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Artificial Intelligence in practice

CIO

The world has known the term artificial intelligence for decades. Developing AI When most people think about artificial intelligence, they likely imagine a coder hunched over their workstation developing AI models. This process, where both input and output of the model are automated, is known as AI deployment.

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LLM benchmarking: How to find the right AI model

CIO

But how do companies decide which large language model (LLM) is right for them? LLM benchmarks could be the answer. They provide a yardstick that helps user companies better evaluate and classify the major language models. LLM benchmarks are the measuring instrument of the AI world.

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Have we reached the end of ‘too expensive’ for enterprise software?

CIO

Generative artificial intelligence ( genAI ) and in particular large language models ( LLMs ) are changing the way companies develop and deliver software. Instead of manually entering specific parameters, users will increasingly be able to describe their requirements in natural language.

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AI in action: How enterprises are scaling AI for real business impact

CIO

To capitalize on the enormous potential of artificial intelligence (AI) enterprises need systems purpose-built for industry-specific workflows. Enterprise technology leaders discussed these issues and more while sharing real-world examples during EXLs recent virtual event, AI in Action: Driving the Shift to Scalable AI.

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Trusted AI 102: A Guide to Building Fair and Unbiased AI Systems

The risk of bias in artificial intelligence (AI) has been the source of much concern and debate. Numerous high-profile examples demonstrate the reality that AI is not a default “neutral” technology and can come to reflect or exacerbate bias encoded in human data.

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AI Pact: Simplifying EU AI Act compliance for enterprises

CIO

In particular, it is essential to map the artificial intelligence systems that are being used to see if they fall into those that are unacceptable or risky under the AI Act and to do training for staff on the ethical and safe use of AI, a requirement that will go into effect as early as February 2025.

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AI in action: Stories of how enterprises are transforming and modernizing

CIO

Generative and agentic artificial intelligence (AI) are paving the way for this evolution. Accelerating modernization As an example of this transformative potential, EXL demonstrated Code Harbor , its generative AI (genAI)-powered code migration tool. Its a driver of transformation. The EXLerate.AI

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Realizing the Benefits of Automated Machine Learning

While everyone is talking about machine learning and artificial intelligence (AI), how are organizations actually using this technology to derive business value? This white paper covers: What’s new in machine learning and AI.