Learn more about data science and privacy and how laws like GDPR are changing the market and technology landscape.

Trust Me…Privacy and Security in Data Science

Artficial intelligence (AI) is baked into virtually every modern software application we use. From automatic spam filters in your email account, to recommending movies to watch on Netflix or products to buy from Amazon, AI is becoming pervasive in consumer applications. In this episode, IQT's VP of Enterprise Technologies discusses the rise of artificially intelligent devices, how far they've come, and what the future might hold for the technology.

State of affAIrs

Listen in as Anaconda, Inc.'s Peter Wang sits down with CosmiQ Works, an IQT Lab, to discuss open source software and its role in data science research and product development.

Data Science, Open Source, & All That: A Conversation with Anaconda

Consider all of the onboard analytics necessary for autonomous/semi-autonomous car operations such as lane assist. These offerings present a new attack surface for malicious actors in a myriad of industries ranging from automotive to space systems. Yet, market trends are clearly moving towards more increasing connectivity and expanding edge analytics for most of the devices we use in our daily lives. The question becomes the following: what can organizations do to increase cybersecurity of their embedded systems while these market dynamics unfold?

Join us for a discussion with Red Balloon Security’s Founder and CEO, Dr. Ang Cui, and Research Scientist Joseph Pantoga, to learn about security implications (and potential solutions) of deploying artificial intelligence models to connected embedded devices.

Mentioned links:
https://www.blackhat.com/us-19/
https://www.redballoonsecurity.com/ 
https://www.escar.info/images/Datastore/2018_escar_USA/AutomotiveSandbox_Nathaniel_Boggs_Escar_USA_2018.pdf

Enabling Analytics (+ Security) At The Edge

Determining optimal routing paths in near real-time is at the heart of many humanitarian, civil, military, and commercial challenges. This statement is as true today as it was two years ago when the SpaceNet® partners announced the SpaceNet Challenge 3, focusing on road network detection.

In this Training_Data podcast we are joined by Ryan Lewis and Adam Van Etten to learn about SpaceNet’s upcoming fifth challenge that revisits road detection, routing, and now travel time estimation from satellite imagery. This public challenge will test participants’ ability to automatically extract road networks from satellite imagery, along with travel time estimates along all roadways, thereby permitting true optimal routing.

SpaceNet is a collaborative effort between CosmiQ Works, AWS, Maxar, and Intel AI. Learn more at www.spacenet.ai.

Are We There Yet? Announcing SpaceNet 5: Roads, Routes, & Travel Times

Not-for-profit strategic investor accelerating the development and delivery of cutting-edge technologies to support the national security community.