AUTOMATED KNOWLEDGE IN 2020: WHAT TO EXPECT FROM AI & MACHINE LEARNING

The year 2019 will be remembered in the software world as the year when containerization, cloud native architectures, and Machine Learning broke out into the mainstream. 

 
As we approach the end of the decade, it’s time to look forward to the year 2020 and make some predictions about where these disruptive technologies will take us in the next 12 months. Read on to see what we can expect from Artificial Intelligence (AI) and Machine Learning in terms of growth, innovation and adoption as a new decade begins.

 
SHIFTING FROM ADOPTION TO AUTOMATION

Marc Andreessen famously said that “Software is eating the world,” and these days it seems like every organization is becoming a software company at its core. The year 2020 will, of course, bring about new trends in technology, and failure to adapt means increased technology debt for enterprises. This debt will eventually have to be repaid with compound interest. Therefore, rather than growth in tech adoption this year, we may expect to see a shift in tech spending. Enterprise budgets will continue to move from IT to the business side of the house, with far more funding for initiatives that increase revenue as business value replaces velocity as the most meaningful DevOps metric.

The focus of software development and information tech spending will be on the implementation of Artificial Intelligence. One of the major themes of 2020 will be the automation of existing technologies. AI-based products like Tamr, Paxata and Informatica CLAIRE that automatically detect and fix outlier values, duplicate records and other flaws, will continue to gain acceptance as the only way to cope with cleansing Big Data and maintaining quality at scale.

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