Inside Forbes Councils Episode 17: Making Sense of All That Data

Featuring: Marc Zionts and Humera Malik, Forbes Technology Council

Even if your organization is collecting data, are you able to draw actionable conclusions from it? Forbes Councils members Marc Zionts and Humera Malik share how their companies are helping businesses to leverage data through natural language generation and automation

Never miss an episode. Subscribe to Inside Forbes Councils!

Key Takeaways

  • Data is only useful if we can draw actionable conclusions from it. Hiring analysts and writers to create reports is one way to find the actionable information in data sets, but there are other ways that can be more effective when data needs to be interpreted at scale or constantly reinterpreted.
  • Natural language generation is a process in which AI software consumes data and creates written narratives that sound as though they were written by humans. This process is extremely effective when “mass personalization” is needed. For instance, Automated Insights creates a quarterly story on every public US company’s quarterly earnings. They also generate over 100 million individualized weekly reports for players of fantasy football.
  • Industrial manufacturers often consider their data after-the-fact, but Canvass Analytics’s industrial analytics platform enables them to use their data to predict and automate certain aspects of their operations. AI can constantly reinterpret incoming data and adjust automated processes accordingly.

Featured Member

Marc Zionts has successfully led companies since 1987 and is the CEO of Automated Insights, a Vista Equity Partners owned company. Zionts is an independent board director for Pivot 3, TEOCO, and Friends of the Earth.

Humera Malik is the founder and CEO of Canvass Analytics, where she drives the vision and strategy for changing the way industrial companies think about the use of operational data leveraging AI (artificial intelligence).