Sat.May 31, 2025 - Fri.Jun 06, 2025

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The 7 hottest jobs in IT

CIO

In 2025, demand for IT talent remains strong across core roles and experts predict that the need for essential IT positions will continue to grow. Businesses face stiff competition for top talent in areas such as software engineering, cybersecurity, and data management. And while AI dominates news coverage, a recent Deloitte report cites MIT economist Daron Acemoglu, who suggests only 5% of jobs are at risk from AI automation in the next decade because of reliability challenges and the need fo

Security 187
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Are LLMs the new influencers? A new study shows just how personal AI is for many people

Dion Hinchcliffe's Web 2.0 Blog

More people are developing human-like relationships with AI. Here's why.

Study 95
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Trending Sources

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FInd the Fun at Work: How Smart Leaders Prioritize Play During Tough Times

Let's Grow Leaders

The Find the Fun Habit: What It Is, Why It Matters, and How to Bring It to Life This Week Weve all been on that team where everything feels heavy. The deadlines are looming, the to-do list is growing, and the energy? Flat. But heres the good news: you can find the fun at work and get the results you need. Thats the spirit behind Find the Fun the habit of bringing levity, energy, and even a little play into your process.

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IBM acquires Seek AI, launches Watsonx Labs to scale enterprise AI

CIO

IBM ( NYSE:IBM ) said it will acquire New York-based startup Seek AI to strengthen its enterprise data tools, alongside launching Watsonx AI Labs, a new innovation hub focused on accelerating AI adoption and supporting next-generation enterprise developers. Watsonx AI Labs, based at IBMs new One Madison offices in Manhattan, will expand the companys global network of engineering centers by bringing together researchers, startups, and enterprise partners to co-develop agentic AI solutions, the co

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How to Start Virtual Care the Right Way: A Proven Roadmap for 2025 and Beyond

Speaker: Dr. Christine Gall, DrPH, MS, BSN, RN

The promise of virtual care is no longer theoretical and is now a critical solution to many of healthcare’s most urgent challenges. Yet many healthcare leaders remain unsure how to build a business case for investment and launching the right program at the right time can be the difference between value and failure. For organizations seeking a financially sound, clinically effective entry point, Virtual Patient Observation (VPO) offers a compelling case to lead with.

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Autonomous coding agents: A Codex example

Martin Fowler

In the past few weeks, multiple “autonomous background coding agents” have been released. Birgitta Böckeler tried out giving a task to OpenAI Codex to see what she could learn. Here she describes one particular Codex run, to help us look behind the scenes, and make some observations about its contribution to our work.

Examples 181

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Mastering Kubernetes Migrations From Planning to Execution

The New Stack

Preparing to migrate workloads to Kubernetes can be daunting from a technical and operational perspective. The transition isn’t just about getting Kubernetes up and running; it also requires establishing a foundation for long-term success. For a smooth Day 0 migration, platform engineers must address several key factors, including security, application deployment, CI/CD alignment, and tooling choices to ensure their Kubernetes fleets are reliable, high-performance, and manageable over time

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Contextual retrieval in Anthropic using Amazon Bedrock Knowledge Bases

AWS Machine Learning - AI

For an AI model to perform effectively in specialized domains, it requires access to relevant background knowledge. A customer support chat assistant, for instance, needs detailed information about the business it serves, and a legal analysis tool must draw upon a comprehensive database of past cases. To equip large language models (LLMs) with this knowledge, developers often use Retrieval Augmented Generation (RAG).

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MCP: What It Is and Why It Matters—Part 3

O'Reilly Media - Ideas

This is the third of four parts in this series. Part 1 can be found here and Part 2 can be found here. 7. Building or Integrating an MCP Server: What It Takes Given these examples, you might wonder: How do I build an MCP server for my own application or integrate one thats out there? The good news is that the MCP spec comes with a lot of support (SDKs, templates, and a growing knowledge base), but it does require understanding both your applications API and some MCP basics.

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Best Practices Guide for Multi-Account AWS Deployments

Stackery

One of the central pillars of abstraction for managing applications built on AWS is the AWS account itself. When building your first application, you often start with one AWS account. There is no guide built into AWS that suggests otherwise, and you can happily build, test, and deploy a version of your application without thinking much of it. But everything changes once you need to support teams of developers working on many applications.

