Data Summit 2025
2025-05-13..2025-05-15
Boston, United States
as the organisers put it
Dive into the latest strategies and technologies in data management and analytics this May 13-15 in Boston, MA at the Data Summit 2025 conference featuring AI & Machine Learning Summit, Generative AI Boot Camp, and Data Engineer Boot Camp. From modern data architecture and cloud migration, to DataOps and analytics, Data Summit 2025 will equip you with the technical know-how, practical advice and expert insights to succeed in this evolving space.
| title | author | length |
|---|---|---|
| Storytelling With Data | John Lewis | 41m |
Argues that organizations must shift from measuring work as a process to measuring work as a story, introducing story thinking and narrative intelligence (MIT… | ||
| Unlocking Your AI Potential With Real-Time Data Unification | Shiva Pullepu | 13m |
Claims a single system, CrateDB, unifies relational, time‑series, geospatial and vector data in real time so models and apps use up‑to‑date inputs; shows… | ||
| Gen AI Killed BI. Claude Says It's Fake News! | Sami Akbay | 16m |
GenAI does not kill BI but reshapes it: dashboards evolve into proactive conversational insights that learn via thumbs up/thumbs down reinforcement and suggest… | ||
| Data Observability and Reliability Engineering in a Real-Time World | Nilanjan Chatterjee | 39m |
Compares Lambda, Kappa and Delta with concrete tradeoffs: Delta Lake provides ACID and time travel so corrupted rows can be MERGE’d and audited, while… | ||
| Reinventing MDM to Power AI and Agents | Jack Smith | 09m |
Claims that legacy MDM is archaic, expensive and slow to change and proposes Syncari’s Agentic MDM that uses the existing warehouse as the data plane and an… | ||
| Five Secrets to Enterprise Data Success | Pete Cooney | 30m |
Five concrete practices for getting enterprise data to work: plan for a cloud or on‑prem data lakehouse but start by solving for specific personas not a… | ||
| Empowering Engineers With a Database DevOps Strategy | Phil Vacca | 17m |
Argues that empowering engineers requires measurable wins: track time to deliver and deploy metrics, automate the smallest headache (tickets, PRs, DB… | ||
| Getting Your Data AI-Ready | Bharath Vasudevan | 41m |
Argues that organizations must model before you move so disparate ERP, CRM and third‑party data become governed, lineaged and scoreable; shows a… | ||
| Fostering a Data-Driven Culture | Kevin Bohan | 43m |
Enterprises adopt a logical data fabric and a universal semantic layer to fuse fragmented sources, enable real‑time RAG and text‑to‑SQL against live systems… | ||
| Introducing Reality into Data Metrics | Chantel Wilson Chase | 32m |
Claims that common metrics mislead are illustrated with concrete failures: a 1948 poll called telephone-sampled poll bias that misreports Dewey vs Truman… | ||
| Get Your Business AI-Ready | Andreas Welsch | 41m |
Book distills 60 interviews into a nine step playbook and argues readiness beats hype with concrete numbers and tactics. Cites a Writer survey where two thirds… | ||
| Transforming Analytics With AI: A Comprehensive Guide to an Advanced Tech Stack | Ebrahim Alareqi | 16m |
Incorta shows a live stack that ingests source systems as Parquet, keeps a 1:1 Direct Data Mapping (DDM) replica, and serves a fully managed platform with… | ||
| Managing Data & Analytics Projects Effectively | Shiva Pullepu | 45m |
Crate DB demos two concrete builds: a PDF-to-chatbot pipeline that stores OpenAI embeddings, combines BM25 full‑text and vector semantic search with a 60/30… | ||
| Unleashing the Power of Data Science | Disha Lamba | 21m |
Modern recommender systems scale by turning user–item interactions into graphs and training GNNs that learn embeddings; Pinterest’s pinsage runs on 17.5… | ||
| Architecting for Speed & Scale | Paige Roberts | 43m |
Argues for a data integration hub that uses an in-memory data grid for real-time inference and SSD/iceberg archives for long term reconciliation rather than… | ||
| Streamlining Your Approach to Data | Emma McGrattan | 44m |
Argues that GenAI success depends on governance, not just scale of data, and cites a Gartner stat that 60% of AI initiatives fail to reach production by end of… | ||
| Conversations With AI: Transforming Conference Learning & Data Engagement | Brian Pichman | 22m |
A conference pipeline records session audio via a TazCam or Anker pucks, transcribes offline with Whisper, scrubs speaker IDs, builds a RAG and knowledge graph… | ||
| Closing Keynote - Insights From the Modern Data Architecture in the AI Era Market Study | John O'Brien | 49m |
Market study of 259 respondents reports 85% of organizations budget data architecture work and most budgets cluster at $50–100K, not multi‑million programs… | ||
| How to Measure Organizations, Leadership, and Personalities from a Storytelling Standpoint | John Lewis | 04m |
Organizations measure progress by mapping KPIs to story moments and taking specific counts: team commitment via surveys, process certification counts, and… | ||
| How to Use Storytelling to Capture Your Entrepreneurial Journey | John Lewis | 05m |
Claims that storytelling is one of the most sought skills in 2025 and that neuroscience shows humans are wired for story, then demonstrates a practical method… | ||
| Storytelling Mindsets and How to Apply Them in Your Organization | John Lewis | 05m |
Maps three specific response modes—reactive, questioning, reflective—into a workflow: routine automation handles “does work” states, disruptions trigger… | ||
| How to Manage the Changing Data Landscape | Sami Akbay | 02m |
Claims that growing volumes — combining structured, unstructured and streaming workloads — increase data volumes more than 10x and break traditional ETL… | ||
| Say Goodbye to the Old BI: AI and Business Intelligence | Sami Akbay | 03m |
Claims that dashboards give way to conversational interfaces that suggest follow‑on questions and use reinforcement learning from simple signals like thumbs up… | ||
| nothing matches | ||