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Gunter Van Craen - CDIO at Bekaert - Embracing Digital Transformation
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Belgium Dec 11, 2025 Country Members Physical english
Imagine being able to monitor, simulate, and optimise an entire city, factory, or supply chain in real time. Next-generation digital twins are making this vision a reality, transforming how we manage and understand complex systems. By creating dynamic virtual replicas of physical assets and processes, digital twins allow organisations to predict issues, optimize performance, and make data-driven decisions with unprecedented accuracy.This event will explore how digital twins are being used across industries to revolutionize the way we operate and maintain large-scale, intricate systems—whether it’s the infrastructure of a smart city, the efficiency of a factory floor, or the resilience of global supply chains.Examples of Digital Twins in Action:Smart Cities: Urban planners can use digital twins to simulate traffic flow, monitor energy usage, or predict the impact of weather events on infrastructure. This enables cities to optimize resources and improve the quality of life for their citizens.Factories of the Future: Manufacturing plants are leveraging digital twins to monitor equipment in real time, prevent downtime, and optimize production lines. With predictive analytics, factories can avoid costly breakdowns and improve overall efficiency.Supply Chain Management: Complex supply chains, spanning continents and industries, can be modeled as digital twins to track shipments, simulate disruptions, and optimize logistics. Businesses can reduce inefficiencies and respond faster to market demands.Key Themes:Real-Time Monitoring and Simulation: How digital twins provide real-time insights into complex systems, allowing for dynamic response and optimization.Predictive Power: Leveraging AI and data analytics, digital twins help organisations predict and mitigate issues before they happen, from equipment failures to supply chain bottlenecks.Scalability Across Ecosystems: Digital twins aren’t limited to individual assets—learn how they can be scaled across entire ecosystems like smart cities or global supply chains for maximum impact.Building Trust and Security: With digital twins handling critical infrastructure and sensitive data, what are the security and governance frameworks needed to ensure trust in these virtual systems?Why You Should Attend:Next-generation digital twins are no longer just a concept—they are revolutionizing industries by offering a new way to manage complexity. Whether you’re looking to optimize a city, factory, or supply chain, this event will provide practical insights into how digital twins can transform your organisation’s operations and drive future innovation.
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Germany Dec 15, 2025 Public Virtual german
Angesichts wachsender Cyberbedrohungen und der zunehmenden Automatisierung von Geschäftsprozessen blicken CIOs auf eine ereignisreiche Zeit zurück. Umso spannender ist die Frage, welche Herausforderungen und Chancen die IT-Welt künftig erwarten. ngesichts wachsender Cyberbedrohungen und der zunehmenden Automatisierung von Geschäftsprozessen blicken CIOs auf ein ereignisreiches Jahr 2024 zurück. Umso spannender ist die Frage, welche neuen Herausforderungen und Chancen die IT-Welt im Jahr 2025 erwarten.AA
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Belgium Dec 16, 2025 Invitation Only Physical english
This CIONET Round Table will focus on how the IT department can be the enabler that unlocks organisational efficiencies and helps to improve the employee experience. We will explore how CIOs and Digital Leaders can fundamentally transform the internal service experience by breaking down organizational silos, orchestrating complex cross-functional workflows, and leveraging a unified platform to deliver a truly frictionless experience for every employee.
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UK Dec 16, 2025 Invitation Only Physical english
At this CIONET executive roundtable – brought to you in association with UiPath – we’ll explore this question and more. Bringing together senior IT professionals from across multiple vertical markets, we will focus on the benefits of agentic AI as applied to end-to-end processes. And we’ll seek to understand how organisations might overcome automation barriers to drive greater value creation.
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Belgium Dec 18, 2025 Invitation Only Physical english
We look forward to brainstorming with you on how we can strengthen meaningful engagement among our participants, create valuable opportunities for visibility, foster peer-to-peer networking, and deliver impactful content. Your expertise and guidance will help shape our strategy for the coming year and ensure that we continue to provide the best possible value to our entire community. Together, we can build a stronger, more connected community that benefits us all.
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Germany Jan 19, 2026 Country Members Virtual german
Bei diesem „Spotlight“-Online-Event wird diskutiert, wie moderne Identity Security im Zeitalter autonomer KI-Agenten gestaltet werden kann. Teilnehmende erfahren, wie KI-Agenten als eigene Identitäten verwaltet werden, wie korrekte Zugriffsrechte für Mensch und Maschine sichergestellt werden und wie Zero-Standing-Risk-Ansätze vor modernen Bedrohungen schützen. Praxisnahe Einblicke unterstützen Unternehmen dabei, ihre Identity-Programme zukunftssicher auszurichten.
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Workday Accelerates Generative AI & ML Product Development Using Amazon SageMaker
Learn how Workday fuels engineering productivity by using Amazon SageMaker.
with customers’ data residency requirements
of inference requests
engineering workflows
improvement for ML inference
Overview
Workday Inc. (Workday), a leading provider of solutions that help organizations manage their people and money, is highly focused on putting its engineering effort toward developing products that have built-in artificial intelligence (AI) capabilities. To help free its engineers from infrastructure maintenance, Workday adopted Amazon SageMaker, a fully managed service that helps its teams build, train, and deploy machine learning (ML) models for any use case. By using AWS services, Workday’s engineering teams can rapidly iterate and deploy complex models, including large language models (LLMs), to production.
