AWS for Software Companies Podcast

Latest Episodes:

Ep177: Agentic AI for business transformation with Boomi, Demandbase and Smarsh Nov 28, 2025

Show notes

Industry leaders from Boomi, Demandbase and Smarsh share hard-won lessons on balancing AI creativity with guardrails, why data quality trumps frameworks, and deploying AI at scale.

Topics Include:

Three industry leaders share experiences building AI solutions at Boomi, Demandbase, and Smarsh.
Smarsh manages trillion communications for financial services, detecting bad actors across multiple channels.
Boomi built agent studio, garden, and control tower while spawning 33,000 internal agents.
Chris Timmerman used vibe coding to build embeddable Boomi in five months solo.
Companies balance creativity with guardrails, starting with IT policies before unleashing innovation.
Internal adoption driven by empowering teams to build their own solutions versus top-down.
Demandbase saw 70% adoption within six months through grassroots approach and local champions.
Measuring success proves challenging, comparable to tracking Excel usage rather than specific KPIs.
Companies focus on outcomes like touch-free bug fixes and support metrics versus raw usage.
Biggest lesson: Data quality and context determine success more than agentic frameworks.
Need scaling framework from low-risk UX improvements to high-risk automation with appropriate guardrails.
Industry created fatigue by overpromising; should have started smaller with realistic expectations.

Participants:

Chris Timmerman – Vice President, Global Services Delivery, Boomi
Harshal Dedhia – Vice President of AI, Demandbase
Brandon Carl - Executive Vice President of AI and Product Strategy, Smarsh
Allison Johnson - AMER Technology Partnerships Leader, Amazon Web Services

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

Ep176: Global Innovation Leadership: The European Software Company Playbook with Boardwave and AWS Nov 26, 2025

Show notes

Phill Robinson of Boardwave joins Miguel Alava and Massimo Ghislandi of AWS to share research and actionable strategies for European software companies using cloud infrastructure, AI features, and marketplace leverage to drive unprecedented growth.

Topics Include:

Boardwave and AWS reveal research on European software companies becoming global innovators.
Cloud-first businesses exceed customer expectations at 60% versus 46% for laggards.
Boardwave's 2,500 CEO members validate findings: AI companies growing 45% annually.
Leaders excel at gathering customer feedback for innovation and implementing AI.
Top performers leverage marketplaces and deliver continuous customer experience updates consistently.
Cloud adoption is foundational for generative AI and agentic AI to scale.
Companies face different challenges depending on their cloud maturity stage currently.
Cloud serves as table stakes before companies can capture AI growth opportunities.
Benchmarking tool helps identify current position and plan strategic next steps forward.
Startups should solve universal problems globally, building painkillers not vitamin products.
Intercom scales customer service; Wix transforms efficiency through cultural and engineering mindset.
Future requires cloud foundation with AI features; AWS offers comprehensive support programs.

Participants:

Phill Robinson – Chair & Co-Founder, Boardwave
Miguel Alava – EMEA ISV General Manager, Amazon Web Services
Massimo Ghislandi - Head of EMEA Marketing for Software Companies, Amazon Web Services

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

Ep175: Agentic AI - From Hype to Business Impact with Kore AI & SS&C Blue Prism Nov 24, 2025

Show notes

Industry leaders from Kore AI, SS&C Blue Prism and AWS reveal what actually works in agentic AI deployment, from contact center automation to employee productivity, with proven strategies for regulated industries.

Topics Include:

Kore AI and SS&C Blue Prism leaders discuss achievable agentic AI actions
Three deployment areas show real ROI: customer service, employee automation, and process workflows
Kore AI handles billions of annual interactions, with 85% focused on contact center operations
SS&C Blue Prism achieved $200 million annual savings using agentic AI across 120 internal use cases
The company processes 6 million transactions monthly consuming 10-12 billion tokens in production
Regulated industries like financial services and healthcare successfully deploy agentic AI with proper guardrails
eBay case study demonstrates measurable productivity gains tied directly to AI agent implementation
Two identical pilot programs yielded different results: one tied to business outcomes, one didn't
ISVs should stop chasing shiny objects and focus on solving customers' stickiest problems instead
Design for scale from day one and accept no single vendor solves everything alone
Employee-facing use cases carry less risk than customer-facing applications for initial AI deployments
Combining deterministic automation with AI plus governance creates more viable and trustworthy solutions

Participants:

Erik Walton - EVP of WW Sales/Partner Sales, Kore AI
Satish Shenoy - VP, Global Technology Alliances & AI GTM, SS&C Blue Prism
Arym Diamond – Head of North America Data & AI Sales, Amazon Web Services

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

Ep174: How Voice AI Is Transforming Industries with Deepgram Nov 20, 2025

Show notes

CEO Scott Stephenson explains how Deepgram's voice AI technology powers everything from pharmacies to drive-thru ordering and why, after so many years, Voice AI is now ready for prime time.

