Thought Leaders in Artificial Intelligence: Amir Hever, CEO of UVEye (Part 2)

Sramana Mitra: Let’s do another use case.

Amir Hever: The second use case would be car rentals. When you rent, they ask you to mark all the damages that you see. Usually, it’s really hard because you probably don’t cover all of the damages. When you return it, they can charge you for damage that you either haven’t seen or a real damage that you made.

Thought Leaders in Artificial Intelligence: Amir Hever, CEO of UVEye (Part 1)

This is a fascinating discussion on how UVEye is applying computer vision and machine learning to vehicle inspection for use cases such as terrorism prevention.

Sramana Mitra: Let’s start by introducing our audience to yourself as well as to UVEye.

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 few solutions.

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 use Javascript. It integrates with D3 charts.

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, and sales. They understand integrated customer experience and what actions their specific teams need to take. That’s one area where we’re seeing a lot of benefits for the customer. They’re able to target their investment and are able to see some ROI.

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 an entrepreneur in the data science industry. In the early part of my career, I focused on driving strategic technology initiatives for clients like General Electric and AT&T.

1Mby1M Deal Radar 2019: Amplify.ai, Palo Alto, CA

According to Statistics MRC, the global contact center market was estimated to be $26 billion in 2018. Amplify.ai claims to be the industry’s first and only AI-driven engagement platform that amplifies customer engagement with immersive and persistent conversations. Its end-to-end platform offers tools to measure, optimize and manage the full lifecycle of a brand experience.

Thought Leaders in Artificial Intelligence: Socialbakers CEO, Yuval Ben-Itzhak (Part 6)

Sramana Mitra: In a way, it kind of feels like some of these fat startups need to happen because there’s so much fragmentation in every single workflow right now. Marketing is one them. Content marketing is one of them. Digital marketing is one of them. Wherever you look, there’s so much fragmentation in capabilities.

Yuval Ben-Itzhak: Well, there’s actually a solution and a great example of a startup that very recently was acquired for more than $500 million. Before I started my journey in marketing, I spent 20 years in security. Computer security is as fragmented as marketing. There are so many security positions in a typical organization in IT. >>>