Kalman Tiboldi - CTO & Founder at GemOne-TVH - Simplify or Die: Why Complexity Is the Real IT Challenge
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Poland 7-10-25 Invitation Only Virtual Polish
Eksperymanty z AI w developmencie trwają. Punktowo zaczynamy efektywnie stosować AI do różnych elementów w procesach wytwórczych i SDLC. A co ze stykiem z biznesem? Co z początkiem cyklu? Co z Product Managementem? Czy ty też AI zagości i zrewolucjonizuje procesy i role? Na ten temat swoją opinię i przemyślenia przedstawi nasz gość Rafał Zienkiewicz z Żabki, który w oparciu o dotychczasowe doświadczenia, zbudował swoistą odpowiedź na postawione pytanie o wpływ AI na obszar Product Managent.
Read MorePoland 8-10-25 Physical Polish
Jak połączyć innowacje w sztucznej inteligencji i zarządzaniu danymi z wymogami ładu korporacyjnego, zgodności i efektywności operacyjnej? W jaki sposób governance może wspierać rozwój nowoczesnych rozwiązań, zamiast je blokować?
Read MoreBelgium 9-10-25 Country Members Physical english
Today’s IT world moves faster than ever. New tools, new ways of working, constant updates! The real challenge? Making sure your people stay in the loop, up to speed, and ready to move. That’s why this year’s edition of Belgium’s Got Digital Talent is all about mastering knowledge flow, how to share the right know-how with the right people, at the right time. No more teams working in silos. No more vital info getting lost.We’re diving into practical ways to keep your teams smart, agile, and aligned. Whether you're leading an IT team, shaping digital strategy, or hiring tech talent, this event will give you the ideas, tools, and energy to turn fast change into a competitive edge.
Read MorePoland 9-10-25 Invitation Only Virtual Polish
Rohlig suus logistics weryfikuje w systemach kontrahentów (czy jest czynnym podatnikiem vat) oraz czy konta kontrahenta jest na białej liście. Przez ministerstwo jest udostępnione API, z którego można korzystać. Ale ma ono swoje limity (dosyć małe). Chcieliby się zorientować jak inne firmy (w szczególności większe) radzą sobie z tym zagadnieniem. Czy wykorzystują API ministerstwa, a może inne pośrednie rozwiązanie? Czy weryfikują wszystkich kontrahentów np. w nocy, czy pojedynczych adhoc.( Synchronicznie, czy asynchronicznie)."
Read MorePoland 10-10-25 Invitation Only Physical Polish
Złożoność współczesnych środowisk IT wymaga narzędzi, które pozwalają nie tylko szybko reagować na incydenty, ale także proaktywnie przewidywać problemy i optymalizować wykorzystanie zasobów. Podczas spotkania nasz gość – [...] – podzieli się doświadczeniami z wieloletniego wykorzystania IBM Instana do monitorowania aplikacji BSS oraz opowie o rozszerzeniu tych działań o IBM Turbonomic, który wspiera automatyzację i inteligentne zarządzanie zasobami. W trakcie dyskusji poszukamy odpowiedzi na pytania: Jakie praktyczne wnioski płyną z wieloletniego korzystania z IBM Instana? Jak pełna obserwowalność wpływa na szybkość reakcji i jakość usług? W jaki sposób rozszerzenie działań o IBM Turbonomic przekłada się na stabilność i koszty systemów? Jak połączyć monitorowanie w czasie rzeczywistym z ciągłą optymalizacją środowiska IT?
Read MoreBelgium 14-10-25 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 MoreGermany Oct 7, 2025 Country Members Virtual german
Alle nutzen KI, aber keiner weiß wie effektiv! Im Jahr 2025 sind wir als IT-EntscheiderInnen gefordert die Wünsche der Fachbereiche an Künstliche Intelligenz zu managen. Welche KI dient als Copilot für unsere Mitarbeitenden, inwieweit hat diese Zugang zu Firmenwissen und könnten wir heute bereits sinnvoll einen KI Agenten in die IT Systemlandschaft einbinden? Unser Business Partner Scheer PAS spricht als Anbieter einer Process iPaaS Plattform mit hunderten Unternehmen jedes Jahr über IT-Integration. In dieser Online-Session besprechen wir erste Reifegradmodelle zu KI, wo der deutsche Mittelstand sich befindet und wie wir die nächste Innovationsstufe erreichen. Wir teilen praktische Erfahrungen aus dem Marktumfeld und planen unsere nächsten Schritte in der Adaption von KI.
