Global Artificial Intelligence Conference Boston October 2019

Global Artificial Intelligence Conference Boston October 2019
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Date/Time
Date(s) - 01/10/2019 - 03/10/2019
7:30 am - 9:00 pm

Location
Boston Convention & Exhibition Center

Categories


Global Artificial Intelligence Conference is on October 1st, 2nd and 3rd 2019.

Global Big Data Conference’s vendor agnostic 3rd Annual Global Artificial Intelligence(AI) Conference is held on October 1st, 2nd & October 3rd 2019 on all industry verticals(Finance, Retail/E-Commerce/M-Commerce, Healthcare/Pharma/BioTech, Energy, Education, Insurance, Manufacturing, Telco, Auto, Hi-Tech, Media, Agriculture, Chemical, Government, Transportation etc.. ). It will be the largest vendor agnostic conference in AI space. The Conference allows practitioners to discuss AI through effective use of various techniques.

Large amount of data created by various mobile platforms, social media interactions, e-commerce transactions, and IoT provide an opportunity for businesses to effectively tailor their services by effective use of AI. Proper use of Artificial Intelligence can be a major competitive advantage for any business considering vast amount of  data being generated.

Artificial Intelligence is an emerging field that allows businesses to effectively mine historical data and better understand consumer behavior. This type of approach is critical for any business to successfully launch its products and better serve its existing markets.

Annual Global AI Conference is extended to three days based on feedback from participants. The event will feature many of the AI  thought leaders from the industry. Annual Global AI Conference is an event acclaimed for its highly interactive sessions. This conference provides insights and potential solutions to address AI issues from well known experts and thought leaders through panel sessions and open Q&A sessions. Speakers will showcase successful industry vertical use cases, share development and administration tips, and educate organizations about how best to leverage AI as a key component in their enterprise architecture. It will also be an excellent networking event for Executives( CXO’s, VP, Directors), Managers, developers, architects, administrators, data analysts, data scientists, statisticians and vendors interested in advancing, extending or implementing  AI.

Speakers
Over 100 leading experts in Artificial Intelligence area will present at our conference. Please send an email to [email protected] for speaking engagements.

You Get To Meet
You get to meet technical experts, Senior , VC and C-level executives from leading innovators in the AI space (Executives from startups to  large corporations will be at our conference.)

Who Should Attend:
CEO, EVP/SVP/VP, C-Level, Director, Global Head, Manager, Decision-makers,  Business Executives responsible for AI Intiatives, Heads of Innovation, Heads of Product Development, Analysts, Project managers, Analytics managers, Data Scientist, Statistian, Sales, Marketing, human resources, Engineers, AI & Software Developers, VCs/Investors, AI Consultants and Service Providers, Architects, Networking specialists, Students, Professional Services, Data Analyst, BI Developer/Architect, QA, Performance Engineers, Data Warehouse Professional, Sales, Pre Sales, Technical Marketing, PM, Teaching Staff,  Delivery Manager and other line-of-business executives

What you will learn
You’ll get up to speed on emerging techniques and technologies by analyzing case studies, develop new technical skills through in-depth workshop, share emerging best practices in AI and  future trends.  The depth and breadth of what’s covered at the annual Global AI conference requires multiple tracks/sessions.  You can either follow one track from beginning to end or pick the individual sessions that most interest you.

1. Industry Vertical Use Cases ( Where AI applications are working/not working, What hot Technologies are used to implement AI, How to develop AI applications etc..)
2. Cognitive Computing
3. Chatbot
4. Data Science, Machine Learning & Deep Learning
5. IoT
6. Security
7. NLP
8. Computer Vision
9. Home Assistant
10. Robotics
11. Neural networks
12. Data Mining and Data Analytics
13. Speech Recognition, Image processing, Unsupervised Learning
14. Workshops

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