Trends Identified

AI advances
2017 was the year AI leapt to the forefront of CEO consciousness. 2018 may be the year that the hype starts to become reality. At CEO Daily, we believe the explosion of connected devices spewing out data that can be transformed into intelligence by ever smarter machine-learning algorithms eventually will spark a new industrial revolution.
2018
Five Big Business Trends to Watch in 2018
Fortune
AI advisors & decision-making machines
Example of Organizationsactive in the area: Woebot (US), Pefin (US), LV (UK).
2018
Table of disruptive technologies
Imperial College London
AI and autonomous systems
Learning from data and developing smart algorithms has become a competitive advantage. Executives from all sectors believe that AI and autono­mous systems will affect the entire industry. Investment in AI is at unprecedented levels from both tech firms and traditional manufacturers. Driverless vehicles are AI’s poster child, but industrial companies are also investing in machine learning and robotics to develop specific technologies related to their core businesses.
2018
Disruptive forces in the industrial sectors - Global executive survey
McKinsey
AI and Blockchain to Power Numerous Fintech & Insurance Solutions
2018 is the year the combination of blockchain and AI will impact upon areas outside of banking. Blockchain offers the possibility of carrying out transactions in transparent way, offering a simple platform for solutions outside of banking. These solutions will include: Money transfer and remittance. Insurance powered by smart contracts.
2018
Top Tech trends 2018
Juniper Research
AI board members & politicians
Example of Organizationsactive in the area: Deep Knowledge Ventures (Hong Kong), Tieto (Finland).
2018
Table of disruptive technologies
Imperial College London
AI enablement
Putting AI to work by means of big data and feedback
2018
Corum Top Ten Disruptive Technology Trends 2018
Corum
AI Fact-checking Assistive Technology
AI-based software for fact-checking speeches and discussions in real-time
2017
10 emerging technologies in 2017
South Korea, Korea Institute of S&T Evaluation and Planning (KISTEP)
AI for Everybody
Cloud-based AI is making the technology cheaper and easier to use.
2018
10 Breakthrough Technologies 2018
MIT Technology Review
AI for Molecular Design - Machine-learning algorithms are speeding up the search for novel drugs and materials
Want to design a new material for solar energy, a drug to fight cancer or a compound that stops a virus from attacking a crop? First, you must tackle two challenges: finding the right chemical structure for the substance and determining which chemical reactions will link up the right atoms into the desired molecules or combinations of molecules. Traditionally answers have come from sophisticated guesswork aided by serendipity. The process is extremely time-consuming and involves many failed attempts. A synthesis plan, for instance, can have hundreds of individual steps, many of which will produce undesired side reactions or by-products or simply not work at all. Now, though, artificial intelligence is starting to increase the efficiency of both design and synthesis, making the enterprise faster, easier and cheaper while reducing chemical waste. In AI, machine-learning algorithms analyze all known past experiments that have attempted to discover and synthesize the substances of interest—those that worked and, importantly, those that failed. Based on the patterns they discern, the algorithms predict the structures of potentially useful new molecules and possible ways of manufacturing them. No single machine-learning tool can do all this at the push of a button, but AI technologies are moving rapidly into the real-world design of drug molecules and materials.
2018
Top 10 Emerging Technologies of 2018
Scientific American
AI For The Back Office
There’s a lot of hype around the potential of AI, but one area that is often overlooked is the power of AI to revolutionize workflows. In 2019, we’ll see the start of AI making a noticeable impact on the back office, from increasing electronic operations to streamlining identification and credentialing. These developments have the ability to transform labor-intense processes across industries.
2018
2019 Tech Forecast: 11 Experts Predict The Next Wave Of Breakout Technologies
Forbes