Tag: machine learning

A group of people engaged at a roundtable discussion.
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Ethical AI: First, do no harm, then do some good (responsibly!)

As varying forms of AI and ML rapidly get adopted across the business world, there needs to be a discussion on the implementation of these tools and ethical AI to be used for good.
Two people working on data tech machine learning tools.
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How do we successfully implement machine learning ops within our data tech stack?

Machine learning is rapidly becoming an essential part of data tech capabilities, but there is still a level of risk involved and no definitive set of rules for introducing these new operations.
how-do-we-implement-machine-learning-ops-within-our-data-tech-stack
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How do we implement machine learning ops within our data tech stack?

Machine learning is rapidly becoming an essential part of data capabilities, but there is still a level of risk involved and no definitive set of rules for introducing these new operations.
newspapers-radio-and-television--an-insight-into-the-impact-of-generative-ai-on-media-businesses
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Newspapers, radio and television – An insight into the impact of generative AI on media businesses

With generative AI paving the way for a new era of data, businesses are rapidly seeking ways to incorporate tools into their operations, DataIQ member News UK delves into their approach.
chatgpt--is-english-the-final-word
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ChatGPT – Is English the final word?

Are tools such as ChatGPT cutting non-English languages out of the AI revolution? As these tools are currently only designed to work in English, do we risk alienating swathes of the global population?
cdo-challenges--the-rise-of-ai-for-data-teams-and-being-ready-for-the-first-step
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CDO Challenges – The rise of AI for data teams and being ready for the first step

It can be very easy for CDOs to be pushed into adopting AI tools because of excited decision makers, but CDOs need to ensure they have thought about how AI can successfully be implemented.
how-well-do-you-need-to-know-your-models--a-dataiq-member-report
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How well do you (need to) know your models? – A DataIQ member report

ML and AI tools have exploded in use for data organisations, but what more can be done to improve quality, compliance and efficiency with the models? DataIQ member Robert Bates, head of decision sciences, Currys, provides expert insight in this report.
laddering-up-to-ai-is-your-business-ready
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Laddering up to AI: Is your business ready?

AI is being adopted rapidly as organisations try to future-proof their business. But in the headlong rush to automate, are there risks in not getting the data basics sorted first? Can a more measured approach deliver better outcomes? Robert Goodwin of Wunderman considers.