Remove Data Engineering Remove Innovation Remove Open Source Remove Sport
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Why You Need ML Ops for Successful Innovation

TIBCO - Connected Intelligence

These companies are changing the way we do business, requiring everyone to adopt a more accelerated pace of innovation to create hyper-personalized customer experiences—all built upon a more effective use of data and technology. Optimize People, Processes, and Technology: Data science is a team sport.

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Organise your engineering teams around the work by reteaming

Abhishek Tiwari

Either they try to build perfect products or worse use their time to perfect their code by excessive re-factoring and re-engineering. long-lived teams get bored very quickly due to the repetitive and homogeneous nature of work which they channel out by spending time on things like open source projects.

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Top Data Science experts you should know about

Apiumhub

He is an accomplished practitioner and recognized authority on data and analytics strategy, and is a three-time recipient of Gartner’s annual Thought Leadership Award. Mr. Laney specializes in and assists organizations with data monetization and valuation, open and syndicated data, data governance, and big-data based innovation.

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Solve Complex Problems with Data Science and ML with TIBCO

TIBCO - Connected Intelligence

TIBCO supports this success by enabling the following imperatives: Make Data Science a Team Sport. To democratize, collaborate, and operationalize data science and machine learning (ML) across your entire organization, you need to make data science a team sport. Enable Innovation with Open Source.