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Generative AI vs. predictive AI: What’s the difference?

IBM Journey to AI blog

Many generative AI tools seem to possess the power of prediction. Conversational AI chatbots like ChatGPT can suggest the next verse in a song or poem. Code completion tools like GitHub Copilot can recommend the next few lines of code. But generative AI is not predictive AI.

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Beyond the Hype: Unveiling the Real Impact of Generative AI in Drug Discovery

Unite.AI

Since Insilico Medicine developed a drug for idiopathic pulmonary fibrosis (IPF) using generative AI, there's been a growing excitement about how this technology could change drug discovery. Traditional methods are slow and expensive , so the idea that AI could speed things up has caught the attention of the pharmaceutical industry.

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Generative AI in the Healthcare Industry Needs a Dose of Explainability

Unite.AI

The remarkable speed at which text-based generative AI tools can complete high-level writing and communication tasks has struck a chord with companies and consumers alike. In this context, explainability refers to the ability to understand any given LLM’s logic pathways.

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AI and Financial Crime Prevention: Why Banks Need a Balanced Approach

Unite.AI

In the US alone, generative AI is expected to accelerate fraud losses to an annual growth rate of 32%, reaching US$40 billion by 2027, according to a recent report by Deloitte. Perhaps, then, the response from banks should be to arm themselves with even better tools, harnessing AI across financial crime prevention.

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Seven Trends to Expect in AI in 2025

Unite.AI

Better Analysis Before Taking the Plunge With more emphasis on improved ROI, businesses will be turning to AI itself to ensure they are spending wisely. One of the biggest problems to date is the haste to jump on the bandwagon especially since the introduction of generative AI and LLMs.

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AI Paves a Bright Future for Banking, but Responsible Development Is King

Unite.AI

For example, AI-driven underwriting tools help banks assess risk in merchant services by analyzing transaction histories and identifying potential red flags, enhancing efficiency and security in the approval process. While AI has made significant strides in fraud prevention, its not without its complexities.

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Western Bias in AI: Why Global Perspectives Are Missing

Unite.AI

Most AI training data comes from urban, well-connected regions in North America and Europe and does not sufficiently include rural areas and developing nations. Economically, neglecting global diversity in AI development can limit innovation and reduce market opportunities. This has severe consequences in critical sectors.

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