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Increased maturity in the AI, MI and ML platforms will reap rewards because of the collaborative environment they can create, together. How? By evolving data management capabilities, especially analytics, and the ability to make meaningful information out of mountains of data. That is the turning point – and the challenge of Big Data and its integration with intelligence. Some think 2018 will be the year that real Big Data analytic algorithms and applications will emerge and bump up the capabilities of data analysis to the next level. If so, expect a new generation of intelligence to show up in a number of places.
This is significant because, thus far, the lack of potential to monetize these technologies has the business world hesitating to do much investment. However, emerging apps and advancements are being promised for 2018. It is expected that such apps will bring new impetus and incentives to begin integrating them into business applications and stimulate investment.
Such will also be the case for MI, which will benefit from advances in data analytics, AI, and ML. MI will start to see a deeper integration into these same business metrics.
Some numbers point to optimism. In the information technology, telecommunications and consumer technology markets, AI investment will reach $47 billion by the end of 2019, according to forecasts by IDC. Much of the spending is expected to drive changes for better customer experiences. Examples of that are discussed later in this piece.
January 12, 2018 Special Report: 2018 Predictions for AI, MI, ML, Big Data (Part 2)
January 11, 2018 AI to Play Bigger Role in Automated Systems
January 11, 2018 The New Era of Intelligent Hardware: What Stands in the Way?
December 5, 2017 Can Big Data and AI Turn Insights into Understanding?
February 20, 2018 Science Fiction Becoming Science Fact
January 13, 2016 Real-time (big) Data Boosts HetNets
