Articles about Enterprise AI

New research shows that businesses are increasing their investments in AI across many areas, but there are challenges and risks that they need to manage.

The study of 1,300 tech leaders from Dynatrace shows 98 percent are concerned that generative AI could be susceptible to unintentional bias, error, and misinformation. In addition 95 percent are concerned that using generative AI to create code could result in leakage and improper or illegal use of intellectual property.

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Only 38 percent of executives say their organization has the in-house expertise to adopt generative AI for innovation, according to a new study from the IBM Institute for Business Value.

Generative AI promises to upgrade ecosystem innovation by transforming the entire workflow. A large majority of executives say generative AI will greatly improve ideation (80 percent), discovery (82 percent), collaboration with partners for innovation (77 percent), and innovation execution (74 percent).

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Businesses are keen to capitalize on AI, with 72 percent of business leaders in a new survey believing their competitors are using AI, and 63 percent concerned their competitors will use AI to gain an advantage over their own business.

But the study from SambaNova Systems, of over 2100 enterprise and IT leaders based in the US, UK, and Germany, shows just 18 percent of organizations with AI are rolling it out as a large-scale enterprise-class initiative. The majority -- 82 percent -- are rolling it out as multiple programs, creating disorganization and hindering successful deployment.

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Digital technology company, Kainos, along with award-winning slow news organization, Tortoise, has produced a report looking at how business leaders should respond to challenges around trust in AI.

Through interviews with twenty international AI experts -- from companies including Accenture, The Alan Turing Institute, and UNESCO -- the report identifies three guiding principles to improve trust in AI.

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If the pandemic was a stone, then the wave of digital transformation in its wake is a reverberating echo. 2020 and 2021 saw traditionally slow adopters of new technologies, from the largest financial institutions to local libraries, exploring new ways of providing digital-first experiences in a socially-distanced world. Artificial intelligence was of course decades in the making, but COVID pushed its proliferation to a point that has fully blossomed in the past two years.

Whether you’re a newcomer to the world of AI or its long-term champion, uncertainties both familiar and new continue to impact this ever-shifting landscape. There are, however, a few assurances to count on as AI’s trajectory progresses throughout the year.

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Nothing in our lifetimes has prepared us for what's happening in our world today. We've certainly had our share of major catastrophes in the past 100 years -- both natural and man made -- but nothing matches the impact of the COVID-19 pandemic. We are living in a time when fundamental assumptions about how our societies function are being thrown out and re-written with blinding speed.

The degree of global disruption is unprecedented in scope and scale, and we're still in the early phases. Given the confluence of medical, social, political, and economic factors, we have not yet reached the peak of the impact, and the world we'll inherit as the storm tide recedes will be significantly changed, and changeable. This is not to suggest that "the end is nigh" or that all changes wrought by the pandemic will be bad. But the undeniable truth is that we are experiencing an unexpected and extreme test of our AI technologies and their ability to automate and improve our ability to make good decisions quickly in increasingly complex situations. With respect to AI, we are entering an especially critical phase.

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