ai misconception
Q&A: Debunking Common AI Misconceptions and What That Means for the Future of DAM - Brandfolder
Yet, many still believe commons myths surrounding AI or are unsure of how AI within a DAM can actually benefit them. In our webinar "Work Smarter, Not Harder" with Forrester Senior Analyst, Nick Barber, we tackled the challenges that marketers and creatives face when it comes to managing thousands of creative assets and how AI can lessen administrative work while providing opportunities for more complex projects. Following the webinar, we asked Nick to address some of the questions we heard from the audience around common AI misconceptions and how more advanced AI within DAMs can offer brand-specific opportunities. Q: Do I really need AI and will it help me with my library of creative assets? Barber: Artificial intelligence offers a lot of promise for companies of all sizes because it can enrich a large library of content where metadata governance has been historically not very good.
Gartner debunks five AI misconceptions - Express Computer
IT and business leaders are often confused about what artificial intelligence (AI) can do for their organisations and are challenged by several AI misconceptions. Gartner has said IT and business leaders developing AI projects must separate reality from myths to devise their future strategies. "With AI technology making its way into the organisation, it is crucial that business and IT leaders fully understand how AI can create value for their business and where its limitations lie. AI technologies can only deliver value if they are part of the organisation's strategy and used in the right way," said Alexander Linden, Research Vice President at Gartner. Gartner has identified five common myths and misconceptions about AI.
Gartner debunks common AI misconceptions
IT and business leaders are often confused about what artificial intelligence (AI) can do for their organisations and are challenged by several AI misconceptions. Gartner says IT and business leaders developing AI projects must separate reality from myths to devise their future strategies. Gartner research VP Alexander Linden says, "With AI technology making its way into the organisation, it is crucial that business and IT leaders fully understand how AI can create value for their business and where its limitations lie. "AI technologies can only deliver value if they are part of the organisation's strategy and used in the right way." Gartner has identified five common myths and misconceptions about AI. Myth No.1: AI works the same way the human brain does AI is a computer engineering discipline. In its current state, it consists of software tools aimed at solving problems. While some forms of AI might give the impression of being clever, it would be unrealistic to think that current AI is similar or equivalent to human intelligence. "Some forms of machine learning (ML) – a category of AI - may have been inspired by the human brain, but they are not equivalent," Linden said. "Image recognition technology, for example, is more accurate than most humans but is of no use when it comes to solving a math problem.
3 AI misconceptions IT leaders must dispel
Artificial intelligence is rapidly changing many aspects of how we work and live. Perhaps your holiday shopping involved some AI algorithms, as well.) But despite the constant flow of news, many misconceptions about AI remain, says Anthony Scriffignano, Ph.D., senior vice president and chief data scientist at Dun & Bradstreet. To properly harness the power of AI, he says, we need to let go of the wrong assumptions we've made about it. Here are three he believes are the biggest.
Analysing – and debunking – three common AI misconceptions
Artificial intelligence (AI) is widely discussed, but narrowly understood. While the majority of businesses are aware of it as a concept, they don't necessarily know exactly how it can help them – and many believe that, by forcing change to existing working models, it may well be a threat. But while this fear is misplaced, it's becoming quite pervasive. It's looking increasingly likely that AI will be as transformative for the business of the future as big data, automation, and the Internet of Things already have been for the business of the present. Research from Forrester indicates that, over the course of 2017, overall investment in the field will rise by 300%.