Vinanth. B an IT specialist from Teknoturf India stepped into world of IT since year 2005. He started his career as an application support for AOL (America Online) and moved as a practice lead in Nanoheal INC heading & managing RIM product (Remote infrastructure management) for global customers like DELL , Bell Canada, etc. He is been specialized in creating scripted auto healing mechanics for recurring problems and designing models for auto healing. Passion towards data driven decisions drove him to explore trending world of cloud computing and Data analytics, wherein worked as consultant providing solutions to customer across middle east, and ASEAN region. His area of expertise is mainly focusing on migration and deploying application and integration across different cloud solutions and data sources. He has authored for IBM –ICE on cloud computing, social media analytics and so on. Working closely as IBM partner, he is also an expert of IBM Cloud & IBM’s Watson which is an artificial intelligent tool and various other tools. Currently being a Senior Consultant and Business Development ASEAN, his primary focus is on data analytics, cloud computing and AI.
SESSIONS
PLENARY
Data to Data Science on Cloud
Wednesday, November 27 | 11.00am – 11.30am
Auditorium 2
How cloud computing solutions aid the process of data management, processing and analysis. As there are a lot of unstructured data which requires specialized data modeling techniques, tools, and systems to extract insights and information as needed by organizations. On this data we apply scientific approach that applies mathematical and statistical ideas and computer tools for processing big data. Data science is a specialized field that combines multiple areas such as statistics, mathematics, intelligent data capture techniques, data cleansing, mining and programming to prepare and align big data for intelligent analysis to extract insights and information. Cloud is the optimal solution which aids in terms of processing , storing and computing these data and how it can bring in benefits to the data scientist and as well the users.
