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ChatBots – the next generation of messaging apps

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ChatBots – the next generation of messaging apps

Details

******* Enter the Copley Place Mall (right next to the Marriott) and follow signs to the "Offices." The correct escalator is next to Barneys New York, or take the elevator to the Sky Lobby level.
Please bring photo identification and check in at the desk in the lobby, to pick up your name tag. Then, take an elevator to the 7th floor.*******

Agenda:

6:30 - Doors open. Networking. Beer & snacks.

6:45 - Opening remarks.

7:00 - Chatbots with NLP by Slater Victoroff

7:20 - Q&A break

7:30 - Optimizing Business Strategies With NLP and Machine Learning by Michael Frederikse

7:50 - Q&A break

8:00 - Wrap-up

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DETAILED AGENDA:

Speaker: Slater Victoroff

Title: Chatbots with NLP

Abstract: Chatbots are one of the most highly-hyped new consumer technologies being enabled by modern deep learning. However the hype and the reality often do not connect. Many solutions that are pitched as "chatbots" are actually run by human beings behind an API, and many "chatbot" systems are no better than keyword-based routing. Come learn about what is and is not possible when it comes to chatbots. Learn how to approach chatbot systems from a practical perspective and learn enough machine learning to understand how to break down and approach a chatbot system.

Bio: Slater Victoroff is the Founder and CTO of indico data solutions, an Enterprise AI solution for unstructured content with an emphasis on text and NLP. He has been building machine learning solutions for startups, governments, and fortune 100 companies for the past 5 years.
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Speaker: Michael Frederikse

Title: Optimizing Business Strategies With NLP and Machine Learning

Abstract:

The goal of this presentation is to layout strategies and methods to accelerate your business processes. Starting from a friendly introduction into Natural Language Processing (NLP) and the many opaque buzzwords surrounding it, we’ll dive into some of the technical methods and approaches. Equipped with these tools, we will cover several case studies that will help showcase possible implementations to optimize and expand your business and/or reporting practices. Lastly, we will open up for questions about specific solutions that you might be looking to introduce in your own setting.

Bio:

Michael Frederikse is a Software Technologist at Pattern Inc, a boutique consulting firm specializing in machine learning and artificial intelligence solutions. Through consulting, he's had the pleasure to work in a number of different industries including defense/intelligence, political science, international shipping/supply chain, pharmaceuticals/life sciences, and investment finance. Most recently, he has been engaged with Loomis Sayles as a Principal ML Engineer, helping to develop novel AI and ML approaches to complement their investment strategies.

Please register here https://bit.ly/2qo7ReG

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