Read MoreNetherlands Oct 7, 2025 AB Members Physical dutch
De Advisory Board van CIONET NL komt samen. We bespreken de planning voor 2025 en discussiëren over specifieke en door de board aangedragen onderwerpen.
Read MoreSpain Oct 8, 2025 Country Members Physical spanish
En un mundo cada vez más acelerado y competitivo, la gestión y el análisis de datos ya no son suficientes. Las grandes compañías deben avanzar hacia un enfoque basado en eventos, impulsado por la automatización y la analítica predictiva, para anticipar cambios, prevenir riesgos y capitalizar oportunidades.
Read MoreBelgium Oct 9, 2025 Country Members Physical english
Today’s IT world moves faster than ever. New tools, new ways of working, constant updates! The real challenge? Making sure your people stay in the loop, up to speed, and ready to move. That’s why this year’s edition of Belgium’s Got Digital Talent is all about mastering knowledge flow, how to share the right know-how with the right people, at the right time. No more teams working in silos. No more vital info getting lost.We’re diving into practical ways to keep your teams smart, agile, and aligned. Whether you're leading an IT team, shaping digital strategy, or hiring tech talent, this event will give you the ideas, tools, and energy to turn fast change into a competitive edge.
Read MoreNetherlands Oct 9, 2025 Invitation Only Physical dutch
CIO Vision Dinner: GenAI & Smart Industry – Van Predictive naar Proactief
Read MoreUK Oct 9, 2025 Country Members Physical english
Join us on the evening of 9th October for dinner and discussion in the company of experts from BT and Cisco. Hosted at an exclusive venue, this is the perfect opportunity to network, exchange ideas with your peers and leave with actionable insights.
Read MoreGermany Oct 7, 2025 Country Members Virtual german
Alle nutzen KI, aber keiner weiß wie effektiv! Im Jahr 2025 sind wir als IT-EntscheiderInnen gefordert die Wünsche der Fachbereiche an Künstliche Intelligenz zu managen. Welche KI dient als Copilot für unsere Mitarbeitenden, inwieweit hat diese Zugang zu Firmenwissen und könnten wir heute bereits sinnvoll einen KI Agenten in die IT Systemlandschaft einbinden? Unser Business Partner Scheer PAS spricht als Anbieter einer Process iPaaS Plattform mit hunderten Unternehmen jedes Jahr über IT-Integration. In dieser Online-Session besprechen wir erste Reifegradmodelle zu KI, wo der deutsche Mittelstand sich befindet und wie wir die nächste Innovationsstufe erreichen. Wir teilen praktische Erfahrungen aus dem Marktumfeld und planen unsere nächsten Schritte in der Adaption von KI.
Read MoreNetherlands Oct 7, 2025 AB Members Physical dutch
De Advisory Board van CIONET NL komt samen. We bespreken de planning voor 2025 en discussiëren over specifieke en door de board aangedragen onderwerpen.
Read MoreSpain Oct 8, 2025 Country Members Physical spanish
En un mundo cada vez más acelerado y competitivo, la gestión y el análisis de datos ya no son suficientes. Las grandes compañías deben avanzar hacia un enfoque basado en eventos, impulsado por la automatización y la analítica predictiva, para anticipar cambios, prevenir riesgos y capitalizar oportunidades.
Read MoreBelgium Oct 9, 2025 Country Members Physical english
Today’s IT world moves faster than ever. New tools, new ways of working, constant updates! The real challenge? Making sure your people stay in the loop, up to speed, and ready to move. That’s why this year’s edition of Belgium’s Got Digital Talent is all about mastering knowledge flow, how to share the right know-how with the right people, at the right time. No more teams working in silos. No more vital info getting lost.We’re diving into practical ways to keep your teams smart, agile, and aligned. Whether you're leading an IT team, shaping digital strategy, or hiring tech talent, this event will give you the ideas, tools, and energy to turn fast change into a competitive edge.
Read MoreNetherlands Oct 9, 2025 Invitation Only Physical dutch
CIO Vision Dinner: GenAI & Smart Industry – Van Predictive naar Proactief
Read MoreUK Oct 9, 2025 Country Members Physical english
Join us on the evening of 9th October for dinner and discussion in the company of experts from BT and Cisco. Hosted at an exclusive venue, this is the perfect opportunity to network, exchange ideas with your peers and leave with actionable insights.
Read MoreWorkday 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.
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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.
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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Head of IT Germany and Regional Office Lead Munich, Microsoft
IT Director, IT Thinker
Vice president IT & Compliance, VisionaryRCM (A Carlyle Grp Company)
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