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Belgium 20-10-2026 Squad Only Virtual English
Cloud decisions are becoming more selective. The challenge is deciding where each workload should run based on cost, performance, control, resilience, sovereignty, and business need. Three pressure points usually drive the decision. - Cost visibility becomes harder when usage grows across cloud services, data platforms, and AI workloads. - Performance and latency matter more when systems need fast access to data or support operational processes. - Sovereignty and resilience become critical when data location, continuity, vendor dependency, and exit options enter the discussion. The working question is simple: how do we place workloads where they create the most value while keeping the hybrid landscape manageable? If these trade-offs are on your agenda, let’s compare how others are handling similar choices.
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Belgium 10-11-2026 Squad Only Virtual English
Data platforms are meant to simplify access and support better use of data. The challenge is choosing and governing the platform landscape in a way that creates consistency, reuse, and long-term value. Three pressure points usually appear. - Platform choice becomes difficult when teams have different needs for speed, flexibility, cost, and control. - Business meaning needs protection: customer, revenue, product, risk, and FTE need shared definitions across tools. - Ownership and governance need to be clear, so platforms grow with accountability and discipline. The working question is simple: how do we give teams the data capabilities they need while keeping the platform landscape understandable, governed, and reusable? If these questions are familiar, let’s compare approaches with others facing the same data landscape.
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Belgium 13-11-2026 Squad Only Physical English
Many IT capabilities are essential and difficult to fund through a simple project ROI. The challenge is showing why architecture, governance, resilience, cybersecurity maturity, data foundations, and AI readiness deserve investment before the gap becomes expensive. Three pressure points make the case harder. - Shared value means the benefit often sits across several teams, while the budget sits in one place. - Timing creates friction because the cost is immediate while the value appears over time. - Risk translation is needed so business and finance leaders understand the consequence of delaying the investment. The working question is simple: how do we turn foundational IT capabilities into credible investment cases that link cost, risk, business value, and future flexibility? If you are building these cases internally, let’s compare how others are positioning value, risk, and timing.
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Published on: January 28, 2026 @ 9:48 AM
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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.
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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.
SOURCE Google Cloud
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CIONET’s Cyber Circle: a new three-event programme exclusively focusing on the most urgent, complex, and high-impact challenges in cybersecurity today. Launched in 2026, this initiative brings together CISOs, CIOs, and senior IT executives with a strong interest in cybersecurity for three curated gatherings each year. As part of CIONET’s trusted executive community, the Cyber Circle provides a confidential, peer-driven environment to exchange insights, share real-world experiences, and address evolving cyber threats. Each session is designed to foster strategic dialogue, strengthen resilience, and elevate cybersecurity as a core driver of business value.
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