Topics Include:

Scott Stephenson introduces Deepgram as an audio AI company building speech products
Major brands like CVS and Anthropic use Deepgram to power voice agents
CVS handles prescription status calls where 25-40% ask if prescriptions are ready
Voice technology now accurately understands diverse accents and speech patterns from callers
Automated systems free pharmacists to focus on their actual jobs instead
Jack in the Box uses Deepgram for drive-thru ordering with natural conversations
Previous McDonald's and Wendy's failures happened because the technology wasn't ready yet
Voice AI can handle any task with text input like CRM notes
Healthcare companies adopted voice AI faster than expected despite compliance hurdles
Staffing shortages drove hospitals to push through HIPAA and regulatory red tape
First misconception: AI will never match human performance in customer interactions
Second misconception: one product should solve all voice-related business problems
Companies must strategically decide what to build, partner on, or buy
Deepgram's research team controls speech speed and outputs conversational data like timestamps
Adoption will feel slow initially but suddenly be everywhere within three years

Participants:

Scott Stephenson – Co-Founder & CEO, Deepgram

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

Ep173: Simplifying Elasticsearch at Scale: How Elastic Built Their Serverless Platform Nov 19, 2025

Show notes

Uri Cohen reveals how Elastic transformed from managing 50,000 complex clusters to building a seamless serverless platform that eliminates operational overhead while scaling globally

Topics Include:

Johan Broman of AWS hosts Uri Cohen who leads Elastic's platform products team
Uri shares his nine-year journey at Elastic from small company to global scale
Elasticsearch started 15 years ago, becoming popular for search, logs, and security events
Elastic Cloud launched 2015, but users struggled with shards, nodes, and infrastructure complexity
Serverless eliminates operational concerns, letting users just ingest and analyze their data
Design goal: maintain familiar Elasticsearch experience while removing all infrastructure management burden
Chose complete architectural redesign over retrofitting auto-scaling to existing infrastructure
New architecture uses S3 persistence with lightweight routing layer serving 50,000+ clusters
Cell-based design limits blast radius and improves multi-tenancy across 40+ global regions
Learned S3 API costs can explode unexpectedly without careful request pattern optimization
AI transforms security workflows: 10,000 alerts become 3 actionable attack summaries automatically
Weekly continuous deployment enables faster innovation delivery without waiting for version releases

Participants:

Uri Cohen – Vice President of Product Management, Platform, Elastic
Johan Broman – EMEA ISV Head of Solutions Architecture, Amazon Web Services

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

Ep172: Scaling AI from Day One: SS&C Blue Prism on Governance, Guardrails, and Growth Nov 17, 2025

Show notes

SS&C Blue Prism's VP reveals how they achieved $200M annual savings and $600M revenue growth by deploying 3,000 AI agents, processing 6 million documents monthly as their own first customer.

Topics Include:

SS&C Blue Prism evolved from RPA leader to agentic automation provider over 25 years
Serves 22,000 clients in regulated industries like financial services, healthcare, manufacturing, and retail
Offers AI agents, governance gateway, and secure enterprise chat leveraging AWS Bedrock
As "customer zero," they deployed 3,000 agents processing 6 million documents monthly
Generated $200M annual savings and $600M revenue growth using their own technology
Financial services client unlocked unstructured document processing previously impossible with traditional automation
Healthcare client's AI processes MRIs more accurately than human radiologists
Key lesson: Focus on business outcomes first, not just implementing AI everywhere
Critical insight: Plan for scale on day one, not after pilots succeed
AWS Marketplace streamlined purchasing, especially in challenging Latin American markets
Future vision: B2A economy where agents negotiate parking, shopping, and services autonomously
Predicts agent-to-agent communication will revolutionize healthcare monitoring and wealth management

Participants:

Satish Shenoy – Global Vice President, Technology Alliances and GenAI GTM, SS&C Blue Prism

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

Ep171: Responsible Business Innovation with Generative AI Nov 14, 2025

Show notes

Three enterprise AI leaders from Archer, Demandbase, and Highspot reveal how top companies are implementing AI responsibly while navigating data privacy, bias prevention, and regulatory compliance challenges.

Topics Include:

AWS Security GM Brian Shadpour hosts three AI leaders discussing responsible enterprise deployment
Demandbase's Umberto Milletti explains tenant-based models ensuring first-party customer data remains confidential
Highspot's Oliver Sharp uses behavior-specific feedback frameworks to eliminate bias in sales assessments
Real-time AI evaluation proves challenging when assessing dynamic sales conversations and customer interactions
Companies create "second-party data" networks where customers opt-in to share insights collectively
Open-source models gain traction but require significant expertise for enterprise-grade implementation
EU AI Act mandates human oversight, reshaping how companies design AI systems globally
Archer's Kayvan Alikhani extends identity management principles from web applications to AI agents
Unattended AI agents performing tasks autonomously create new security and accountability challenges
Human-in-the-loop oversight remains essential, especially for high-stakes decisions affecting customers
Future challenge: Determining when AI accuracy justifies removing costly human oversight
Enterprise data hygiene becomes critical as AI systems need clean, reviewed internal data

Participants:

Kayvan Alikhani - Global Head of Engineering- Emerging Solutions, Archer Integrated Risk Management
Umberto Milletti - Chief R&D Officer, Demandbase
Oliver Sharp - Co-Founder & Chief AI Officer, Highspot
Brian Shadpour - General Manager, Security, Amazon Web Services

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

Ep170: From Open Source to AI Agents – Inside SnapLogic’s Transformation with AWS Nov 12, 2025

Show notes

SnapLogic CTO Jeremiah Stone reveals how they evolved from open-source to AI-powered integration platform, doubled AI adoption with one UX change, and delivers measurable enterprise ROI.

