Remove Experimentation Remove IoT Remove Strategy Remove Testing
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The DataOps Vendor Landscape, 2021

DataKitchen

Testing and Data Observability. It orchestrates complex pipelines, toolchains, and tests across teams, locations, and data centers. Prefect Technologies — Open-source data engineering platform that builds, tests, and runs data workflows. Testing and Data Observability. Production Monitoring and Development Testing.

Testing 300
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How to Launch Your AI Projects from Pilot to Production – and Ensure Success

CIO Business Intelligence

A developing playbook of best practices for data science teams covers the development process and technologies for building and testing machine learning models. Have business leaders defined realistic success criteria and areas of low-risk experimentation? Are data science teams set up for success?

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Interview with: Sankar Narayanan, Chief Practice Officer at Fractal Analytics

Corinium

In the long run, we see a steep increase in the proliferation of all types of data due to IoT which will pose both challenges and opportunities. Fractal’s recommendation is to take an incremental, test and learn approach to analytics to fully demonstrate the program value before making larger capital investments.

Insurance 250
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What Heineken’s CIO is brewing for better connectivity

CIO Business Intelligence

As part of Heineken’s 2021 EverGreen strategy to commit to future-proof the organization, adapt to market dynamics, and emerge stronger from the pandemic, there’s the objective to digitally transform the business and its relations with stakeholders. There’s also a growing emphasis on improving team performance.