Why should enterprises think about edge computing? What challenges come with an enterprise edge deployment and why are they are worth embracing? How are edge and cloud both similar and extremely different at the same time? How edge can power the future of AI, embedded intelligence, and digital transformation in enterprises.

Creating a unified enterprise architecture that simplifies complexity and enables business agility Aligning modernization initiatives with Hilti’s broader goals for innovation, risk management, and growth Advancing cybersecurity posture while scaling digital capabilities across cloud and edge environments Laying the groundwork for AI and automation through flexible, scalable data architecture design

Designing AI-native security platforms: real-time detection, response, and orchestration Embedding GenAI into SOC operations and risk management workflows Governing AI in cybersecurity: model drift, explainability, and ethical guardrails Creating scalable, resilient security architectures across hybrid environments

Exploring how machine learning, AI-driven anomaly detection, and predictive analytics are helping organizations proactively identify, analyze, and mitigate cyber threats before they cause harm Discussing how adversaries are using AI to enhance cyber attacks, including automated hacking tools, deep fakes, and AI-powered social engineering tactics that make traditional defense mechanisms less effective How AI can enable real-time threat identification by…

Leveraging AI to optimize chip design, reduce testing time, and enhance performance. Using big data to drive product innovation, operational efficiency, and customer insights. Strengthening security across Marvell’s portfolio to meet evolving challenges in connected devices and cloud environments. Transforming networking and storage technologies through cutting-edge chips and high-performance solutions

AI Agents & Agentic AI How Agentic AI strengthen and weaken cybersecurity Exploring potential use cases for Agentic AI in cybersecurity

What is AI Real World Examples Understanding Moat in an AI context How could an AI investment establish a lasting competitive edge for your business? Interactive discovery: Pain points & opportunities Overcoming barriers to AI adoption – Ben Gilman, CTO, Co-Founder, Dualboot Partners AI Readiness

Moving beyond perimeter-based security to user and device-level authentication. Leveraging AI/ML for real-time threat detection and rapid incident response. Collaborative approaches for policy alignment, risk assessment, and cultural adoption.

How agile, cost-effective integration models accelerate partner onboarding while ensuring data accuracy, speed, and compliance; key for CIOs balancing innovation with operational constraints. How platform-driven orchestration, enhanced by AI and autonomous agents, reduces friction, automates decision-making, and strengthens supply chain responsiveness. Why a digital-first architecture grounded in real-time intelligence is essential for navigating uncertainty, optimizing performance, and avoiding the high…

Why legacy systems are limiting agility and business performance Common pitfalls and risks in cloud migration—and how to avoid them EPI-USE’s SHIP™ framework for successful cloud migration and modernization AWS programs that reduce migration cost, accelerate execution, and support long-term scalability