From Developer to Successful Machine Learning Entrepreneur: Aparna Dhinakaran, Co-Founder, CPO of Arize (Part 1)

We have a huge audience of developers, engineers, and programmers who want to transition to becoming successful entrepreneurs. This conversation explores the journey of such a developer. Fantastic story! Sramana Mitra: Let’s start at the very beginning of your journey. Where are you from? Where did you grow up? What kind of circumstances?

8 Udemy Courses on How To Build a Machine Learning Startup

There are over six million students enrolled in Machine Learning courses on Udemy. The most daring will try to start their own businesses.

Thought Leaders in Big Data: Ganes Kesari, Cofounder & Chief Decision Scientist of Gramener (Part 4)

Sramana Mitra: You have not thought about productizing some of the visualization capabilities that you have developed? Ganes Kesari: That’s something that we are currently doing. There are several solutions like this that are domain-specific where we have highly specialized implementations of analytics or visualization solutions. We are creating horizontal solutions. We already have a

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Thought Leaders in Big Data: Ganes Kesari, Cofounder & Chief Decision Scientist of Gramener (Part 3)

Sramana Mitra: You don’t use off-the-shelf visualization tools like Tableau or FusionCharts? There’s a whole bunch of visualization capabilities available. You don’t use any of that. You do everything from scratch. Ganes Kesari: That’s right. We don’t use the official product. The approach we follow is more programmatic. Our platform is built on Python and

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Thought Leaders in Big Data: Ganes Kesari, Cofounder & Chief Decision Scientist of Gramener (Part 2)

Ganes Kesari: The final aspect is the storytelling. There can be great insights from analytics, but unless it’s used by the organization, it is a waste. That’s where we bring in a data visualization and storytelling layer to convert all of these insights into interactive stories. That’s consumed by all the teams – product, marketing,

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Thought Leaders in Big Data: Ganes Kesari, Cofounder & Chief Decision Scientist of Gramener (Part 1)

This is an excellent discussion on visualization products in the Big Data space and the gaps that could be filled by new entrepreneurs. Sramana Mitra: Let’s start by introducing our audience to yourself as well as to Gramener. Ganes Kesari: I have 16 years of experience in technology and half of that has been as

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Thought Leaders in Artificial Intelligence: Mike Flannagan, SVP of Analytics, SAP (Part 6)

Sramana Mitra: In your estimate, how are we in getting to that kind of usability of being able to use AI in a highly-leveraged way without having rocket science capabilities in the individuals? Mike Flannagan: I think we’re doing a great job on the consumer side. Amazing work has been done to provide those sorts

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Thought Leaders in Artificial Intelligence: Mike Flannagan, SVP of Analytics, SAP (Part 5)

Sramana Mitra: Unintended bias has been very intentional in the past. Mike Flannagan: That’s the thing. If you look at the way compensation is generally determined, it’s based on salary history. If you consider the fact that, historically, there was an intended bias, it’s based on a history. If we want to remove that inherent bias,

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