AI capabilities are showing up in places you might not expect
"If you are currently in the market for almost any kind of enterprise software, you will almost certainly run across at least one vendor claiming that its product includes artificial intelligence (AI) capabilities," suggests Cynthia Harvey
"Of course, some of these claims are no more than marketing hyperbole, or "AI washing." However, in many cases, software makers truly are integrating new capabilities related to analytics, vision, natural language, or other areas that deserve the AI label..."
More than half of early AI adopters said they have invested more than $20 million on AI technologies and talent during the past year as they seek to harness machine automation to differentiate their services and create new products
"Meanwhile, cybersecurity, AI failures and regulatory uncertainty are complicating future deployments and use cases.
An annual AI adoption survey released this week by business consultant Deloitte also concludes that the early-mover advantage of AI pioneers may be fading as more companies embrace the technology. One reason is that AI deployments are being widely integrated in enterprise applications..."
As AI advances in its mainstream enterprise presence, leaders must look into cloud-based AI and modernized data structure to retain competitiveness
"As businesses use artificial intelligence to respond to the pandemic, 2020 marks the start of a mainstream AI adoption era in the enterprise," opines Roberto Torres
"The technology, in physical and digital form, will couple with human teams to elevate their efficiency, while AI will touch practically every software platform involved in daily work..."
A few years ago, a browser recommendation based on a person's previous search history constituted AI
Business 2 Community
"Today, we are able to harness deep learning, neural networking, speech recognition, natural language programming, cloud computing, big data, and more, to create complex, cognitive systems that not only analyze massive data sets and make predictions, but can act on behalf of humans, and even 'think' as humans do. All this is happening now in an enterprise near you. Hopefully, in yours too.
AI adoption within enterprises tripled in 2019, and, as Gartner's Chris Howard put it, 'If you are a CIO and your organization doesn't use AI, the chances are high that your competitors do and this should be a concern.' While all the stats point to AI happening here and now, that does not necessarily help enterprises decide which AI-driven projects to start, scale up or scrap altogether.
Use our seven-step guide to help you navigate how to get the most business value from your enterprise AI investment..."
Among seasoned adopters, 68% have spent more than $20 million over the past year on AI, according to Deloitte
"Fifty-three percent of enterprises adopting artificial intelligence have spent more than $20 million over the past year on technology and talent, according to a survey by Deloitte,"
reports Larry Dignan in ZDNet
"The State of AI in the Enterprise survey, based on 2,737 information technology and line of business executives, highlights how AI implementations are moving into production at a rapid pace. Deloitte's respondent base included 26% "seasoned adopters," 47% "skilled" adopters and 27% "starters." The respondents were classified based on AI adoption and systems launched into production..."
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