Abstract: 

As enterprises strive to harness data science and AI from inward (i.e. automation to reduce operating expenses) and outward (i.e. creating new lines of business and routes to market which were previously not technically feasible) perspectives, the range of outcomes that have been achieved (or not achieved) across and within industries continues to be incredibly wide. A common foundation within successful enterprises is that they all have effective data enablement practices. In the same way that high achieving sales organizations are bolstered by competent sales enablement team(s), data science and AI practitioners are significantly more impactful when provided the same type of support. This is the role that data evangelism should and can fill- and in doing so, enable greater achievements by organizations’ AI and data science team(s). Through an approach as data-driven as data science itself, data evangelism has the potential to not only inspire individuals to leverage data, but to enable them to do so through a unique set of tools. This talk dives into this opportunity, presenting specific models and actionable insights.

Bio: 

Jennifer Redmon joined Cisco in 2009 and serves as its Chief Data Evangelist. Her organization enables an insight-driven culture through globally-scaled data products, services, and community enablement. In response to the shortage of data and analytical talent in the marketplace, her team has upskilled over 3,000 employees to date in the areas of data science, artificial intelligence, data storytelling and data engineering. By hosting virtual and physical events including AI/data science competitions and symposiums as well as always-on collaboration platforms, her organization interconnects and fosters a thriving federated community of practitioners who drive innovation across functions and geographies.

Jennifer holds an international MBA from Duke University with a concentration in Strategy and Bachelor’s in Economics and Art History from UC Davis.