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CIONET - What's next

Connecting ambitious digital leaders and businesses around the globe.

Catch up on the upcoming CIONET Events

             
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Germany Sep 25, 2025 Country Members Physical english

Munich: The Human Edge

Join us for an evening of thought-provoking discussions, real-world use cases, and insights from digital leaders, tech-pioneers and academics as we explore the dynamics of the human-machine relationship.

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Netherlands Sep 25, 2025 Invitation Only Physical dutch

Business Continuity & IT Resilience in 2025: Safeguarding Against Downtime and Disruptions

Alleen op uitnodiging. How can organizations proactively ensure business continuity and IT resilience in 2025 amidst increasing disruptions?

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Germany Sep 29, 2025 Country Members Virtual german

Online: AI & DATA Knowledge Transfer - Briefing 19

Unsere Wissensaustausch-Briefings "AI & Data Knowledge Transfer" zielen darauf ab, CIDOs und Senior Digital Leaders mit praktischen Anwendungen und umsetzbaren Erkenntnissen von Fachexperten zu vermitteln, die den Weg für transformative digitale Reisen ebnen.

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Germany Sep 30, 2025 Country Members Physical german

München: Unstrukturierte Daten – Das verborgene Kapital in deinem Unternehmen

Von der Theorie in die Praxis: Erst Business, dann Bier.Unstrukturierte Daten sind das verborgene Kapital vieler Unternehmen – und zugleich eine der größten Herausforderungen moderner IT. Gemeinsam mit CIOs, CDOs und CTOs der CIONET-Community sprechen wir zuerst bei WeWork München über Strategien, Technologien und echte Use Cases, um dieses Potenzial zu heben. Danach geht's weiter auf die Wiesn – für den offenen Austausch in bayerischer Atmosphäre.  

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UK Sep 30, 2025 Invitation Only Physical english

How CIOs drive game-changing results at scale?

This exclusive Jefferson dinner, hosted by Mendix and CIONET, brings together a hand-picked group of senior executives and digital leaders from across the UK financial sector.

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Netherlands Sep 30, 2025 Invitation Only Physical dutch

Vision Dinner From the Network to the Data

Alleen op uitnodiging. Mastering Digital Sovereignty Control, trust and resilience in an era of geopolitical and regulatory shifts. From the Network to the Data.

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Recent Cases

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Snorkel AI Teams with Google Cloud and Vertex AI to speed AI deployment

With Snorkel AI and Vertex AI enterprises can extract crucial information from complex documents.

Artificial intelligence is reshaping virtually every industry. Within the financial services sector, for example, McKinsey estimates that AI has the potential to generate an additional $1 trillion in annual value while Autonomous Research predicts that by 2030 AI will allow operational costs to be cut by 22%. And yet – despite AI’s potential – Gartner predicts that by 2024 half of current AI deployments will be either delayed or canceled outright.

The unfortunate reality is that despite spending millions on AI initiatives and assembling incredibly talented teams, most teams are struggling to achieve meaningful AI outcomes.

Snorkel AI and Google Cloud have partnered to help organizations successfully transform raw, unstructured data into actionable AI-powered systems. The combination of Google Cloud services with Snorkel AI’s data-centric AI platform accelerates training data curation for ML development 10-100x [1] and empowers enterprises to solve some of their most critical challenges by accessing all of their knowledge and data to build AI systems.

Snorkel Flow easily deploys on Google Cloud infrastructure, ingests data from Google Cloud data sources, and integrates with Google Cloud’s AI and Data Cloud services. Snorkel AI and Google Cloud are extending our partnership to include high-value integrations that further streamline MLOps workflows—for example, Snorkel Flow’s native integration with Google BigQuery and a new integration with Vertex AI to train and deploy powerful AI applications faster and at scale.

 

Snorkel AI redefines AI application development with a data-centric approach

Snorkel AI addresses the biggest blocker to AI deployment: the massive hand-labeled training datasets needed to train ML models. Enterprises have a treasure trove of valuable insights embedded in files, contracts, conversation transcripts, emails, and other unstructured formats. Labeling unstructured data for ML projects has traditionally involved humans tagging each data point manually. This time-consuming, labor-intensive process is costly – and often infeasible – when enterprises need to extract insights from volumes of complex data sources or proprietary data requiring specialized knowledge from clinicians, lawyers, financial analysis or other internal experts. Worst of all, when data drifts or business requirements inevitably change, the process restarts from scratch and experts have to spend their time relabeling massive amounts of data.

