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/

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/

** AWS re:Invent 2025 Dec 1-5, Las Vegas - Register Here! **

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/

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/

** AWS re:Invent 2025 Dec 1-5, Las Vegas - Register Here! **

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/

** AWS re:Invent 2025 Dec 1-5, Las Vegas - Register Here! **

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/

** AWS re:Invent 2025 Dec 1-5, Las Vegas - Register Here! **

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/

** AWS re:Invent 2025 Dec 1-5, Las Vegas - Register Here! **

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/