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Artificial Intelligence in Industry

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United States

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English


Episodes

How IT Services Firms Can Adapt to Artifical Intelligence

10/21/2018
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In this episode of the AI in Industry podcast, we interview Nikhil Malhotra, Creator and Head of Maker's Lab at Tech Mahindra, about how artificial intelligence changed the nature of IT services and business services in general. Malhotra talks about what businesses should consider to make themselves relevant for the future. In addition, he discusses the philosophy shift that has to happen for people to be appreciative of the process of problem-solving, and to see profit and growth from AI....

Duration:00:24:59

Predicting Sales Propensity with Artificial Intelligence - Opportunities and Challenges

10/14/2018
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Episode Summary: Prominent technology companies like Google and Amazon lead the way in the B2C world, having access to streams of searches, clicks, and online purchases. They have access to large volumes of consumer data pointss numbering in the billions that can be used to train machine learning algorithms. B2B companies operate under a different model: "propensity to buy," as it's called. A typical B2B company might at most make a couple hundred sales per year, and many B2B companies make...

Duration:00:22:45

Bridging the Data Science Gap - Why Subject-Matter Experts Matter

10/12/2018
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For business leaders who are thinking about integrating AI into their company or who are just in the very beginning of that journey, this may be a useful episode of the podcast. Many times, people think that finding the right talent is the biggest challenge when it comes to integrating AI into the enterprise. Much of our own research and conversations with machine learning vendors and the consultants trying to sell AI into the enterprise actually think there's another, bigger problem:...

Duration:00:23:10

How Machine Learning Could Help CPG Companies Beat Out Their Competitors

10/11/2018
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One of most fun parts about doing our geolocation pieces at TechEmeergence is that we are able to interview so many people within a given country or city. Recently we did a huge piece on AI in India. We got to interview folks from the government and the bigger existing businesses, as well as a handful of people at the unicorns in Bangalore. One of those companies is Fractal Analytics. Fractal Analytics works in a number of spaces. One of them, consumer packaged goods, is an area on which we...

Duration:00:22:36

AI for Enterprise Search - Challenges and Opportunities

10/7/2018
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In this episode of the AI in Industry podcast, we interview Grant Ingersoll at Lucidworks, about enterprise search. Ingersoll talks about how companies have massive amounts of siloed data, making it difficult to find within enterprise systems. We hope businesses might take away from this interview what is required and what is involved in building search applications to make corporate data more accessible and structured. Ingersoll will also discuss how data strategies are going to evolve and...

Duration:00:20:56

How to Determine the Data Needs of an AI Project or Initiative

9/30/2018
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We receive a lot of interest from business leaders in the domain of data enrichment, and we've executed on a few campaigns for these businesses. At the same time, our audience seems particularly interested in the collection of data to train a bespoke machine learning algorithm for business, asking questions related to how to get started on data collection and from where that data could come. This week on AI in Industry, we seek to answer those questions. We are joined by Daniela Braga, CEO...

Duration:00:22:46

Data Collection and Enhancement Strategies for AI Initiatives in Business

9/27/2018
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There’s more to successful AI adoption than picking the right technology. Business leaders should be aware of the technical requirements of the initiative they’re undertaking, and few of those requirements are as important as data. For this episode, we spoke with Mark Brayan, CEO of Appen, a firm that offers crowdsourced training data for machine learning applications. We discuss how developing a sound data strategy is essential for using AI to solve business problems. Brayan also helped...

Duration:00:30:48

The State of AI for Sales Enablement, and the Evolution of the CRM

9/23/2018
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Over the last year, we've covered a lot of marketing applications. Many people know of our deep marketing research we've done on the landscape of machine learning in marketing applications and which industries will be affected first. But marketing doesn't tell the whole story when it comes to B2B sales. At some point, we need to take these clicks and turn them into appointments, for example. In this episode of AI in Industry, we are joined by Vitaly Gordon, VP of Data Science and Engineering...

Duration:00:23:46

AI for Retail and eCommerce in India - Challenges and Opportunities

9/14/2018
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In this episode of the AI in Industry podcast, we interview Sumit Borar, Senior Director of Data Sciences and Engineering at Myntra, an eCommerce site for fashion, about the current and future state of eCommerce personalization and how the way customers in India purchase products online affect that personalization. Myntra talks about the challenges of bringing dialed-in personalized recommendations to the physical world and the challenges of bringing eCommerce into the developing world. In...

Duration:00:23:14

The Future of Drug Discovery and AI - The Role of Man and Machine

9/9/2018
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This week on AI in Industry, we speak with Amir Saffari, Senior Vice President of AI at BenevolentAI, a London-based pharmaceutical company that uses machine learning to find new uses for existing drugs and new treatments for diseases. In speaking with him, we aim to learn two things: How will machine learning play a role in the phases of drug discovery, from generating hypotheses to clinical trials?In the future, what are the roles of man and machine in drug discovery? What processes will...