Snorkel AI solves this bottleneck with Snorkel Flow, the data-centric AI platform. Data science and machine learning teams use Snorkel Flow’s programmatic labeling technology to encode and combine knowledge from sources such as previously labeled data (even when imperfect), heuristics from subject matter experts, business logic, knowledge bases, and even foundation models and then scale it to label large quantities of data at machine speed. Users are able to rapidly improve training data quality and model performance using integrated error analysis and model-guided feedback to develop highly accurate and adaptable AI applications.

 

Fast-track production AI applications with Vertex AI

With training data creation unblocked, data scientists can harness the full power of Google Cloud’s end-to-end platform to fast-track AI applications and analytics development. Traditionally data scientists have had to engage other teams to set up infrastructure and serve models, complicating and delaying the process. Vertex AI accelerates the training and deployment of ML models in production by abstracting the most technically complex processes, empowering data scientists to focus on building world-class ML models without having to be involved in underlying infrastructure elements.

In addition to providing data scientists with the autonomy to productionize their models for batch or online serving, Vertex AI enables data scientists to continuously monitor data and models in production using Model Monitoring to detect training-serving skew or feature drift.  

 

Snorkel Flow + Google Cloud Vertex AI

Snorkel AI has partnered with Google Cloud to enable data scientists to quickly generate high-quality training data over complex, unstructured data sources, train custom ML models or fine-tune pre-built models including latest foundation models and LLMs, and rapidly deploy ML models into production. Snorkel AI is now making it even easier for organizations to train, deploy, and monitor models with the new Snorkel Flow integration for Vertex AI (currently in private preview).

Snorkel Flow’s integration with Vertex AI streamlines and accelerates the MLOps process:

  • Snorkel Flow consumes unstructured data from Google Cloud data services such as Google Cloud Storage (GCS) and BigQuery. Snorkel Flow integrates natively with BigQuery, enabling data scientists to access data with just a few clicks.
  • Data is labeled programmatically using a data-centric AI workflow in Snorkel Flow. Snorkel Flow includes templates to classify and extract information from unstructured text, native PDFs, richly formatted documents, HTML data, conversational text, and more.
  • Data scientists can use high-quality training datasets created with Snorkel Flow to train AutoML models for text classification or custom use cases in Vertex AI. Alternately, Vertex AI Endpoints can be used to rapidly deploy models trained in Snorkel Flow. 
  • Vertex AI Model Monitoring helps maintain model performance by detecting data and model drift.
  • When data drift is detected, input feature values can be submitted to Snorkel Flow as signal. It’s easy to quickly adjust parameters as part of Snorkel AI’s workflow and rapidly regenerate the entire training set so models can be retrained in minutes using Vertex AI.

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Real-World Impact

Top US banks, healthcare, insurance, and other Fortune 500 enterprises have used Snorkel Flow to extract information from complex documents such as 10-K reports, clinical trial protocols, technical manuals, rent rolls, legal contracts, and more.

The combination of Snorkel AI and Vertex AI equip organizations to address challenges specific to their business requirements using proprietary unstructured data. Example use cases include:  

  • Customize patient treatments using EHR data. Electronic Health Records (EHRs) contain rich information – clinical notes, laboratory results, diagnoses, etc. – that can be utilized to tailor specific treatments for each patient. Traditionally, training classifiers for named entity recognition (NER) and cue-based entity classification have relied on hand-labeled training data, which requires considerable domain expertise. Academic research and customer experience have proven that Snorkel can outperform hand labeling with much faster, explainable results.  
  • Save costs with predictive well maintenance. Oil companies generate massive volumes of unstructured data in daily drilling reports, well maintenance logs, and other files. Rich information is buried within tabular PDFs with variable formatting. With Snorkel Flow, one leading energy provider built an AI application in 3 days that reduced the time to extract information from oil well drilling reports from up to 3 hours per report to a few seconds.  


Better Together: Snorkel AI + Google Cloud

Snorkel AI, Google Cloud and Vertex AI partner to help organizations transform data into AI-powered systems faster than ever.

Together, Snorkel AI and Google Cloud enable Fortune 500 enterprises to operationalize unstructured data and accelerate AI to keep pace with rapidly evolving needs of the business.

