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September 16-18, 2024
Vienna, Austria
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Note: The schedule is subject to change.

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This schedule is automatically displayed in Central European Summer Time (UTC/GMT +2). To see the schedule in your preferred timezone, please select from the drop-down menu to the right, above "Filter by Date."

IMPORTANT NOTE: Timing of sessions and room locations are subject to change.

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Monday, September 16
 

11:20 CEST

Introducing Open Platform for Enterprise AI - Arun Gupta, Intel
Monday September 16, 2024 11:20 - 12:00 CEST
Enterprises face myriad of challenges when it comes to development and deployment of Gen AI solutions. The development of new models, algorithms, fine tuning techniques, detecting and resolving bias and how we deploy large solutions at scale continues to evolve at a rapid pace. There is a lack of standardized software tools and technologies to choose from. Additionally, enterprises want the flexibility to innovate rapidly, extend the functionality to meet their business needs while ensuring the solution is secure and trustworthy. This talk introduces Open Platform for Enterprise AI (OPEA), a new project under LF AI & Data Foundation. The mission of OPEA is to create an open platform project that enables the creation of open, multi-provider, robust and composable GenAI solutions that harness the best innovation across the ecosystem. You will learn more about the mission, how the project is going to solve it, see reference RAG implementations in action, partners, roadmap and how you can join and contribute to this effort.
Speakers
avatar for Arun Gupta

Arun Gupta

VP/GM, Open Ecosystem and OpenSSF GB Chair, Intel
Arun Gupta is vice president and general manager of Open Ecosystem Initiatives at Intel Corporation. He is an open source strategist, advocate, and practitioner for over two decades. He has taken companies such as Apple, Amazon, and Sun Microsystems through systemic changes to embrace... Read More →
Monday September 16, 2024 11:20 - 12:00 CEST
Room 2.31 (Level 2)

12:15 CEST

Sponsored Session: Beyond the Buzz: Navigating AI's Myths and Realities - Ezequiel Lanza, Intel
Monday September 16, 2024 12:15 - 12:55 CEST
Join us for an insightful discussion on artificial intelligence (AI), where we'll explore concepts like superhuman intelligence and the pursuit of general intelligence. Grounding our conversation in empirical reality, we'll also address the crucial role of licenses and open-source initiatives in shaping the AI landscape. Through a thorough examination, we'll clarify the implications of superhuman intelligence and assess our current proximity to its realization. While AI has made significant strides, achieving machines that surpass human cognitive abilities remains a distant goal. With a commitment to clarity, we'll navigate through exaggerated claims, revealing fundamental truths about AI's capabilities. Get ready for an engaging dialogue that challenges conventional perspectives and provides practical insights into the intersection of AI and reality!
Speakers
avatar for Ezequiel Lanza

Ezequiel Lanza

Open Source AI Evangelist, Intel
Passionate about helping people discover the exciting world of artificial intelligence, Ezequiel is a frequent AI conference presenter and the creator of use cases, tutorials, and guides that help developers adopt open source AI tools.
Monday September 16, 2024 12:15 - 12:55 CEST
Room 2.31 (Level 2)

14:15 CEST

The Open Source AI Definition Is (Almost) Ready - Stefano Maffulli, Open Source Initiative & Justin Colannino, Microsoft
Monday September 16, 2024 14:15 - 14:55 CEST
Defining Open Source AI is the most significant challenge facing the Open Source movement. Government regulations have begun, companies are calling AI systems “Open Source” even though their licenses contain restrictions and limitations that go against the widely accepted principles and freedoms of Open Source. The Open Source Initiative (OSI) presents its critical project: Defining Open Source AI. The talk will present the Release Candidate of the Open Source AI Definition, the result of multi-year, global, multi-stakeholder process. The session will be highly interactive, soliciting feedback to a standard that will surely have significant impacts on the world of AI and on the Open Source community at large.
Speakers
avatar for Justin Colannino

Justin Colannino

Assistant General Counsel, Microsoft
Justin has over a decade of experience representing clients at the intersection of free & open source software communities and for-profit enterprises. At Microsoft, he runs a small team that oversees legal processes to enable open source, standards, and open ML engagement at massive... Read More →
avatar for Stefano Maffulli

Stefano Maffulli

Executive director, Open Source Initiative
As the legislators accelerate and the doomsayers chant, one thing is clear: It’s time to define what “open” means in this context before it’s defined for us. AI is a controversial term and, for right now, the conversation about what to call this “open” definition is o... Read More →
Monday September 16, 2024 14:15 - 14:55 CEST
Room 2.31 (Level 2)

14:15 CEST

Towards Useful, Reliable, and Scalable AI Agents - Tomas Dvorak, IBM Research
Monday September 16, 2024 14:15 - 14:55 CEST
AI agents have the potential to unlock the next wave of enterprise productivity, but implementing them in production is a complex task. In this session, we'll delve into the key challenges of building agents that are not only useful but also safe, reliable, and scalable in real-world applications.  We will discuss and demonstrate with code the essential components of building AI agents and introduce the Bee stack, an open-source initiative by IBM Research to empower developers to build robust agentic applications.

By sharing our expertise and experience, we'll provide a starting point for developers and business leaders to unlock the full potential of AI agents in their organizations.
Speakers
avatar for Tomas Dvorak

Tomas Dvorak

Senior Software Engineer, IBM Research
Tomas Dvorak is a Senior Software Engineer at IBM Research, focusing on developing software solutions in generative AI and cloud-native applications. He has experience in designing and building complex systems and has a passion for open-source. Tomas was a core developer of IBM's... Read More →
Monday September 16, 2024 14:15 - 14:55 CEST
Hall M2 (Level 1)

15:25 CEST

Unleashing Collective Genius: Building GenAI Through Open Collaboration - Anni Lai, Futurewei
Monday September 16, 2024 15:25 - 16:05 CEST
Explore the transformative potential of open collaboration in shaping the landscape of GenAI. Generative AI Commons under LF AI & Data emerges as a beacon of collaborative innovation, dedicated to fostering openness and inclusivity in GenAI development. Within Generative AI Commons, dedicated workstreams drive forward key initiatives, including the Model Openness Framework (MOF), the Responsible AI Framework (RAF). The MOF advocates for transparent and accessible AI model development, democratizing research and accelerating progress. Complementing this, the RAF ensures ethical AI development, prioritizing transparency, fairness, accountability, and inclusivity to benefit society. Generative AI Commons serves as an incubator for diverse projects and initiatives, fueling innovation in GenAI. From cutting-edge research to collaborative tool development, the community thrives on open collaboration. Join us as we unveil the breadth of initiatives within Generative AI Commons, showcasing how open collaboration propels creativity and progress in GenAI. Together, let's harness the power of collaboration to shape a future where GenAI benefits all.
Speakers
avatar for Anni Lai

Anni Lai

Head of Open Source Operations and Marketing, Futurewei
Anni drives Futurewei’s open source (O.S.) governance, process, compliance, training, project alignment, and ecosystem building. Anni has a long history of serving on various O.S. boards such as OpenStack Foundation, LF CNCF, LF OCI, LF Edge, and is on the LF OMF board and LF Europe... Read More →
Monday September 16, 2024 15:25 - 16:05 CEST
Room 2.31 (Level 2)
  Open AI + Data Forum
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