Vincent Caldeira
Leading Open Source Technology Innovation for a Sustainable Future
Singapore
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Vincent Caldeira, CTO of Red Hat in APAC, is responsible for strategic partnerships and technology strategy. Named a top CTO in APAC in 2023, he has 20+ years in IT, excelling in technology transformation in finance. An authority in open source and cloud-native technologies, Vincent frequently speaks on data analytics, AI/ML, and IT sustainability. He is a Technical Advisor of OS-Climate, a member of the GSF Green AI Committee, FINOS Technical Oversight Committee and CNCF TAG Sustainability.
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Topics
Sovereign AI in Action: Advancing India’s Digital Future with Open Source Infrastructure
India’s pursuit of Sovereign AI—the ability to build and run AI systems within national borders—is fast becoming a strategic imperative. This session explores how open source principles and infrastructure are accelerating India’s journey toward digital self-reliance, highlighting collaboration between local cloud providers and the open source community.
Discover how a leading Indian datacenter and cloud provider is building a sovereign cloud platform that supports AI aligned with India’s regulatory, cultural, and linguistic landscape. With scalable, GPU-powered infrastructure and open frameworks, this platform empowers enterprises to train and deploy AI models securely and responsibly.
We’ll also showcase community-driven approaches to model customization that reduce barriers for domain experts and enable more relevant, safer AI. Learn how open tooling supports transparent governance, data residency, and innovation across sectors—from finance to healthcare.
Join us to see how open ecosystems are shaping India’s inclusive, self-reliant AI future.
Operationalizing Openness: Standardizing AI Model Supply Chains with the Model Openness Framework
As AI systems proliferate, ensuring transparency, trust, and traceability across the model supply chain has become a critical challenge. The Model Openness Framework (MOF), developed by LF AI & Data and Generative AI Commons, offers a standardized classification system to evaluate the completeness and openness of AI models across 17 key components—from architecture to evaluation code and documentation. This talk will explore how the MOF addresses model "openwashing" and supply chain risk by establishing clear standards for licensing and disclosure. We will demonstrate how enterprises can operationalize MOF compliance using open source tools like OCI-based model packaging, model signing, and automated documentation pipelines. Attendees will gain practical insights into aligning with emerging governance requirements and building trustworthy, reproducible AI systems through open collaboration.
Multi-Layered Guardrails for Cloud-Native AI: Enforcing Compliance and Safety at Scale
As AI-powered cloud-native applications evolve, ensuring trust, compliance, and robustness requires dynamic governance mechanisms that operate seamlessly across distributed environments. This keynote introduces a multi-layered cloud-native framework that enforces AI guardrails at three critical stages: pre-processing (input validation), inference (real-time bias mitigation), and post-inference (output validation).
By leveraging Kubernetes orchestration, Istio service mesh, and knowledge graphs, the framework enables scalable AI governance that integrates multi-agent coordination, real-time intervention, and traceability to ensure AI decisions remain transparent, auditable, and aligned with compliance requirements.
Attendees will gain insights into cloud-native AI governance patterns, practical deployment strategies, and the role of multi-agent oversight in ensuring compliant, production-ready AI workflows within Kubernetes environments.
From Containers to Cognitive Agents: Open Source Foundations for Enterprise-Grade AI Systems
As AI evolves from isolated model development to system-level deployments, enterprise AI engineers face increasing complexity in tooling, governance, and operational workflows. This session explores how open source technologies—Podman Desktop, RamaLama, and Llama Stack—can streamline the design and delivery of secure, scalable, and reproducible agentic AI systems. Attendees will follow an end-to-end user journey: starting from secure container-based local experimentation, advancing through modular multi-agent RAG workflows, and culminating in OCI-compliant model packaging and Kubernetes-native deployment. We’ll dive into practical strategies for integrating model governance via the LF AI & Data Model Openness Framework, achieving robust supply chain security, and enabling observability across the AI lifecycle. Whether you're building internal AI platforms or modernizing MLOps, this session reveals how open tooling empowers teams to confidently operationalize next-gen AI systems at enterprise scale.