AWS 81
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Airflow Best Practices for ETL/ELT Pipelines

Speaker: Kenten Danas, Senior Manager, Developer Relations

ETL and ELT are some of the most common data engineering use cases, but can come with challenges like scaling, connectivity to other systems, and dynamically adapting to changing data sources. Airflow is specifically designed for moving and transforming data in ETL/ELT pipelines, and new features in Airflow 3.0 like assets, backfills, and event-driven scheduling make orchestrating ETL/ELT pipelines easier than ever!

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Dream 7B: A Powerful and Open Diffusion Language Model

The New Stack

The last few years have shown that large language models (LLMs) have impressive capabilities in analyzing, understanding and generating text in a human-like way — and they’re increasingly making inroads into people’s daily lives, for better or for worse. But even the most powerful LLMs have limitations, especially when it comes to tasks that require bidirectional and long-term reasoning, complex planning, and maintaining coherence over extended contexts.

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Identifying Idle Paths in a Data Center Leaf-Spine Fabric

Kentik

A well-designed leaf-spine topology distributes traffic across many links, but in real life, those links rarely share the traffic load equally. Hot spots form on a few spines, while others sit almost idle, leaving expensive bandwidth unused and forcing premature upgrades. This risks performance issues if sudden surges lead to congestion on already oversubscribed links.

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Data mesh: The secret ingredient in enterprise AI success

CIO

Conversations about AI technology involve a lot of technical buzzwords and jargon like large language models (LLMs) , agentic AI and reinforcement learning, to name just a few. Heres another term that doesnt always feature as centrally in discussion of AI, but probably should: Data mesh. In many respects, data mesh is the key to unlocking the full value of modern AI in the enterprise.

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IAM Policies: Good, Bad & Ugly

Stackery

In [my last post]([link] we looked at the structure of AWS IAM policies and looked at an example of a policy that was too broad. Let's look at a few more examples to explore how broad permissions can lead to security concerns. ## Unscoped Service Actions By far the most common form of broad permissions occurs when policies are scoped to a service but not to specific actions.

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Is Your Test Automation Keeping Up With Your Codebase?

Codebases evolve rapidly, and your test automation should keep pace. However, many teams struggle with brittle scripts and growing test debt, which hinder delivery and increase risk. This guide illustrates how engineering leaders leverage AI to enhance the resilience and scalability of testing. You will discover how AI can automatically generate and maintain test cases, adapt to changing applications, and identify high-risk areas before problems reach production.

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AI Reliability Engineering: Welcome to the Third Age of SRE

The New Stack

When Clayton Coleman ‘s quote was dropped at KubeCon NA, it resonated. Just five years back, ask any Site Reliability Engineer (SRE) about their job, and you’d hear about keeping web apps fast, scalable, and resilient. Today? The landscape is shifting beneath our feet. AI inference workloads — the process where a trained model uses its knowledge to make predictions on new data — are becoming as mission-critical as web applications ever were. “ Inference — refe

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Unlocking the power of Model Context Protocol (MCP) on AWS

AWS Machine Learning - AI

Weve witnessed remarkable advances in model capabilities as generative AI companies have invested in developing their offerings. Language models such as Anthropics Claude Opus 4 & Sonnet 4 , Amazon Nova , and Amazon Bedrock can reason, write, and generate responses with increasing sophistication. But even as these models grow more powerful, they can only work with the information available to them.

AWS 101
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From help desk to AI harmony: Redefining IT support in the age of intelligent automation

CIO

The IT help desk is evolving. Once defined by queues of tickets and reactive troubleshooting, support today is being reshaped by automation and artificial intelligence (AI). Intelligent systems now assist with everything from basic troubleshooting to after-hours triage. But for IT teams, the rise of AI in support roles doesnt just bring more new toolsit also introduces a new operating model.

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Understanding the AWS Well-Architected Framework

Stackery

Designing and running workloads in the cloud is complex. Many services need to fit together in just the right way for optimal performance. The opportunity for error lurks around every corner. This is a high-stakes game with a huge premium on getting things right from the beginning. Even small mistakes can snowball. To help, AWS studied the architectures of thousands of its customers and supplemented that learning with insights from experts.

AWS 83
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How to Achieve High-Accuracy Results When Using LLMs

Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage

When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m

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Python in Unexpected Places

The New Stack

Everyone knows Python is everywhere in web development. Netflix, Instagram, and Dropbox all rely on it. But Python doesn’t just live in web apps. Python, and its libraries and frameworks, quietly run things in some pretty unexpected places. In this post, I want to show you some of the weirder, cooler, and less obvious spots where Python is doing heavy lifting.

