Webinar “Winning with AI: Empowering a Successful AI and Data Strategy”

Are you ready to explore the transformative power of AI? In this engaging webinar, industry leaders from NVIDIA, HPE, Novo Nordisk Foundation, Eviden, AI of Sweden and Digital Realty get together to dive into the latest advancements. Learn how to architect a winning AI strategy and unlock the full potential of the data economy in your business. 
Whether you’re a beginner or an experienced professional, you’ll gain valuable insights and practical knowledge to help you navigate the AI landscape.

Here are some of the key insights and takeaways to help guide you in your AI journey:

• Infrastructure investment: Robust and scalable infrastructure is essential to support AI and data-driven operations at enterprise scale.
• Strategic partnerships: Collaborating with the right partners is key to fully unlocking AI’s potential.
• Advanced software solutions: Leveraging language models allows companies to turn vast amounts of data into actionable knowledge.
• Clear outcome goals: Defining the desired outcomes and scale is vital for successfully leveraging AI and ensuring alignment with business objectives.
• Integration and compliance: Integrating AI solutions within existing enterprise systems while ensuring regulatory compliance is critical for sustainable growth.

Watch the On-Demand webinar now and discover how AI can transform your future!

FAQs

What is an AI Ready Data Center?
An AI Ready Data Center is a data center designed and optimized specifically to support the computational and storage demands of artificial intelligence workloads. Unlike traditional data centers, these are built with advanced infrastructure to handle the unique challenges posed by AI technologies, such as high-performance computing (HPC), large-scale data storage, and intensive processing power.

What is AI with private infrastructure?
AI with private infrastructure refers to deploying artificial intelligence solutions on a private, on-premises environment or private cloud rather than using public cloud services. This model is typically preferred by organizations that need more control over their data, have stringent regulatory requirements, or require enhanced security and privacy.

What are the benefits and challenges of performing AI training and inference in public clouds?
Running AI training and inference in public clouds offers significant advantages, such as scalability and cost efficiency, but it also presents challenges like security concerns and latency issues. Organizations must carefully weigh these factors to determine the best approach for their AI initiatives.

Digital Realty offers single cabinets to suites to entire data centers, delivering seamless, low-latency/high-bandwidth connections and robust security, ensuring compliance and enhanced performance.

What are the benefits and challenges of performing AI training and inference in hybrid clouds?
Hybrid clouds provide a balanced approach for AI training and inference, combining the strengths of both on-premises and public cloud infrastructures. While they offer significant benefits such as flexibility and enhanced security, organizations must navigate the challenges of complexity, data transfer, and potential vendor lock-in to maximize the effectiveness of their AI initiatives.