Today Nicole Eagan, Chief Strategy and AI Officer and Michael Beck, Global CISO of Darktrace AI Research centre share experience, predictions and guidance on the future of AI and Cybersecurity.

Topics Include:

• A brief history of Darktrace
• Applying AI to the challenge of cyber security
• Changes and evolution of cyber security threats
• What are the key security challenges business are facing?
• Generative AI provided a seismic shift with threat actors
• Best practices for managing and scaling security teams
• Guidance for leaders for baking AI into workflows
• Responsible AI best practices for building trust
• Trends of Generative AI on the security landscape
• Leveraging Generative AI to transform the customer experience
• Predictions for emerging technology trends over the next 10 years
• Recommendations and parting wisdom for security and AI
• Keeping a workforce trained and relevant for technology trends
• Interview wrap up

Participants:

• Nicole Eagan – Chief Strategy Officer and AI Officer, Darktrace
• Michael Beck – Global CISO, Darktrace
• Phil Le-Brun – Director, Enterprise Strategy, Amazon Web Services

A panel discussion with executives from ActionIQ, FloQast and Wiz on experiences and best practices for working and selling to customer C-suites.

Topics Include:

• Panel introductions
• Keeping products and sellers focused on C-Suite outcomes
• Customer C-suite focus, identifying internal champions
• Keeping sales motion concise for key C-Suite
• Connecting value for enterprise space
• Impact of Generative AI and inventing on behalf of customers
• Customer impressions of GenAI and going beyond the hype
• Helping customers reimagine / hack their business
• C-suite concerns about Generative AI
• Flipping objections into selling points for C-Suite
• Building confidence for security, data and GenAI for Executives
• Final thoughts, Session wrap-up
• 
  

Participants:

• Justin DeBrabant – Chief Product Officer, ActionIQ
• Stefan van Duyvendijk – Accounting Operations Evangelist, FloQast
• Rick Kickert – Senior Vice President of Revenue Growth & Strategy, Wiz
• Veronica McCarthy – Senior Sales Manager, ISV, Amazon Web Services

We feature a conversation with Yuelin (李玥琳)Li, Chief Product Officer of Onfido and Phil Le-Brun - Enterprise Strategist, Amazon Web Services, about the pivotal role of AI, machine learning, and generative AI in fraud prevention and security in the identity verification industry.

Topics Include:

• Yuelin Li career journey
• Overview and mission of Onfido
• Use of AI and Machine Learning at Onfido
• Successes in reducing fraud with identity verification
• Challenges faced and overcome with Machine Learning
• Secure rapid iteration and constant experimentation
• Working with customers in highly regulated industries
• Hot topics and ethics with Generative AI
• Training, managing bias and maintaining accuracy of models
• Staying aligned with customers
• Skillets required, creating development paths for staff
• Creating a culture of learning in the organisation
• Deciding how to place bets on technology advances
• What excites Yuelin Li most about Generative AI
• Advice for other companies setting out on a similar journey
• Session wrap-up

Executive Leaders from Proofpoint, Sumo Logic and Zendesk share their experiences and best practices for collaboration with AWS to deliver transformative impact to their business using Generative AI.

Panelists:

• Patrick Wheeler, Director, Product Management, Proofpoint
• Bashyam Anant, Senior Director, Product Management, Sumo Logic
• Patrick Copeland, Chief Engineering & Product Officer, Zendesk
• Olawale Oladehin, Director ISV Solutions Architecture, North America, AWS

Topics Include:

• Introductions of Panel
• Where each organization is doing with Generative AI
• Designing data strategy around business outcomes
• Making subject matter experts within the business
• Defining what success metrics and value to focus on
• Metrics and KPIs and framework for experiments
• Thinking and leveraging partnerships for Generative AI
• Developing skillsets, retraining teams and managing resources
• Lessons learned, what would you change, advice for others
• Session wrap-up

Jimmy Hillis, Head of Engineering at Airtable, shares examples, guidance and major themes for how businesses can successfully build and leverage AI within their enterprise applications and workflows.

