
Machine learning can bring significant value to organizations by driving insights from enterprise data. By applying advanced analytical techniques to data sets, machine learning algorithms can uncover hidden patterns, identify trends, and make predictions that would be difficult for humans to do on their own. This can lead to improvements in efficiency, productivity, and customer satisfaction. Some of the key benefits of driving value from enterprise data through machine learning include:
Speaker: Jenna Alden
Director, Product Experience & Engineering Lab
West Monroe

Jenna is an action-oriented leader who excels at driving essential outcomes. She has an acute ability to engineer a clear path forward, through best intentions and ambiguity, for digital products and to enable high-performing teams, aligning and coordinating needed outcomes, priorities, actions, and timelines needed to create impact and momentum. She thinks it’s pretty spectacular to be alive and brings a subtle but persistent passion and enthusiasm to every day. She's a Christian, a Star Trek and science fiction fan, loves to read, solve problems, and enjoy nature, and thinks it’s a pretty spectacular time to be alive.
Speaker: John Schuller
Senior Principle Product Manager, Product Experience & Engineering Lab
West Monroe

I never take for granted how lucky I am to be in a profession that I truly enjoy. Technology and the infinite uses of it is my passion. Helping people get the most out of it is my process. To each project, I bring my special cocktail of user experience design, development experience, and obsession for data science; all while thriving on building a cohesive team that seamlessly works together by incorporating differences in roles and ideas to achieve a business goal. I consider myself a polymath. Whether I’m building smart home devices, training my dog, playing music, or furthering my study in economics, ecology, ancient history, or philosophy, I'm always learning.
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