AI Engineering & Data Webinars
DS Stream's AI engineering webinars are live sessions and on-demand recordings on AI Engineering, AI-driven Assortment Optimization and AI in Sales for retail, CPG and other data-driven industries. Each replay includes expert talks, real-world case studies, product demos and proven strategies you can apply to decision-making and growth.

Key takeaways
- Sessions are grouped by track: AI in Retail, AI Agents, AI Sales, Generative AI, Databricks and Artificial Intelligence.
- Past webinars are available as full replays, so you can watch any topic on demand.
- Content ranges from leadership-level introductions to technical deep-dives with live demos.
- Platform coverage includes Databricks and the GCP, Azure and AWS stacks.
- Most sessions are in English; one voicebot session is delivered in Polish.
What do the DS Stream webinars cover?
The library covers AI Engineering, AI-driven Assortment Optimization and AI in Sales for retail, CPG and other data-driven industries. Sessions explain pricing at SKU level, AI-powered data pipelines, AI agents from pilot to production, category management, generative AI model choices and MLOps for leaders, with expert talks, case studies and demos.
Recurring themes across the sessions:
- AI in Retail - pricing across 50,000+ SKUs, out-of-stock and overstock fixes, promo simulations, assortment optimization.
- Data engineering - AI agents that automate data ingestion, ensure data quality and let business users query data without SQL.
- AI agents - business-language analytical agents built with LangGraph and LangChain, technical deep-dives, and enterprise rollout beyond the pilot.
- AI in sales - lead generation, pipeline optimization, team performance management and intelligent agents for field sales.
- Generative AI - proprietary versus open-source models, Gemini and Imagen in action, GenAI voicebots, and how machine learning and generative AI work together.
- MLOps - moving from ML mess to scalable, cloud-agnostic ML systems with examples from GCP, Azure and AWS.
How do you choose the right webinar to watch?
Start from your role and the decision you need to make. Leaders should pick the strategy-level sessions on AI agents and MLOps; data and ML engineers should pick the technical deep-dives and pipeline sessions; category, pricing and sales teams should pick the retail, assortment and AI in Sales tracks.
By role
- CDO, CTO, Head of Data & AI - "Introduction to AI Agents for Leaders", "Enterprise-ready AI Agents: From Pilot to Production" and "Replace Chaos with Scalable ML Systems. ML - Mess to MLOps Journey for Leaders". Related service: MLOps.
- Data and ML engineers - "Technical Deep-Dive into AI Agents" and "From Data Bottlenecks to Business Insights: AI-Powered Retail Pipelines". Related service: data pipeline architecture.
- Category, pricing and assortment managers - "Pricing at Scale", "AI in Assortment Management" and "Machine Learning in Category Management". Related service: AI-driven assortment optimization.
- Sales leaders - "AI in Field Sales" and "Implementing AI for Sales Excellence".
By industry
Retail and CPG teams will find the most directly applicable examples; see Retail and FMCG for the delivery context behind those sessions.
Sessions you can watch on demand
Pricing at Scale: Protect Margin & Clear Inventory Across 50,000+ SKUs
AI pricing optimization across 50,000+ SKUs: SKU segmentation instead of category averages, launch prices, pricing campaigns with business guardrails and recommendations your team approves.
Retail data and AIFrom Data Bottlenecks to Business Insights: AI-Powered Retail Pipelines
Live scenarios on real retail datasets showing how AI agents automate data ingestion, ensure data quality and let business users interact with data without SQL.
Data pipeline architectureAI in Retail: Cut Losses, Boost Decisions, Deliver ROI Fast
Polish and European examples of where AI delivers top ROI, from out-of-stock and overstock fixes to assortment optimization and promotion simulations.
Promotion analyticsDAIS 2026 in an hour: Real takeaways, real impact
A focused recap of Databricks Data + AI Summit 2026 from San Francisco: key announcements, production stories and implications for data platforms, ML and production AI over the next 6 to 12 months.
Databricks solutionsAgents That Speak Your Business Language
Smart Analytical Agents powered by LangGraph and LangChain give any team member instant, contextual insights through natural-language questions and safe, plain-language data exploration.
Agentic AI architectureEnterprise-ready AI Agents: From Pilot to Production
Hands-on insights from B2B deployments in retail optimization and FMCG supply chains on maintaining reliability, controlling costs and proving ROI after a successful pilot.
AI Factory operating modelAI in Field Sales: Intelligent Agents for Modern Sales Teams
How to turn the 62% of a field sales rep's time lost to non-selling tasks into a competitive edge with intelligent agents.
Generative AI for salesAI in Assortment Management: Smarter Pricing, Tailored Supply
Real-world AI applications in category management, including price elasticity modeling, store clustering and advanced demand forecasting.
AI-driven assortment optimizationReplace Chaos with Scalable ML Systems. ML - Mess to MLOps Journey for Leaders
Our MLOps deployment approach with real customer cases and cloud-agnostic practices, demonstrated on the GCP, Azure and AWS stacks.
MLOps servicesNumbers quoted in the sessions
50,000+
Number of SKUs covered in the pricing-at-scale session on protecting margin and clearing inventory.
Source: DS Stream webinars page
62%
Share of a field sales rep's time wasted on non-selling tasks, as quoted in the AI in Field Sales session.
Source: DS Stream webinars page
Frequently asked questions
Are the webinars live or on demand?
Both. DS Stream runs live sessions and publishes full replays of past webinars, so you can watch any topic on demand. Replays include the expert talks, real-world case studies, product demos and strategies presented during the live session.
Which webinar should a leader start with?
Leaders usually start with "Introduction to AI Agents for Leaders", "Enterprise-ready AI Agents: From Pilot to Production" and "Replace Chaos with Scalable ML Systems. ML - Mess to MLOps Journey for Leaders". They cover business impact, rollout and cost control rather than code. The matching service pages are MLOps and AI Factory.
Is there anything for engineers who want implementation detail?
Yes. "Technical Deep-Dive into AI Agents" includes live demonstrations of building and implementing agents in real scenarios, and "From Data Bottlenecks to Business Insights" works on real retail datasets. Follow up with Agentic AI Architecture and Data Engineering.
Are all sessions in English?
Most sessions are in English. One session, "Voiceboty napedzane przez GenAI", is delivered in Polish and covers practical experience with multilingual GenAI voicebots, including the specific challenges of the Polish language. See Conversational AI & VoIP Agents for the related solution.
How do I discuss applying a webinar topic to my own data?
Use the contact form and describe your use case. DS Stream replies within 4 hours on working days (Mon to Fri, 9am to 5pm CET). If you prefer proof first, review the delivered work on the case studies page before the call.
Where to go next
- AI Engineering servicesThe service behind the AI agent, generative AI and LLMOps sessions, from architecture to governed production.
- MLOpsThe delivery practice behind the ML-to-MLOps session, with cloud-agnostic practices across GCP, Azure and AWS.
- Databricks solutionsContext for the Databricks Data + AI Summit 2026 recap and what the announcements mean for data platforms.
- Retail industry solutionsThe industry context for the pricing, assortment and retail pipeline webinars.
- Case studiesDelivered projects behind the real-world examples quoted in the sessions.
- BlogWritten deep-dives that extend the webinar topics between live sessions.
Let's talk and work together
Watched a session and want it applied to your data? Send us your use case and we will get back to you within 4 hours on working days (Mon to Fri, 9am to 5pm CET).
Contact DS Stream