“Demand for skills in areas such as AI, robotics, and automation is exploding, with mentions in online job postings growing more than 40% per year. Digital experts ranked learning and training second in importance among dozens of job factors.”
According to 75% of surveyed executives, AI and analytics will help them to achieve stronger data-driven decisions, access deeper insights and move them into new businesses. Almost 85 percent say AI could enable them to gain a competitive advantage.
Artificial Intelligence (AI) and Machine Learning (ML) have been adopted for their automation benefits, from predictive outcomes to advanced data analytics. AI-based cybersecurity can augment the capabilities of IT staff and help organizations deflect cyber threats, according to Frost & Sullivan.
The prescriptive analytics market was valued at $1.96 billion in 2018 and is projected to reach $12.35 billion by 2026, growing at a CAGR of 26.6% from 2019 to 2026. Prescriptive analytics leverages in-depth data mining techniques, which include machine learning.
via Allied Research
“As artificial intelligence, automation, Internet of Things, blockchain, and 5G become pervasive, their combined impact will reshape standard business architectures. The “outside-in” digital transformation of the past decade is giving way to the “inside-out” potential of data exploited with these exponential technologies.”
“A periodic review of the artificial intelligence industry revealed the potential pitfalls of outsourcing our problems for technology to solve rather than addressing the causes, and of allowing outdated predictive modeling to go unchecked.”
via Stanford News
Most companies report measurable benefits from AI where it has been deployed; however, much work remains to scale impact, manage risks, and retrain the workforce. A group of high performers shows the way.