Is Your Organization Ready for Agentic AI?
This article covers the key signs of organizational readiness and lays out a practical roadmap for getting there.
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Services: Data Analytics
Industries: Financial Services, Nonprofit, Professional Services, Real Estate, Technology
Alan has nearly a decade of experience working as a technology professional. He has a strong foundation in data analytics, statistics, and machine learning.
As Data Analytics Manager at BPM, Alan leads his team in developing and implementing data-driven solutions that help BPM and clients achieve their business objectives.
In addition to his role at BPM, Alan has spent the last five years working as a data science educator, helping professionals learn the fundamentals of data science and visualization.
As an experienced educator, he is committed to providing his BPM team with guidance, helping to further develop their skills and keeping them versed in the latest developments in data science techniques and applications.
In his spare time, Alan likes to read, go to the gym and play guitar.
Data Science Certification (University of California, San Diego)
This article covers the key signs of organizational readiness and lays out a practical roadmap for getting there.
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BPM recently hosted a webinar where data analytics professionals walk through what agentic AI is, how organizations can prepare for it, and where implementations tend to go wrong.
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Traditional ROI models were built for a different era, one where automation meant speeding up a single task in a single department. Agentic AI doesn’t work that way, and neither should the way you measure it.
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