Name: Mike Olson, Ping Li - Opportunities Abound in the Big Data Space by Stanford eCorner in Technology
Duration: 59 min 33 s
Description: Cloudera Co-Founder Mike Olson shares his insights on the present landscape and possible future of big data and the data management industry. In conversation with Ping Li of Accel Partners, Olson also discusses the advantages of building a business on top of open source technologies and the many surprising benefits of competition.

Intellectual Property for Long Term Growth

Love it! "We didn't have a go to market strategy, but it was reasonable to assume "Cloud" would be in there some place..."

Technology

Cloudera Co-Founder Mike Olson shares his insights on the present landscape and possible future of big data and the data management industry. In conversation with Ping Li of Accel Partners, Olson also discusses the advantages of building a business on top of open source technologies and the many surprising benefits of competition.

Mike Olson, Ping Li - Opportunities Abound in the Big Data Space

Social Science, Small worlds and Big Data

Instagram Co-Founders Kevin Systrom and Mike Krieger challenge many of the myths surrounding startups and the lives of entrepreneurs. Both former Mayfield Fellows with the Stanford Technology Ventures Program, Systrom and Krieger share their first-hand experiences of the entrepreneurial process, including identifying good problems to solve and the value in building simple solutions and minimum viable products. Systrom and Krieger also discuss aspects of their co-founder working relationship and their efforts to maintain a balance between work and life.

Kevin Systrom, Mike Krieger - From Stanford to Startup

"Machine learning is to big data as human learning is to life experience," says Christopher Nguyen, the co-founder and CEO of big data intelligence company Adatao. Sure, but then, what IS big data? (especially as it's become a buzzword that captures so many things)... 

On this episode of the a16z Podcast, Nguyen puts on his former computer science professor hat to describe 'big data' in relation to 'machine learning' -- as well as what comes next with 'deep learning'. Finally, the former Google exec shares how Hadoop and Spark evolved from the efforts of companies dealing with massive amounts of real-time information; what we need to make machine learning a property of every application (why would we even want to?); and how we can make all this intelligence accessible to everyone.

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a16z Podcast: Making Sense of Big Data, Machine Learning, and Deep Learning

Big Data is evolving. It’s moving from the sole domain of the high priests of data science, to something that practically every organization -- big and small -- and every group within that organization can get its hands on. So what happens now? The implications of the democratization of Big Data are bigger than just big, says Prat Moghe, CEO and Founder of Cazena.

And it’s not just the corporate world that will benefit, he adds, having access to Big Data tools will change how all kinds of organizations, including government agencies and other social services, operate and solve their particular problems

Joining Prat on the pod to describe this changing world of Big Data in the Cloud is a16z’s Peter Levine. If every company, and every organization is becoming a data-driven company, it makes sense to start to put that data to work, Levine says.


a16z Podcast: Big Data Goes Really Big

As the Co-Founder and CTO of Bespoke Innovations, Scott Summit leads a continuing effort to create products that radically change lives. In this lecture, Summit shares insights from creating customized prosthetic devices using new technologies in nascent markets. He also discusses some of challenges his company faced in discovering a working business model and developing customers.

Scott Summit - Products With a Purpose

How is Big Data — the information generated from Google searches, GPS, online shopping and more — changing our lives? Kara Miller asked a panel of experts about the benefits and downsides of the international information database.

Big Data Special: Part 1

The team at Stanford eCorner believes in the powerful combination of evidence and imagination. We share original stories from informed leaders in academia and industry that focus on innovation, startups, culture, and strategy. The goal: empower you to bring bold ideas to life. 

Stanford eCorner is led by the Stanford Technology Ventures Program (STVP), the entrepreneurship center in Stanford University’s School of Engineering.

Mike Olson, Ping Li - Opportunities Abound in the Big Data Space

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