Film 62
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Adobe Sensei and GenAI in Practice for Enterprise CMS

Perficient

Adobe Experience Manager (AEM) introduced Adobe Sensei and Generative AI (GenAI) to transform enterprise content management by automating, personalizing, and scaling content creation and delivery. These AI capabilities help marketers, content creators, and enterprises produce highly relevant and engaging digital experiences faster and more efficiently.

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AI governance platforms wait for customers to catch up

CIO

As AI applications at Principal Financial Group proliferated over the last few years, so has the need for a comprehensive AI governance strategy , and a set of tools to help monitor and enforce it. Were leveraging over 100 active AI use cases, including natural language processing, machine learning and generative AI models used for fraud detection, claims automation, investment research, retirement plan optimization, and contact center support, says VP and chief data and analytics officer Rajesh

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AWS CloudFormation Templates & Best Practices

Stackery

What if I told you that a text file could help you tackle the normally tedious and time-consuming task of setting up and managing your AWS infrastructure? Good news. It’s actually easy to do with an AWS CloudFormation template. A typical AWS infrastructure can consist of numerous resources that might need to be managed across different accounts and regions.

AWS 78
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Zero Trust Mandate: The Realities, Requirements and Roadmap

The DHS compliance audit clock is ticking on Zero Trust. Government agencies can no longer ignore or delay their Zero Trust initiatives. During this virtual panel discussion—featuring Kelly Fuller Gordon, Founder and CEO of RisX, Chris Wild, Zero Trust subject matter expert at Zermount, Inc., and Principal of Cybersecurity Practice at Eliassen Group, Trey Gannon—you’ll gain a detailed understanding of the Federal Zero Trust mandate, its requirements, milestones, and deadlines.

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A Chief AI Officer Won’t Fix Your AI Problems

The New Stack

In the race to showcase AI adoption, companies are increasingly appointing Chief AI Officers (CAIOs) — a move that may seem necessary but, in many cases, proves insufficient. As the CEO of a data observability company that works with enterprises across various industries, I’ve seen firsthand how centralizing AI ownership can create new challenges rather than solve old ones.

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Simplify Cloud-Native Development with Quarkus Extensions

Perficient

The gradients that developers in the modern world experience when building cloud native applications often include the challenge of figuring out the right set of libraries and integrations to use. Quarkus alleviates this pain point and makes this experience a more seamless and faster experience to develop thanks to the rich set of extensions built into the Quarkus ecosystem.

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Project drift: How to deal with IT’s silent project killer

CIO

Whether its a technology or vendor challenge, project enhancement creep , or issues with IT or business user personnel, there are any number of ways for an IT project to drift off course and lose initial purpose and momentum. How do you detectproject drift, and what steps can you take to correct course? The Cambridge Dictionary defines drift as to move slowly, especially as a result of outside forces, with no control over direction, and for CIOs and project managers, thats exactly the point: Pro

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The Serverless Journey: From Developer Success to a Cloud Center of Excellence

Stackery

Though the volume of serverless talks is lower this week, the quality and impact lacked nothing. Two must-see presentations emerged highlighting important practices for succeeding with serverless in the enterprise. [Jessica Feng (Serverless Business Development at AWS) and David Anderson (Director of Technology at Liberty Mutual) outlined key steps for scaling success across an organization]([link] and [Ajay Nair (Director of AWS Lambda at AWS) included great security considerations as he highli

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Maximizing Profit and Productivity: The New Era of AI-Powered Accounting

Speaker: Yohan Lobo and Dennis Street

In the accounting world, staying ahead means embracing the tools that allow you to work smarter, not harder. Outdated processes and disconnected systems can hold your organization back, but the right technologies can help you streamline operations, boost productivity, and improve client delivery. Dive into the strategies and innovations transforming accounting practices.

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Why AI Demands a New Approach to Observability

The New Stack

AI is transforming industries in ways we couldn’t have imagined just a few short years ago, from automating customer service to streamlining supply chain management. But, with these exciting advancements come new challenges. As AI systems become more integral to everyday business operations , the need to monitor their performance, behavior, and decision-making processes has never been greater.

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Making AI work is increasingly a matter of the network, latest benchmark test shows

Dion Hinchcliffe's Web 2.0 Blog

MLCommons' AI training tests show that the more chips you have, the more critical the network that's between them.

Network 86
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Build once. Build right. The enduring power of Azure Landing Zones.

CIO

Now that the rush to adopt the cloud has passed, many organisations are facing the consequences of that pace. Fragmented environments, inconsistent governance, and platforms that werent designed to scale are common. Technical debt is slowing teams down and driving up operational costs. Every new workload introduces risk and friction. The root cause?

Azure 68