Scaling AI Responsibly: Building Ethical, Sustainable, and Cloud-Native AI Systems
Panel Discussion - As AI continues to reshape industries, organizations face mounting pressure to scale AI systems responsibly while addressing challenges in efficiency, sustainability, and trust. This panel convenes leading experts to discuss how cloud-native technologies and CNCF projects are paving the way for scalable, ethical, and resource-efficient AI. Attendees will gain actionable insights into optimizing AI workflows, reducing environmental impact, and ensuring transparency in AI decision-making. From leveraging open-source tools to implementing cost-effective and ethical AI practices, this session will equip you with the knowledge to build AI systems that are both innovative and responsible. Discover how to harness the power of cloud-native ecosystems to drive AI transformation without compromising on sustainability or trust.
AI/ML engineers and data scientists looking to scale AI systems in cloud-native environments.
OS-Climate: A Data-Driven Open Source Approach to Climate-Aligned Finance Investing
LF OS-Climate (OS-C) is a breakthrough initiative creating a transparently governed public utility of open data and open source tools for climate-aligned finance investing, business, and regulation. This session explores the launch of a global open-source collaboration to create the most potent tool for data-driven decisions in transition strategies, investments, new technologies, and policies. We will present OS-C's comprehensive technical infrastructure and methodologies, fostering the development of open data products that address the challenges of climate transition. A critical focus will be the Data Mesh architecture, pivotal for federating diverse climate data sources and achieving Net Zero objectives. Additionally, we'll introduce a new open data product, essential for financial institutions to disclose quantitatively the degree of alignment/non-alignment to Paris goals of the $87 Trillion in sovereign bonds making up about a third of all pension fund and insurance investments globally, a vital step for the Net-Zero Asset Owner Alliance (AOA) and Glasgow Financial Alliance for Net Zero (GFANZ) members towards realigning commitments to Net Zero.
Trust in Green: Towards a Cloud Native Approach for Building Sustainable and Reliable Enterprise AI
As organisations increasingly integrate AI solutions, the demand for environmentally sustainable practices within this space has never been more critical. This presentation delves into the collaborative effort between the Cloud Native Computing Foundation (CNCF) AI WG and the TAG Environmental Sustainability to define a repeatable design approach aimed at fostering sustainable AI in cloud-native environments. Our discussion will outline the crucial considerations in such approach, including efficient management of compute resources, storage optimisation, and advanced networking solutions. Attendees will gain insights into the lifecycle of AI/ML deployments, from inception through operation, emphasising resilience, scalability, and resource efficiency. By highlighting innovative "green" strategies, this session will provide actionable best practices and recommendations, alongside a forward-looking perspective on future trends and research directions in sustainable AI.
Green AI in Cloud-Native Ecosystems: Strategies for Sustainability and Efficiency
The rapid proliferation of AI is increasing focus on the environmental costs associated with large-scale model training and deployment. As cloud-native technologies form the backbone of modern AI systems, the Cloud Native Computing Foundation (CNCF) is spearheading efforts to balance AI innovation with sustainability. This session will provide an overview of the CNCF effort to identify key areas, techniques, and best practices for energy-efficient AI in cloud-native environments. Attendees will gain insights into a newly developed taxonomy that categorises remediation patterns and sustainable practices across AI lifecycle phases, deployment environments, and personas.
We will also explore real-world applications and discuss reference architectures that provide means to optimise resource use, such as GPU slicing for inference efficiency, power capping during training, and carbon-aware scheduling, while maintaining performance and scalability.
OS-Climate and Unity Catalog: Pioneering Open Source ESG Data Sharing
In the rapidly evolving landscape of ESG data, financial institutions face the dual challenges of data fragmentation and security. This session will explore OS-Climate's innovative use of open source technologies, including Apache Iceberg, Apache Spark and the Unity Catalog, the industry's only universal catalog for data and AI, to enable secure and efficient ESG data sharing across financial institutions. Through this session, participants will gain insights into the strategic benefits of leveraging open source tools for ESG data management, including enhanced data security, governance, and interoperability. In particular we will demonstrate how Unity Catalog Unity's multimodal interface supporting various data formats and engines supports compatibility across diverse data ecosystems to facilitate seamless integration and governance of data assets, allowing financial institutions to not only meet regulatory compliance but also to harness ESG data for strategic advantage.
KubeCon + CloudNativeCon India 2024 Sessionize Event
Open Source in Finance Forum New York 2024 Sessionize Event
Open Source Finance Forum London 2024 Sessionize Event
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