Jim Barksdale, former Netscape CEO is attributed to saying “If we have data, let’s look at data. If all we have are opinions, let’s go with mine”. Today, data is key for decision making. But, how about if you take it a step further and monetize data? This session explains how data monetization can work for businesses.

𝙇𝙚𝙖𝙧𝙣𝙞𝙣𝙜 𝙊𝙗𝙟𝙚𝙘𝙩𝙞𝙫𝙚𝙨: The attendee/participant will...
• Determine how to improve one’s approach data and start thinking about data monetization
• Define the six components comprising the “DAT MONEY Matrix” (emphasis, on the six components to data monetization: data critical mass, data analytical tools, data purchase and sell points, and relationship).
• Capture the different data cycle functions and stages to data monetization: data preparation, data management, data usage, data analytics, data science, AI = data monetization
• Understand the role of Artificial Intelligence in Data Monetization

𝙆𝙀𝙔𝙒𝙊𝙍𝘿𝙎:
• Big Data
• Data Framework
• Artificial Intelligence
• Data Monetization
• Future of AI

𝙏𝙖𝙧𝙜𝙚𝙩 𝘼𝙪𝙙𝙞𝙚𝙣𝙘𝙚:
• Business leaders and decision-makers looking to leverage their data to get value from it
• Tech enthusiasts and students curious about the monetizing data