Dr. Pramod Singh – Machine learning and AI for business process automation and improvements

AI and ML have been consistent buzzwords in the global IT industry for a number of years, but in 2018, machine learning and artificial intelligence trends show that both will become even bigger market differentiators. Both are working together to improve everyday business processes. Machine learning is improving all types of businesses. Many companies have already begun using AI to automate the decision-making process, making their daily tasks much easier to complete.

The truth is, the idea of using analytics to monitor process execution is nothing new. However, artificial intelligence takes it a notch higher. By using machine learning, AI can easily provide guidance on process tuning and optimization.

Now AI technology is a partner for business process efforts: it can help automate manual, routine business tasks, improve user interfaces and analyse huge amounts of data in short spurts of time. Adding AI to business processes, otherwise known as Intelligent Business Process Management (iBPM) helps businesses further by planning and automating their complex business processes by building a dynamic technology environment based on value-added knowledge work.

This talk will intend to highlight the following areas with the help of some relevant industrial use cases.

  • The historical evolution of ML and AI
  • How AI is revolutionizing – The Next Era Of Business Process

 

Dr. Pramod Singh –  Managing Director at Prama-AI
Dr. Pramod Singh is a senior executive with over 20 years’ experience in the space of advanced analytics and big data. He has in depth experience of developing strategy and delivering end-to-end big data and data science solutions in multinational business environment.

Throughout his consulting and in-house experience with Accenture, Unisys, HP, HCL Technologies, QBE Insurance and IAG, Pramod has developed a strong understanding of the data-driven enterprise of financial services, utilities, manufacturing, resources, telecom, government and health sector. He has experience of delivering machine learning and data analytics solutions using state-of-the-art big data, data visualisation, and advanced analytics tools.

He has a master’s degree in computer and information technology from Indian Institute of Technology (IIT), Kharagpur, and holds a doctorate in machine learning from the University of New South Wales, Australia. He was also associated with the University of Technology, Sydney as a lecturer and researcher for advanced databases and data mining.