“The accuracy of any machine learning model is only as good as the data it was trained on, which is why we are delighted to partner with Snorkel AI to help data science teams eliminate the bottleneck of manual labeling. The combination of Snorkel AI’s programmatic, data-centric approach to labeling with Google Cloud’s ability to help organizations build, deploy and scale efficient AI models is a game-changer. Together, we are helping enterprises capitalize on the promise of AI and large language models to improve business processes, innovate, and ultimately transform their businesses.”

 Dr. Ali Arsanjani, Director of Cloud Partner Engineering at Google Cloud

 

Learn More

We’re excited to team with Google Cloud to help accelerate AI development across industries. Schedule a custom demo tailored to your use case with our ML experts today.

 

References

[1] Snorkel AI documented customer results reflect 45x, 52%, 98% and similar improvements vs land-labeling https://snorkel.ai/case-studies/ 

Checkout our CIONET COOKBOOK

cookbook

Embark on a culinary journey through the ever-evolving world of digital leadership with our third edition of the CIONET Cookbook: Recipes for Digital Success. Unveiling the intricate trilemma faced by today’s Master Chefs, our trailblazing European CIOs address a challenge at the nexus of customer interests, digital transformation strategies, and IT modernisation. Their secret? Synchronising the gearing between customer, business, and technology to create a frictionless movement through the digital landscape.

The CIONET Cookbook uses the analogy of a five-star restaurant to explain the importance of optimally integrated technology, with the CIO as Master Chef. In order to provide the best service to its customers, a top restaurant must have the right atmosphere, an inviting menu, a well-equipped kitchen, talented and committed front-of-house and kitchen staff and smooth-running processes that ensure an enjoyable experience for diners.

CIONET TV

 
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Kalman Tiboldi - CTO & Founder at GemOne-TVH - Simplify or Die: Why Complexity Is the Real IT Challenge

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Isabelle Droll - CIO for Airline, Corporate, Hotels & Resorts and Sustainability at TUI - Data, Diversity, and Destinations

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Sharon Prior - CIO in transition - How Great Tech Leadership Begins with Business Thinking

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José Antonio López, Group CIO at TOUS - Jewels, Data & AI: Inside the Digital Transformation of TOUS

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Tom Tanghe - General Manager ITC EMEA at Daikin Europe - Reinventing the CIO Role

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CIOFEST 2025 - From Order Taker to Proactive Disruptor

CIONET Reports

 
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A research proposal_AI and the Human Experience

As AI transitions from a specialised tool to an all-pervasive force, understanding its profound implications for our human lives is no longer merely academic but an urgent imperative for social well-being and strategic preparedness.

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Cybersecurity in critical infrastructure

Geopolitical tensions have dominated the headlines for over two years now. In this context, the cyber threat landscape is also evolving rapidly. The protection and security of critical infrastructure – both physical and digital – is becoming increasingly important.

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HDS - From Hype to Reality Navigating the Challenges of GenAI

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Anna Kopp

Head of IT Germany and Regional Office Lead Munich, Microsoft

“The CIONET App allows us to learn from eachother and and find the courage to be authentic by hearing stories from others! Thanks to Tobias and the whole team for bringing us together:-) ”
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IT Director, IT Thinker

“The main things that I would like to get from our community of Digital Leaders are: networking, share experiences, share best practices and successful cases, and comments and recommendations about providers.”
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Vice president IT & Compliance, VisionaryRCM (A Carlyle Grp Company)

“The CIONET app provides a really cool platform to network and share insights.”

About CIONET

CIONET’s mission is to help IT executives become more at ease and above all more successful in their jobs. So they can do more than just keep up with change but ultimately define it. CIONET opens up a whole new universe of opportunities in IT management.

With the largest membership of corporate digital leaders across Europe, Latin America, US and Australia, CIONET has the expertise and pioneering vision to solve or address any IT management challenge.

Why join CIONET?

From our local and global events, from our publications and research to our executive education programmes, everything we do is aimed at making sure digital leaders maximise their potential.

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with digital leaders who share your interests, who face the same challenges, who care about the same topics.

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stories, experiences, and ideas around our shared mission.

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inspiration, thought-provoking conversations, expert perspectives and exclusive first-hand content each and every day

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We'd love to welcome you as the newest member of our CIONET community where Digital Leaders unite. 

You can either send us a registered handwritten letter explaining why you'd like to become a member or you can simply talk to us right here!

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