My career spans fifty years, during that timeframe I worked on early ground breaking computer pattern recognition technologies that were applied to the emerging data acquisition and software technologies to solve healthcare, medical laboratory instrumentation, optical image analysis for manufacturing and control, and statistical trend tracking applications. My work included developing and applying sensors, software, mechanical and optical techniques, to solve a wide array of problems. Later in my career, while working in government, I drove development of search engine technologies and language translation techniques for character and audio recognition. I participated in a number of cutting edge industries from networking, voice and data communications, high performance computing, and in working with companies to solve large scale problems with data management. As a management consultant for the last fifteen years of my career, I provide clients with guidance and direction for using techniques to develop and manage product development. My most recent activity was to facilitate the board exploring strategies for selling intellectual property, including business practices, licensing, use of Artificial Intelligence for determining market potential and intellectual property sourcing, open innovation, and collaboration across several industries to expand business into new markets.

I am the CEO of a company that provides deep consumer analytics based on video analysis of surveillance cameras (https://youtu.be/Me1MtarA2pc) for retail, airports, banks and cities. With our software, companies improve their security, customer profiling and space management, without jeopardizing people's privacy. In this board I can give valuable insight on how artificial intelligence is being used to improve companies-customers relationship and in-store experiences.

With a machine learning PhD and 6+ year of industry experience, I have an extensive knowledge and experience in the realm of extracting insights from structured and unstructured data. Machine learning and more specifically deep learning (DL), demonstrated great success in similar settings, namely determining a user's satisfaction level or product-wise focus given her digital traces. I believe that if indeed a sufficient amount of user's interaction data can be collected ,DL should be the tool of choice. With my background I would be easily able to find information about current research in this topic, available solutions and useful open sources projects. I would also be able to provide a deeper, technical assessment of the feasibility and challenges in implementing an in-house solution given the available data.

Currently an Industry expert with AI and machine learning using videos and audio technologies. Also have done similar projects for many clients in the AI space for the consumer and behavior prediction and analytics. Some of the use case experience are in Retail, Telecom, Healthcare and finance. Have deep understanding of the multi modal approach for the analysis and assessment of the consumer insights using tools and processes. Have knowledge of the modal approach on how human behavior will change using equipment's and sensors and how fields like IOT and Robotics will influence the AI for tomorrow's world. Consumer interaction is increasingly automated with technologies like Process automation. Overall 19 plus years experience in this relevant field , also i have participated in similar advisory board in this esteemed portal. So i feel i am suitable for this discussion

I have been working with machine learning in media for around 4 years and on travel for around 2.5 years. I generally deal with predicting user behavior, sentiment trends etc with different machine learning models and have a lot of experience in understanding the impact of AI as well as big data to build scalable intelligent solutions to do the same. I would be able to provide valuable input with regards to AI trends, deep learning, big data solutions and machine learning frameworks.