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Gunter Van Craen - CDIO at Bekaert - Embracing Digital Transformation
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Belgium Dec 4, 2025 Invitation Only Physical english
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.
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International Dec 9, 2025 Public Virtual english
The CIONET Awards 2026: Part 1, the premier celebration of excellence in digital mission and leadership. During this event the spotlight falls on two of the most critical arenas in modern enterprise: Applications & Architecture and Data & AI. Prepare for a dynamic session where each nominee will present their groundbreaking achievements.
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Netherlands Dec 9, 2025 Invitation Only Physical english
Digital transformation and ongoing economic uncertainty are intensifying the pressure on IT leaders to do more with less. In this environment, gaining precise control over IT costs—while continuing to deliver effective, efficient, and innovative technology operations—is more critical than ever. At this exclusive CIONET Executive Roundtable, hosted in partnership with It’s Value, we will explore how Technology Business Management (TBM) principles can help CIOs and IT leaders make data-driven financial decisions that drive measurable business value. Key Discussion Themes Turning data insights into smarter IT investment decisions Setting priorities for cost optimisation and maximising ROI Quantifying and communicating the business value of IT initiatives Evaluating the principles of FinOps and the implications of public, private, and hybrid cloud environments for cost management Embedding effective change management to drive adoption and alignment Achieving tangible business outcomes from AI initiatives while maintaining fiscal discipline The evening will also feature a fireside chat with Sunil Anand, Global Head of Technology Business Management at National Grid. Sunil will share practical lessons and key milestones, retracing the National Grid cost management journey. This dinner offers a unique opportunity to: Exchange experiences with peers facing similar challenges Gain insights from TBM experts and industry practitioners Reassess your own IT financial strategy in a relaxed, collegial setting Join us for an evening of insight, discussion, and connection—designed to help you strengthen IT’s role as a true business value driver.
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Italy Dec 10, 2025 Invitation Only Physical italian
Questa roundtable esclusiva offrirà a CIO, CISO e Leader di ITOps/Engineering un confronto diretto per individuare le migliori strategie di Innovazione che, attraverso l'observability, ottimizzino il Return of Investment.
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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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Netherlands Dec 11, 2025 Invitation Only Physical dutch
Navigating tommorrow's threatscape: Cybersecurity insights for digital leaders. Op 28 november in de 3D Makers Zone in Haarlem.
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Unilever leverages GPT API to deliver business value
The CPG titan has created AI tools using neural networks to help it respond to messages from customers, generate product listings, and even minimize food waste.
The past several years have thrown numerous challenges at consumer packaged goods (CPG) companies. The pandemic has led to shifting consumer channel preferences, a supply chain crunch, and cost pressure, to name just a few. CPG titan Unilever has been answering the challenge with analytics and artificial intelligence (AI).
The 93-year-old, London-based CPG company is the world’s largest soap producer. Its products include food and condiments, toothpaste, beauty products and much more, including brands like Dove, Hellmann’s, and Ben & Jerry’s ice cream.
Alessandro Ventura, CIO and vice president of analytics and business services for North America at Unilever, has been at the forefront of helping the company apply AI to its businesses for years. While originally in the role of IT director, he has since added analytics and people services to his portfolio.
“That’s everything from facility management, fleet management, employee and facilities
Unilever believes AI is not a technology of tomorrow. It’s already being widely used, and Ventura feels all industries will need to adapt to it.
In recent months, Unilever has developed a number of new technology applications to help its lines of business in the markets of tomorrow. One of the most important is “Alex,” short for Alexander the Great. Alex, powered by GPT API, filters emails in Unilever’s Consumer Engagement Center, sorting spam from real consumer messages. For the legitimate messages, it then recommends responses to Unilever’s human agents.
“Although Alex is good at what it does, it may lack a bit of a personal touch that instead our consumer engagement center agents have in big quantities,” Ventura says. “So, we let them decide whether they want to respond to our consumer as Alex suggested, or they want to add some personal recommendation; if the answer suggested by Alex is wrong or doesn’t have an answer, they can flag it so Alex can learn it the following time.”
Alex was created using a system of neural networks, with GPT API for content generation. Ventura says the tool can understand what a consumer is asking and even capture the tone. It can then store the answer and sentiment in Salesforce. Importantly, he says, the tool does the heavy lifting on those tasks, giving the human agents more time to dedicate to what they do best. To date, Ventura says Alex has helped Unilever reduce the amount of time agents spend drafting an answer by more than 90%.
Another Unilever tool, called Homer, leverages GPT API to generate content. It’s a neural network that takes a few details about a product and generates an Amazon product listing, with a short description and long description that matches the brand tone.
“We want to ensure we captured the voice of the brand so, for example, that we differentiate between a TRESemmé and a Dove shampoo, and the system got it absolutely nailed,” Ventura says.
Another AI-based tool that Unilever launched on the week of US Thanksgiving supports the Hellmann’s mayonnaise brand. Its purpose is to reduce food waste.
“It links up with the recipe management system that we have at Hellmann’s, so somebody can go in and select two or three ingredients that they have in the fridge and get in exchange recipes for what they can do with those ingredients,” Ventura says.
In the first week, the tool got 80,000 users who reported loving it.
For Ventura, that’s the magic of analytics and AI in the CPG space: It enables personalization at scale.
“In CPG, we rely more and more on analytics and AI for different things,” he says. “Consumers are more and more specific about what they want. It’s a bit of a cliché, but they really do want personalized products and experiences. Analytics helps CPG to understand the context they’re navigating through and what the consumer wants, and then, with AI, we can scale that one-to-one relationship across all the multitude of consumers that we have.”
Beyond the consumer relationship, analytics and AI are also key to making CPG companies more sustainable. Ventura points to examples like ingredient traceability and usin
g machine learning (ML) to automate forecasting, which in turn helps the company minimize waste. Unilever is also applying analytics and AI to logistics, including tracking inventory and optimizing routes.
“The old interpretation of elasticity, we threw it out the window,” Ventura says of operations in the wake of the inflation crisis. “We had to come up with new calculations because the traditional ones were giving us very different scenarios from what we were seeing happening at the shelves. Going forward, we will continue to see that pressure from all the different challenges coming from the geopolitical situation around the world.”
To support its innovation around analytics and AI, Unilever has adopted a hybrid model. It has a global center of excellence, but also keeps some data scientists embedded with business units.
“It’s basically a two-gear system,” Ventura says. “The local team can be activated very quickly, ingest the data very quickly, and then create a statistical model and analytics model together with the business, sitting next to each other. Then, if that model can be leveraged across and scaled, we pass it on to the global team so they can move data sets in the global data lake that we have and can start creating and maintaining that model at a global level.”
Ventura believes co-creation and co-ownership of analytics and AI capabilities with the business function is essential to success.
“Whether it is machine learning for automating the forecast or Alex with the Consumer Engagement Center, if we show up with a black box and say, ‘Hey, follow whatever the machine tells you,’ it will take a long time and probably will never get to 100% trust in the machine,” Ventura says. “With co-creation and co-ownership, I feel like we get to start with the right foot, with the human and the machine working alongside each other in partnership, almost as colleagues. Also, you get a much less biased system in the end because you’re able to introduce a much more diverse angle in your algorithms, both from a business perspective and a technology perspective.”
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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