Sumo Logic's VP of Security Strategy reveals how a ground-up agentic framework transformed their platform, and why clean data and autonomous agents are rewriting the rules of cloud security.

Topics Include:

• Sumo Logic is a cloud analytics platform ingesting data from complex IT stacks.
• Built on AWS from the start, leveraging microservices for scalable solutions.
• Early AI efforts produced a natural language query co-pilot for security data.
• Bolting AI onto existing platforms proved brittle and one-dimensional.
• Customer feedback drove a decision to redesign AI from the ground up.
• The Dojo AI framework unifies purpose-built agents across the entire platform.
• New agents include a SOC analyst agent, knowledge agent, and MCP server.
• New frontier models on Bedrock give the whole platform an instant brain transplant.
• Autonomous agents require rethinking security controls beyond traditional programmatic guardrails.
• Federal and global customers demand rigorous, levelled-up security across all regions.
• Clean, normalized data proved the biggest unlock for reliable AI query results.
• Agent-to-agent communication and MCP will define the next era of AI platforms.

Participants:

• Chas Clawson – Vice President, Security Strategy, Sumo Logic

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Avalara's Chief Architect Tim Diekmann reveals how AI and agentic technology are transforming tax compliance and accuracy across 40,000 jurisdictions leveraging AWS.

Topics Include:

• Avalara provides tax compliance software across North America, Europe, and beyond.
• They operate between commerce and government, covering 40,000+ jurisdictions.
• Services span registration, sales tax calculation, and certificate management.
• Avalara was the only company keeping pace with rapid tariff changes.
• AI is used to parse unstructured documents like tax notices and publications.
• Intelligent mapping automates ERP integration across vastly different system configurations.
• GenAI lets customers query billions of transactions using plain conversational language.
• Avalara and AWS are now engaged in a promising co-selling motion.
• Time-to-go-live and transaction accuracy are the key success metrics tracked.
• Amazon Q was rolled out company-wide, achieving 95% developer adoption.
• AI literacy is now prioritized across legal, HR, and engineering teams alike.
• Agentic AI will embed Avalara directly inside customer ERP systems going forward.

Participants:

• Tim Diekmann – SVP of Engineering, Chief Architect, Avalara

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Honeycomb Co-founder and CTO Charity Majors explains why measuring the right engineering metrics in the age of AI matters more than chasing numbers.

Topics Include:

• Charity Majors introduces Honeycomb as the original observability company for complex systems
• Honeycomb solves high cardinality problems across millions of individual customer experiences
• Their MCP tool ranked top five in Stack Overflow's most-used list
• Canva lets developers interact with production software directly from their IDE
• AI acts as an amplifier requiring strong reliability and observability foundations
• Measuring success requires multiple metrics to avoid gaming single numbers
• Honeycomb adopted Intercom's 2X productivity challenge enlisting employees to identify gains
• Writing code was never the hard part even before generative AI arrived
• Honeycomb created AI values prioritizing transparency and emotional safety for employees
• Staff tested boundaries on resources and environmental impact prompting honest discussions
• Honeycomb acquired Grok and shipped Query Assistant Canvas and MCP products
• Future concerns include AI economics shifting and AI-native developers lacking foundational expertise

Participants:

• Charity Majors – Co-Founder/CTO, Honeycomb.io

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Astronomer's Steven Hillion reveals how OpenAI, Anthropic, Uber, and Lyft use Apache Airflow to orchestrate AI and machine learning pipelines at scale on AWS.

Topics Include:

• Steven Hillion leads data and AI at Astronomer
• Apache Airflow surpassed Spark and Kafka in community metrics
• Astronomer coordinates data flow like conductor orchestrating instrumental platforms
• Organizations with data engineering teams use Airflow at scale
• Customers already used Airflow for ML before official promotion
• Uber and Lyft orchestrate pricing models using Airflow
• Astronomer runs on AWS with close integration partnerships
• OpenAI Anthropic and GitHub Copilot use Airflow for operations
• Internal data team uses Airflow creating feedback loops
• Evolved from constrained AI reports to agentic workflows
• Platform monitors generative AI output quality at user interactions
• Metadata and context increasingly critical for AI applications
• Learn more at Astronomer’s Data FlowCast podcast

Participants:

• Steven Hillion – SVP, Data and AI, Astronomer

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Learn how Docupace transformed from cloud-native platform to AI-powered wealth tech leader, leveraging AWS partnerships and customer obsession to accelerate growth.

