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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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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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Reduce your compute costs for stream processing applications with Kinesis Client Library 3.0

AWS Big Data

As applications process more and more data over time, customers are looking to reduce the compute costs for their stream processing applications. which enables you to reduce your stream processing cost by up to 33% compared to previous KCL versions. Additionally, we cover additional benefits that KCL 3.0 We then show how KCL 3.0

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Where CIOs should place their 2025 AI bets

CIO Business Intelligence

CIOs were given significant budgets to improve productivity, cost savings, and competitive advantages with gen AI. CIOs feeling the pressure will likely seek more pragmatic AI applications, platform simplifications, and risk management practices that have short-term benefits while becoming force multipliers to longer-term financial returns.

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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.

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How IT leaders use agentic AI for business workflows

CIO Business Intelligence

Though loosely applied, agentic AI generally refers to granting AI agents more autonomy to optimize tasks and chain together increasingly complex actions. The study found better oversight of business workflows to be the top perceived benefit of it. Customer gains Customer experiences are well-suited for an agentic boost as well.

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Build a high-performance quant research platform with Apache Iceberg

AWS Big Data

Our experiments are based on real-world historical full order book data, provided by our partner CryptoStruct , and compare the trade-offs between these choices, focusing on performance, cost, and quant developer productivity. Data management is the foundation of quantitative research.

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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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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.