About this session

Is your AI strategy built for the future or locked into the past?

For years, enterprise AI has been dictated by closed, proprietary models — costly, opaque, and controlled by a handful of tech giants. DeepSeek R1 changes everything. This open-source powerhouse is not just keeping pace with GPT-4 and Claude 3.5, it is challenging them head-on, delivering state-of-the-art performance, long-context mastery, and reinforcement learning capabilities with a fraction of the computational overhead.

So, what does this mean for your business?

It means the AI advantage is no longer exclusive — it is yours to harness. It means you now have a scalable, transparent, and cost-effective alternative to Big Tech’s black-box solutions. It means the power to drive innovation, reduce dependency, and redefine AI adoption at scale is in your hands.

In this session, AI visionaries Dan McCreary and Justin Grammens will break down how DeepSeek R1 is rewriting enterprise AI strategy and what you must do now to stay ahead of the curve.

Discussion Points:

• Massive Scale & MoE Efficiency – How DeepSeek R1’s MoE model achieves high performance while optimizing inference efficiency?
• State-of-the-Art Performance – Benchmark comparisons proving its superiority in reasoning, coding, and mathematical problem-solving.
• Reinforcement Learning Breakthrough – The first open model to achieve high-level reasoning via RL without supervised fine-tuning.
• 128K Context Mastery – Outperforming most open models in long-context tasks and rivaling GPT-4 Turbo and Claude 3.
• Smaller Distilled Variants – How DeepSeek’s smaller models (32B, 14B, 7B) bring AI capabilities to single-GPU deployments?
• Comparison to Closed Models – Competing head-to-head with GPT-4 and Claude 3.5 while remaining fully open-source.
• Industry Adoption & Ecosystem Impact – DeepSeek’s integration into Azure AI Foundry, Hugging Face, and enterprise AI solutions.
• Accelerating Open-Source AI – How it has pushed major players like Meta and Alibaba to enhance their open AI offerings?
• Strategic Consequences – How DeepSeek R1 is pressuring Big Tech to innovate in multimodal AI, extended context, and self-reflective learning?
• Democratizing AI Innovation – The shift in power from centralized AI control to global AI accessibility.