Topics Include:

• Introductions and Airtable overview
• Challenges businesses have articulating how AI will add value
• Core insights: AI needs to leverage your own data
• AI functionality needs to live within existing tools and workflows
• Have workflow and business experts building prompts for the desired function
• AI presents a new set of fears and restrictions
• Examples for successful implementation of AI
• Airtable AI field examples and automations feature
• Example of leveraging technology to reduce manual activity
• Data governance, training data for use
• Network governance and Flexibility
• Recapping the themes, session wrap up

In this highly informative episode, we share strategies and best practices for driving growth for SaaS companies featuring Kulwinder Kalsi, head of UK and Ireland Enterprise Software and SaaS Architecture and Johan Broman, Head of Solutions Architecture for Independent Software Vendors for Europe, Middle East & Africa.

Topics Include:

• Discover the main expectations end customers have of SaaS companies, including frictionless tenant onboarding, instrumentation/monitoring, pricing transparency, and focusing on core innovation.
• Explore key trends shaping the SaaS industry, such as the shift towards consumption-based pricing models, complex pricing strategies that align packaging with customer segments, and leveraging other software partners to remove undifferentiated heavy lifting.
• Learn how AWS can help SaaS companies with its global infrastructure, robust security measures, and rich ecosystem of services and partners to accelerate growth and innovation.
• Get insights into monetizing data strategies that SaaS companies can adopt to unlock additional revenue streams from their tenant data.
• Understand the different ways AWS partners, including systems integrators, professional services, and other software vendors, can support SaaS companies through their journey.
• Receive practical advice on approaching cloud migration and modernization, including aligning leadership, assessing growth vs. retention goals, and choosing the right mix of lift-and-shift or full modernization.
• Gain a nuanced perspective on developing AI solutions, covering use case identification, model selection, deployment techniques like prompt engineering and fine-tuning, and the importance of monitoring and management.
• Hear expert tips on navigating the rapidly evolving generative AI landscape, leveraging AWS services like SageMaker and Bedrock, and utilizing specialized AI chips like Trainium and Inferentia.

Business applications are catalyzing profound transformations across industries, streamlining operations, enhancing productivity, and fostering innovation. Leveraging advanced technologies such as generative AI, these applications are reshaping traditional business models, driving agility, and fueling competitive advantage in the global marketplace.

Panelists:

• Neboysa Omcikus - Head of Strategy, https://www.linkedin.com/company/gleanwork/Glean
• Steve Antonakakis - Divisional COO, Enterprise Productivity, PDI Technologies
• Shiv Sehgal - Executive Vice President, Audience Analytics, RSG Media, a Naviga Global company
• Karen Hensley - Principal Data Strategist, AWS

Topics Include:

• Panel Introductions
• How did you decide where to focus with Generative AI?
• Quantifying the value of projects with customers
• Delivering the value and capability for customers
• Do customers care deeply about the technology or the experience?
• How did you move from “test and experiment” phase to production
• How did you reevaluate your data strategy when developing software?
• Working with customers on their data safety, security and ethics
• Driving innovation within data regulatory and compliance requirements
• Looking into the future – What’s the next wave of transformation for industry specific solutions?

Nicholas Marwell, Member of Technical Staff of Anthropic, shares predictions for Generative AI models as well as guidance on safely training and scaling them for the near future.

Topics Include:

• Where are Generative AI Models heading
• About Anthropic
• Claude Opus, Claude 3 Sonnet & Claude 3 Haiku
• Scaling laws impact on models
• Training models for text, images and multimedia
• AI Safety, high stakes and stewarding through potential dangers
• Constitutional AI and interpretability research
• Benefits of Features – combinations of neurons
• Final thoughts – high growth and pace for coming months and years