Telekinesis–Data to Data Conversations

Sheltering in Place with Jim Scott from NVIDIA

In this episode of Telekinesis, we welcome Jim Scott, Head of Developer Relations, Data Science at NVIDIA. We dive into the world of GPUs, RAPIDS, coffee and navigating life while sheltering in place.

Founding Fathers Pt. 1 - Kinetica Genesis and Product Conversations with Co-Founder and CTO Nima Negahban

Nima is the original developer and software architect of the Kinetica platform. Leveraging his unique insight into data processing, he established the core vision of the Kinetica platform and leads Kinetica’s technical strategy and roadmap development while also managing the engineering team. We zero in on the genesis story of Kinetica, which hearkens back to Nima’s days as a Wall Street trader where, driven by the climbing cost of running AWS instances to power trading algorithms, he started toying around with GPUs in his apartment (which, conveniently, didn't charge tenants for electricity). That’s when he began to realize the value GPUs could bring to analytics. Fast-forward to Nima burning out on the trading lifestyle: He reconnects with college friend and Kinetica co-founder and president Amit Vij, who had already secured a government contract for geospatial consulting. This led to the combination of Amit's geospatial application and Nima’s GPUs to power advanced analytics, and eventually, the development of the Kinetica insight engine we know today! Beyond the genesis of Kinetica, we discuss a variety of topics surrounding the big data analytics market, Kinetica product features, and most importantly, the reality of hair loss as we get older. You can check out Nima's LinkedIn here, follow him on twitter here, and read his most recently published article on how to Supercharge IoT Analytics with GPUs TechTarget here.

Streaming: The Driving Force Behind the Extreme Data Economy

In this episode of Telekinesis, Data-to-data Conversations, we welcome Tim Berglund, Confluent’s Senior Director of Developer Experience! Tim is a passionate technology leader with a background in engineering, consulting, public speaking, and technology training. In this episode, we dive into the world of streaming analytics and discuss how streaming data sources are the driving force behind the Extreme Data Economy. From finance to automotive to the intricacies of edge computing, this is a great episode for anyone interested in the power of streaming data analysis. Follow Tim on Twitter: @tberglund Tim on the Confluent Blog Tim’s Website

“Hail to the Chief” - Talking Extreme Data Economy with Kinetica CEO Paul Appleby

In this episode of Telekinesis, data to data conversations, we welcome Kinetica CEO Paul Appleby to the show to get his perspective on the new world of data we find ourselves living in today, the Extreme Data Economy. We cover a number of topics including the use of data as an organizational asset and raw material to drive revenue. Paul gives a great example of a “data-powered” business called Liquid Robotics who after realizing the data their deep sea robots were collecting was more valuable than the robots themselves, shifted their business model from selling the robots to selling the raw data, for Liquid Robotics, there is no doubt, Data is the Business. Kinetica at GTC San Jose 18

Extreme Data Chat From Across the Pond with Google’s Nick Taylor

In this episode of Telekinesis, data to data conversions, we are pleased to have Nick Taylor from Google Cloud Platform. Nick is an experienced Program Manager and Architect with a demonstrated history of working across industries. Nick is especially skilled in security and privacy, identity & access management, and technical architecture. Nick works with some of the largest customers in the Google Cloud, helping them understand how to best to adopt the cloud and transform their businesses. We discuss the changes in the world of data, focusing on the explosion of different streaming data sources like IoT data and why cloud adoption will continue to increase and what differentiates GCP from alternative cloud vendors. Ultimately, with storage and processing becoming relatively cheap and the boom of IoT creating immense data volumes day after day, individual organizations simply will need the scale of the cloud to keep up with the imminent exponential growth of data over the next few years. Enjoy! Google Cloud Platform (GCP) Adding GPUs to Instances in GCP Google’s Tensor Processing Unit (TPU)