Ahead of Next

Welcome to Ahead of Next, a podcast by Udacity. Join us for conversations with changemakers who are leading their companies into the future of work. Get expert insight and advice on how to succeed at innovation inside the enterprise from people who have done it successfully.

How enterprises leverage their strengths to compete in a digital-first world

Robert Siegel, a venture investor who lectures in management at the Stanford Graduate School of Business, explodes myths about large enterprises and startups, and breaks down the advantages each has in a world that blends digital and physical. Siegel, a venture partner at Piva and a general partner at XSeed Capital, researched over 70 compelling companies to understand what sets them apart. He shares his findings in his recent book, The Brains and Brawn Company: How Leading Organizations Blend the Best of Digital and Physical.

10-05
28:57

How to lead an ad-tech revolution with MightyHive CEO Pete Kim

Join us for a conversation with Pete Kim, CEO and co-founder of MightyHive, a leading ad-tech firm that was acquired by S4 Capital. Kim held senior product management and business development roles at Google and Yahoo! Learn what it takes for large enterprises to lead and stay ahead in both advertising and innovation.

09-21
28:16

Autonomous Vehicles and AI in the real world with Designated Driver CEO Manuela Papadopol

Designated Driver is a company that puts the “driver” back into “driverless” by enabling remote vehicle operation. Learn about seamlessly deploying AI in the real world by getting the right talent on board, from CEO Manuela Papadopol.

09-14
17:43

Machine Learning: Lessons from retail leaders

Retail is an industry that embraced machine learning's potential to deliver faster, better, more personalized customer experiences. In our conversation, we explore what lessons other businesses can learn from online retail trailblazers, like Amazon. Our guest, Cristobal Garib, is a technical product manager at Amazon and a self-proclaimed AI and Machine Learning enthusiast.

09-07
20:08

Machine learning in practice: Lessons from healthcare on real-time service

As more companies use Machine Learning, teams confront the challenges of deploying a live service model. Join us for a conversation with Paul Wyatt, Senior Machine Learning Engineer at Virta Health, whose mission is to reverse diabetes in patients. Discover the lessons learned from deploying AI and Machine Learning in a healthcare setting.

08-24
20:37

How to level up your business with Artificial Intelligence

On the Udacity: Ahead of Next podcast, we recently had the pleasure of interviewing Umang Shukla, AI Success Director at DataRobot, a company that accelerates organizations' data science and machine learning capabilities with an end-to-end enterprise AI platform. Learn about the increasingly important role artificial intelligence will play in the field of data analytics for business, driving faster decisions and better business outcomes. 

08-17
18:40

The Enterprise Advantage: How big companies harness the power of innovation

Learn about the advantages large companies have when it comes to innovation and how leaders can harness these opportunities. Our guest Edward Wiley is a senior executive with 20 years of experience building, leading, and advising world-class Machine Learning, AI, and Data Science teams. Host Kirk Werner, VP of Content at Udacity, has spent the last 15 years building online content experiences that drive businesses forward.

08-10
30:13

Capital One’s culture is its secret to remaining a part of the vanguard in Financial Services

Join us for a conversation with Phil Kim, of Capital One Growth Ventures, about how the company's culture is its secret to remaining a part of the digital vanguard in Financial Services.

08-04
24:36

Ahead of Next Trailer

Join us for conversations with changemakers who are leading their companies into the future of work. Get expert insight and advice on how to succeed at innovation inside the enterprise from people who have done it successfully. 

06-30
01:10

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