With machine learning, and predictive analytics being the talk of the tech industry this year, a lot of organizations are still struggling to get a handle out of all of the information that you have in house with data. Predictive Analytics is complex—especially with the volume of Big Data available today. Data Scientists are often required to build and tune models using a sample subset of data (which may not adequately represent the larger dataset) before deployment, extending the time needed to operationalize and get value out of the predictive analysis. HPE Vertica can streamline this process.
Join the Arizona Technology Council and HPE Vertica as we explore the emergence (or reemergence) of machine learning and how data-management practices are evolving to keep up with the new speed and scale of business through continuous, streaming applications and real-time predictive capabilities. Lunch will be included during this informative networking event.
What You Will Learn:
• How Vertica allows for analytics to evolve from descriptive analytics to predictive and prescriptive analytics.
• How you can leverage SQL on large data sets for advanced analytics
• How leading firms are overcoming data science talent shortages through adoption of new technology
About the Speaker:
James Chien is a Solutions Architect with HPE Vertica and has been in the Data Warehousing and BI space for over 15 years. When he’s not dealing with corporate analytics, he’s analyzing card players at the poker room.