AI-written code can run cleanly and still return the wrong answer. Traversal CEO Anish Agarwal tells Tech Transformed why that breaks incident response and how his customers cut war rooms from 60-100 people to five to 10.
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Discover how DataOps can help data teams reduce errors, shorten analytics cycle times and build more efficient, repeatable workflows that drive innovation and improve data quality. Pasted markdown
Data analytic teams can implement DataOps in seven simple steps: (1) Add data and logic tests, (2) Use a version control system, (3) Branch and merge,(4) Use multiple environments, (5) Reuse and containerize, (6) Parameterize your processing and (7) Work Without Fear™.
Discover how SASE can converge networking and security to overcome legacy infrastructure constraints, improve business agility and support the demands of the digital enterprise.
They need a modern data architecture that can provision trusted data and bring together data and insights from multiple analytical data stores to make it easy for information consumers to access, consume, use and act on it to drive value.
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