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Big data is not just an acceptable reality now, it has actually gone mainstream. It’s no longer about gathering as much data as possible; now the objective is to make the most money possible from that data. What does the ongoing goal to monetize big data mean for the knowledge worker, such as CEOs, CIOs, CTOs, data analysts, and human resources managers? That is one of the things Tom Davenport will be discussing in his keynote speech as the next Big Data Summit, co-sponsored by Argosight, our parent company, EMC2, State Street Global Exchange, and CoreSite.

 

What, When, and Where Is the Summit?

Big Data and the Knowledge Worker: Impacts on Workforce and the Economy will be taking place on February 27, 2015 at the State Street Channel Center in Boston, Massachusetts from 8am until 11:45am. Full event details can be found at http://www.masstlc.org/events/event_details.asp?id=584385&group=.

Who Will Be There?

Tom Davenport, best-selling author of 16 business books, will be discussing topics from his upcoming book about the future of big data and its impacts on the knowledge worker. Davenport’s keynote, entitled “No Humans Need Apply – Automation and Augmentation” will share valuable insights into:

  • Technologies that are driving knowledge work automation

  • Four types of analytics and how to use them to gain a competitive advantage

  • Knowledge work jobs most likely to be impacted

  • Five steps to augmentation

  • To-dos for the threatened knowledge workers

 

Keynote panelists include Ivan Matviak of State Street Global Exchange, Ed Macri from Wayfair, and Bruce Weed of IBM. These panelists represent various industries already using big data, and they will be able to relate real-life stories similar to the situations discussed in Davenport’s keynote presentation.

 

Additional sessions after the keynote will explore how to build your technology stack, how the workforce of tomorrow will be shaped from today’s data automation, who is making money in big data, and how big data can truly garner remarkable and actionable insights.

 

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