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SPEAKERS

SAMPLE OF KEYNOTE SPEAKERS AND THEIR CASE STUDIES

Adri
PURKAYASTHA

Head of Technology & Cyber Risk Analytics

CASE STUDY / DAY 1

Rise of Machine Intelligence as Our New Partner in Cyber Defence

There is plenty of hype associated with ML and AI, which have become new buzzwords at security conferences and in vendors’ marketing materials. On the other hand, to address challenges faced by enterprises in Cyber and Technology Risk Management, ML and AI can bring enormous benefits to build a secure future. In this presentation, speaker will share the scope, benefits, and limitations of Machine Intelligence through case studies. Speaker’s journey leading change by infusing Machine Intelligence into improving the Technology and Cyber Risk in one of the largest financial institutions in the world. He will touch on how his team is rolling out intelligent systems to address the shortfall of current Cyber Security tools.

  • Technology and Cyber Risk Management in Financial Services through advanced analytics
  • AI and ML-based techniques for dealing with today’s threat landscape
  • Applications of Machine Intelligence in improving Cyber Security operations
  • Real-world case studies of application of AI
  • Journey building AI-based platform Threat Detection, Hunting and Analysis
  • Practical approaches to develop and maintain production systems
  • Roles of the future

CASE STUDY / DAY 1

Ethics of AI & ML

AI will enable breakthrough advances in areas like healthcare, agriculture, education and transportation; it’s already happening in many ways. But new technology also inevitably raises complex questions and broad societal concerns. As we look to a future powered by a partnership between computers and humans, it’s important that we address these challenges head on. Technologists will need to work closely with government, academia, business, civil society and other stakeholders. And focus on ethical principles – fairness, reliability and safety, privacy and security, inclusivity, transparency, and accountability – to guide the cross-disciplinary development and use of artificial intelligence for business and cyber. In this talk we’ll share the principle ethics of AI & ML and have a discussion about how we can all work together to forward AI and ML use responsibly.

  • How do we ensure that AI is designed and used responsibly?
  • How do we establish ethical principles to protect people?
  • How should we govern its use?
  • And how will AI impact employment and jobs?

Diana
KELLEY

Cybersecurity Field CTO

This year Summit will host speakers from the world’s leading companies.
See sample of key note speakers.

Diana
KELLEY

Cybersecurity Field CTO

Carlos
CARAZO

Global IoT Platforms & Technology Director

Bernd
THIEL

Chief Evangelist & Lead Enterprise Architect for Cloud, AI, Connectivity

Adri
PURKAYASTHA

Head of Technology & Cyber Risk Analytics

Dr. Barak
CHIZI

GM Big Data, Data Analytics and AI

Guglielmo
IOZZIA

Associate Director - Business Tech Analysis, IT and Analytics

CASE STUDY / DAY 2

Implementing AI Successfully in Your Company

New buzzwords and new trends have come with recent developments, however, some of them seem to be known but said in other words. Thus, it is more and more important to have a strategy and method to find out:

  • How to integrate new trends?
  • What is real?
  • What do you really need to handle a challenge and what you shouldn’t get out of your company (like IP)? This session gives you a guidance to come from idea to technology and how you can be always “up-to-date.”

Use Cases:

  • Why a cow should be happy and how is AI used
  • Why drinking beer helps you to understand how AI works
  • How can AI help to reduce “target costs per user”
  • Why you need AI to optimise processes
    • WAN, DC, HW, Platform/Cloud
    • aaS vs. Managed
    • Is AI/ML/DL the best every time
    • TCO/ROI examples

Bernd
THIEL

Chief Evangelist & Lead Enterprise Architect for Cloud, AI, Connectivity

Guglielmo
IOZZIA

Associate Director - Business Tech Analysis, IT and Analytics

CASE STUDY / DAY 2

AI and Cyber Security: A Mandatory Arranged Marriage

A big debate is ongoing since few years about the ethics of applying AI to several fields. But when it comes to cyber security, the scenario is different: It is time to take action now as the evolution of this debate and its (potential) outcome don’t apply to the dark world. But what are the challenges for the industry? In this talk I will walk through a list of assessments that need to be completed in order to reach the necessary level of maturity to start towards this direction and will present a list of practical applications of Deep Learning to cyber security.

  • Ethics of AI in cyber security
  • Explainable AI
  • The technical debt of AI (and cyber security)
  • Practical examples of Deep Learning in cyber security
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