Trends Identified
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
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
AI Goes From Newbie To Mainstream
“Yeah, yeah, I know — artificial intelligence.” That’s likely the response you’ll get when talking about AI in 2018. With everyone from toddlers to seniors using Alexa, Siri, and customer service chatbots, it’s no wonder AI may soon begin to feel like old news—at least to mainstream users. On the business side, however, so much power remains in AI — in everything from customer service and robotics to analytics and marketing. Companies will continue to use AI to surprise, connect, and communicate with their customers in ways they may not even appreciate or realize. This includes faster, cheaper, and smarter automation of everything from emails and content generation to industrial manufacturing. I believe we are still only at the beginning here, but we have seen the likes of IBM Watson, SAP Leonardo, Salesforce Einstein and other major software companies all launching embedded AI right into their platforms. This is a sign of what is to come.
2016
Top 10 trends for digital transformation in 2018
Forbes
AI Foundation
Interest in AI is growing, as shown by an increase of more than 500% in the number of inquiry calls from Gartner clients about topics related to AI in the past year. 1 A 2017 Gartner survey found that 59% of organizations are still gathering information to build their AI strategies, while the rest have already made progress in piloting or adopting AI solutions. 2 Furthermore, the market indicates strong investment in startups selling AI technologies. Creating systems that learn, adapt and potentially act autonomously will be a major battleground for technology vendors through at least 2020. The ability to use AI to enhance decision making, reinvent business models and ecosystems, and remake the customer experience will drive the payoff for digital initiatives through 2025.
2017
Top 10 Strategic Technology Trends for 2018
Gartner
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
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 Everybody
Cloud-based AI is making the technology cheaper and easier to use.
2018
10 Breakthrough Technologies 2018
MIT Technology Review
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 enablement
Putting AI to work by means of big data and feedback
2018
Corum Top Ten Disruptive Technology Trends 2018
Corum
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