Trending
Analytics Platfrom
for Operationalising Machine Learing
Wednesday, June 17, 2020 | 11:00 CET

Overview

Data science is shaping modern businesses into data-driven organisations, with data at the epicenter of boosted profits, saved costs, and industry disruption. Handling and managing Big Data has emerged as a key modern competitive advantage. Hence, having and maintaining a proper analytics platform is crucial for the development and growth of an organisation. But managing and analyzing all that data comes at a cost. Advanced analytics and machine learning projects only show benefits when put into production operation.

Modern Organisations are looking to build a platform that can facilitate operationalising advanced analytics, including machine learning, and build deeper predictive analytics into their products & services.

Join us for a discussion where industry speakers from Philips, Micro Focus & Tech Mahindra will present the intricacies of establishing an analytics platform that can build a culture of advanced big data analytics that help successfully operationalise machine learning:

  • How to identify the right fit analytics platforms to support ML
  • How to systematically productize machine learning & deploy analytical insights
  • The skills and resources needed for successfully setting up an analytics
  • The maintainability and scalability challenges
  • Recommendations for data and analytics leaders
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Our Speakers

Chandu Rachakonda
Organization : Tech Mahindra
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Chandu Rachakonda

Organization : Tech Mahindra

Chandu has over 20 years of experience and has been with Tech Mahindra since last 18+ years. He has been part of the Core team of TechMahindra’s BI , Big Data & Analytics team ever since the practice started. He played multiple roles at several client locations during his tenure and has been responsible for Solution, Consulting, Strategy and Delivery of BI & Big Data Programs while at North America. He incubated the Big Data Practice at TechMahindra and has been instrumental in building a strong team and multiple service offerings viz. Consulting , Architecting, Implementation and Support of Big Data Programs to various customers across the globe.

He has rich experience in various aspects of Program / Delivery management and managed services model and managed large teams in onsite / offshore model.

Dr. Mauro Barbieri
Organization : Philips
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Dr. Mauro Barbieri

Organization : Philips

Dr. Mauro Barbieri received a M.Sc. degree in Informatics Engineering from the University of Bologna, Italy, in 2000 and a Ph.D. degree in Mathematics and Computer Science from the Eindhoven University of Technology, The Netherlands, in 2007. In 2001 he joined Philips Research in The Netherlands where he has been working on innovative Philips products and services in various domains, including video retrieval, recommender systems, applications of data analytics and machine learning. He is currently Lead Architect Analytics at Philips leading the activities on big data analytics for smart maintenance of medical devices. He has more than 30 publications in international conferences and scientific journals and he is a co-inventor of more than 25 US patents.

Paige Roberts
Organization: Vertica
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Paige Roberts

Organization: Vertica

In 23 years in the data management industry, I’ve worked as an engineer, a trainer, a support technician, a technical writer, a marketer, a product manager, and a consultant. I’ve built data engineering pipelines and architectures, documented and tested open source analytics implementations, spun up Hadoop clusters, picked the brains of stars in data analytics and engineering, worked with a lot of different industries, and questioned a lot of assumptions.

Now, I promote understanding of Vertica, distributed data processing, open source, high scale data engineering, and how the analytics revolution is changing the world.

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