AI Strategy Data Quality Generative AI 
AI News
APRIL 4, 2024
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.
Unite.AI
MARCH 10, 2025
Even in a rapidly evolving sector such as Artificial Intelligence (AI), the emergence of DeepSeek has sent shock waves, compelling business leaders to reassess their AI strategies. As the cost of processing power declines, Gen AI adoption will expand beyond text into image, video and audio analysis.
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AI News
DECEMBER 9, 2024
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.
IBM Journey to AI blog
DECEMBER 20, 2023
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?
IBM Journey to AI blog
SEPTEMBER 3, 2024
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.
TheSequence
DECEMBER 3, 2023
📝 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.
Unite.AI
OCTOBER 4, 2023
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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