Learn about DataOps from data leaders Jim Tyo, Invesco CDO; Kurt Zimmer, AstraZeneca Head of Engineering for Data Enablement & Ryan Chapin, former GE exec.
What Is ‘Equity As Code,’ And How Can It Eliminate AI Bias?
DataOps “equity as code” provides the approach and methodological tools to impose equity controls on AI algorithms. A program of automated testing and continuous monitoring can help avoid deploying AI systems that instantiate and perpetuate inequities at scale.
Forrester – Chart Your Course To Insights-Driven Business Maturity
As organizations strive to become more data-driven, Forrester recommends five actions to take to move from one stage of insights-driven business maturity to another. After establishing a solid strategy, the second phase involves planning key processes and practices...
DataOps Transformation Trailblazers: The Journey to DataOps Success
Jonathan Hodges of Workiva and Chuck Smith of GlaxoSmithKline join DataKitchen’s Chris Bergh to discuss their DataOps journey and key lessons learned along the way.
Gartner – Top Trends in Data & Analytics for 2021: XOps
Gartner identified XOps (DataOps, ModelOps, DevOps) as one of the top trends in data and analytics for 2021. Below we provide additional suggestions for further reading based on Gartner’s recommendations. What is XOps? Gartner: “The multiplication of Ops disciplines...
Differentiation Through DataOps in Financial Services
Simon Trewin of Kinaesis discusses how DataOps enables financial institutions to balance agility with compliance and control.
How DataOps Kitchens Enable Version Control
This blog builds on earlier posts that defined Kitchens and showed how they map to technical environments. We’ve also discussed how toolchains are segmented to support multiple kitchens. DataOps automates the source code integration, release, and deployment workflows...
How to Build a Successful Cloud DataOps Program
We discuss the core capabilities required for a successful DataOps program and how a DataOps platform complements the tools provided by cloud vendors, ensuring that you get the most out of your cloud investment.
Gartner: Operational AI Requires Data Engineering, DataOps, and Data-AI Role Alignment
Recommendations for Further Reading
DataKitchen’s Best of 2020 DataOps Resources
We understand that many folks would like to say goodbye and good riddance to 2020. But before we shut the door on such a turbulent, transformative year, we at DataKitchen would like to share the creme de la creme of our DataOps content in hopes that it can help you as...