Duration:00:25:58

AI for Government and NGO Social Good Initiatives - an Interview with the Wadhwani Institute

9/2/2018
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We usually discuss the impact of artificial intelligence on a business's bottom line, but governments and NGOs are also considering AI as a mechanism for improving society. This week on the AI in Industry podcast, Anandan Padmanabhan, CEO of the Wadhwani Institute for Artificial Intelligence in India, speaks to us about where and how the public sector should consider leveraging AI. Padmanabhan discusses the challenges that the Indian government faces in providing education and healthcare...

Duration:00:21:02

Machine Learning for Video Search and Video Education - How it Works

8/26/2018
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AI has made it easier to understand text as a medium in a deeper, more efficient way and at scale. With video, the situation is quite different. Searching for content within videos is more challenging because video is not just voice and sound, it is also a collection of moving and still images on screen. How could AI work to overcome that challenge? In this episode of the AI in Industry podcast, we interview Manish Gupta, CEO and co-founder of VideoKen, about the future of video search as...

Duration:00:30:29

AI in Industry: How AI Ethics Impacts the Bottom Line - An Overview of Practical Concerns

8/20/2018
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This week on AI in Industry, we are talking about the ethical consequences of AI in business. If a system were to train itself to act in unethical or legally reprehensible ways, it could take actions such as filtering or making decisions about people in regards to race or gender. When machine learning is integrated into technology products, could a misbehaving system put the company at financial and legal risk? Our guest this week, Otto Berkes, Chief Technology Officer of New York-based CA...

Duration:00:26:26

How Recommendation Engines Actually Work - Strategies and Principles

8/19/2018
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When we think of recommendation engines, we might think of Amazon or Netflix, but while consumer goods and entertainment might be the most prominent domains for recommendation engines, there are others. This week, we speak with Madhu Gopinathan of MakeMyTrip.com, one of the few Indian unicorn companies, about recommendation engines for travel companies. According to Madhu, MakeMyTrip’s recommendation engine has to figure out the best hotels for customer given their destination, but...

Duration:00:20:03

What Executives Should be Asking about AI Use-Cases in Business

8/15/2018
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When contemplating a new venture into AI or machine learning, companies need to take on a number of important considerations that relate to talent, existing data and limitations. One way executives can judge how successful or appropriate and AI project would be for their company is to examine use cases of businesses that have previously done something similar. With AI and machine learning news increasing in tech media, a business leader may find it challenging to cut through the hype and...

Duration:00:23:11

NLP for Text Summarization and Team Communication

8/12/2018
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Episode Summary: In this episode of the podcast, we interview AIG’s Chief Data Science Officer, Dr. Nishant Chandra, about natural language processing (NLP) for internal and team communication. Dr. Chandra talks about how NLP can help with sharing documents with specific team members whose roles warrant viewing those documents. Instead of a broad memo that would go out across the company, a document could be transformed to a tailored message depending on the individual receiving it. For...

Duration:00:17:51

How to Determine the Best Artificial Intelligence Application Areas in Your Business

8/3/2018
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This week’s episode of the AI in Industry podcast focuses on two main questions. First, how should business leaders determine the most fruitful, potential applications of AI in their business? Second, how do they choose the right one into which to invest resources? This week, we interview someone who has spoken with a number of CTOs and CIOs about early adoption strategies for machine learning for customer service, marketing, manufacturing and other applications. He is Madhusudan Shekar,...

Duration:00:22:09

The Financial ROI of AI Hardware - Top-Line and Bottom-Line Impact

7/30/2018
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At TechEmergence, we often talk about the software capabilities of AI and the tangible return on investment (ROI) of recommendation engines, fraud detection, and different kinds of AI applications. We rarely talk about the hardware side of the equation, and that will be our focus today. For hardware companies like Nvidia, stock prices have soared thanks to the popularity of new kinds of AI hardware being needed not only in academia but also among the technology giants. Increasingly, AI...

Duration:00:24:37

The Future of Advertising and Machine Learning - Audience Targeting, Reach, and More

7/29/2018
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Episode Summary: Facebook and Google’s advertising complex is founded on machine learning, allowing people to self-serve their data needs across a broad audience. India-based InMobi is a company in the advertising technology space that delivers 10 billion ad requests daily. Today, we speak with Avi Patchava, Vice-President of Data Sciences and Machine Learning at InMobi, which operates in China, Europe, India, and the US. Patchava explains how machine learning plays a role in appropriately...

Duration:00:19:00

How Existing Businesses Should Organize Their Data Assets for AI

7/22/2018
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Companies with wells of data at their disposal may find themselves asking how they can use them in meaningful ways. Generally speaking, a clean set of data is the foundation for AI applications, but business owners may not know how exactly to organize their data in a way that allows them to best leverage AI. How exactly does a business transition from having data with the potential for usefulness to having data that’s going to allow for an accurate, helpful machine learning tool—one that can...

Duration:00:30:27