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4 key steps for optimizing your IT services portfolio

CIO Business Intelligence

From the CEO’s perspective, an optimized IT services portfolio maximizes cost efficiency, flexibility, and scalability. Highly optimized portfolios leverage outsourcing to ensure that commodity-based sourcing is offloaded to outsourcers, freeing up internal teams to focus on strategic projects that add value and effectively manage costs.

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Amazon EMR on EC2 cost optimization: How a global financial services provider reduced costs by 30%

AWS Big Data

We outline cost-optimization strategies and operational best practices achieved through a strong collaboration with their DevOps teams. We also discuss a data-driven approach using a hackathon focused on cost optimization along with Apache Spark and Apache HBase configuration optimization. This sped up their need to optimize.

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The Syntax, Semantics, and Pragmatics Gap in Data Quality Validation Testing 

DataKitchen

The Syntax, Semantics, and Pragmatics Gap in Data Quality Validate Testing Data Teams often have too many things on their ‘to-do’ list. Automatically creating tests from profile data allows teams to maintain maximum sensitivity to real problems while minimizing false positives that are not worth the follow-up.

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Robust Experimentation and Testing | Reasons for Failure!

Occam's Razor

Since you're reading a blog on advanced analytics, I'm going to assume that you have been exposed to the magical and amazing awesomeness of experimentation and testing. Insights worth testing. The entire online experimentation canon is filled with landing page optimization type testing. Wah wah wah waaah.

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Buyer's Guide for Supply Chain Network Design Software

Network design as a discipline is complex and too many businesses are still relying on spreadsheets to design and optimize their supply chain. As a result, most organizations struggle to answer network design questions or test hypotheses in weeks, when results are demanded in hours.

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MLOps and DevOps: Why Data Makes It Different

O'Reilly on Data

While there isn’t an authoritative definition for the term, it shares its ethos with its predecessor, the DevOps movement in software engineering: by adopting well-defined processes, modern tooling, and automated workflows, we can streamline the process of moving from development to robust production deployments. Why: Data Makes It Different.

IT 350
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Comprehensive Guide to Build AI Agents from Scratch

Analytics Vidhya

It covers testing, debugging, and optimizing AI agents in addition to tools, libraries, environment setup, and implementation. Introduction This article introduces the ReAct pattern for improved capabilities and demonstrates how to create AI agents from scratch.

Testing 337
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Easily Build an Optimization App and Empower Your Data

Speaker: Gertjan de Lange

If the last few years have illustrated one thing, it’s that modeling techniques, forecasting strategies, and data optimization are imperative for solving complex business problems and weathering uncertainty. Discover how the AIMMS IDE allows you to analyze, build, and test a model. Don't let uncertainty drive your business.