Trends Identified
A Tangled Web
Artificial intelligence “weeds” proliferate, choking off the performance of the internet
2018
The Global Risks Report 2018
World Economic Forum (WEF)
Artificial intelligence (AI) and automation are likely to revolutionize the industrial landscape
Artificial intelligence (AI) and automation are likely to revolutionize the industrial landscape. This unfolding transformation is already leading to faster earnings growth potential at some of the large companies that have invested in developing these new technologies. This likely leads to new opportunities among start-up or smaller firms as these technologies mature.
2018
Eight long-term trends for growth investors
Morgan Stanley
Artificial Intelligence
Artificial intelligence (AI) involves giving machines such traits as reasoning, planning, learning, communication and perception, and the ability to move and manipulate objects. AI is in wide use today: in Apple’s Siri for voice recognition, Google’s text and image search functions, Facebook’s facial recognition capability, NASA’s rovers, and algorithmic stock trading. Currently, however, AI is task-specific. The
next step is for researchers and computer scientists to advance AI so that computers can learn general knowledge that can be used to enable them to work in new situations, or respond better to the user’s contexts and mood. AI innovations are so ware-based, and are being incorporated into personal tools (e.g., smart phones, Google glasses) as new features, often at near-zero incremental cost. AI will make it possible to automate many tasks, greatly improving personal efficiency and productivity.
2013
Metascan 3 emerging technologies
Canada, Policy Horizons Canada
AI is the new UI
Artificial intelligence (AI) is about to become a company’s digital spokesperson. Moving beyond a back-end tool for the enterprise, AI is taking on more sophisticated roles within technology interfaces. From autonomous driving vehicles that use computer vision, to live translations made possible by artificial neural networks, AI is making every interface both simple and smart – and setting a high bar for how future interactions will work. It will act as the face of a company’s digital brand and a key differentiator – and become a core competency demanding of C-level investment and strategy.
2017
Technology vision 2017, amplify you
Accenture
Emergent artificial intelligence
Artificial intelligence (AI) is, in simple terms, the science of doing by computer the things that people can do. Over recent years, AI has advanced significantly: most of us now use smartphones that can recognize human speech, or have travelled through an airport immigration queue using image-recognition technology. Self-driving cars and automated flying drones are now in the testing stage before anticipated widespread use, while for certain learning and memory tasks, machines now outperform humans. Watson, an artificially intelligent computer system, beat the best human candidates at the quiz game Jeopardy. Artificial intelligence, in contrast to normal hardware and software, enables a machine to perceive and respond to its changing environment. Emergent AI takes this a step further, with progress arising from machines that learn automatically by assimilating large volumes of information. An example is NELL, the Never-Ending Language Learning project from Carnegie Mellon University, a computer system that not only reads facts by crawling through hundreds of millions of web pages, but attempts to improve its reading and understanding competence in the process in order to perform better in the future. Like next-generation robotics, improved AI will lead to significant productivity advances as machines take over – and even perform better – at certain tasks than humans. There is substantial evidence that self-driving cars will reduce collisions, and resulting deaths and injuries, from road transport, as machines avoid human errors, lapses in concentration and defects in sight, among other problems. Intelligent machines, having faster access to a much larger store of information, and able to respond without human emotional biases, might also perform better than medical professionals in diagnosing diseases. The Watson system is now being deployed in oncology to assist in diagnosis and personalized, evidence-based treatment options for cancer patients. Long the stuff of dystopian sci-fi nightmares, AI clearly comes with risks – the most obvious being that super-intelligent machines might one day overcome and enslave humans. This risk, while still decades away, is taken increasingly seriously by experts, many of whom signed an open letter coordinated by the Future of Life Institute in January 2015 to direct the future of AI away from potential pitfalls. More prosaically, economic changes prompted by intelligent computers replacing human workers may exacerbate social inequalities and threaten existing jobs. For example, automated drones may replace most human delivery drivers, and self-driven short-hire vehicles could make taxis increasingly redundant.On the other hand, emergent AI may make attributes that are still exclusively human – creativity, emotions, interpersonal relationships – more clearly valued. As machines grow in human intelligence, this technology will increasingly challenge our view of what it means to be human, as well as the risks and benefits posed by the rapidly closing gap between man and machine.
2015
Top 10 emerging technologies of 2015
World Economic Forum (WEF)
Artificial intelligence
Artificial intelligence (AI) seeks to endow machines with reasoning capabilities that may one day surpass those of human beings. While their full impact remains difficult to appraise, intelligent systems are likely to bring considerable productivity gains and lead to irreversible changes in our societies.
2016
OECD Science, Technology and Innovation Outlook 2016
OECD
Fewer, but more productive, workers
Artificial intelligence (AI), sensors, data analytics and robots will drive significant change in many workplaces in Canada and around the world.
These technologies will transform many jobs where a routine physical or mental task is repeated;
AI will increasingly handle the routine, while workers will be free to focus on the exceptions that AI cannot handle. AI and data analytics will also increase productivity and the demand for non-routine and professional skills by reframing the way we design, coordinate, manage, deliver and assess products and services. Sensors will provide workers with a much broader picture of the processes they manage, improving efficiency and client satisfaction. Cheaper, mass-produced robots and autonomous delivery vehicles will change the flow, timing and flexibility of work. Working conditions and on-the-job safety will greatly improve for dangerous professions, largely through the use of sensors, drones and robots in fields such as mining, policing and rescue missions.
2013
Metascan 3 emerging technologies
Canada, Policy Horizons Canada
Reviewing the legality of weapons, means and methods of warfare with autonomous capabilities
Artificial intelligence and robotics have made great strides in the past three decades. One major outcome of innovation in these fields has been the remarkable progress of autonomy in weapon systems and the networks in which they are embedded. The advance of autonomy is a notable technological development in the sense that it fundamentally changes the way the military can field forces and make decisions, lethal or otherwise, on the battlefield. This chapter explores the implications of this development for the conduct of Article 36 reviews.
2017
Article 36 reviews
Stockholm International Peace Research Institute (SIPRI)
Ai in supply chains
Artificial intelligence will help significantly improve the efficiencies of supply chains, reducing waste both in the logistics chain itself, as well as in the nature of goods and services transported. Estimates suggest AI can help increase supply chain efficiencies by around 20-30%, 7 with commensurate effects in particular on the freight, air cargo, and shipping cargo sector.
2018
The bigger picture- The impact of automation, AI, shared economy on oil demand
The 2° Investing Initiative
Machine intelligence - Technology mimics human cognition to create value
Artificial intelligence´s rapid evolution has given rise to myriad distinct— yet often misunderstood—AI capabilities such as machine learning, deep learning, cognitive analytics, robotics process automation (RPA), and bots, among others. Collectively, these and other tools constitute machine intelligence: algorithmic capabilities that can augment employee performance, automate increasingly complex workloads, and develop “cognitive agents” that simulate both human thinking and engagement. Machine intelligence represents the next chapter in the advanced analytics journey.
2017
Tech trends 2017 - the kinetic enterprise
Deloitte