AWS Weekly Roundup: AWS Transform at 1 year, Claude Platform on AWS, EC2 M3 Ultra Mac instances, and more (May 18, 2026)

It’s like having your own personal expert AWS solutions architect and data engineer rolled into one. The post Introducing the Agent Toolkit for Amazon Web Services appeared first on Towards Data Science.

IBM has partnered with Scuderia Ferrari HP to overhaul the team’s fan app using enterprise AI, bringing the technology giant into Formula One — one of the fastest-growing sports in the United States and an increasingly competitive arena for tech companies including AWS, Oracle, and Anthropic. The partnership centres on transforming the millions of data points generated […]

企業・組織がデータをまとめることに躍起になっている間に、本質を見失っていることが多く見受けられます。 データは手段であり、目的ではありません。 「データ統合」という言葉を、皆さんは何度耳にされているでしょうか。 経営会議で、ITロードマップで、ベンダー提案書で。まるで呪文のように繰り返されるこの言葉に、私はずっと違和感を覚え意義をとなえ続けています。 結論を先に言います。「データ統合」は、そのままでは意味をなさない概念です。 本当に企業が取り組むべきは「意思決定の統合」であり、データはその手段に過ぎません。 １．「データ統合」はそもそも何を指しているのか 実は私はそこをあまりわかっていません。なぜなら私の中にその概念がないためです。ただ世の中での「データ統合」という言葉の使われ方から推察すると、実際には二つの異なる意味で使われているように見受けられます。 💡キーポイント： 「①置く統合」はメッシュアーキテクチャで不要になりつつある。 「②加工の統合」はそれ自体が目的ではなく、意思決定改善という目的への手段に過ぎない。 どちらの解釈においても、「データ統合」は価値あるものとしては定義できない。 ２．データは組織を動かさない Data doesn't drive your organization. Decisions do. こちらのブログで詳しくお話していますが、データは組織を動かしません。意思決定が組織を動かします。 これは私が日頃お伝えしているメッセージですが、「データ統合」という言葉が流行するとき、この順序が逆転していることが多いです。 自律型AIエージェント時代の意思決定～ROI創出とリスク管理を「技術」ではなく「意思決定」で整理する ３．「統合データベース」という幻想 仮にデータ統合という意味が正確に定義できなくても明らかに手段であるものではなく、目的志向で、「すべての意思決定モデルを格納した統合データベース」を作ろうとすると、どうなるでしょうか。 企業の中で生まれる意思決定は無数にあります。価格設定、在庫補充、顧客対応、採用、設備投資、与信判断、リスク管理……それぞれの意思決定は、固有のコンテキスト・時間軸・責任者を持ち、互いに複雑に干渉し合っています。 それらすべてを網羅する「統合データベース」などは、私が知る限り現時点では現実的に存在しないですし、

Mini Shai-Hulud npm campaign compromises @antv packages, targeting blockchain developers’ GitHub tokens, AWS keys, and CI/CD secrets in a coordinated supply chain attack. The malicious publishes started just before 2 a.m. UTC on May 19. By the time most developers on the East Coast had their first coffee, the damage was already done. Socket’s Threat […] The post npm Supply Chain Attack Hits @antv: Blockchain Dev Secrets Now Exposed appeared first on Live Bitcoin News.

AWS has increased Amazon CloudWatch Logs Insights query result limits from 10,000 to 100,000 rows and added pagination support for its GetQueryResults API to help developers and site reliability engineers (SREs) troubleshoot and debug large-scale distributed applications more efficiently. The update to the monitoring and observability service, according to an AWS blog post, will reduce the need to repeatedly split queries into smaller time windows during incident investigations, debugging, and operational audits across enterprise environments. Analysts see sound operational reasoning behind the move. “The old 10,000-row CloudWatch limit was a real problem for large distributed systems. During outages, SRE teams often had to rerun the same query across multiple small time windows and manually combine results. Automated monitoring and compliance pipelines also needed extra custom logic, making systems more complex and fragile,” said Pareekh Jain, principal analyst at Pareekh Consulting.

The trend shows no sign of slowing. McKinsey’s latest The State of AI report suggests that 88% of organizations now use AI in at least one business function. As adoption expands, so too will experimentation and tool creation — much of it occurring outside traditional IT processes and often beyond formal oversight. For IT leaders, the implications are significant. They are no longer managing a closed, centrally controlled environment, but one where technology can emerge anywhere, spread rapidly, and influence core business processes in ways that are difficult to predict or contain. “Shadow usage is dramatically outpacing production,” said Chris Drumgoole, president of global infrastructure services at IT service provider DXC Technology. In many organizations, unofficial AI usage already exceeds sanctioned deployments by several multiples. Worse, he said, IT teams often have very little visibility into where and how these tools are being used. From rollout to invisible adoption What’s ha

AWS late on Thursday added a new prompt optimization tool to Amazon Bedrock, its fully managed service for building, deploying, and scaling generative AI applications. The tool, Amazon Bedrock Advanced Prompt Optimization, can be accessed through the Bedrock console, and is designed to automatically refine prompts for better accuracy, consistency, and efficiency across multiple large language models, the hyperscaler wrote in a blog post. The tool works by first evaluating prompts against user-defined datasets and metrics, then rewriting them to optimize them for up to five inference models. It then benchmarks the optimized versions against the originals across the models to help developers identify the best-performing configurations for specific workloads, AWS said. Currently, it is generally available across multiple AWS regions, including US East, US West, Mumbai, Seoul, Singapore, Sydney, Tokyo, Canada (Central), Frankfurt, Ireland, London, Zurich, and São Paulo. The company said th

The post 822K Downloads at Risk: Malicious node-ipc Versions Spotted Stealing AWS and Private Keys appeared on BitcoinEthereumNews.com. Key Takeaways Slowmist flagged three malicious node-ipc versions on May 14, targeting over 822,000 weekly npm downloads. The 80KB payload steals 90+ credential categories, including AWS keys and .env files via DNS tunneling. Developers must immediately pin to clean node-ipc versions and rotate all potentially exposed secrets. Developer Secrets at Stake Blockchain security firm Slowmist flagged the attack via its Misteye threat intelligence system, identifying three rogue releases, namely versions 9.1.6, 9.2.3, and 12.0.1. The node-ipc package, used to enable inter-process communication (IPC) in Node.js environments, is embedded across decentralized application ( dApp) build pipelines, CI/CD systems, and developer tooling throughout the crypto ecosystem. The malicious releases were identified as versions 9.1.6, 9.2.3, and 12.0.1. The package averages ov