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Cost Optimization for AI Applications

Dataiku

As organizations begin to monitor their unique recovery process and understand the shifting dynamics of the economic landscape following the global health crisis, many face the reality, albeit daunting, that their business was not equipped to pivot their operations in the face of mass disruption.

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The impact of AI on edge computing

CIO Business Intelligence

AI, including Generative AI (GenAI), has emerged as a transformative technology, revolutionizing how machines learn, create, and adapt. And as organizations increasingly adopt edge computing for real-time processing and decision-making, the convergence of AI and edge computing presents unprecedented opportunities. over 2023 2.

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DIY cloud cost management: The strategic case for building your own tools

CIO Business Intelligence

Cloud cost management remains a critical CIO priority. With questions around ROI, increasing outlay, and corporate scrutiny on IT cost savings on the rise, CIOs must know not only what contributes to their organization’s overall cloud spend but also how to optimize it.

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Inferencing holds the clues to AI puzzles

CIO Business Intelligence

Inferencing has emerged as among the most exciting aspects of generative AI large language models (LLMs). A quick explainer: In AI inferencing , organizations take a LLM that is pretrained to recognize relationships in large datasets and generate new content based on input, such as text or images.

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Common Use Cases for Mathematical Optimization

Mathematical optimization is a subset of artificial intelligence and a type of prescriptive analytics. It determines ways in which business processes should evolve or be modified, providing implementable solutions with known cost and/or benefit. What are some of the most common use cases for mathematical optimization across industries?

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How generative AI will revolutionize supply chain 

IBM Big Data Hub

In the age of digital transformation, the integration of advanced technologies like generative artificial intelligence brings a new era of innovation and optimization. Generative AI, with its ability to autonomously generate solutions to complex problems, will revolutionize every aspect of the supply chain landscape.

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Gen AI without the risks

CIO Business Intelligence

ChatGPT, Stable Diffusion, and DreamStudio–Generative AI are grabbing all the headlines, and rightly so. Gen AI will become a fundamental part of how enterprises manage and deliver IT services and how business users get their work done. Developing and deploying successful AI can be an expensive process with a high risk of failure.

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LLMOps for Your Data: Best Practices to Ensure Safety, Quality, and Cost

Speaker: Shreya Rajpal, Co-Founder and CEO at Guardrails AI & Travis Addair, Co-Founder and CTO at Predibase

Large Language Models (LLMs) such as ChatGPT offer unprecedented potential for complex enterprise applications. However, productionizing LLMs comes with a unique set of challenges such as model brittleness, total cost of ownership, data governance and privacy, and the need for consistent, accurate outputs.