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MRO spare parts optimization

IBM Big Data Hub

A recent report shows a significant increase in the cost of manufacturing downtime from 2021 to 2022, with Fortune Global 500 companies now losing 11% of their yearly turnover which amounts to nearly USD 1.5 Many asset-intensive businesses are prioritizing inventory optimization due to the pressures of complying with growing industry 4.0

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Addressing cloud waste: 4 steps to cloud computing cost optimization

CIO Business Intelligence

Now, more than a decade later, business leaders recognize the advantages the cloud offers but are struggling with bloated cloud costs. Andreesen Horowitz coined the phrase the Cloud Paradox in a 2021 article , which posits that the pressure the cloud puts on company margins can start to outweigh the benefits over time.

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Optimizing Cost with DevOps on the Cloud

Smart Data Collective

Are you looking for a way to reduce the cost of your development efforts? The cost savings associated with DevOps on the cloud are significant. By leveraging existing cloud-based services, businesses can save time and money by avoiding costly IT overhead costs like maintenance, licensing fees, and server infrastructure setup.

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Optimizing PCI compliance in financial institutions

CIO Business Intelligence

How can implementing a CCA benefit financial institutions and their various business units in their quest for PCI security compliance? That, in turn, reduces IT cost, the time it takes staff to learn the environment, and the time to market. One of the significant advantages of a CCA is the potential for cost reduction.

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Customer Experience Management: Optimizing Your Strategy for Financial Success

Speaker: Diane Magers, Founder and Chief Experience Officer at Experience Catalysts

She’ll explore how to pinpoint, measure, and attain benefits such as increased revenue per customer, call reduction, reduced attrition, referral growth, and reduced cost-to-serve through CX improvements, all while actively engaging your customers.

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Optimize data layout by bucketing with Amazon Athena and AWS Glue to accelerate downstream queries

AWS Big Data

However, as data volumes continue to grow, optimizing data layout and organization becomes crucial for efficient querying and analysis. To address this challenge, common practices like partitioning and bucketing can significantly improve query performance and reduce computation costs.

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Measuring the impact: Unveiling the savings realized in cloud cost optimization 

IBM Big Data Hub

Similarly, comprehending the savings realized in a cloud-cost-optimization journey offers valuable insights into the impact of your efforts. It’s like having a financial guide by your side, showing you the tangible benefits of your optimization strategies and motivating you to keep pushing forward.

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Supply Chain Network Design in 30 Minutes

Speaker: Catalina Perez Leiva

Does it overly contribute to your costs? Has Excel reached its limits for mathematical optimization? Learn how AIMMS Network Design helps you run various scenarios to make informed decisions, all with personal, high-care implementation support and onboarding. AIMMS Network Design features, functions, and technology: Use cases.

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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. Want ballpark estimates of value and benefits achieved through optimization.

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Supply Chain Network Design Use Cases; From Lowering Cost to Going Green

Speaker: Aanand Pandey and Catalina Perez

Need to lower your supply chain costs, speed up delivery times or decrease carbon emissions? Start optimizing your supply chain! Finding optimal locations for plants and other resources. Finding optimal locations for plants and other resources. Modeling carbon cost. Dealing with abrupt changes in demand.

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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

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. Large Language Models (LLMs) such as ChatGPT offer unprecedented potential for complex enterprise applications.