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Kalman Tiboldi - CTO & Founder at GemOne-TVH - Simplify or Die: Why Complexity Is the Real IT Challenge
Belgium Oct 21, 2025 Invitation Only Physical english
In today's competitive landscape, customer expectations have never been higher. They demand a personalised, seamless experience at every touchpoint, from initial marketing contact to post-sale service. Unified data is at the heart of creating engaging customer experiences and is meant to fuel the 360 profile. However, for many organizations, a complete picture of the customer is fragmented, with critical data scattered in disconnected systems and departments. This exclusive roundtable will bring together Digital Leaders active in multiple industries to discuss a critical challenge: breaking down data silos to build a true 360° view of the customer. We will explore how to solve the complex integration challenges that prevent a unified view, and how to transform disparate data into a single source of truth. Join us to: Discover how to overcome the technical hurdles of integrating critical business systems, such as ERP and CRM platforms, to unify customer data. Explore real-world case studies on how organisations have successfully created unified customer insights to enhance personalisation and boost commercial and operational efficiency. Discuss best practices for turning fragmented data into actionable insights that can anticipate customer needs, drive revenue growth, and foster long-term loyalty. This is a unique opportunity for Digital Leaders who are ready to transform their customer engagement strategy and unlock the full potential of their data.
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Spain Oct 22, 2025 Country Members Physical spanish
Descubre cómo las organizaciones están utilizando la tecnología para impactar en el negocio a través de casos reales de uso y aprendizajes clave en áreas como ciberseguridad, automatización o data, contados por los protagonistas. Un espacio diseñado para inspirarte, conectar con expertos y potenciar la innovación en tu organización.
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Belgium Oct 22, 2025 Invitation Only Physical english
Enterprises are questioning whether private networks and stacked firewalls are still worthwhile investments. A newer approach operates on the open internet with Zero Trust, eliminates perimeter complexity, and reframes cybersecurity as a business performance metric for boards and audit committees. This is a closed-door, peer discussion, not a lecture. We’ll examine the promise and its pitfalls: Are the promised savings significant, or are they too good to be true? What risks do you introduce? How does this collide with your installed base, legacy OT, entrenched processes and team competencies, and how do you overcome that without breaking operations or credibility with the board? Two senior leaders from global companies will spark the dialogue with lived experience: Kurt De Ruwe, CIO AkzoNobel Frank Bolata, CIO Syensqo
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Poland Oct 23, 2025 Invitation Only Physical Polish
Cloud UP! ’25 to miejsce spotkań managerów, którzy chcą świadomie i skutecznie rozwijać swoje organizacje, wykorzystując najnowsze technologie. Nieformalnym hasłem tegorocznej edycji jest “Chmura gotowa na AI” - będziemy rozmawiać o tym, co sztuczna inteligencja naprawdę potrafi oraz pokazywać, jak wdrażać ją w praktyce. Wspólnie z ekspertami przeanalizujemy, jakie warunki muszą zostać spełnione, aby wdrożenia AI były zarówno skuteczne, jak i bezpieczne. Zerkniemy za kulisy najnowszych rodzimych produktów AI-owych, by zobaczyć ich możliwości, a także poznamy najciekawsze wdrożenia z wykorzystaniem Agentspace. Po raz kolejny spotkamy się w formule Share.Explore.Execute. Stawiamy na wymianę wiedzy i doświadczeń zdobytych podczas realizacji projektów. To one stanowią punkt wyjścia do odkrywania, testowania i skutecznej implementacji najlepszych rozwiązań w organizacjach. Cloud UP! ’25 to cztery ścieżki tematyczne, na które złożą się prezentacje, rozmowy, sesje live-demo oraz pogłębione dyskusje w formule roundtables: AI: Beyond the Hype Data Mastery Resilience & Regulatory Advanced Practitioners Dołącz do liderów chmurowych innowacji w Polsce i spotkaj się z nami już 23 października w Event Hall w Fabryce Norblina.
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Belgium Oct 23, 2025 Invitation Only Physical english
How to lead responsibly when technology can deceive better than a human? AI’s ability to shape our perceptions and create new realities is becoming increasingly sophisticated. While it opens significant opportunities, it also carries risks. What happens when AI goes beyond data and algorithms to influence - or even deceive - our senses? How does this change not only our understanding of reality but also the foundations of trust, creativity, and truth in business? AI isn’t just transforming business, it is altering how we experience and interpret everything around us. From AI-generated deepfakes to personalised experiences designed to influence behaviour, the line between truth and illusion is increasingly blurred. This event combines a roundtable discussion among peers with a hands-on sensory workshop, where you will experience illusions through sight, sound, taste, smell, and touch. Through these experiments, we will confront the ethical dilemmas that arise when AI has the power to fabricate realities and influence decisions.
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Germany Oct 23, 2025 Country Members Physical german
Längst ist klar: Die KI-Transformation im Unternehmen beginnt mit der richtigen Dateninfrastruktur. Auf dem Weg zu einer “Enterprise AI-Engine”, in der Unternehmen KI für die eigenen Daten effizient nutzbar machen, müssen bewährte Fundamentals jedoch nicht gleich über Bord geworfen werden. Der CIO im Zentrum eines strategischen Transformationsprozesses sollte vor allem die richtige Balance zwischen Bestand und Innovation finden. Die zentrale Frage lautet daher: Wie lassen sich modernste KI-Technologien in hybriden Umgebungen nutzen, wenn viele Daten noch in gewachsener Infrastruktur liegen? Genau diese Fragestellung – und die nachfolgenden Diskussionspunkte – greifen wir am 23. Oktober im Rahmen eines exklusiven CIDO Roundtables auf.
