Anand Deshpande - Artificial Intelligence for Big Data

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Anand Deshpande is the Director of big data delivery at Datametica Solutions. He is responsible for partnering with clients on their data strategies and helps them become data-driven. He has extensive experience with big data ecosystem technologies. He has developed a special interest in data science, cognitive intelligence, and an algorithmic approach to data management and analytics. He is a regular speaker on data science and big data at various events.

Manish Kumar is a Senior Technical Architect at Datametica Solutions. He has more than 11 years of industry experience in data management as a data, solutions, and product architect. He has extensive experience in building effective ETL pipelines, implementing security over Hadoop, implementing real-time data analytics solutions, and providing innovative and best possible solutions to data science problems. He is a regular speaker on big data and data science.

Albenzo Coletta is a senior software and system engineer in robotics, defense, avionics, and telecoms. He has a master's in computational robotics. He was an industrial researcher in AI, a designer for a robotic communications system for COMAU, and a business analyst. He designed a neuro-fuzzy system for financial problems (with Sannio University) and also designed a recommender system for a few key Italian editorial groups. He was also a consultant at UCID (Ministry of Economics and Finance). He developed a mobile human robotic interaction system.

Giancarlo Zaccone has more than 10 years, experience in managing research projects in scientific and industrial areas. He has worked as a researcher at the CNR, the National Research Council, in projects on parallel numerical computing, and in scientific visualization.

He is a senior software engineer at a consulting company, developing and testing software systems for space and defense applications. He holds a master's in physics from University of Naples Federico II and a 2nd-level PG master's in scientific computing from La Sapienza of Rome.

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We are at an interesting juncture in the evolution of the digital age, where there is an enormous amount of computing power and data in the hands of everyone. There has been an exponential growth in the amount of data we now have in digital form. While being associated with data-related technologies for more than 6 years, we have seen a rapid shift towards enterprises that are willing to leverage data assets initially for insights and eventually for advanced analytics. What sounded like hype initially has become a reality in a very short period of time. Most companies have realized that data is the most important asset needed to stay relevant. As practitioners in the big data analytics industry, we have seen this shift very closely by working with many clients of various sizes, across regions and functional domains. There is a common theme evolving toward open distributed open source computing to store data assets and perform advanced analytics to predict future trends and risks for businesses.