Opportunity | Using AWS Regions to Meet Data Residency Requirements for Workday’s Global Customers
Workday offers software solutions that help its customers make accurate decisions and drive performance across human resources planning, financial planning, supply chain management, and other areas of their operations. For years, Workday has been investing in AI to help its customers make the most of their operational data with AI/ML-driven insights. “We consider ML a core backend technology for Workday,” says Shane Luke, head of Workday AI. “Our goal is to make AI-based solutions that provide our customers with real value.”
Because the company serves a global customer base, Workday needs to run its ML inference in alignment with its customers’ data residency requirements. “We have customers who are very sensitive,” says Luke. “We came to the realization that we needed a federated, distributed system that could run in many regions.” While building out a backend for its ML, the company wanted to avoid investing in its own regional private clouds.
Workday’s teams found that they can run their workloads in the AWS Region of their choice, which has supported the company’s business growth. “Our global expansion has been done on AWS,” says Luke. “It really has been a key point for us. We can deliver regionality to customers based in Europe, the Middle East, and Asia. For us, that’s been a major win.”
“Using AWS, we’ve gone from scaling to a thousand inference requests to tens of millions that are coming in daily,” says Luke. “It’s been very rewarding to see.” Further, the company has been able to scale with virtually no downtime.
Using AWS, we’ve gone from scaling to a thousand inference requests to tens of millions that are coming in daily. It’s been very rewarding to see.”
Shane Luke
Head of Workday AI
Solution | Improving Inference Latency by Five Times Using Amazon SageMaker
For its generative AI use cases, Workday uses Amazon SageMaker to simplify searching, evaluating, customizing, and deploying LLMs. “Workday has been an early adopter of LLMs, and we are actively building new generative AI capabilities that will help our customers increase productivity, grow, retain talent, streamline business processes, and drive better decision-making,” says Eddie Raffaele, vice president of Workday AI. “Workday can quickly tap into the power of generative AI and realize its value by bringing the best solutions to customers safely and responsibly.”
To support collaboration across its global teams, Workday provides its engineers access to Amazon SageMaker Studio, a web-based, integrated development environment for ML. Workday’s engineers can then compare and evaluate new foundation models by using Amazon SageMaker Jumpstart, an ML hub with foundation models, built-in algorithms, and prebuilt ML solutions. “For tasks such as creating job descriptions, which must be high quality, we use the model evaluation capability in Amazon SageMaker and select the best foundation model that reflects our company’s priorities and metrics in a responsible way,” says Luke.
Workday’s engineering team has also adopted Amazon SageMaker Ground Truth Plus, which applies human feedback across the ML lifecycle to create and evaluate high-quality models. The team has used this solution across eight labeling use cases, including named entity recognition, entity linking, sentiment and theme analysis, and more. “There’s a lot of labeling and annotating that is needed to manage our LLM outputs and receive high-quality data within our guaranteed SLAs,” says Luke. “Amazon SageMaker Ground Truth Plus has become an intrinsic part of our LLMs.”
Next, its engineers can fine-tune their LLMs with high-quality data by using Amazon SageMaker Notebook Instances to prepare and process the data to train their LLM models. Workday’s engineers then deploy their models for inference to achieve optimal performance and costs while reducing operational burden. For example, Workday used Amazon SageMaker to pilot a closed-book ML application that could analyze job descriptions, invoices, and contracts. During this pilot, Workday saw its ML inference latency improve by a factor of five.
Workday also uses LLMs to power friendly, personalized reminders that help its customers stay on track with their project and organizational goals. “There are more than 13,000 tasks available through Workday,” says Luke. “We’ve built and trained an ML model for a tenant that delivers the three top task recommendations based on the user’s activity.” With these tools at their fingertips, Workday’s customers can maximize their operational efficiency and prioritize projects with data-driven insights.
Outcome | Experimenting with Generative AI Using Amazon Bedrock
Workday received early access to Amazon Bedrock, a service that provides the simplest way to build and scale generative AI applications with foundation models. Workday uses Amazon Bedrock to facilitate product prototyping and test multibillion-parameter ML models. “We’re able to rapidly experiment and identify which AI capabilities we should invest in and put in front of our customers,” says Luke.
The Workday team is also working toward immediate deployment of new features for its customers instead of rolling out features one region at a time. “We’re pleased with the flexibility that AWS has given us,” says Luke. “We can deliver value to our customers and scale horizontally.”
More than 10,000 organizations worldwide rely on Workday to manage their most valuable assets—people and money. Workday provides customers with efficient financial and human resources solutions that help facilitate decision-making and performance.
Gunter Van Craen - CDIO at Bekaert - Embracing Digital Transformation
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Raul Jimenez - Transforming Data and AI Governance at Sika
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Carla Milovanov - Navigating Transformation: Insights from Landal's CIO
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Claudio Balbo - Senior Director and Head of IT Architecture at Intesa Sanpaolo - Revolutionizing Core Banking
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Angélique Bidault-Verliac - CDPO, SNCF Connect & Tech - Data, AI, and Customer-First Transformation
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Rajat Dhawan - Group Chief Digital & Technology Officer at Soho House - How Data & AI Enhance Member Experiences
The role of the CIO has evolved from managing systems to shaping outcomes: growth, resilience, and competitive edge are now won or lost in the technology arena. Today ’ s CIOs must balance stability with innovation, control costs while attracting scarce talent, and modernise legacy infrastructure while adopting emerging technologies.
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.
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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