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Belgium 9-6-26 Invitation Only Virtual english
Data availability keeps growing, but decision-making often feels slower. Every function builds its own dashboards, metrics multiply, and reports begin to contradict each other. What was meant to improve transparency now creates confusion. The problem is not access to data but alignment on interpretation. When information becomes noise, confidence in reporting collapses. People hesitate to act, functions challenge each other’s numbers, and trust in analytics erodes. The challenge lies in restoring clarity: deciding which metrics matter, who owns them, and how reporting connects back to action. Let’s discuss how to simplify information flows, define consistent metrics, and reconnect dashboards with decision-making. How ownership, cadence, and shared understanding bring alignment back. A closed conversation on rebuilding confidence in data, where clarity replaces overload and information once again supports action.
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Belgium 10-6-26 Invitation Only Physical english
In the middle of the night, 200 miles from the coast, the alarm sounds. The "Man Overboard" cry isn't just about a person in the water; it’s the ultimate test of a crew’s preparation, psychological grit, and split-second communication. For the modern European CIO, the "Man Overboard" moment happens in the data centre, the boardroom, or the headlines. When the system fails, the pressure doesn't just sit on the servers; it sits on you. Join CIONET for an exclusive VIP evening at the coast, a deep dive into the Human and Digital Anatomy of a Crisis. We will explore why some leaders thrive under the crushing weight of a "Black Swan" event while others capsize, and how data serves as the steady keel that keeps the ship upright.
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Belgium 12-6-26 Invitation Only Physical english
AI started small: a few pilots, some dashboards, a couple of chatbots. But then it spread, quickly. Now every department wants a model, every vendor adds “AI-powered” to their pitch, and every regulator is asking about risk and transparency. Governance suddenly went from a nice idea to a full-time job. Scaling governance is harder than launching AI. Policies look great on slides, but in practice, ownership blurs and enforcement stalls. Central control slows things down, while local freedom invites risk. Everyone agrees AI should be safe and ethical, but no one agrees on who signs off when something goes wrong, all leading to AIs living as permanent PoCs. So how do you scale oversight without creating bureaucracy? How do you distribute responsibility between IT, business, and compliance? And what controls actually hold up when AI keeps changing after deployment? Let’s explore how organisations make governance part of daily operations, not an afterthought. A closed conversation for those trying to keep AI credible, compliant, and under control while it spreads across the enterprise.
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June 9, 2026 Squad Session Invitation Only Virtual english
Data availability keeps growing, but decision-making often feels slower. Every function builds its own dashboards, metrics multiply, and reports begin to contradict each other. What was meant to improve transparency now creates confusion. The problem is not access to data but alignment on interpretation.
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June 12, 2026 Squad Session Invitation Only Physical english
AI started small: a few pilots, some dashboards, a couple of chatbots. But then it spread, quickly. Now every department wants a model, every vendor adds “AI-powered” to their pitch, and every regulator is asking about risk and transparency. Governance suddenly went from a nice idea to a full-time job.
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June 18, 2026 Squad Session Invitation Only Physical english
Becoming event-driven sounds like the logical next step: real-time visibility, faster response, tighter integration. The promise is appealing, no? But turning that vision into reality is another story. Where do you start, with technology, operating model, or mindset?
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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
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
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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CIONET is committed to highlighting and celebrating female role models in IT, Tech & Digital, creating a leadership programme that empowers and elevates women within the tech industry. This initiative is dedicated to showcasing the achievements and successes of leading women, fostering an environment where female role models are recognised, and their contributions can ignite progress and inspire the next generation of women in IT. Our mission is to shine the spotlight a little brighter on female role models in IT, Tech & Digital, and to empower each other through this inner network community.
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