Ashish Arora, Head of Engineering & Machine Learning, Product Analytics at Autodesk, shares how personalized AI-powered experiences and real-time data can drive product adoption, featuring insights into Autodesk’s transformation journey, leveraging machine learning, and delivering actionable recommendations to millions of users.

Topics Include:

• Real-time data description and examples
• Leveraging AWS for real time and generative AI services
• Autodesk’s journey leveraging AWS to transform architecture and deliver personalized insights
• Overview of Autodesk and product portfolio
• Utilizing data gathered for customers
• Personalized data-driven insights for customers on Autocad and other products
• Descriptive insights: providing usage data for customers
• Prescriptive insights: Making recommendations to customers based on their workflows
• Predictive insights: Using ML to recommend products and features
• Autodesk processes 100+ billion events across all products, delivered 350+ million insights to customers, served to 3.5 million customers
• Example walkthrough – Rachael
• Architecture of Autodesk data and insight process
• Leveraging LLMs – Sagemaker and Bedrock
• Bringing it altogether
• Session wrap up

Participants:

• Ashish Arora – Head of Engineering & ML, Product Analytics - Autodesk
• Brian Slater – Principal Solutions Architect – Amazon Web Services

A panel discussion on presenting on security and data to Boards of Directors, focusing on metrics, ROI, generative AI, securing intellectual property, and strategic board engagement.

Topics Include:

• What security metrics are most valuable for Board of Directors
• Articulating ROI of security program
• Quantifying benefits of security program
• Sales enablement of the security team
• Driving efficiencies within the business with generative AI and more
• Quantifying business and template-based reporting to Boards with Diligent software
• Leveraging consultants and 3rd parties to leverage messages to Board of Directors
• Managing and communicating data posture and risk management
• Working with data leadership, securing intellectual property
• Challenges of labelling data
• Educating boards on software architecture principles and generative AI
• High focus and techniques for securing IP
• Enrolling Boards with generative AI use cases and innovation
• Creating communities of excellence
• Gamifying security and generative AI to increase internal knowledge
• Q&A 1: Taking action on a summarized document
• Q&A 2: Mental model for evaluative SaaS partners
• Q&A 3: Using the board to influence budgetary decisions
• Session wrap up

Participants:

• Satheesh Ravala - Chief Technology Officer, Diligent
• Josh Blackwelder – Deputy CISO, Sentinel One
• Robert Huber - Chief Security Officer, Head of Tenable Research, President Tenable Public
• Karen Henlsey - Principal WW Data & Generative AI Strategist, AWS

Lacework’s VP and Head of Engineering Arash Nikkar, and Product and Security Software Engineer Teddy Reed, discuss their work with generative AI and Amazon Bedrock, focusing on threat detection, chat interface improvements, and the rapid development of AI-driven solutions.

Topics Include:

• Introducing Lacework with Arash Nikkar
• Working with AWS and Bedrock
• Focusing on threat detection
• Lacework ingests over a trillion events each day
• Composite alerts for detecting anomalies
• Developing and improving the chat interface
• Teddy Reed talking chat interface improvements
• Reviewing the architecture
• Fast engagement with generative AI / AWS Bedrock
• The rapid delivery with Bedrock – took 20% of expected time
• Best practice – build in time to review and verify responses
• Measuring customer’s engagement and return frequency and feedback
• Understanding customer sentiment and topic analysis
• Achieving 60% completed results and feedback
• Transparency of source, response
• Enabling assistant to have more access to data from LLM
• Using AWS’ model evaluator, raising the accuracy scores
• Moving everything over to Bedrock for multiple reasons
• Familiarity of AWS tools helpful for all development and security teams
• Always challenging assumptions – is chat interface the right interface?
• Q&A 1: Using vector database for analysis, using results as system prompt
• Q&A 2: Approaching cost-optimization and balancing ROI
• Q&A 3: Using as automated remediation for findings
• Q&A 4: Data source Bedrock in leveraging

Session wrap up

Participants:

• Arash Nikkar – VP, Head of Engineering – Lacework
• Teddy Reed – Product and Security Software Engineer - Lacework