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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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FPGA vs. GPU: Which is better for deep learning?

IBM Big Data Hub

Underpinning most artificial intelligence (AI) deep learning is a subset of machine learning that uses multi-layered neural networks to simulate the complex decision-making power of the human brain. FPGAs vs. GPUs The choice of hardware significantly influences the efficiency, speed and scalability of deep learning applications.

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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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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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Expion Health revamps its RFP process with AI

CIO Business Intelligence

Process automation and improvement is a perennial CIO agenda item, and the call for business process optimization is only getting louder — especially for those processes directly tied to the bottom line. Suresh Kumar, chief transformation officer for mergers and acquisitions at Expion.

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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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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.