Analytics

Data analysis, big data, and business intelligence

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AI & ML

Navigating the AI Delegation Lifecycle: Strategies for Trustworthy Outputs

Learn how to effectively manage AI outputs with six key decisions that enhance governance and trustworthiness, ensuring audit readiness.

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AI & ML

MLB Players Association Advocates for Stricter Betting Marketing Guidelines

The MLB Players Association is pushing for a ban on personalized sportsbook marketing and broader restrictions on in-game betting as CBA discussions evolve.

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AI & ML

Rethinking Spreadsheet Integration: Java's Limits and Opportunities

Java's Apache POI is effective for basic Excel tasks, but struggles with complex formulas, highlighting challenges for developers in real-world applications.

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AI & ML

Understanding Tokenmaxxing: The Trap of Misleading AI Metrics

Many organizations fall into the trap of Tokenmaxxing, focusing on vanity metrics that detract from meaningful outcomes. Here’s how to shift your focus.

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AI & ML

Rethinking Infinite Scroll: The Pitfalls of Algorithm-Driven Design

As Meta faces scrutiny over the infinite scroll feature, web designers must confront the consequences of prioritizing engagement over user experience.

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Development

Optimizing AWS Architecture for Healthtech: Securing Sensitive Data in Development

Streamlined AWS setup can safeguard patient data in healthtech, preventing access issues that arise with new development teams or services.

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AI & ML

Text Analysis Without a Backend: Replacing an LLM Call With Intl.Segmenter and 60 Lines of JavaScript

Last spring, I had six small text features to build: flag filler phrases in a draft, score sentence-length variation, format a citation, check a document against a rubric. My first design put all six ...

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AI & ML

Revolutionizing Performance Analysis with Ampere System Profiler

The Ampere System Profiler streamlines system-level performance analysis, offering easy reporting that helps identify bottlenecks quickly and effectively.

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AI & ML

The Essential Skills Behind Successful AI Engineering

The disparity in AI system performance stems from overlooked skills essential for effective implementation rather than just model choices.

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AI & ML

Kalshi Seeks to Keep Prediction Market Case in Federal Court Amid New York Legal Battle

Kalshi is contesting New York's attempt to shift its lawsuit to state court, citing important federal law questions surrounding commodities and gambling.

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AI & ML

Transforming Meeting Recordings into Intelligent Knowledge Bases with Microsoft Foundry

Transform your organization's meeting archives into accessible knowledge bases using Microsoft Foundry's fast transcription and Foundry IQ features.

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AI & ML

Scaling Temporal: Enhancing Performance through Strategic Worker Management

Effective scaling of Temporal relies on optimizing Worker management and task routing to address capacity limits and ensure reliability.

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AI & ML

Harnessing Open Source for Software Engineering Leadership Development

Open source projects provide a unique platform for software engineers to enhance their leadership and technical skills through real-world collaboration.

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AI & ML

Maximizing Performance of JMS Listeners with Java 21 Virtual Threads

Java 21 virtual threads enhance JMS listener performance by reducing platform-thread pressure without resorting to reactive programming.

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AI & ML

Transitioning from AI Prototyping to Scalable Infrastructure: What Teams Need to Know

Building AI prototypes is quick and easy, but scaling them to production systems is more complex than teams often expect.

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AI & ML

Enhancing Chat UIs in React Native with Streamed LLM Responses

This piece discusses the challenges of building chat interfaces in React Native and how to improve performance with streamed LLM responses.

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Development

Why Software Engineers Should Embrace Leadership Beyond Management Roles

Leadership in software engineering extends beyond management—technical roles also require influence and collaboration for career growth.

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AI & ML

Choosing the Right Cloud for AI: Insights on AWS Bedrock, Vertex AI, and Azure Foundry

Selecting the right cloud platform for AI workloads is complex; here's a practical look at AWS Bedrock, Google Vertex AI, and Microsoft Azure AI Foundry.

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AI & ML

AI's Impact on SRE: Transforming ITOps, Chaos Engineering, and More

AI is reshaping SRE roles beyond incident response, enhancing ITOps, chaos engineering, and operational efficiencies in crucial tasks.

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AI & ML

Navigating the Challenges of Dynamic Application Security Testing

Understanding the unique hurdles of DAST can enhance vulnerability management and improve application security outcomes.