Data Science ATL

Unlike traditional AI systems limited to narrow tasks, Agentic AI leverages advanced autonomy, contextual reasoning, and adaptive planning to tackle complex workflows and dynamic enterprise environments.

This webinar dives deep into the architecture, methodologies, and tools required to design and deploy intelligent AI agents capable of end-to-end automation and decision-making.

Explore the critical features that enable Agentic AI—such as goal-directed actions, natural language understanding, and adaptive execution—and learn how to engineer systems that operate reliably and transparently in real-world scenarios.

Key Takeaways:

1️⃣ Architecting Intelligence: Discover the core principles and innovations behind Agentic AI, including large language models, contextual memory, and autonomous decision-making.
2️⃣ Designing for Adaptability: Learn how to build systems that dynamically plan, adapt, and execute workflows across changing environments and goals.
3️⃣ Balancing Power with Transparency: Understand the importance of oversight mechanisms, governance, and explainable AI to build trust and ensure responsible use of autonomy.

PANELISTS TO BE ANNOUNCED SOON

As governments worldwide embrace AI to drive innovation and efficiency, ensuring data sovereignty is more critical than ever. Sovereign AI offers a framework for maintaining control over sensitive data, enforcing regulatory compliance, and safeguarding national interests. But how can organizations ensure that AI-driven initiatives align with data sovereignty principles while leveraging the full potential of artificial intelligence?

This webinar will explore best practices for securing AI infrastructures within government frameworks, addressing key challenges such as data residency, compliance with national and international regulations, and risk mitigation in AI deployments. Experts will share insights on how governments can balance innovation with control, ensuring AI systems remain transparent, accountable, and aligned with sovereign security policies.

Key Takeaways:

1️⃣ Defining Sovereign AI: Understanding the principles of AI sovereignty and why it matters for government agencies.

2️⃣ Data Control Strategies: Best practices for keeping AI-generated and processed data within national jurisdictions.

3️⃣ Regulatory and Compliance Considerations: Navigating data sovereignty laws and ensuring compliance with frameworks like GDPR, CCPA, and national security regulations.

4️⃣ Secure AI Infrastructures: How to build and deploy AI models in sovereign cloud environments or on-premises government-controlled systems.

5️⃣ Mitigating AI Risks: Strategies to prevent unauthorized access, bias, and security threats in government AI deployments.

PANELISTS TO BE ANNOUNCED SOON

High-Performance Computing (HPC) is the backbone of industries that rely on complex simulations and data-intensive computations, from financial services to manufacturing. With AI-driven innovations, organizations can significantly enhance HPC efficiency, streamline workflows, and optimize simulations for faster, more accurate results.

This webinar will explore how AI can be seamlessly integrated into traditional HPC infrastructures without relying on Pretrained AI (PCAI) models. Industry experts will discuss real-world applications in high-level synthesis (HLS), financial services (FSI), and manufacturing, showcasing the transformative power of AI-driven HPC. Join us to learn how AI can elevate your HPC workloads, reduce computational bottlenecks, and drive new levels of performance and automation in your industry.

Key Takeaways:

1️⃣ AI-Driven HPC Optimization: How AI enhances traditional HPC infrastructure for improved simulation accuracy and efficiency.
2️⃣ Workflow Automation with AI: Using AI to streamline and optimize HPC workflows across industries.
3️⃣ Industry-Specific Applications: Real-world case studies in HLS, FSI, and manufacturing where AI transforms HPC workloads.
4️⃣ Future of AI in HPC: Emerging trends and strategies to ensure AI integration aligns with evolving industry needs.

PANELISTS TO BE ANNOUNCED SOON

The AI revolution is accelerating, and enterprises need scalable, high-performance infrastructure to keep up. The NVIDIA and HPE AI Factory is designed to provide end-to-end AI capabilities, empowering organizations to develop, deploy, and scale AI workloads with unprecedented efficiency.

Join this webinar to explore how NVIDIA Accelerated Computing platforms integrate seamlessly with HPE’s robust computing, storage, and networking solutions. Learn how enterprises across industries are leveraging the AI Factory model to streamline AI operations, optimize performance, and accelerate innovation—whether in research, manufacturing, financial services, or beyond.

Key Takeaways:

1️⃣ AI Factory Fundamentals: How NVIDIA and HPE collaborate to deliver scalable AI infrastructure.
2️⃣ Optimized AI Workflows: Streamlining AI model training, inference, and data management at enterprise scale.
3️⃣ Industry Applications: Real-world use cases showcasing AI Factory’s impact across sectors.
4️⃣ Future of AI at Scale: Trends and innovations shaping the next generation of AI-driven enterprises.

PANELISTS TO BE ANNOUNCED SOON