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Belgium 19-3-26 Country Members Physical french

Vendor Detox: La consolidation vaut-elle le risque ?

Moins de Partenaires : La consolidation vaut-elle le risque ? Le problème est la prolifération des fournisseurs : trop d'outils causant de la complexité, une taxe d'intégration paralysante et de la redondance. La Taxe d'Intégration est le coût caché (en temps, en échecs et en ressources) d'essayer de faire fonctionner ensemble des systèmes disparates. Cet échange se concentre sur des stratégies éprouvées pour simplifier de manière agressive le parc technologique, consolider les fournisseurs et élever certains fournisseurs clés au rang de partenaires stratégiques.

Belgium 24-3-26 Invitation Only Physical english

Killing Zombie Projects: Knowing when to stop, restart, or quietly let go

Every organisation has them, projects that keep running long after their purpose has faded. No one remembers who asked for them, but shutting them down feels riskier than keeping them alive. And eventually, people stay assigned, budgets stay allocated, and energy drains into work that no longer matters. Inertia at its finest. Ending a project is rarely a technical decision. It’s emotional, political, and often tied to past promises or personal reputation. The longer something runs, the harder it becomes to admit it’s time to stop. Yet clearing that backlog of half-dead initiatives is often the only way to make room for new ones. So how do you decide when to pull the plug? What signals show that value is gone, and who gets to say so? How can governance encourage honest calls without punishing those who make them? Let’s discuss how to end gracefully, refocus teams, and turn closure into confidence rather than blame. Bullet in the head? Is that how you kill a zombie, or was it a silver bullet in the heart? A closed conversation on how to make progress by learning to stop.

Belgium 26-3-26 Invitation Only Virtual english

Measuring Value in AI Initiatives: Defining ROI, accountability, and measurable outcomes in complex environments

AI projects continue to multiply, but proving their value remains difficult. Most organisations can track activity, not impact. Dashboards count pilots and models, yet few translate to measurable business outcomes. The result is familiar: success stories without clarity on what they actually delivered. The real issue is measurement. Traditional ROI metrics fail when AI changes decisions more than results. Financial indicators miss the operational gains, while qualitative benefits often sound too vague to defend. Without clear evidence, budgets come under scrutiny and confidence erodes. This session focuses on how to connect AI work with business outcomes through structured metrics, governance, and accountability. We’ll explore how value tracking evolves from experimentation to scale, which indicators earn trust at board level, and where measurement stops being meaningful. A closed exchange for comparing methods, tools, and lessons learned in defining, proving, and sustaining AI impact.

March 24, 2026 Squad Session Invitation Only Physical english

Killing Zombie Projects: Knowing when to stop, restart, or quietly let go

March 26, 2026 Squad Session Invitation Only Physical english

Measuring Value in AI Initiatives: Defining ROI, accountability, and measurable outcomes in complex environments

March 31, 2026 Squad Session Invitation Only Physical english

Composability in Practice: Building modular systems that stay coherent as they grow

Composability sounds elegant in theory: small, independent parts that come together to form something greater, but in practice, it’s messy. What happens when modules overlap, APIs evolve differently across domains, and governance struggles to keep pace? What was meant to simplify architecture sometimes ends up multiplying it.

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Anthropic trains LLMs and powers their language model assistant with Google Cloud infrastructure.

Anthropic Forges Partnership With Google Cloud to Help Deliver Reliable and Responsible AI

Leading AI startup leverages the power of Google Cloud TPUs and GPUs to accelerate safe, cutting-edge AI

SUNNYVALE, Calif., Feb. 3, 2023 /PRNewswire/ -- Google Cloud today announced a new partnership with Anthropic, an AI startup focused on safety and research. Anthropic has selected Google Cloud as its preferred cloud provider, giving it the compute power necessary to build reliable and trustworthy AI systems. Additionally, Google Cloud intends to build large-scale, next-generation TPU and GPU clusters that Anthropic plans to use to train and deploy its cutting-edge AI systems.

"We're thrilled to be able to partner with Google Cloud on training and deploying useful AI systems," said Anthropic CEO Dario Amodei. "We've been impressed with Google Cloud's open and flexible infrastructure. We are excited to partner with Google to scale-up our systems in the coming months."

Anthropic selected Google Cloud to benefit from the company's deep expertise in large-scale systems for machine learning, and as a partner with shared values around safe and beneficial development of AI. By leveraging Google's custom-developed machine learning systems designed to run computationally-intensive workloads, Anthropic will continue to conduct breakthrough AI research on the same infrastructure that powers Google Search and YouTube.

"At Google, we believe it is imperative to pursue AI boldly and responsibly," said James Manyika, SVP of Technology and Society, Google. "We are committed to developing and delivering useful and beneficial applications, applying responsible principles grounded in human values and safety, and evolving our approaches as we learn from research, experience, users, and the wider community. Our partnership with Anthropic is aligned with that philosophy."

"AI has evolved from academic research to become one of the biggest drivers of technological change, creating new opportunities for growth and improved services across all industries," said Thomas Kurian, CEO, Google Cloud. "Google Cloud is providing open infrastructure for the next generation of AI startups, and our partnership with Anthropic is a great example of how we're helping users and businesses tap into the power of reliable and responsible AI."

Anthropic was founded in January 2021 by the team behind AI breakthroughs such as GPT-3 and Reinforcement Learning from Human Feedback (RLHF). Since its founding, Anthropic has published 14 research papers showing how to build language models that are reliable and controllable.

In 2023, Anthropic began deploying its technology publicly, starting off with a language model assistant named Claude. Anthropic is working with a broad range of early partners on deploying Claude and will be expanding access to the assistant in the coming months. Claude pairs RLHF with a variety of safety techniques built by Anthropic to make AI systems that are predictable, steerable, and easier to interpret. Claude runs on Google Cloud as will other systems developed by Anthropic.

Additional Resources

Keep up with the latest Google Cloud news on our newsroom and blog.
Learn more about Google Cloud TPUs here.

About Google Cloud
Google Cloud accelerates every organization's ability to digitally transform its business. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology – all on the cleanest cloud in the industry. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

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