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Kalman Tiboldi - CTO & Founder at GemOne-TVH - Simplify or Die: Why Complexity Is the Real IT Challenge
Germany Oct 20, 2025 Country Members Virtual german
Die Realisierung des Potenzials von KI und datengesteuerten Strategien stellt nicht länger nur einen Wettbewerbsvorteil dar, sondern ist Heute auch entscheidend für den langfristigen Erfolg eines jeden Unternehmens. Unsere Wissensaustausch-Briefings "AI & Data Knowledge Transfer" zielen darauf ab, CIDOs und Senior Digital Leaders praktische Anwendungen aufzuzeigen und umsetzbaren Erkenntnissen von Fachexperten zu vermitteln, die den Weg für die transformative digitale Reise ebnen und beschleunigen.
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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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Crypto.com Delivers Accurate Sentiment Analysis in 1 Second with Generative AI on AWS
Crypto.com uses Amazon Bedrock with Amazon SageMaker Studio to run an efficient architecture that delivers nuanced, domain-specific crypto market insights to 100 million global users.
to return results from large language models
to integrate Claude 3 models
Delivers localized multilingual content
Helps engineers continually test new models
Crypto.com is a crypto exchange and comprehensive trading platform serving 100 million users in 90 countries. To improve the service quality of Crypto.com, the firm implemented generative artificial intelligence (AI)-powered sentiment analysis services on AWS to generate market insights.
Crypto.com uses Anthropic Claude 3 large language models on Amazon Bedrock for sentiment analysis and application development, and Amazon SageMaker to fine-tune its custom models. With the top models on AWS, the company can deliver accurate sentiment analysis in less than 1 second, and efficiently train and adjust new models in a rapidly evolving market.
Crypto.com was founded in 2016 with a bold mission: to bring cryptocurrency to every wallet. The company distinguishes itself from other trading platforms through its strong focus on driving user adoption, with a wide network of partners including merchants and payment gateways. Crypto.com currently serves around 100 million users in 90 countries.
With such rapid growth and a diverse customer base—all within an evolving, competitive industry—Crypto.com has embraced generative artificial intelligence (AI) to quickly deliver optimized customer experiences. The company’s AI use cases include conversational assistants for onboarding and customer queries, plus wizards to generate social media marketing campaigns.
In generative AI applications, sentiment analysis and news narrative categorization are becoming increasingly vital; particularly in the cryptocurrency space, investors need timely and accurate market intelligence to make informed decisions. Crypto.com provides a market insight service where users can access the latest news and information from both crypto and traditional news sources to gain insights from the company’s intelligence engines. Each subscription is tailored to the user’s trading level and the coins in their wallet.
Crypto.com employs a range of off-the-shelf machine learning (ML) models alongside its own custom models for sentiment analysis. However, developers encountered challenges with the limitations of open-source models and the high cost of self-hosting large language models (LLMs). They also faced accuracy issues with outputs generated by open-source models, especially when dealing with multilingual news sites. Consequently, Crypto.com sought a more effective solution to integrate and synthesize outputs from multiple ML models—both pre-trained and custom—to provide accurate, reliable, and comprehensive insights into the crypto market.
Generative AI on AWS services like Amazon SageMaker and Amazon Bedrock streamlined our adoption of the latest LLMs and AI technologies. We can now take innovative ideas from POC to full-scale production in weeks.”
Sunny Fok
SVP, Head of AI Innovation Technology at Crypto.com
Crypto.com has run on Amazon Web Services (AWS) since its launch, so when it sought new LLMs for sentiment analysis, Anthropic Claude 3 on Amazon Bedrock was a logical choice. These LLMs are highly scalable and process vast amounts of data in real-time, facilitating comprehensive market research. Initial results showed that LLMs on Amazon Bedrock returned results very quickly, typically within one second.
Integrating Amazon Bedrock eliminated the manual effort, extra cost, and computational constraints of self-hosting LLMs. Within one month, Crypto.com had implemented Anthropic Claude 3 Haiku models on Amazon Bedrock for sentiment analysis, collecting and analyzing crypto news in more than 25 languages. The firm also utilizes Amazon Bedrock for ongoing proofs of concept (POCs) and development. Sunny Fok, head of AI & innovation technology at Crypto.com, says, “Generative AI on AWS services like Amazon SageMaker and Amazon Bedrock streamlined our adoption of the latest LLMs and AI technologies. We can now take innovative ideas from POC to full-scale production in weeks.”
To ensure domain-specific knowledge is applied in model output, Crypto.com used its own data to fine-tune open-source models including Mistral AI and Meta Llama on Amazon Elastic Compute Cloud (Amazon EC2). This approach is crucial when a new coin appears on the market, as off-the-shelf models often deliver subpar results. Crypto.com then began using Amazon SageMaker as an on-demand, end-to-end ML development platform to fine-tune its custom models.
Raymond Lam, senior engineer at Crypto.com, says, “Amazon SageMaker provides the tools and APIs to easily adapt our models with a user-friendly interface. Similar to Amazon Bedrock, we only need to run machine learning jobs as needed, and it’s much easier to manage custom modeling than if we were doing it on our own.”
Crypto.com received extensive support from AWS throughout the idea generation, POC, and production phases of multi-agent deployment. "We had several discussions on what tools or frameworks to deploy for different use cases,” says Lam. “The AWS team shared existing use cases, provided sample code, and demonstrated each step. When technical issues came up, AWS solutions architects helped troubleshoot and offered suggestions, which sped up our onboarding to generative AI on AWS services."
By implementing a multi-agent consensus-seeking solution for sentiment analysis on AWS, Crypto.com can efficiently deliver accurate, comprehensive, and localized crypto market insights to its global user base. Fok explains, "We can share more instant, updated news with users on the sentiment of coins—whether they’re bullish or bearish, for example. Users become more informed, which means they can make better-planned investments." Engineers have also noted improved accuracy for large-context QE with Claude 3 models on Amazon Bedrock.
Furthermore, with Amazon Bedrock, Crypto.com benefits from highly scalable models that automate insight generation to save time and resources. “We’re becoming more efficient with ready-to-use models we can access via API, which gives us more flexibility in development,” Lam says. “With generative AI on AWS, we have more options for different use cases or requirements, so we can easily test new models as they come out.”
Crypto.com is currently exploring new use cases for Claude 3 models on Amazon Bedrock, such as processing documents, tables, and charts. Initial tests have shown promising results in terms of accuracy compared to ML-driven optical character recognition (OCR) readers on the market. The company is also actively developing new generative AI use cases, such as capturing sentiment in social media.
Customers have expressed satisfaction with the work underway, which encourages Crypto.com to keep testing ways to deploy generative AI across the organization. “The feedback from our generative AI projects has been quite amazing, both internally and from our users,” Fok shares.
Crypto.com is on a mission to accelerate the world’s transition to cryptocurrency. With approximately 100 million users across 90 countries, the Singapore-based company offers a trading platform, derivative exchanges, and more. Crypto.com also partners with merchants and payment gateways to support the development of a global crypto network.
Kalman Tiboldi - CTO & Founder at GemOne-TVH - Simplify or Die: Why Complexity Is the Real IT Challenge
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Sharon Prior - CIO in transition - How Great Tech Leadership Begins with Business Thinking
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José Antonio López, Group CIO at TOUS - Jewels, Data & AI: Inside the Digital Transformation of TOUS
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Tom Tanghe - General Manager ITC EMEA at Daikin Europe - Reinventing the CIO Role
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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.
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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