IEEE Big Data IEEE Big Data

In part one of this two-part series, Dr. Belanger and Ms. Grise set the tone by explaining where Big Data is today--with thoughts on the primary challenges facing the industry--and how new technologies are poised to enable new applications and services. In this episode, our experts discuss the Big Data company of tomorrow, with takeaways on how Big Data is fundamentally changing the way businesses operate and thrive. They then close out the podcast with comments on their recent panel at the first IEEE Utility Big Data Workshop, which took place in San Antonio, Texas on September 18, 2017.

Big Data isn't what it was 10 years ago. We're starting to see its evolution, as it permeates all industries and influences how businesses make decisions. And Big Data can be different things industry by industry. For professional sports, teams are wanting more insight on player performance and game location. For electric utilities, companies are gathering data associated with outages to help better serve customers. As our 13th episode of the IEEE Big Data Podcast, this is part one of a two-part series--both Dr. Belanger and Ms. Grise offer their perspectives on the "why" behind Big Data and how that influences where it is today. And as you'll hear in this unique podcast, both industry experts offer perspectives that can help businesses steer their Big Data priorities into new and profitable directions.

We continue our podcast series from Turin, Italy at IEEE COMPSAC 2017! For this part two edition, Professor Sorel Reisman and Professor Sheikh Iqbal Ahamed continue their engaging discussion on global disruptive technologies today and in the future and which among them will have the greatest impact, including drone technology, robotics and more. Both experts address Big Data’s impact on current and future tech, weaving in ethical dimensions, standards, and use of data. In addition, they discuss the theme for IEEE COMPSAC 2018 to be held in Tokyo, Japan.

During IEEE COMPSAC 2017 in Turin, Italy, Professor Sorel Reisman and Professor Sheikh Iqbal Ahamed jointly discussed global disruptive technologies today and in the future and which among them will have the greatest impact—all for the IEEE Big Data Podcast, in a two-part series. Both are Big Data experts and provide a very unique perspective on some of Big Data’s impact on current and future tech, along with key considerations. And of course both met the challenge by not only delivering the Big Data element to COMPSAC 2017 but also for this podcast interview. Even better, having both in the same room to provide this podcast's rare recorded commentary was a treat. Give this episode a listen as you pay close attention to what Dr. Reisman and Dr. Ahamed have to say about the impacts of Big Data and more!

IEEE has launched a one-of-a-kind online resource called IEEE DataPort™ designed to make storage of datasets easier, provide access to valuable datasets across a broad scope of topics, facilitate analysis of datasets, and retain referenceable data for reproducible research. This podcast episode features Dr. K. J. Ray Liu--the lead for IEEE DataPort. As a new industry resource, IEEE DataPort is an easily accessible repository of datasets, including Big Data datasets and data analysis tools. As the key takeaway in this podcast, Dr. Liu’s message is to invite industry participation by supplying IEEE DataPort™ with valuable datasets that can be analyzed to advance technology.

The Internet of Things has activated an array of data sources. It's forecasted that there will be somewhere between 20 to 30 billion connected devices by 2020, thanks to IoT. But think of the data that is born from all these devices on a daily basis. Where does it go? How is it analyzed? Who analyzes it? Better yet, what's to be concluded from these bits of data floating around in the IoT stratosphere? Dr. Atilla Elci is on the job. Dr. Elci is the Professor and Chairman of the Electrical and Electronics Engineering Department at Ahksaray University in Turkey. His interest in web semantics, agent-based systems, robotics, machine learning, knowledge representation and ontology, information security, and software engineering all connect to big data in some form or fashion. All these data sources weren't invented over night, as Dr. Elci suggests in this podcast installment—think of it more as inventing how they connect to each other. That's where IoT has found its success.