Artificial Intelligence in Industry with Dan Faggella

Episode summary: There are many challenges to bringing AI into an enterprise for example the lack of skilled AI talent, or issues around data organization. In this week's episode, we focus on AI adoption in the enterprise from an investor’s perspective.

We expect that founders looking to sell B2B enterprise AI-products and people in enterprises who are looking for the right qualities in an AI firm which would ease integration, would find this episode relatable. We speak with Rudina Seseri from Glasswing Ventures about what are the pain points for AI integration in the enterprise and at the other end of the spectrum, some factors that are aiding AI adoption.

Interested readers can see the full interview with Rudina here:

https://www.techemergence.com/reducing-friction-ai-adoption-enterprise-rudina-seseri/

 

Direct download: AI_in_Industry-Rudina_Seseri-Mixdown.mp3
Category:Artificial Intelligence -- posted at: 6:30am PDT

Episode summary: In this week's interview on the AI in Industry podcast, we speak with Amir Konigsberg, the CEO of Twiggle, about the future of product search - and how eCommerce and retail brands can use natural language processing (NLP) to improve their user experience.

Amir explains some of the factors that make eCommerce product search challenging, and the artificial intelligence approaches that can improve it today and within the next five years.

Interested readers can learn more about present and future use-cases for artificial intelligence applications in retail in our full article on that topic.

You can listen to the full interview with Amir Konigsberg from Twiggle here:

https://www.techemergence.com/nlp-for-ecommerce-search-current-challenges-and-future-potential

Direct download: AI_in_Industry-Amir_Konigsberg-Mixdown.mp3
Category:Artificial Intelligence -- posted at: 3:46am PDT

Episode Summary: Machine learning (ML) can be used to identify objects and pictures or help steer vehicles, but is not best suited for text-based AI applications says Robbie Allen, founder of Automated Insights.

In this episode of AI in Industry, we speak with Robbie about what is possible in generating text with AI and why rules based processes are a big part of natural language generation (NLG). We also explore which industries are likely to adopt such NLG techniques and in what ways can NLG help in business intelligence applications in the near future.

You can listen to the full interview with Robbie here:

 

Direct download: AI_in_Industry-Robbie_Allen-Mixdown.mp3
Category:Artificial Intelligence -- posted at: 1:14am PDT

Episode summary: This week’s episode explores the current possibilities in applying natural language processing for legal contract review. We speak with Andrew Antos and Nischal Nadhamuni from Klaritylaw, a Boston-based startup focused on using natural language processing (NLP) based information extraction, from non-disclosure agreements (NDAs), in a live setting.

We delve into the current and future roles of AI and lawyers with respect to legal contracts. AI is currently being applied in applications like retroactive analysis and information identification in legal documents. According to Andrew and Nishchal, in the future we will see on-the-fly legal content creation from AI tools and NLP being applied to most commercial contracting. Although, one restraint that AI companies presently face in the legal domain is the lack of access to huge amounts of publicly available data.

You can listen to the full interview with Andrew and Nischal here:

Direct download: AI_in_Industry-_Klarity_Law-Mixdown.mp3
Category:Artificial Intelligence -- posted at: 12:00am PDT

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