Remove AI Tools Remove Explainable AI Remove Responsible AI
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Seven Trends to Expect in AI in 2025

Unite.AI

By leveraging multimodal AI, financial institutions can anticipate customer needs, proactively address issues, and deliver tailored financial advice, thereby strengthening customer relationships and gaining a competitive edge in the market. The OECD reports over 700 regulatory initiatives in development across more than 60 countries.

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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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Cybersecurity AI Trends to Watch in 2024

Unite.AI

AI transforms cybersecurity by boosting defense and offense. However, challenges include the rise of AI-driven attacks and privacy issues. Responsible AI use is crucial. The future involves human-AI collaboration to tackle evolving trends and threats in 2024.

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The Essential Tools for ML Evaluation and Responsible AI

ODSC - Open Data Science

As AI systems become increasingly embedded in critical decision-making processes and in domains that are governed by a web of complex regulatory requirements, the need for responsible AI practices has never been more urgent. But let’s first take a look at some of the tools for ML evaluation that are popular for responsible AI.

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How to use foundation models and trusted governance to manage AI workflow risk

IBM Journey to AI blog

. “Foundation models make deploying AI significantly more scalable, affordable and efficient.” It’s essential for an enterprise to work with responsible, transparent and explainable AI, which can be challenging to come by in these early days of the technology. ” Are foundation models trustworthy?

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Ajay Kumar, CEO of SLK Software – Interview Series

Unite.AI

Can you elaborate on how the Quote AI tool improves quoting processes for businesses? This suite offers a holistic approach to integrating AI, addressing various aspects of business transformation. Tools like AIWiz and PeakPerform automate tasks and enable faster decision-making. GDPR, CCPA) and industry regulations (e.g.,

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MLOps Landscape in 2023: Top Tools and Platforms

The MLOps Blog

Fairness testing: In the context of ethical AI, tools should provide capabilities for fairness testing to evaluate and mitigate biases and disparities in model predictions across different demographic groups or sensitive attributes.