Stories by Role
Everyone across the enterprise has a role to play in the path to Enterprise AI, whether technical (data scientists, MLOps) or on the business side (analysts, risk, etc.).
Data Scientists and the AI Revolution
Data scientists know what tools and technologies work best for any given task, from prototyping machine learning-based pipelines to deploying scalable data-based services across the enterprise.
Read the StoryData Executives Raise the Bar for a Data-Driven Culture
Data executives have the potential to drive enormous value in their organizations, so long as they are able to encourage data activation in all parts of the business.
Read the StoryThe Evolving Role of the Business Analyst
New types of data, tools, and technologies are shaping the jobs of analysts, taking them in exciting new directions and making them a key underpinning of AI projects.
Read the StoryHow AI is Changing Marketing and Marketers
Data science, machine learning, and AI have changed the nature of marketing, and marketers need to understand this shift so they won’t be left in the dust.
read the storyMLOps as a Critical, Emerging Role
Once companies can easily operationalize and move from a handful to thousands of models in production, who ensures quality and that things stay afloat? Enter: MLOps.
read the storyHow AI is Changing the Game for Risk Managers
The swift movement into the age of AI is exciting, but one that presents additional risks across the enterprise that require a tighter – yet more flexible – governance structure.
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