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And Deep Learning shines a light on dark data to help achieve predictive insights. Computer Vision provides intelligence in key processes. Conversational AI transforms the business model and improves customer experience.

Machine Learning improves productivity by finding new patterns across multiple datasets. Natural language understanding (NLU) learns and augments human intelligence with clean, normalized data. Integrating AI technologies can take automation to the next level by bringing about human-like responses in RPA workflows, helping bridge the gap between human and machine interactions. Imagine using AI to empower your robots so they can not only perform standard tasks, but can also think and adapt. Rules-based RPA cannot process variable unstructured data, which comprises more than 90% of the data in a typical enterprise - this has left data-intensive industries like banking, insurance and healthcare unfulfilled by RPA. He was named by CIO Magazine as 2018's One-To-Watch award winner. He is also the winner of Technology Association of Georgia's 2017 Excalibur and Product Launch of the Year awards. He is a Six Sigma Black Belt, ITIL Practitioner, and was named Intercontinental Hotel Group CIO's 2016 Carpe Diem award winner. Scot earned an MBA from The Georgia Institute of Technology focused on strategy and analytics. His current focus is on technology organizational strategy, digital workforce technology, and operational excellence through data analytics with the use of cognitive technology.

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He brings more than 20 years of technology industry leadership, managed services, service desk support, network/telecommunications, software development, and data center operations expertise to his role with the company. Scot Whigham is CEO for Function-AI in Atlanta, GA and board member for AI World.

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Using our our propriety AI strategy and value realization framework, we will help answer how to measure an organization's readiness for Customer Engagement AI technology, identify gaps in current process flows, and prioritize your AI roadmap Speaker Profile Thinking about enhancing your engagement with your customers by implementing innovative enterprise AI technology? We will discuss the technology and business landscape for artificial intelligence. Santanu currently serves as the R&D Director for RIB Software USA and is developing innovative technology for the construction industry using AI, ML and VR/AR paradigms.

#Making mr right vh1 stream dailymotion professional

After completing his education in 2012, Santanu joined the professional industry and has served as a Data Scientist for organizations like Capgemini, Accenture helping Fortune 100 organizations with their digital transformation journeys. During his PhD tenure, Santanu published research articles in top conferences / journals such as Sensys, TOSN and Infocom and was granted a patent (AutoWitness) by the US Govt for his groundbreaking research on burglar tracking technology.

After his successful internship at CERN, Santanu joined the PhD program at the University of Memphis and graduated in December, 2012 specializing in Wireless Sensor Networks. Santanu completed his Bachelors in Information Technology from West Bengal, India and joined the LHC project at CERN, Geneva interning through Bhaba Atomic Research Centre of India. Santanu solves complex technology problems to enable new business value chains by managing interdisciplinary groups of talents and technologies.

In this talk we will explore such paradigms and present some cases from the largest industry sector - Construction and Infrastructure. Coupled with digital advancements in storage and processing, AI has the power to create a minimally supervised self-correcting information / business processes within an organization leading to reduction of Uncertainties (Entropy). Although sounds cutting edge, machine learning is the age old technique to model natural world phenomenons using mathematical techniques so that they be simulated virtually. A regressive analysis of the timeline for major technical developments across the globe shows that the basic goal of technology is to enable humans to perform as much as error-free, unsupervised work possible. Often a major hindrance to many forms of work done is the requirement for human supervision. Work done in the constructive ways improves lives.