|02 Jul - 3 July 2018||9:00am - 6:00pm|
|Indonesia Room (2nd Floor, MaGIC) View map|
|Admission RM1590 (before promotional price)|
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The term artificial intelligence (AI) refers to a set of computer science techniques that enable systems to perform tasks normally requiring human intelligence, such as visual perception, speech recognition, decision-making and language translation. Machine learning and deep learning are branches of AI which, based on algorithms and powerful data analysis, enable computers to learn and adapt independently.
Artificial intelligence (AI) is no longer the future. For businesses, it is the here and now, and executive suites and boardrooms around the world see it as such. They might be expected to be wary, given that much is unknown, even among scientists, about how AI capabilities might develop in the coming years. Or that policymakers and regulators have barely begun to study its potential implications for markets and workforces.
Many business leaders certainly expect AI to be disruptive. More than 40% of those surveyed for the study anticipate that AI will start displacing humans from some jobs in their industry within the next five years.An overwhelming majority believe AI will make their job easier and help improve their own performance.
This course provides complete coverage of the key aspects and topics in Artificial Intelligence today, including how all the technologies fit together into a complete solution, the applications of AI such as image and speech recognition, search, clustering, optimization, prediction, and understanding data, and how executives can start on their AI journeys.
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Tarun has 16 years of academic and industry experience as a data scientist over the course of his career. Starting off as an EAI consultant in the USA, Tarun was involved in a number of integration/ETL projects for a variety of Fortune 500 and Global 1000 clients, such as BP Amoco, Praxair, and GE Medical Systems. Having acquired his Master’s degree in Data Warehousing, Data Mining, and Business Intelligence at Loyola University Chicago GSB in 2005, Tarun also worked as a BI consultant for a number of Fortune 500 clients at Revere Consulting, a Chicago based boutique IT firm focusing on Data Warehousing/Mining projects. Within the industry, he worked on ETL/Data Science/Machine Learning projects at Profitera, Experian, Atex, E-Radar, ICarAsia, and Max Money. Tarun continues to work within the BI space, most recently focusing his time on Deep/Reinforcement Learning projects within the Fintech sector. Tarun has worked on parametric statistical modeling as well within the Data Science and Big Data Science space, using tools such as SciPy in Python and R and R/Hadoop for Big Data projects.