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Agentic AI design: An architectural case study

CIO

From obscurity to ubiquity, the rise of large language models (LLMs) is a testament to rapid technological advancement. Just a few short years ago, models like GPT-1 (2018) and GPT-2 (2019) barely registered a blip on anyone’s tech radar. Let’s review a case study and see how we can start to realize benefits now.

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Why GreenOps will succeed where FinOps is failing

CIO

The implications for cloud adoption are profound, as businesses increasingly rely on these technologies to drive digital transformation, optimize operations and gain competitive advantages. But technical skills alone are insufficient for meaningful transformation strong leadership and the ability to inspire are equally vital.

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How ML System Design helps us to make better ML products

Xebia

With the industry moving towards end-to-end ML teams to enable them to implement MLOPs practices, it is paramount to look past the model and view the entire system around your machine learning model. The classic article on Hidden Technical Debt in Machine Learning Systems explains how small the model is compared to the system it operates in.

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Accelerating insurance policy reviews with generative AI: Verisk’s Mozart companion

AWS Machine Learning - AI

Verisk (Nasdaq: VRSK) is a leading strategic data analytics and technology partner to the global insurance industry, empowering clients to strengthen operating efficiency, improve underwriting and claims outcomes, combat fraud, and make informed decisions about global risks.

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A Guide to Building a Structured Hiring Process for Tech Recruiters

Hacker Earth Developers Blog

In the competitive world of tech hiring, its not enough to simply sift through resumes and conduct a handful of interviews. Tech recruiters need a well-defined, structured hiring process that ensures they attract, evaluate, and select the best talent for their teams. In the tech industry, this might include technical expertise (e.g.,

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The Importance of Evidence-Based Hiring in Tech: A Complete Guide

Hacker Earth Developers Blog

The tech industry faces a unique hiring challengeroles demand highly specialized skills, innovation, and adaptability. In this guide, well dive into why evidence-based hiring is a game-changer for tech recruitment, how to implement it, and the tangible benefits it brings. Why is evidence-based hiring critical in tech?

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Why Are There So Few Women in Computer Science?

The Crazy Programmer

This could be due to the “male geek” concept. Many women could feel unwanted and discouraged due to a lack of senior responsibilities. Stephanie Shirley developed programs studying the impact of technology on social issues. It was under her watchful eye that the tech hackathon was developed for health workers.