Join the SAP Big Data Chat – The Data Scientist

Posted by Alyce Lindquist on November 14, 2013

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Join us for the next SAP Big Data Chat. We’re talking about data scientists in the world of big data and new predictive analytics tools. In what Harvard Business Review called “a new breed,” the data scientist is a role that is increasingly valuable to technology businesses and is instrumental in using predictive analytics to impact the bottom line.

In this interactive discussion we’ll take a look at the changing role of the data scientist

  • Learn more about the data scientist role and how it’s evolving in the world of big data and predictive analytics
  • Find out the key characteristics of predictive technology that today’s data scientists are looking for
  • Get real-world examples of SAP Big Data and data scientists providing real business value today

When: Wednesday, December 4, 8am PT / 11am ET / 5pm CET

Where: Watch via the live video stream (once the event starts) and chat via Twitter #SAPChat

Click and add to your Outlook calendar


How to Join the Conversation

Watch

  • Watch the live video stream on the SAP Community Network via Google Hangout On Air at http://scn.sap.com/welcome
  • Don’t worry, you don’t need to have a Google+ account to watch the live stream. At 8am PT, simply click the above link (works with any browser) to watch and listen to the conversation.

Chat and Ask Questions

  • The tweetchat is at #SAPchat. Join the conversation and tweet your comments/questions about #BigData while you watch the live video stream – using the #SAPChat hashtag.
  • What’s a tweetchat? It’s a real-time “meeting” on Twitter, 140 characters at a time. Simply log in to Twitter (you can create an account at www.twitter.com) and include the hashtag #SAPchat along with your comments and questions. You’ll be in the conversation! Watch the stream of tweets with any Twitter app, such as Tweetdeck, Hootsuite or Tweetchat.com.



SAP Big Data Chat Speakers

David Ginsberg 3.JPG

David Ginsberg

Chief Data Scientist, SAP

@DavidWGinsberg


David Ginsberg is Chief Data Scientist at SAP. In this role, he is globally responsible for SAP’s Data Science organization, managing top level experts who develop and deliver some of the most sophisticated use cases for Big Data and Predictive Analytics. He is part of the senior management team for Platform Solutions and Big Data at SAP, and joined the SAP Services Board of Advisors in 2013.


A recognized expert in demand forecasting, decision support tools, simulation, optimization and automation, Ginsberg and his team work directly with C-level and senior business executives, building new analytic tools and providing guidance to help business leaders gain deeper insights into where their business performance can be improved. His personal focus has been overseeing the development of solutions that address some of the most important Big Data issues, Enterprise Transformation and Innovation leveraging SAP’s in-memory technology.

Ginsberg joined SAP in 2006 and has held various management positions at SAP, Khimetrics, AMEC, Agra Simons, and Fluor Daniel, where he built stand-out, high performing teams, and oversaw all aspects of the business.

He holds a PhD from Julius Kruttschnitt Mineral Research Centre, University of Queensland, Australia, a Master’s degree in Electrical/Electronic (Control) Engineering from the University of Cape Town, South Africa, and a Bachelor’s degree in Electrical/Electronic Engineering from the University of Cape Town, South Africa.


/wp-content/uploads/2013/11/sekhar.jpgShekhar Iyer

Global VP of Business Intelligence and Predictive Analytics, SAP

@ShekharIyer111

Shekhar Iyer has recently joined SAP as Global Vice President of Business Intelligence and Predictive Analytics. He is responsible for the Solutions Management, Go-To Market & Sales/COE Specialist functions for these solution areas and part of the leadership team for the Global Platform and Solutions organization. He is based out of Stockholm, Sweden.

Prior to SAP, Shekhar was the General Manager for Center of Excellences at SAS based out of Stockholm, Sweden with responsibilities covering the EMEA/AP regions for two years. In that role he managed the global organizations that were responsible for the Field Operations with EMEA/AP revenue responsibility. He has managed businesses around Business Intelligence, Predictive Analytics, Risk and Governance Solutions, Customer Analytics and Information Management.

Prior to SAS, Shekhar was at Informatica based out of Redwood City, California in the US for almost 10 years. His most recent role at Informatica was as SVP and General Manager for Informatica’s Strategic Initiatives Unit. In that role he managed the global organizations that were responsible for the Field Operations with worldwide revenue responsibility.


Mr. Iyer has spoken at numerous user conferences both in the US and internationally. He graduated with undergraduate degree in Mechanical Engineering from Indian Institute of Technology (IIT) Bombay, India and a graduate degree in Industrial Engineering from University of Buffalo, New York, USA.

/wp-content/uploads/2013/11/timo2.jpgTimo Elliott

SAP Innovation Evangelist

@timoelliott


Timo Elliott is an innovation evangelist and international conference speaker who presents to IT and business audiences around the world on the latest trends in information strategy and technology.


His popular Business Analytics blog at
timoelliott.com tracks innovation in analytics and social media, including topics such as big data, collaborative decision-making, and social analytics.

A 22-year veteran of SAP BusinessObjects, Elliott works closely with SAP research and innovation centers around the world on new technology prototypes. His
PowerPoint Twitter Tools lets presenters see and react to tweets in real time, embedded directly within their slides. He has a draft US patent in the area of augmented reality analytics.

Prior to Business Objects, Elliott was a computer consultant in Hong Kong and led analytics projects for Shell in New Zealand. He holds a first-class honors degree in Economics with Statistics from Bristol University, England.

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