Name: Eric Ries - Evangelizing for the Lean Startup by Stanford eCorner in Technology
Duration: 58 min 38 s
Description: Speaker, author, and entrepreneur Eric Ries shares rapid fire wisdom on building nimble, responsive, and efficient online software-based businesses. He also offers his wisdom on streamlining processes and progressing engineering systems, and puts forth front line insight into why some new ideas succeed where others have failed.

The Lean Startup: Debunking Myths of Entrepreneurship

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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This content is provided for informational purposes only, and should not be relied upon as legal, business, investment, or tax advice. You should consult your own advisers as to those matters. References to any securities or digital assets are for illustrative purposes only, and do not constitute an investment recommendation or offer to provide investment advisory services. Furthermore, this content is not directed at nor intended for use by any investors or prospective investors, and may not under any circumstances be relied upon when making a decision to invest in any fund managed by a16z. (An offering to invest in an a16z fund will be made only by the private placement memorandum, subscription agreement, and other relevant documentation of any such fund and should be read in their entirety.) Any investments or portfolio companies mentioned, referred to, or described are not representative of all investments in vehicles managed by a16z, and there can be no assurance that the investments will be profitable or that other investments made in the future will have similar characteristics or results. A list of investments made by funds managed by Andreessen Horowitz (excluding investments and certain publicly traded cryptocurrencies/ digital assets for which the issuer has not provided permission for a16z to disclose publicly) is available at https://a16z.com/investments/.

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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

Speaker, author, and entrepreneur Eric Ries shares rapid fire wisdom on building nimble, responsive, and efficient online software-based businesses. He also offers his wisdom on streamlining processes and progressing engineering systems, and puts forth front line insight into why some new ideas succeed where others have failed.

Eric Ries - Evangelizing for the Lean Startup

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.

Eric Ries - Evangelizing for the Lean Startup

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