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

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

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

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

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

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