenges to IT leaders during next 3 years. In essence, we are at inflection point of AI and Robotics finally though there are still lot of doubters but I do believe these predictions will come true in very near future.
So, here is my top 10 predictions:
- AI as a Service (AIaaS) – Over the next 3 years, over 50% of commercial service robotics applications will be in the form of a Robotics as a Service business model, reducing costs, improving capability (Automation) and finally enhancing Cycle time (3C Model) for entire robotic deployment and the relationship between educational facilities, government divisions and industry will create what I call axis of innovation which we have never seen before even back in 20th century.
- Chief AI Officer (CAIO) – By 2020, 30% of leading organizations will implement a Chief Robotics Officer (AI Included) role and/or define a robotics-specific function within the business. In addition, and most likely the 3 roles of CIO, CTO and CAIO will be consolidated to one by end of 2020 time-frame.
- Evolving Competitive Landscape (ECL) – By 2020, companies will have a greater choice of vendors, as new players enter the US $28T Information & Communications Technology (ICT) market to support AI, Machine Learning and robotics deployment.
- AI Talent Crunch (AITC) – By 2020, AI, Machine Learning and robotics growth will accelerate the talent race, leaving 40% of robotics-related jobs vacant, while the average salary increases by at least 60% providing much more incentives to get students to pursue higher education and even my dream is to help inner cities and help lowering poverty not only in USA but also across the globe and government will have to play a major role as part of the axis of innovation I alluded above.
- AI Will Face Regulation – By 2020, the Government will begin implementing AI-specific regulations to preserve jobs and to address concerns of security, safety, and privacy. In addition, as we saw in 20th century that the rate of innovation is inversely proportional to rate of innovation and if too much regulation is surrounding this type of technology, I can guarantee innovation will be stifled for decades to come but too much regulation only delays the final and creative ideas to solve many of my top 10 vertical issues but it will not succeed to stop it.
- Software Defined Robot Using AI/ML(SDR) – By 2020, 60% of robots will depend on cloud-based software to define new skills, cognitive capabilities (Including Cognitive Reality playing a major role in Healthcare) and application programs, leading to the formation of a “robotics cloud” marketplace with massive defensive cyber security built into system from day 1 as major customer and business requirements.
- With AI, our words will open a window into our mental health Using Cognitive Reality™ – In 3-5 years, what we say and write will be used as indicators of our mental health and physical well-being. Patterns in our speech and writing analyzed by new cognitive systems – including meaning, syntax and intonation – will provide tell-tale signs of early-stage developmental disorders, mental illness and degenerative neurological diseases to help doctors and patients better predict, monitor and track these conditions. What were once invisible signs will become clear signals of patients’ likelihood of entering a certain mental state, or how well their treatment plan is working, complementing regular clinical visits with daily assessments from the comfort of their homes.
- Hyper-Imaging and AI will give us superhero vision – In five years, new imaging devices using hyper-imaging technology and AI will help us “see” beyond visible light, by combining multiple bands of the electromagnetic spectrum. This will reveal valuable insights or potential dangers that may otherwise be unknown or hidden from view. Most importantly, these devices will be portable, affordable and widely accessible in our daily lives, giving us the ability to perceive or see through objects and opaque environmental conditions anytime, anywhere. A view of invisible, or vaguely visible objects around us, could help make road and traffic conditions clearer for drivers and self-driving cars. For example, by using millimeter wave imaging, a camera and other electromagnetic sensors, hyper-imaging technology could help a vehicle see through fog or rain, detect hazardous and hard-to-see road conditions such as black ice, or tell us if there is some object up ahead – as well as its distance and size. Cognitive computing technologies will reason about this data and recognize what might be a tipped over garbage can versus a deer crossing the road or a pot hole that could result in a flat tire.
- Medical labs “on a chip” will serve as health detectives for tracing disease at the nanoscale – In five years, new medical labs on a chip will serve as nanotechnology health detectives – tracing invisible clues in our bodily fluids and letting us know immediately if we have reason to see a doctor. The goal is to shrink down to a single silicon chip all of the processes necessary to analyze a disease that would normally be carried out in a full-scale biochemistry lab. Lab-on-a-chip technology will eventually be packaged in a handheld device. This will allow people to quickly and regularly measure the presence of biomarkers found in small amounts of bodily fluids – such as saliva, tears, blood and sweat – sending this information securely into the cloud from the comfort of their home. There it will be combined with real-time health data from other IoT-enabled devices, like sleep monitors and smart watches, and analyzed by AI systems for insights. Taken together, this data will give an in-depth view of our health, alerting us to the first signs of trouble – helping to stop disease before it progresses.
- Smart sensors will detect environmental pollution at the speed of light – In five years, new sensing technologies deployed near natural gas extraction wells, around storage facilities, and along distribution pipelines will enable the industry to pinpoint invisible leaks in real-time. Networks of IoT sensors wirelessly connected to the cloud will provide continuous monitoring of natural gas infrastructure, allowing leaks to be found in a matter of minutes instead of weeks, reducing pollution and waste and the likelihood of catastrophic events. IBM is researching silicon photonics – an emerging technology that transfers data by light, for computing literally at the speed of light. These chips could be embedded in a network of sensors on the ground or within infrastructure, or even fly on autonomous drones; generating insights that, combined with real-time wind data, satellite data, and other historical sources, will produce complex environmental models to detect the origin and quantity of pollutants as they occur.
Conclusion:
As stated above, robotics, Sensory, Machine Learning & AI will continue to help accelerate innovation, thus disrupting and changing the paradigm of business operations in many industries. Companies will be forced to look at robotics and AI in far more efficient ways if they like to compete in 21st century economy and become a part of the global eco system. We will finally and mathematically solve so many issues such as Natural Language Understanding and Speech Recognition with near 100 percent accuracy using AI and Machine Learning.
I believe, by 2020, nearly 50% of the 500-leading global e-commerce and omni-channel commerce companies will deploy robotics systems in their order fulfilment warehousing and delivery operations – With a much-publicized example of Amazon Mobile Warehouse system in the sky – Delivering customer packages in minutes versus days or weeks. We have already seen many innovations from Amazon on their future plans already.
Another area is space exploration such as using Cognitive Reality™ which most likely can be used to establish standards of care not only in healthcare but also develop new drugs to help every person on our planet with better quality of life.
