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News » AI stays hot in 2023, tech leaders say

AI stays hot in 2023, tech leaders say

AI stays hot in 2023, tech leaders say

MASSACHUSETTS, UNITED STATES – Artificial intelligence (AI) will continue to grow, expand and be adopted by many firms in 2023, according to leaders of tech firms. 

Online publication Inside Bigdata recently asked executives of tech firms about their projections and predictions about AI for the coming year. 

As AI becomes increasingly important in the lives of everyday people, more people want to know exactly how the models work. This is being driven by internal stakeholders, consumers, and regulators.” said Anupam Datta, Co-Founder, President and Chief Strategist at machine learning firm TruEra. 

Leaders in the tech industry believe that AI will be more widely used in the future. 

“While AI has traditionally been seen as a complicated and challenging innovation, in 2023, artificial intelligence will be spread to a wider user base that includes those without specialized knowledge of AI. This change will put the power in the hands of customers, not just developers. Companies will seek self-service tools to create their own custom machine learning models that examine business-specific attributes,” said Monish Darda, Co-Founder and Chief Technology Officer at software firm Icertis.

Founder and CEO Bikram Singh of AI and data automation firm EZOPS said that it is expected that businesses will have more opportunities to use AI within their organizations. 

“One of the biggest trends that we’re going to see in the AI space in 2023 will be the shift from being an artisanal sport for data scientists and quant-jockey’s, to more of an industrialized, embedded type of construct where actual business users are able to start using and working with algorithms,” Singh said. 

Furthermore, Ryan Welsh, founder and CEO of AI solutions firm Kyndi believes that the AI industry will offer more tools that can be operated directly by business users. Companies have been hiring more and more data scientists and MLEs but net AI adoption in production has not increased at the same rate.

Read more here. 

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