Accelerating AI Adoption with Machine Learning Operations (MLOps)

Accelerating_AI_Adoption
Massive investments in data science teams and machine learning platforms have yet to yield results for most companies. The last mile for AI project success is the deployment and management of models in production requiring new technology and practices. This new area is called Machine Learning Operations or MLOps.
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Spotlight

OTHER ON-DEMAND WEBINARS

Doing DevOps for Big Data? What You Need to Know About AIOps

Unravel Data

AIOps has the promise to create hyper-efficiency within DevOps teams as they struggle with the diversity, complexity, and rate of change across the entire stack. DevOps teams working with big data face unique challenges due to the complexity and diversity of the components that comprise the big data stack. At the same time, AIOps is maturing to the point of creating true efficiencies among these DevOps teams as they struggle against the diversity, complexity, dynamic behavior and rate of change across the entire stack.
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Automating Analytics With Artificial Intelligence

SAS

Artificial intelligence is one of the biggest buzzwords of the day. Many are asking if AI will change the world. Truthfully, it already has. Our ability to consume and act on data is because of advancements in computing, complex algorithms and intelligent analytical output.
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Procore Client Roundtable Features and Implementation

Procore

Join Andrew Pringle from BC Contracting and Ashton Schmitt from DEB Construction as they discuss why they chose Procore, what the implementation process was like, and how it has impacted their businesses.
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How to Use Continuous Integration & Testing in your Data Management Environment

SAP Sales Cloud

Get a better understanding on how to use the Continuous Integration & Testing functionality in SAP HANA. This demonstration will be delivered using a data warehousing scenario to verify the success of the build process and increase overall quality aspects of the environment.
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