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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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AI21 Labs Collaborates with Google Cloud to Integrate Generative AI Capabilities with BigQuery

AI21 Labs is using Google Cloud infrastructure to speed its model training and inferencing.

Leading AI research startup, running on Google Cloud's AI/ML infrastructure, to bring industry-specific generative AI capabilities to BigQuery

SUNNYVALE, Calif., Aug. 29, 2023 /PRNewswire/ -- Google Cloud today announced a new collaboration with AI21 Labs, an Israeli startup that fundamentally changes the way people read and write using generative AI and large language models (LLMs). AI21 Labs is leveraging Google Cloud's purpose-built AI/ML infrastructure to speed its model training and inferencing, and is also one of the first partners to offer generative AI features on top of BigQuery.

As a result of AI21 Labs' and Google Cloud's collaboration, customers can now use BigQuery connectors and functions to natively integrate several industry-specific generative AI capabilities. For example, retail customers can now use generative task-specific APIs for creating product descriptions or extracting insights from customer reviews, while financial services companies could use them to quickly analyze reports.

AI21 Labs has deployed Google Cloud's home-grown AI supercomputers, Tensor Processor Units (TPUs), for training and serving its advanced LLMs. By leveraging Google Cloud TPUs, AI21 Labs can take advantage of the same custom-designed, machine-learning infrastructure that powers many Google products. In combination with Cloud TPUs, AI21 Labs also benefits from Google Cloud's extensive portfolio of GPU VMs, including the recently announced A3 VMs powered by NVIDIA H100 GPUs. Google Cloud's open approach to AI development and leadership in custom silicon equips AI21 Labs with a more seamless experience rooted in its scalable, secure, and stable infrastructure.

"Google Cloud's vast portfolio of impressive AI hardware is why we chose to work with the company, and we're proud to now double down on expanding our generative AI solutions alongside them," said Ori Goshen, Co-CEO and co-founder, AI21 Labs. "Our partnership with Google Cloud has had a profound effect on our work to advance the possibilities of artificial intelligence and natural language processing, and today's news of our deepened collaboration marks an important step forward in that journey."

"AI21 Labs is a leading generative AI startup that is taking advantage of the incredible performance that Google Cloud's leading infrastructure offers," said Thomas Kurian, CEO, Google Cloud. "Our new BigQuery integrations are a great example of how we are working together to bring the value of generative AI to businesses in every industry."

To explore LLM-based capabilities from AI21 Labs, visit its website. To learn more about the AI/ML infrastructure powering AI21 Labs, visit cloud.google.com/tpu.

Additional Resources

Keep up with the latest Google Cloud news on our newsroom and blog.
Learn more about Google Cloud's BigQuery here.
Learn more about Google Cloud TPUs here and Cloud GPUs here.
Learn more about AI21 Labs here.

About Google Cloud
Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology, and tools that help developers build more sustainably. 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.

SOURCE Google Cloud

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Google Cloud A3 instances Google Cloud TPUs

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