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DC Water hunts lost water with analytics
Predictive analytics and AI are helping the District of Columbia’s water authority discover water main and sewer pipe breaks proactively.
The District of Columbia Water and Sewer Authority (DC Water) delivers about 900 million gallons of drinking water a day via 1,300 miles of pipes, and operates the worlds largest advanced wastewater treatment plant, processing an average of about 300 million gallons a day. Thomas Kuczynski’s mission is to deliver analytics throughout the organization, or, as he puts it, to get out of the report business.
“I want to be in the data business,” Kuczynski says. “I want to be here exposing a reliable, auditable source of information to the people that need to make the decisions.”
Kuczynski is CIO and vice president of IT at DC Water and president of DC Water’s wholly owned nonprofit affiliate, Blue Drop, which is responsible for generating non-ratepayer revenue to help minimize the impact of rate increases on DC Water customers.
“We’ve made a significant investment in certain areas, largely focused on what we refer to as ‘non-revenue water,’” Kuczynski says. “We’re spending a lot of time on the operations side building predictive analytics tools for predicting water main breaks so we can be more proactive in eliminating them rather than responding to them. We’re doing some work now in what is typically referred to in the electric industry as ‘outage management.’”
Much of the focus of DC Water’s efforts is on eliminating “unaccounted for water,” which is the difference between the water pumped into the system, and the water consumed, measured by an advanced meter reading (AMR) system. Some of that unaccounted for water is the result of legitimate uses, such as the city’s fire suppression efforts via DC Water’s more than 9,000 fire hydrants.
“As you eliminate all those, there’s a remainder of water that’s being consumed by the system somehow, but it’s not being billed,” Kuczynski says. “It could be because of inaccurate metering — oversized meters that run slow because there’s not enough volume, meters that are degrading and have to be recalibrated.”
So Kuczynski and his team are putting a variety of data sources to work in building a set of dashboards and routines to isolate where the majority of that loss is occurring and “home in on specific areas where the overall loss is significantly higher than in other portions of the system, and then apply other types of analytics to try to determine why,” he says.
Analytics in action
Kuczynski’s team is building digital platforms and linking them to DC Water’s SCADA and process control system (PCS). SCADA manages and controls DC Water’s distribution and collection system, while PCS operates the Blue Plains Advanced Wastewater Treatment Plant. By integrating those systems with its customer systems and GIS platform, DC Water is able to perform spatial analysis as events are occurring.
“When heavy rain falls, we’re able to monitor the performance of the collection systems and also potential customer complaints about flooding to be more proactive about responding to those on the water delivery side,” Kuczynski says.
The analytics also enables DC Water to compare the consumption of similar users (such as hotels or laundromats) to look for outliers. Doing so helps the organization identify potential leaks or bad meters. It’s even helped the organization discover broken pipes in abandoned properties.
The most sophisticated analytical tool DC Water has is Pipe Sleuth, a sewer assessment solution developed at Blue Drop that uses AI to review CCTV footage to assess sewer pipe status in real time.
“It uses an advanced, deep learning neural network model to do image analysis of small diameter sewer pipes, classify them, and then create a condition assessment report,” Kuczynski says.
Prior to Pipe Sleuth, operators had to review each frame of footage manually and tag any defects they saw. A certified engineer would then look at the tagged footage and classify the defects.
Kuczynski, who has been DC Water’s CIO since 2013, says the organization started implementing analytics in a comprehensive and focused way about two years ago.
“Some of that ramp up was educating people around digital analytics and data science, creating and exposing the digital assets that we had available to us,” he says. “Largely it was focused on individual systems first, like understanding how well individual groups of workers were performing particular types of jobs relative to the population as a whole.”
Those efforts were fairly straightforward but helped the team gain experience. About a year ago, they started aggregating different sources of information, such as bringing together billing data and meter data from the AMR system and blending it.
“We’re getting more and more sophisticated,” Kuczynski says.
A matter of trust
The initial education component at DC Water consisted of centralizing data sources, providing access to them, and helping individuals understand how those resources could aid decision-making processes.
“Part of it is really educating people about the power of some of these tools and their ability to be more precise in their predictions, and getting people comfortable, especially when the answer comes out and you don’t necessarily always see the process through which that happens,” Kuczynski says.
Helping others gain trust in predictive analytics tools is essential, and it may mean working through the answer a model provided to either confirm it or cancel it out. Kuczynski points to the tool for predicting water main breaks. It’s accepted wisdom in a lot of circles that water main breaks occur due to cold weather, and they are more frequent in colder parts of the year. That said, the tool also has to predict water main breaks during warm parts of the year.
“If your goal is to solve the main break problem, then you have to solve it in its entirety, not just for that one part of the year,” he says. “It’s actually more about rapid fluctuations in temperature that cause the ground to surge and cause dislocations in a pipe.”
Ultimately, the goal of all these efforts is to drive down water loss between 2% and 5%, roughly 1.8 million to 4.5 million gallons per day. Every 1% of “found water” that was previously unmetered is worth about $4 million to the organization.
“You want to look at those problems that are persistent challenges for your organization and ideally have a revenue component or efficiency component associated with them,” Kuczynski says. “It’s always easier to sell something that saves you something, whether that’s real dollars or something that improves a process significantly.”
Kalman Tiboldi - CTO & Founder at GemOne-TVH - Simplify or Die: Why Complexity Is the Real IT Challenge
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CIOFEST 2025 - From Order Taker to Proactive Disruptor
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.
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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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