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4 strategic sourcing use cases to strengthen your supply chain

IBM Big Data Hub

They also factor in how a strong partnership could reduce supply chain risk and advance sustainability. Such analysis and decision-making are often optimized with the help of various technologies, including artificial intelligence tools and data analytics platforms. And from that group, 71% would pay a premium for it.

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How to build a successful AI strategy

IBM Big Data Hub

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. Organizations that make efforts to understand AI now and harness its power will thrive in the future. Artificial intelligence (AI) is a transformative force.

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Leveraging generative AI on AWS to transform life sciences

IBM Big Data Hub

The exponential leap in generative AI is already transforming many industries: optimizing workflows , helping human teams focus on value added tasks and accelerating time to market. Life sciences industry is beginning to take notice and aims to leapfrog the technological advances.

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How Financial Services and Insurance Streamline AI Initiatives with a Hybrid Data Platform

Cloudera

Institutions must design AI systems that are not only transparent, reliable, fair, and accountable, but also comply with privacy and security requirements, as well as align with human values and norms. It’s the most revolutionary technological development in at least a generation. But it’s also fraught with risk.

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6 generative AI hazards IT leaders should avoid

CIO Business Intelligence

OpenAI’s recent announcement of custom ChatGPT versions make it easier for every organization to use generative AI in more ways, but sometimes it’s better not to. Some of the most vocal complaints about generative AI have come from authors and artists unhappy at having their work used to train large language models (LLMs) without permission.

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AI vs. Machine Learning vs. Deep Learning vs. Neural Networks: What’s the difference?

IBM Big Data Hub

These computer science terms are often used interchangeably, but what differences make each a unique technology? To keep up with the pace of consumer expectations, companies are relying more heavily on machine learning algorithms to make things easier. This blog post will clarify some of the ambiguity.

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Take advantage of AI and use it to make your business better

IBM Big Data Hub

Organizations are no longer asking whether to add AI capabilities, but how they plan to use this quickly emerging technology. While 42% of companies say they are exploring AI technology, the failure rate is high; on average, 54% of AI projects make it from pilot to production. Artificial intelligence (AI) adoption is here.

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