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Cloudera Lakehouse Optimizer Makes it Easier Than Ever to Deliver High-Performance Iceberg Tables

Cloudera

Iceberg has many features that drastically reduce the work required to deliver a high-performance view of the data, but many of these features create overhead and require manual job execution to optimize for performance and costs. Compaction is a process that rewrites small files into larger ones to improve performance.

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Intel Accelerators on Amazon OpenSearch Service improve price-performance on vector search by up to 51%

AWS Big Data

domains on C/M/R 7i instances , you can gain up to 51% in vector search performance at no additional cost compared to previous R5 Intel instances. However, vector search is computationally intensive, and higher compute and memory requirements can lead to higher costs than traditional search. When you run OpenSearch 2.17

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The key to operational AI: Modern data architecture

CIO Business Intelligence

To fully benefit from AI, organizations must take bold steps to accelerate the time to value for these applications. Operational AI offers organizations significant benefits, including time and cost savings, and critical competitive advantages in today’s business landscape. This is where Operational AI comes into play.

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Enhance Amazon EMR scaling capabilities with Application Master Placement

AWS Big Data

One of the key features of Amazon EMR on EC2 is managed scaling, which dynamically adjusts computing capacity in response to application demands, providing optimal performance and cost-efficiency. Starting with the Amazon EMR 7.2

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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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Navigating the cloud maze: A 5-phase approach to optimizing cloud strategies

CIO Business Intelligence

In todays fast-paced digital landscape, the cloud has emerged as a cornerstone of modern business infrastructure, offering unparalleled scalability, agility, and cost-efficiency. This serves as a baseline to drive cloud adoption and getting started with a shifting mindset on how to make money with cloud and not just cost savings alone.

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RocksDB 101: Optimizing stateful streaming in Apache Spark with Amazon EMR and AWS Glue

AWS Big Data

Organizations face mounting pressure to process massive data streams instantaneously—from detecting fraudulent transactions and delivering personalized customer experiences to optimizing complex supply chains and responding to market dynamics milliseconds ahead of competitors.

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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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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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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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The Ultimate Guide To Data-Driven Construction: Optimize Projects, Reduce Risks, & Boost Innovation

Speaker: Donna Laquidara-Carr, PhD, LEED AP, Industry Insights Research Director at Dodge Construction Network

In today’s construction market, owners, construction managers, and contractors must navigate increasing challenges, from cost management to project delays. Fortunately, digital tools now offer valuable insights to help mitigate these risks. That’s where data-driven construction comes in.

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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.