How To Navigate Generative AI For Your Business

Dive into generative AI with industry experts as they demystify popular misconceptions and offer real-world guidance on strategies to integrate gen AI in your business.
Moderated by:

Mindy Cancila, VP, Corporate Strategy, Dell Technologies

Why Zero Trust matters more than ever in the era of GenAI

In the ever-evolving landscape of cybersecurity, the Zero Trust model has emerged as a vital defense mechanism. But with the rise of generative AI (GenAI) technologies, the importance of Zero Trust is amplified to new heights. In this presentation, we’ll shed light on why Zero Trust is not merely a buzzword but an essential component of a secure digital environment in the GenAI era. We’ll cover the Zero Trust paradigm and how it relates to GenAI and other cyber threats and discuss how to tailor it to GenAI with real-work insights from Cloudflare on how you can future proof your security.

John Engates, Field Chief Technology Officer, Cloudflare

It’s Time to Rewrite the Script on Incident Response

We’ve seen this movie before. Ransomware strikes. The business goes dark. Yes, there is a Disaster Recovery plan, but it’s stored online and the servers can’t be accessed. Email is down and phones are dead. How long can your business survive? Having a plan is only part of the story. Putting it into practical application is another. In this session, we’ll share where we see companies missing the mark and discuss strategies that will help you rewrite the ending on this doomsday disaster scenario.

Harry Zarek, President & CEO, Compugen

Accelerate your path to GPT & LLM while keeping control of your data

Many enterprises are grappling with how to quickly, efficiently and securely take advantage of the power of generative AI and AI/ML applications, especially for use cases that cannot be run in the public cloud because of data sovereignty, governance and privacy concerns. New use cases emerge every day as organizations look to leverage generative AI to improve customer service, developer productivity, operational efficiency and more. From automated transcription of internal documents, to high-speed search of multimedia contents, and automated analysis, many organizations see the opportunity with AI but are struggling with growing concerns regarding intellectual property leakage, compliance and privacy. Additionally, organizations looking to build an AI-ready stack often struggle with how to best support ML administrators and data scientists, while the prospect of large AI investment costs has enterprises stalled in their AI and ML strategy. Watch this session to learn how you can easily procure AI-ready infrastructure to fine-tune and run generative pre-trained transformers (GPT), including LLMs at the edge or in your own datacenter.

Debojyoti Dutta, VP of Engineering (AI), Nutanix

Security Within Customer Identity (EspreSSO Shot Series)

Catch an episode of Okta’s EspreSSO Shot Series where our CIAM Specialist, Luis Santos, demonstrates Security Within Customer Identity. Building modern identity is crucial to seamless CX. But building it internally calls for high security risks. This is due to needing the ability to scale apps at a high rate in order to level with competitors. But as a result, you sacrifice time, money, and security. Luckily, we can help with that.

Luis Santos, CIAM Specialist, Okta

AI Network - What you need to know

AI Networking comes with several challenges that will need to be understood to get the most out of the environment. These challenges include but are not limited to: Data Quality and Availability, Scalability, Real-Time Processing, Adaptability and Robustness to name a few. Understanding all the moving parts of an AI network, as some continue to evolve, requires investment in time to learn advanced networking concepts and related functions. The pervasive nature of Ethernet makes it the technology of choice for next-generation network infrastructures and in particular AI Networking. By itself, Ethernet does not address all the stringent needs of an AI Network and will require additional higher-level protocols and functionality. This short presentation provides an overview of the technological challenges that will need to be considered when designing an infrastructure to address the requirements of an AI Network. This includes a walkthrough of the current and/or emerging technology trends, features, and functions to address or overcome the identified challenges. Enough details will be provided to aid the viewer in understanding the content provided. This is not meant to be a deep dive discussion on all areas of AI Networking but instead provides the viewer with a high-level understanding of what they need to know about AI Networking. In summary, AI networking holds great promise for improving network efficiency, security, and performance, but it also comes with a range of technical, ethical, and operational challenges that need to be addressed for successful integration.

Pradeep Jothimani, System Engineering, Arista Networks

Generative AI: Unlocking Business Value with GenAI

GenAI, driven by advanced machine learning, is transforming industries by creating diverse content like text, images, music, and videos. This recording showcases how GenAI sparks innovation, boosts engagement, streamlines operations, and personalizes experiences. Real-world cases illuminate its potential in product development, content creation, and customer interactions. Ethical concerns are addressed, stressing responsible and transparent GenAI use. Businesses integrating GenAI strategically gain a competitive advantage by fostering creativity, efficiency, and customer-centric operations.

Sheriff Lawal, Senior Solutions Architect Lead , Elastic

Optimize your spend through a digital infrastructure strategy

Today, organizations are presented with a unique opportunity to revolutionize their spending practices through strategic integration of Cloud Computing, Data Analytics, Automation, Artificial Intelligence and Machine Learning. This approach helps ready themselves for what’s next through an investment in Digital Infrastructure which, therefore, enables Digital Transformation. In this presentation, Equinix will highlight how they support organizations on their digitalization journey not just to optimize, but to grow as well.

Sanjeevan Srikrishnan, Sr. Manager, Global Solutions Architecture and Engineering, Equinix Canada