Cortex — actualités tech et cybersécurité

mercredi 29 juillet

The economics of the borderless Lakehouse and agents

The borderless Lakehouse redefines enterprise AI economics by delivering compounded savings across data transfer, compute, and token consumption. By utilizing Cross-Cloud Interconnects and zero-copy sharing, you bypass fragile data pipelines and unpredictable egress fees to query remote datasets at a flat, predictable rate. Knowledge Catalog filters and delivers the precise, minimal business context required for each prompt, preventing token bloat and eliminating unnecessary reasoning loops. Big

29 juil.

1. Group everything into a single pull request

The groups block is the heart of this change: groups: monthly-batch: patterns: - "*" A Dependabot group bundles multiple dependency updates into one pull request. The name (monthly-batch) is yours to choose. It shows up in the pull request title and branch name. The patterns list decides which dependencies belong to the group, and "*" is a wildcard that matches all of them. So instead of 10 pull requests, you get one pull request titled something like “Bump the monthly-batch group wi

29 juil.

But what about security updates?

Dependabot can fix vulnerable dependencies for you by raising pull requests with security updates.

29 juil.

Intelligence Artificielle

Get started with Looker Agentic Workflows

Administer Gemini features on your Looker (Google Cloud core) instance

29 juil.

Confidentiality cuts the other way

Here is what the hand-wringing pieces get backwards. Confidentiality is not the reason to avoid understanding these tools. It’s the reason you must. A lawyer who understands how a language model handles information is far better positioned to protect client confidences than one who does not. They know what gets transmitted, what gets retained, what gets logged and where inference actually runs. They can read a vendor’s data-handling terms and know which questions to ask. They can configure a too

29 juil.

The honest limits

GenAI hallucinations continue to plague attorneys and pro se litigants, emphasizing the need for careful verification of case citations.

29 juil.

Intelligence Artificielle

Why FDE is needed in agentic AI

Agentic AI deployment is rarely a simple matter of selecting a foundation model and connecting it to a user interface. Enterprise agents operate inside business processes that already contain policies, data quality issues, exception paths, audit requirements, identity controls and legacy systems. A sales operations agent, for example, may need to read CRM records, interpret account notes, generate a renewal recommendation, check discount eligibility, route an approval and update the opportunity.

29 juil.

Intelligence Artificielle

The FDE operating model

Businesses are moving beyond traditional AI agents toward something more transformative: agentic AI. Find out why.

29 juil.

Intelligence Artificielle

Reference architecture for FDE-led agentic AI

This report features detailed assessments, including profile overviews, key solutions, investments, and case studies of 27 providers that focus on AI and

29 juil.

Intelligence Artificielle

Jensen Huang, founder and CEO, Nvidia

“Never stop asking questions and seeking answers. Curiosity fuels progress”

29 juil.

Jason Crawford, founder and president, Roots of Progress Institute

I write and speak about the history & philosophy of progress. Founder, @rootsofprogress. Host of the Progress Conference. Author, The Techno-Humanist Manifesto.

29 juil.

Ethan Mollick, associate professor, The Wharton School

Location: Greater Philadelphia · 500+ connections on LinkedIn. View Ethan Mollick’s profile on LinkedIn, a professional community of 1 billion members.

29 juil.

Dado Van Peteghem, author and keynote speaker on AI, technology, and business

I was born in the 80’s and raised with a Gameboy in hand 🎮, fueling my lifelong passion… · Experience: Dado Van Peteghem · Education: Universiteit Gent · Location: Oosterzele · 500+ connections on LinkedIn. View 🏄🏻‍♂️ Dado Van Peteghem’s profile on LinkedIn, a professional community of 1 billion members.

29 juil.

David Forino, co-founder and CTO, Quanted

David Forino (LinkedIn), led AI research at Volkswagen’s self-driving team and now often posts on LinkedIn about the data bottleneck in quant finance — how teams spend more time keeping data pipelines running than doing research. It’s the same problem most companies run into when they roll out AI, so his tips are always helpful from someone adjacent to them. – Charlie Simionescu-Marin, co-founder and CEO, Quanted

29 juil.

Justina Nixon-Saintil, chief impact officer and president, IBM International Foundation

Experience: IBM · Education: New York University - Leonard N. Stern School of Business · Location: New York · 500+ connections on LinkedIn. View Justina Nixon-Saintil’s profile on LinkedIn, a professional community of 1 billion members.

29 juil.

Niall Ferguson, senior fellow, The Hoover Institution, Stanford University

Fundamentally, I get the most value from the big brains who focus on consequences rather than capabilities. They help inspire my own thinking about which assumptions about my business stop being true because transformative technology exists. One of the most important voices I follow is Niall Ferguson (LinkedIn, X). He’s a historian, not a technologist, which is precisely why he’s valuable. Technology changes quickly. Institutions, markets, and power structures change slowly. Understanding the ga

29 juil.

The cost of not knowing what things cost

Process transformation has been a fixture on the enterprise agenda for 30 years, moving through successive waves: business process reengineering, Lean and Six Sigma, robotic process automation and now agentic AI. Each arrived with genuine methodology, a consulting infrastructure and case studies demonstrating impressive operational results. However, the actual returns paint a different picture. Recent Bain research found that 88% of business transformations fail to achieve their original ambitio

29 juil.

I saw some meme on social media talking about the first SAW film and September 11th. I thought i...

hat displays September 10th, 2001 tl;dr big day tomorrow in the SAW universe

t.me29 juil.

Inside the Events Rail: How Atlassian Delivers 10 Billion Webhooks a Month

At a high level, webhooks-processor sits between three worlds: Producers: Atlassian products (Jira, Confluence, Bitbucket) publishing events through an internal publish/subscribe substrate, with a few REST-triggered flows on the side. A two-stage processing pipeline. Event Matching reads from an events queue and writes matched events onto a webhooks queue; Event Delivery drains the webhooks queue and dispatches. Consumers: Forge apps via the Forge runtime, repository-hook recipients at cus

29 juil.

Step 1: Your pre-race password inspection

AI is making phishing attacks tougher to spot, but 1Password’s new feature helps prevent people and businesses from being victimized.

29 juil.

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