Forresters Srividya Sridharan looks at how AI is changing and what we can expect in 2021.<\/p>\n
AI is transformational. AI is exciting. AI is mysterious. AI is scary. AI is omnipresent.<\/p>\n
Weve heard this oscillating narrative over the last few years and will continue to in the future, but in this unprecedented year, one thing became clear enterprises need to find a way to safely, creatively and boldly apply AI to emerge stronger both in the short term and in the long term.<\/p>\n
2020 gave leaders the impetus, born out of necessity and confidence, to embrace AI with all its blemishes. The kinks in AI still remain: lack of trust, poor data quality, data paucity for some and a dearth of the right type of tools and talent.<\/p>\n
2021 will see companies and C-level leaders tackle some of these challenges head on, not because they want to but because they have to. Heres why its time for AI to shine.<\/p>\n
In 2021, the grittiest of companies will push AI to new frontiers, such as holographic meetings for remote work and on-demand, personalised manufacturing. They will gamify strategic planning, build simulations in the boardroom and move into intelligent edge experiences.<\/p>\n
Coupled with this, lucky laggards will use no-code automated machine learning to implement five, 50, or 500 AI use cases faster, leapfrogging their competitors with capable, entrenched data science teams that take a traditional, code-first approach to machine learning.<\/p>\n
In 2021, more than a third of companies in adaptive and growth mode will look to AI to help with workplace disruption for both location-based, physical or human-touch workers and knowledge workers working from home.<\/p>\n
This will include applying AI for intelligent document extraction, customer service agent augmentation, return-to-work health tracking or semiautonomous robots for social separation.<\/p>\n
2021 will showcase the good, the bad and the ugly of artificial data, which comes in two forms: synthetic data that allows users to create datasets for training AI, and fake data that does the opposite; it perturbs training data to deliberately throw off AI.<\/p>\n
Companies are also facing increasing pressure from consumer interest groups and regulators to prove datas lineage for AI, including data audit trails to ensure compliance and ethical use.<\/p>\n
In 2021, blockchain and AI will start joining forces more seriously to support data provenance, integrity and usage tracking.<\/p>\n
BySrividya Sridharan<\/p>\n
Srividya Sridharan is a vice-president and research director at Forrester.A version ofthis articleoriginally appeared onthe Forrester blog.<\/p>\n
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3 reasons why 2021 will be AI's time to shine - Siliconrepublic.com<\/a><\/p>\n","protected":false},"excerpt":{"rendered":" Forresters Srividya Sridharan looks at how AI is changing and what we can expect in 2021. AI is transformational. AI is exciting. Continue reading