Belgium 30-9-25 Squad Only Virtual english
Everyone has technical debt. The question is what to do with it. Refactor now? Wait for the next feature? Build on it and hope it holds? If you’re tired of debating whether to clean up or move on, this session helps you frame the debt conversation in a way that supports both speed and stability.
Read MoreBelgium 1-10-25 Invitation Only Physical english
In today’s rapidly evolving technological landscape, organisations face a critical challenge: how to modernise their legacy systems while managing costs, maintaining security, and ensuring operational continuity. This exclusive round table discussion brings together CIOs, CTOs, and Digital Leaders to explore best practices for legacy and lifecycle management. Key topics include extending the lifespan of existing systems, mitigating cyber security risks, optimising costs, and integrating legacy platforms with modern technologies. We’ll also delve into sustainability, workforce challenges, and future-proofing IT infrastructures to navigate technological obsolescence.
Read MoreBelgium 2-10-25 Squad Only Virtual english
Architecture doesn’t happen in diagrams. It happens in minds, seasoned, curious, sharp minds that understand how the pieces fit. But who’s shaping these minds? Who’s growing the next generation of digital architects? If you’re responsible for complex systems, and for the people designing them, this session is for you.
Read MoreSeptember 30, 2025 Squad Session Squad Only Virtual english
Everyone has technical debt. The question is what to do with it. Refactor now? Wait for the next feature? Build on it and hope it holds? If you’re tired of debating whether to clean up or move on, this session helps you frame the debt conversation in a way that supports both speed and stability.
Read MoreOctober 2, 2025 Squad Session Squad Only Virtual english
Architecture doesn’t happen in diagrams. It happens in minds, seasoned, curious, sharp minds that understand how the pieces fit. But who’s shaping these minds? Who’s growing the next generation of digital architects? If you’re responsible for complex systems, and for the people designing them, this session is for you.
Read MoreOctober 14, 2025 Squad Session Squad Only Virtual english
Agile delivery often collides with inflexible infrastructures. One team wants to release weekly. Another is waiting six months for a new test environment. Sounds familiar? If your infra team is tired of being the bottleneck, and your devs are tired of waiting, this session opens a path forward.
Read MoreSnorkel 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.
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 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:
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:
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
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.
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Digital Transformation is redefining the future of health care and health delivery. All stakeholders are convinced that these innovations will create value for patients, healthcare practitioners, hospitals, and governments along the patient pathway. The benefits are starting from prevention and awareness to diagnosis, treatment, short- and long-term follow-up, and ultimately survival. But how do you make sure that your working towards an architecturally sound, secure and interoperable health IT ecosystem for your hospital and avoid implementing a hodgepodge of spot solutions? How does your IT department work together with the other stakeholders, such as the doctors and other healthcare practitioners, Life Sciences companies, Tech companies, regulators and your internal governance and administrative bodies?
Read MoreThe Telenet Business Leadership Circle powered by CIONET, offers a platform where IT executives and thought leaders can meet to inspire each other and share best practices. We want to be a facilitator who helps you optimise the performance of your IT function and your business by embracing the endless opportunities that digital change brings.
Read MoreDécouvrez la dynamique du leadership numérique aux Rencontres de CIONET, le programme francophone exclusif de CIONET pour les leaders numériques en Belgique, rendu possible grâce au soutien et à l'engagement de nos partenaires de programme : Deloitte, Denodo et Red Hat. Rejoignez trois événements inspirants par an à Liège, Namur et en Brabant Wallon, où des CIOs et des experts numériques francophones de premier plan partagent leurs perspectives et expériences sur des thèmes d'affaires et de IT actuels. Laissez-vous inspirer et apprenez des meilleurs du secteur lors de sessions captivantes conçues spécialement pour soutenir et enrichir votre rôle en tant que CIO pair. Ne manquez pas cette opportunité de faire partie d'un réseau exceptionnel d'innovateurs numériques !
Read MoreCIONET 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.
Read MoreWould you like to know more about CIONET Belgium, membership or partnership opportunities? Do you have feedback or any other question? Send us a message!
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!