Source: ISQED

Data Summit is Accepting Speakers and Sponsors for 2016 Event

September 22nd Santa Clara, CA

SANTA CLARA, CA--(Marketwired - May 09, 2016) -  Data Summit announced today it is accepting speakers and sponsors for the 2016 event which is planned to be held on September 22nd in Santa Clara, CA.

Data Summit 2016 is a leading event for anyone who is serious about big data, data analytics, and data security in particular related to the Internet of Things. This event intends to bring together professionals, industry experts and leading researchers in the field of data analytics and data security.

"Big data, and data analytics are going to play a disruptive role in business, healthcare, consumer, security, government, and many other aspects of human life for years to come," Said Dr. Ali A. Iranmanesh, ISQED president. "Data Summit provides a forum to explore and highlight opportunities and organizations active in this area and identify effective ways to get there."

The conference delves in the diverse field of big data and data mining, covering areas like data analytics for the Internet of Things, data analytics methods and algorithms, data analytics tasks and processes, data analytics applications in science, engineering, healthcare and medicine, big data applications, data mining tools and software, data warehousing, artificial intelligence, machine learning, etc.

Interested speakers are invited to send proposal outlining the title and summary of talks in any of the following subjects:

Data Analytics Applications:

  • Data Economics
  • Value Creation through Data Analytics
  • Data for Business Model Innovation
  • Data in Business Performance Management
  • Internet of Things (IoT)
  • Healthcare
  • Government
  • Consumer
  • Security
  • Drones and Space
  • Robotics Automation
  • Data Warehousing
  • Artificial Intelligence

Data Search and Mining:

  • Algorithms and Systems
  • Data Mining Platforms
  • Machine learning
  • Data Visualization
  • Analytics for Big Data

Data Protection

  • Integrity and Privacy
  • Models and Language
  • Privacy Preserving Data Analytics
  • Data Encryption

Data Management & Architecture

  • Data Preservation
  • Data Quality
  • Data Management
  • Cloud Computing
  • Data in Mobile and Pervasive Computing
  • Data Open Platforms

Speaking proposals can be submitted through the following link:

For a list of sponsorship opportunities visit here:

For other information visit

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Editorial Contact:
Lana Dunn