Thought Leaders in Artificial Intelligence: Blueshift CEO Manyam Mallela (Part 4)

Sramana Mitra: Besides the segments that we touched upon, are there any other segments that we need to cover in this discussion that illustrates other aspects of your technology or have we, more or less, covered everything? Manyam Mallela: This is one aspect of the marketing problem. There are four to five problems in the

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Thought Leaders in Artificial Intelligence: Danny Tomsett, CEO of UneeQ (Part 4)

Sramana Mitra: How many developer partners do you have currently? Danny Tomsett: We have a core group of partners that we work with across the globe. Some of them are large. Today, we work with IBM, Infosys, IPSoft, and Amazon. We’ve got a great core group of technology partners and consultants. That’s an exciting part

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Thought Leaders in Artificial Intelligence: Blueshift CEO Manyam Mallela (Part 3)

Sramana Mitra: Let’s take each of those use cases. It sounds like you have one bucket that is content providers. Udacity is a content business largely. The job of your platform is to enhance engagement around their content. That’s a content engagement problem. In the content engagement problem, you understand what the users’ interests are

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Thought Leaders in Artificial Intelligence: Danny Tomsett, CEO of UneeQ (Part 3)

Sramana Mitra: When I encounter Mia, is Mia pretending to be a human? Am I aware of the fact that Mia is a digital avatar? Danny Tomsett: We purposely want people to not think that she’s a human. Sramana Mitra: That’s good because that’s authentic.

Thought Leaders in Artificial Intelligence: Blueshift CEO Manyam Mallela (Part 2)

Sramana Mitra: Let’s elaborate and do some use cases. Manyam Mallela: Imagine an online learning company that provides education to millions of students. One of our clients is Udacity. Udacity has close to tens of millions of students providing a variety of courses and degrees.

Thought Leaders in Artificial Intelligence: Danny Tomsett, CEO of UneeQ (Part 2)

Sramana Mitra: You’re doing a speech-to-text translation and then doing a natural language processing on it, and then tying that to the learning algorithm. Is that the architecture? Danny Tomsett: That’s right. The digital human is able to understand through speech-to-text and have an idea of what is going on with the user. We’ll pass

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