Manasi Vartak is founder and CEO of Verta, a Palo Alto-based provider of solutions for Operational AI and ML Model Management. AI continues to transform our world as companies look to win over consumers with intelligent experiences delivered in real time on smartphones, smart TVs, smart cars--smart everything. But along with new opportunities, organizations are also finding new challenges as they seek to cross the AI chasm. Here are the top six AI/ML trends that I'll be tracking in the year ahead, along with recommendations for how enterprises can stay ahead of each trend. A recent study by our company's research group, Verta Insights, found that more than two-thirds of ML practitioners expect real-time use cases to increase significantly over the next three years.

PALO ALTO, Calif., Sept. 13, 2022 -- Verta Inc., a leading provider of enterprise model management and operational artificial intelligence (AI) solutions, today released findings from the 2022 State of Machine Learning Operations study, which surveyed more than 200 machine learning (ML) practitioners about their use of AI and ML models to drive business success. The study was conducted by Verta Insights, the research practice of Verta Inc., and found that although companies across industries are poised to significantly increase their use of real-time AI within the next three years, fewer than half have actually adopted the tools needed to manage the anticipated expansion. In fact, 45% of the survey respondents reported that their company reported having a data or AI/ML platform team in place to support getting models into production, and just 46% have an MLOps platform in place to facilitate collaboration across stakeholders in the ML lifecycle, suggesting that the majority of companies are unprepared to handle the anticipated increase in real-time use cases. The survey also revealed that just over half (54%) of applied machine learning models deployed today enable real-time or low-latency use cases or applications, versus 46% that enable batch or analytical applications. However, real-time use cases are set for a sharp increase, according to the study.

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Artificial Intelligence has the potential to be become as embedded into everything that we do, just like the Internet. It is scaling rapidly and solving many problems and in future will change the very way we lead lives or conduct business. Most executives consider AI as a disruptive technology which will make or break their business, employees think of it as a job destroyer, consultants position it as a solution to everything and media delivers AI as the hype of the millennium. While there is an element of truth and myth in each, the observed reality is that productization of AI on the ground is extremely hard, rudimentary use cases have been addressed and barriers to go mainstream are several. Outside the Silicon Valley, even the most aggressive use cases of AI i.e., retail, banking, telecom etc. are still in their early stages.