Making AI work for you

Business leaders recognize that Generative AI is causing a fundamental shift in organizations, by improving employee productivity, reducing operational costs, and driving superior customer experiences. While 97% of companies feel an increased urgency to deploy GenAI technologies, just 14% feel ready to integrate AI successfully into their businesses, per Cisco's latest AI Readiness Index. Transitioning GenAI assistants from concept to production at scale demands a meticulous focus on safety, trust, compliance, security, cost, privacy, and ROI considerations. Further, utilization of organizational data with GenAI models is imperative to extract valuable business insights. This presentation delves into how IT and business function teams can expedite the delivery of trustworthy GenAI capabilities through standardized, scalable tools and architectures within their organizations.

In recent years, organizations have faced unprecedented global disruptions, significantly testing their business resilience. Amid these challenges, the role of observability practices used by IT and engineering teams has become crucial for quickly addressing both known and unknown problems, enhancing reliability, and delivering superior digital experiences. Our innovative approach to AI and observability demystifies AIOps and illustrates how AI can be leveraged to improve MTTD and MTTR. By integrating AI-driven solutions, businesses can drive efficiencies, reduce costs, and ensure robust application performance. This comprehensive strategy not only addresses immediate technical issues but also fosters long-term resilience and competitive advantage in the digital landscape.

In this session, you will learn:

• The critical role of observability practices in enhancing reliability and delivering superior digital experiences amid global disruptions. 
• How AI can improve MTTD and MTTR, driving efficiencies and reducing costs. 
• Strategies for integrating AI-driven solutions and AIOps to deliver performance and long-term business resilience. 
• How Splunk’s latest suite of Generative AI Assistants allows you to accelerate your organization’s digital resilience.

The recent speed of breadth of AI adoption is breathtaking. Engineers and scientists widely recognize the opportunity to accelerate research and build new software systems using machine learning, but what does a researcher need to know? This talk attempts to build an intuitive understanding of AI methods up from fundamentals, to applications in natural language, audio, and video understanding and generation. Large Language Models, such as ChatGPT, have emerged in the past few years to offer particularly striking new capabilities but also open up potential pitfalls in data hallucination, bias, and abuse. The talk is illustrated with a series of practical AI solutions from the world of team communication and collaboration.

To take an AI-first approach to security, you have to be a data-first company. In this session, learn how Cisco is using machine telemetry at scale to capture unrivaled AI-driven insights that span devices, applications, security, networks, and the internet and feed intelligence across the portfolio. These AI-driven insights are the key to unlocking simpler security and better user experiences that will be enabled through AI innovations for security and security innovations for AI.