Remove AI Strategy Remove Data Quality Remove Generative AI
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Why data quality is critical for marketing in the age of GenAI

AI News

Without that, the AI falls flat, leaving marketers grappling with a less-than-magical reality. AI-powered marketing fail Let’s take a closer look at what AI-powered marketing with poor data quality could look like. I’m excited to use the personal shopper AI to give me an experience that’s easy and customised to me.

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How to build a successful AI strategy

IBM Journey to AI blog

By giving machines the growing capacity to learn, reason and make decisions, AI is impacting nearly every industry, from manufacturing to hospitality, healthcare and academia. Without an AI strategy, organizations risk missing out on the benefits AI can offer. What is an AI strategy?

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With generative AI, don’t believe the hype (or the anti-hype)

IBM Journey to AI blog

No technology in human history has seen as much interest in such a short time as generative AI (gen AI). How might generative AI achieve this? The applications of this technology are numerous, but they can generally be described as improving the efficiency of communication between humans and machines.

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AWS’ Generative AI Strategy Starts to Take Shape and Looks a Lot Like Microsoft’s

TheSequence

📝 Editorial: AWS’ Generative AI Strategy Starts to Take Shape and Looks a Lot Like Microsoft’s The AWS re:Invent conference has long been regarded as the premier event of the year for cloud computing. In summary, re:Invent showcased AWS's strength in the generative AI sector.

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AI Bias & Cultural Stereotypes: Effects, Limitations, & Mitigation

Unite.AI

Artificial Intelligence (AI), particularly Generative AI , continues to exceed expectations with its ability to understand and mimic human cognition and intelligence. However, in many cases, the outcomes or predictions of AI systems can reflect various types of AI bias, such as cultural and racial.

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Narrowing the confidence gap for wider AI adoption

AI News

The best way to overcome this hurdle is to go back to data basics. Organisations need to build a strong data governance strategy from the ground up, with rigorous controls that enforce data quality and integrity. The clear takeaway is to offer comprehensive training in quality prompting and other relevant skills.

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Maximizing compliance: Integrating gen AI into the financial regulatory framework

IBM Journey to AI blog

In an era where financial institutions are under increasing scrutiny to comply with Anti-Money Laundering (AML) and Bank Secrecy Act (BSA) regulations, leveraging advanced technologies like generative AI presents a significant opportunity. Addressing transparency and predictability Transparency in AI decision-making is critical.