Ethical AI is the new code of conduct and we’re in the midst of an industrial revolution based on synthetic intelligence.

Ready to move beyond ChatGPT experiments and truly leverage generative AI in your enterprise? Join us as we dive into five transformative strategies that will elevate your organization from a casual AI user to an industry leader. In this session you’ll learn how to:

• Assess your AI readiness (hint: your existing infrastructure may be more AI-friendly than you realize).

• Implement AI successfully using best practices tailored to your organization.

• Create AI Ethics and Responsible AI policies that serve as a cornerstone for sustainable success.

• Stay ahead of the AI curve with proven, innovative techniques.

• Upskill your team and smoothly transition to AI-augmented workflows.

Whether you’re at the start of your AI journey, or looking to refine your existing strategies, this session will equip you with actionable insights to build a future-ready, AI-forward organization.

Tired of traditional chat bots? Come see what all the fuss is about and we’ll show you a new way forward… and a new way to chat.

We understand that traditional chatbots fall short, and that is why we built Conversational AI based on the MS Natural Language Processor. With the insight of millions of IT ticket records, we can better match intent data and help you action the queries with an underlying integration & automation layer. TeamDynamix Conversational AI will help you take your IT Service to a new level.

• Leverage the MS Natural Language Processor
• Pre-loaded with IT Intent Data
• Incorporate Forms, Integration & Workflow
• Multi-channel chat with Live Agent Failover

AI is revolutionizing industries, and cloud security is no different. Generative AI can significantly accelerate, simplify and improve an organization’s security posture. But what about the security risks in AI models? In this session, we will explore how GenAI is reducing Enterprise IT workloads and enhancing cloud security, while also introducing new risks. Join AI experts at Orca Security to learn about the five most common AI model risks, including data leakage and tampering, and how to prevent them.

Discover the future of workplace efficiency with AI-powered Digital Employee Experience. Join Tim Flower, Nexthink’s VP of DEX Strategy, as he outlines the path from reactive to preventative IT management. During this session, Tim will explore practical applications for generative AI today and provide foresight into the future of AI in DEX. Learn how AI-driven insights can drive cost efficiencies, streamline IT operations, and boost employee productivity by solving problems before they occur.

Red Hat has been instrumental in driving many open source community efforts around artificial intelligence and machine learning (AI/ML) technologies for more than 6 years through the Open Data Hub project. Open Data Hub is a fully open project that supports end-to-end AI/ML workflows running in containers on Red Hat® OpenShift®, a Kubernetes-powered application platform. Many organizations have used some of the technologies curated in the Open Data Hub project—such as Jupyter, TensorFlow, Pytorch, Kubeflow, and Ray—to jumpstart their own do-it-yourself efforts aimed at creating a core data science platform to build intelligent applications.
In addition to working closely with the open source community, Red Hat has responded to numerous requests to offer a paid and supported version of Open Data Hub. This has resulted in Red Hat OpenShift Data Science, a powerful platform for building, deploying, and monitoring AI/ML models and applications across on-premise, public cloud, and edge environments.
Red Hat continues to invest in Open Data Hub and refine the upstream technologies it continues to curate on Red Hat OpenShift, while building out experimentation and MLOps capabilities that feed into OpenShift Data Science.
In this webinar, we’ll take you through how to get the most out of open source AI, introduce you to OpenShift Data Science, and provide a roadmap for planned future investments by Red Hat for AI on Red Hat OpenShift.

Our webinar topics include:

• Open source AI: Best practice guidance on taking advantage of these technologies.
• Where Red Hat will focus its future efforts around Open Data Hub.
• How a commercial version can help offload the curation and integration of these technologies from you to Red Hat.

Some best approaches to adopting OpenShift Data Science while maintaining your current open environment.

Join Palo Alto Networks’ Senior Vice President of Products, Anand Oswal, as he discusses new capabilities that assist in inventorying AI usage, applying policy controls and securing apps built with AI.

The potential for AI to integrate into development teams has barely been scratched. While everyone has played with ChatGPT and image creators, will machine learning ever replace your app dev squad? Maybe, maybe not, but the workforce is evolving, and some of the fastest-growing jobs are machine learning engineers and AI engineers. What do these roles entail, and do you need them on your IT team to unlock the mysteries of machine learning models and large language models? This panel will discuss how to integrate new trends in AI into existing development practices, and discuss implications such as ethical AI, data privacy, and security to ensure your team is prepared to use AI responsibly.

Discover the latest applications of generative AI in effectively detecting and eradicating phishing and scam websites. The internet is vast and full of malicious threats targeting your organization through multiple channels. With the new developments in AI, it is now possible to enable the detection of hacker activity and remove any malicious content at the source, wherever it may be on internet. Watch this demo to see how Enterprises today are using genAI to scale up and down the removal of malicious content and thus provide a safe online experience for their employees, partners, and customers.