Cenacle Clinical decision support system uses NLP, AI and ML to help the Doctors make informed decisions about each patient accurately, as well as identify the population level trends in discovering the hidden patterns for personalized medicine.
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Webinar by GK Palem
Title: Industry 4 . 0 – the convergence of emerging technologies
Abstract:
The fourth industrial revolution is set to be a USD 156 billion market by 2024 with a CAGR of 16 . 9% from 2019 to 2024. The convergence of many major technologies from the last few decades, from IIOT to Robotics, statistical data analytics to AI, Big Data to Additive manufacturing, the Industry 4 . 0 is set to emerge as a game-changer for the manufacturing sector in this new decade with use-cases covering from Condition Monitoring and Predictive Maintenance to Smart Factories and Product-As-A-Service disruptive business models. Electronics, Aerospace, Chemicals, Automotive, Supply chain logistics, Packaging, Engineering & Construction all major verticals are undergoing a major digital transformation with horizontal and vertical integration of technology in their business process.
This webinar presents the key technologies, business opportunities and open research challenges that are present in this major industry transformation and illustrates a few key solutions with demos.
Time:
MUMBAI, India
7:00p Sun, Apr 19 2020
8:00p Sun, Apr 19 2020
LONDON, United Kingdom, England
2:30p Sun, Apr 19 2020
3:30p Sun, Apr 19 2020
EDT/EST, Eastern Daylight Time (US)
9:30a Sun, Apr 19 2020
10:30a Sun, Apr 19 2020
PDT/PST, Pacific Daylight Time (US)
6:30a Sun, Apr 19 2020
7:30a Sun, Apr 19 2020
Register: https://bit.ly/3bc0n3R
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Businesses in Retail sector benefit from the Data Analytics by gaining insight into what is driving their sales, and what they can do to improve it further. Understanding the behavior of the customers and meeting their requirement proactively helps in improving the customer-satisfaction, there by improving the sales.
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To be able to successfully deliver varied solutions in a timely manner, we need architectures and frameworks that allow reuse and rapid-development. For majority of our solutions, we use micro-services architecture with backend data controlled through RESTful resources, sockets and flexible data-base plug-ins.
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