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The Right Stuff: The Role of MLOps in AI Success

CIO

Interestingly, many companies do just that, creating a disconnect between data science teams and IT/DevOps when it comes to AI development. Data scientists would really love to just build models and do real core data science. This gap is a significant reason why AI pilot projects fail. “AI MLOps to the rescue.

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9 Great Reasons to Join the DataRobot AI Experience Virtual Event Jun 7-8

DataRobot

Through a series of virtual keynotes, technical sessions, and educational resources, learn about innovations for the next decade of AI, helping you deliver projects that generate the most powerful business results while ensuring your AI solutions are enterprise ready—secure, governed, scalable, and trusted.

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Win-Win: Everyone Benefits from Adding Data Virtualization to Your Data Integration Toolbox

TIBCO - Connected Intelligence

Sports are like that. That’s what I like about data virtualization. By adding data virtualization to your data integration toolbox, everyone can win across your organization—from data consumers to data engineers. . A Win for Data Engineers. Someone wins. Someone loses. . Win-win-win!

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Top Data Science experts you should know about

Apiumhub

Kirk Borne is a Principal Data Scientist at Booz Allen Hamilton. As an astrophysicist formerly working at NASA, Borne was the expert called upon to brief the President of the United States on data mining post 9/11, as the government explored how to use data mining to detect and prevent another terrorist attack.

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Any Data Hub: Holistic Data Management for Evolving Business and IT Needs

TIBCO - Connected Intelligence

This strategy will provide capabilities for: Any business need: Get timely, trusted, reusable in-motion and at-rest data for any business use case. Depth and breadth of connectivity, 350+ sources including Enterprise Data Warehouses, data lakes, streaming, cloud, and more. Any team: Data is a team sport.

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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.

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Analytics Maturity Model: Levels, Technologies, and Applications

Altexsoft

Sometimes, a data or business analyst is employed to interpret available data, or a part-time data engineer is involved to manage the data architecture and customize the purchased software. At this stage, data is siloed, not accessible for most employees, and decisions are mostly not data-driven.

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