Strata Data Conference 2019 - London, United Kingdom
as the organisers put it
Innovators and experts share compelling case studies, proven best practices, and exceptional skills with an audience of data scientists, analysts, and executives.
who it's for
data engineers, data scientists, machine learning engineers, platform engineers, analytics managers, data architects, privacy and compliance officers
topics
separated compute and storage across clouds; streaming data pipelines with Kafka and Spark; experiment tracking with MLflow; model governance and monitoring dashboards; data catalogs and lineage (Marquez, Delta Lake); serverless machine learning and Data Flow; personalization metrics and cohort analysis; white box data with provenance and open IDs; enterprise bare metal and high-performance cloud; AI generated content and human-in-the-loop
| title | author | length |
|---|---|---|
| The enterprise data cloud | Mick Hollison | 03m |
Claims deployment at scale with 2,000 customers across 85 countries and presence in an eighth of the top ten banks and all ten top auto manufacturers… | ||
| Making data science useful. | Cassie Kozyrkov | 05m |
Claims that easy platforms lower barriers and shift value from tool knowledge to human judgment, so employers stop caring which tool candidates know and… | ||
| Sustaining ML in the enterprise | Ben Lorica | 19m |
Survey of 11,000 respondents finds many orgs already in production with machine learning and a third using serverless options while ML practitioners rely on… | ||
| Finding your North Star | Cait O'Riordan | 05m |
Financial Times targets subscriber growth by optimizing a measurable engagement metric: an RFV score 18.2 is the tipping point from borderline to engaged, and… | ||
| Making the future | James Burke | 05m |
Argues that nanotech could let eight billion people consume without destroying the environment by assembling atoms into molecules and materials, not by cutting… | ||
| The unstoppable rise of white box data | Chris Taggart | 04m |
Argues that black box data—obfuscated, provenance‑free, proprietary‑ID datasets—has failed for decades and is now being rejected even by the US government… | ||
| Building data science capacity in your org | Shingai Manjengwa | 02m |
Evidence from teaching 300,000 online learners, second-career college graduates, and grade 12/6th form students drives practical guidance on building capacity… | ||
| Combining creativity and analytics | David Boyle | 03m |
Claims that companies combining creativity and data grow twice as fast, then shows how: starts with a million interviews to map listeners, reduces dimensions… | ||
| Rise of the (advertising) machines | Michael Tidmarsh | 03m |
Alibaba's AI is claimed to generate 20,000 lines of copy a second to populate e‑commerce and email content, replacing many manual copy tasks; Adobe Sensei… | ||
| Privacy, identity, and autonomy in the age of big data and AI | Sandra Wachter | 05m |
Argues for a right to reasonable inferences to stop algorithms from assigning life outcomes based on opaque predictions, showing Big Tech (Netflix, Facebook… | ||
| Usman Khan (Oracle) interviewed at Strata Data Conference UK 2019 | Usman Khan | 18m |
Oracle Cloud Infrastructure claims a ground-up, second‑generation design that targets enterprise and big‑data workloads with 30% cheaper compute, 86% cheaper… | ||
| nothing matches | ||