Topics Include:

• Docupace Technologies has served wealth management firms for twenty years.
• Three SaaS product lines streamline advisor workflows and back offices.
• AI transforms both customer operations and Docupace's internal business practices.
• Trust between advisors and investors drives conservative technology adoption approach.
• Serving seven top-ten broker dealers demands careful data security strategies.
• AI shifts financial systems from deterministic certainty to probabilistic outcomes.
• Industry began AI adoption with simple meeting note-taking applications.
• Docupace's agentic AI framework enables safe, observable, orchestrated agent deployment.
• Multiple verification layers and human oversight ensure zero-error financial operations.
• Internal AI implementation required nine months navigating change management hurdles.
• Team curiosity and rapid experimentation matter more than traditional skill sets.
• AWS customer obsession and partnership programs dramatically accelerate business growth.

Participants:

• Michael Pinsker – Founder and President, Docupace Technologies

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Boomi CEO Steve Lucas reveals how to flip AI's 95% failure rate to your favour with practical integration strategies, real-world agent deployments, and an AWS partnership.

Topics Include:

• Boomi solves the forever problem of complexity across applications and systems
• Twenty-five thousand customers use Boomi to automate anything and connect everything
• Boomi moves more data per second than the entire Visa network
• AI agents now integrate systems through simple commands, no coding required
• Agentic platform built with AWS creates custom AI agents in real time
• Use cases include expense monitoring and heart defibrillator battery checks daily
• Automotive companies use AI agents to assess tariff risks across supply chains
• Hospitals deploy agents to detect patient falls and alert medical professionals immediately
• Control Tower co-innovated with AWS monitors and manages all AI agents centrally
• Deterministic processes like payroll shouldn't use AI, probabilistic challenges should
• Ninety-five percent of AI projects fail due to data access problems
• Agentic workshops help companies identify high-ROI opportunities and achieve AI success

Participants:

• Steve Lucas – Chairman & CEO, Boomi

See how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

Fabric CTO Ankush Goyal reveals how AI Search is transforming commerce discovery and why merchants need AI agents to compete effectively.

Topics Include:

• Fabric builds AI agents for commerce, solving merchant visibility challenges
• Commerce shifting due to AI Search channels and smaller retail teams
• Product Agent monitors and improves product visibility across AI channels
• PetMeds uses Fabric to optimize AI Search and automate SKU onboarding
• Fabric evolved from commerce platform company to AI agent solutions
• Agentic and generative AI work together to optimize product catalogs
• Fabric uses AWS EKS, Bedrock, S3, and Nova models heavily
• AWS partnership connects Fabric with industry leaders and growth opportunities
• AWS services enable reliable, cost-effective, and performant enterprise AI agents
• Prototyping agents is easy, but enterprise-grade reliability is extremely challenging
• Four key learnings: workflow reliability, context engineering, cost effectiveness, feedback loops
• CTOs should define agent goals, guardrails, context, and evaluations early
• Long-running workflow durability and snapshots prevent costly repeated work failures
• Future innovations focus on specialized models, retrieval frameworks, automated evaluations
• Merchants can evaluate AI Search performance at fabric.inc or LinkedIn

Participants:

• Ankush Goyal – Chief Technology Officer, Fabric

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Abrigo's Chief Product Technology Officer reveals how they're leveling the playing field for 2,400 community banks using AWS-powered AI to compete with billion-dollar financial institutions.

Topics Include:

• Abrigo serves 2,400 community banks and credit unions across the US
• They provide risk management, fraud detection, and digital loan origination solutions
• Connect platform delivers data analytics for institutions with legacy systems
• Community banks need instant digital experiences to compete with fintech upstarts
• Customers expect Uber-like speed from application to cash within hours
• Three technology waves transformed finance: iPhone, cloud computing, then AI
• ChatGPT changed conversational experiences and knowledge search expectations in banking
• AI enables instant policy search for new employee onboarding needs
• Every minute saved from grunt work gets redeployed into customer relationships
• Simple borrower experiences work across all demographics from boomers to millennials
• Abrigo embraced agentic AI early using AWS Bedrock and Agent Core
• New guardrails and evaluations accelerate deterministic workflow reimagination with agents

Participants:

• Ravikumar Nemalikanti – Chief Product and Technology Officer, Abrigo

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