Arctic Wolf's Dean Teffer reveals how they transformed security operations by processing one trillion daily alerts with AI, and shares hard-won lessons from operationalizing AI in production SOC environments

Topics Include:

• Arctic Wolf processes one trillion security alerts daily across 10,000 global customers
• Security operations remained stubbornly human-mediated due to constantly evolving threats and infrastructure complexity
• Dean explains why platformizing data creates a virtuous cycle enabling AI automation
• Traditional ML models couldn't handle SOC's situational complexity, leading to LLM adoption
• Arctic Wolf's unique advantage: direct access to 1000+ SOC analysts for continuous feedback
• AWS partnership began with governance concerns about data privacy and model training
• "Centaur Chess" approach: AI-human teams consistently outperform either alone in cybersecurity
• Three-generation AI evolution: from personal use to prompt engineering to expert-tuned models
• Three-day AWS hackathon achieved breakthroughs that would've taken months independently
• SOC analysts actively shaped AI responses through iterative feedback during live operations
• Observability proved critical: tracking performance, quality metrics, and response times for continuous improvement
• Measurable impact achieved: automated alert orientation dramatically increased analyst efficiency and response quality

Participants:

• Dean Teffer - VP of AI/ML, Arctic Wolf
• Aswin Vasudevan - Senior ISV Solution Architect, 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/

Learn how DataStax transformed customer feedback into a hybrid search solution that powers Fortune 500 companies through their partnership with AWS.

Topics Include:

• AWS and DataStax discuss how quality data powers AI workloads and applications.
• DataStax built on Apache Cassandra powers Starbucks, Netflix, and Uber at scale.
• Their TIL app collects outside-in customer feedback to drive product development decisions.
• Hybrid search and BM25 kept trending in customer requests for several months.
• Customers wanted to go beyond pure vector search, not specifically BM25 itself.
• Research showed hybrid search improves accuracy up to 40% over single methods.
• ML-based re-rankers substantially outperform score-based ones despite added latency and cost.
• DataStax repositioned their product as a knowledge layer above the data layer.
• Developer-first design prioritizes simple interfaces and eliminates manual data modeling headaches.
• Hybrid search API uses simple dollar-sign parameters and integrates with Langflow automatically.
• AWS PrivateLink ensures security while Graviton processors boost efficiency and tenant density.
• Graviton reduced total platform operating costs by 20-30% with higher throughput.

Participants:

• Alejandro Cantarero – Field CTO, AI, DataStax
• Ruskin Dantra - Senior ISV Solution Architect, AWS, 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/

Qlik's Field CTO for Generative AI Ryan Welsh reveals why 95% of enterprise AI projects fail and shares the three proven strategies the successful 5% use to deliver real business value from their AI investments.

Topics Include:

• Qlik's Field CTO reveals why 95% of AI projects fail despite massive investments
• MIT research shows shocking failure rates, but 5% are achieving real business value
• First major pitfall: Bad data foundations doom even the most sophisticated AI models
• Second problem: Companies use generative AI when predictive models would work better
• Third issue: Unnecessary complexity - AI projects disconnected from business outcomes
• Success secret #1: Ground AI in trusted enterprise data and user context
• Some LLMs struggle at specific tasks like claims processing despite passing medical exams
• Success secret #2: Let AI learn from users while keeping data governance intact
• Success secret #3: Embed AI directly into existing workflows like Salesforce
• Agentic AI shifts from reactive Q&A to proactive systems that execute across platforms
• Case study: Lintek reduced churn 10% and saved millions using these principles
• Your AI choices today will lock in your trajectory for years to come

Participants:

• Ryan Welsh – Field CTO – Generative AI, Qlik

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