Topics Include:

SnapLogic CTO shares their decade-long journey building AI-powered integration with AWS partnership.
SnapLogic drives "human cost of integration to zero" for thousands of global companies.
Started as open-source project, pivoted to cloud in 2015 with AWS infrastructure.
Began AI workloads in 2018, predicting next steps in integration workflows using models.
Became AWS Bedrock launch partner, completely reinventing their product for generative AI era.
SnapLogic lives through transformations first, then credibly helps ISV customers do same.
Helped Adobe migrate entire CRM from Salesforce to Microsoft over single weekend.
Built normalized data architecture using S3, Iceberg, Glue for analytics-ready enterprise data.
SnapGPT copilot converts plain language prompts into complete integration pipelines in minutes.
Live demo shows generating Salesforce-to-Redshift pipeline with filters using natural language commands.
Small UX tweak adding helpful header doubled monthly active users of SnapGPT.
Changed legal agreements in 2017 to capture metadata, enabling AI features years later.
Agent Creator delivers ROI across customers: Inspirant, Core Plus, AstraZeneca use cases.
SnapLogic's own finance team cut order reconciliation from 40 hours monthly to 90 minutes.
Key lessons: governance first, understand business impact, use AWS native patterns consistently.

Participants:

Jeremiah Stone – Chief Technical Officer, SnapLogic
Olawale Oladehin – Managing Director, NAMER Technology Segments, Amazon Web Services

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

Ep169: Connecting Everything Everywhere: How Boomi Powers Enterprise Integration with AWS Nov 11, 2025

Show notes

Vice President of Solution Engineering Chris Timmerman reveals how Boomi's integration platform evolved into a no-code AI agent builder on AWS, serving 22,000 enterprises while solving the 95% failure rate in AI production deployments.

Topics Include:

Chris Timmerman shares his 9-year journey from Field CTO to VP Solution Engineering at Boomi
Boomi connects cloud and on-premise systems, helping enterprises move data seamlessly since early 2000s
The platform serves 22,000+ customers, from order-to-cash processes to complex M&A integrations
New CEO Steve Lucas pivoted Boomi toward generative AI when ChatGPT emerged
Boomi approaches AI three ways: internal automation, product enhancement, and customer enablement
AI Agent Studio lets users build agents on AWS Bedrock without writing code
Agent Garden marketplace allows partners to share specialized agents for Salesforce, NetSuite, and more
Chris reveals 95% of enterprise AI projects fail to reach production due to data issues
AWS partnership since 2018 provides infrastructure plus hands-on engineering collaboration for problem-solving
Hackathons with AWS engineers generate excitement and innovative solutions for customer challenges
Chris advises new AWS partners: "Don't be afraid to ask for help" and be transparent
Future vision: Partner with market leaders like AWS rather than reinvent foundational AI frameworks

Participants:

Christopher Timmerman – Vice President, Solution Engineering, Boomi

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

Ep168: Scaling Agentic Workloads: Why Reliable Infrastructure is Non-Negotiable for Enterprise AI by Anyscale Nov 07, 2025

Show notes

Learn how Anyscale's Ray platform enables companies like Instacart to supercharge their model training while Amazon saves heavily by shifting to Ray's multimodal capabilities.

Topics Include:

Ray originated at UC Berkeley when PhD students spent more time building clusters than ML models
Anyscale now launches 1 million clusters monthly with contributions from OpenAI, Uber, Google, Coinbase
Instacart achieved 10-100x increase in model training data using Ray's scaling capabilities
ML evolved from single-node Pandas/NumPy to distributed Spark, now Ray for multimodal data
Ray Core transforms simple Python functions into distributed tasks across massive compute clusters
Higher-level Ray libraries simplify data processing, model training, hyperparameter tuning, and model serving
Anyscale platform adds production features: auto-restart, logging, observability, and zone-aware scheduling
Unlike Spark's CPU-only approach, Ray handles both CPUs and GPUs for multimodal workloads
Ray enables LLM post-training and fine-tuning using reinforcement learning on enterprise data
Multi-agent systems can scale automatically with Ray Serve handling thousands of requests per second
Anyscale leverages AWS infrastructure while keeping customer data within their own VPCs
Ray supports EC2, EKS, and HyperPod with features like fractional GPU usage and auto-scaling

Participants:

Sharath Cholleti – Member of Technical Staff, Anyscale

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

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