For projects employing machine learning or deep learning, the acid test doesn’t come from making that first “win.” Instead, the true test is making successes from embracing AI consistent and repeatable. Like most new technology innovations, for AI, the spotlight has initially been on the technology. Because the AI practice in the enterprise is still in its infancy, there is less knowledge about the “soft” side: understanding how to build the teams of people that make AI happen and creating the processes that can make success repeatable.
Dataiku and Ovum are collaborating on a jointly sponsored primary research study to address the knowledge gap on “the soft side” of making AI work for the business, conducting a qualitative survey of specially selected leaders and practitioners in the field, including chief data officers, chief officers and directors of data science, and chief officers and directors of analytics. Tony Baer and Florian Douetteau summarize the lessons learned from this research and identify best practices for ingraining AI into the business, based on actual experience in the field.
Tony and Florian outline the best practices that early adopters have identified for challenges such as:
Join in to learn key action items for keeping your machine learning and deep learning projects aligned with the business.
Tony Baer is the founding principal of dbInsight LLC, which provides independent counsel to data and analytics technology providers navigating a changing world where cloud deployment, artificial intelligence, and data are upending their client’s expectations. Baer is an authority on how cloud-native architecture can transform traditional on-premise data platforms, and how it can be used to break down data and application silos. He coauthored some of the earliest books on the Java and .NET frameworks, including Understanding the .NET Framework and J2EE Technology in Practice. His career began as journalist with leading publications including Computerworld, Application Development Trends, Computergram, Software Magazine, InformationWeek, and Manufacturing Business Technology.
Florian Douetteau is the CEO of Dataiku, a company democratizing access to data science. After starting programming in his early childhood, Florian dropped out of the prestigious École Normale maths courses to start working at a startup that later became Exalead, a search engine company in the early days of the French startup community. His subjects of interests include data, artificial intelligence, and how tech can improve the daily work-life of tech people.
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Comments
Mr Baer, any chance you’d share your slides? Great presentation. Thanks