AI, Data Analytics & Insights Summit Online

April 15-16, 2021 | USA

KEY TOPICS addressed by case studies, interactive presentations, round tables and panel discussions: How AI-powered personalization improves user experience How are we able to achieve Algorithmic Transparency in Artificial Intelligence? How to overcome challenges with AI Building a differentiated Customer Experience using Analytics & AI Consumer centric analytics, experiencing variety of analytics products and enablers – lessons learned and hurdles faced How to cost-effectively and efficiently clean ‘raw’ data Cooperation of Data Scientists with Management and Marketers Predictive Analytics to Drive Business Success

Spotlight

using Apache Spark" was presented to Lansing Big Data and Hadoop User Group by Muk Agaram and Amit Singh on 3/31/2015. It goes over the basics of machine learning and demos a use case of predicting recession using Apache Spark through Logistic Regression, SVM and Random Forest Algorithm...


OTHER PAST CONFERENCES

International Conference on Data Science and Computational Intelligence

December 20-22, 2021 | UK

DSCI aims to identify the challenging problems faced by the development of innovative knowledge and information systems, and to shape future research directions through the publication of high quality, theoretical and applied research outcomes. DSCI is going to highlight the advances in frontiers and applications of general areas such as big data, artificial intelligence, social computing, data mining, information retrieval, and machine learning. DSCI is uniquely placed to deliver fresh perspectives on data science.

Big Data World Congress

March 2-3, 2022 | UK

Big Data World Congress will gather together the professionals and experts in this sector who will talk about the betterment of the current situation of this sector. The professionals will discuss the current situation, innovations in market strategies, infrastructures of Big Data. The professionals will share their ideas and strategies among themselves. The freshers are going to be very benefited by the valuable comments of the experts and the solution provided by them of the common problems. This platform is going to cover vast areas.

Leading with Big Data and Analytics: From Insight to Action

December 13-16, 2021 | USA

Leveraging big data, business analytics and artificial intelligence (AI) to deliver solutions to complex challenges is not solely the responsibility of technology and data science specialists. Rather, it’s the responsibility of organizational leadership to understand and direct these approaches to achieve their business goals. This program is designed to help senior leaders effectively manage and seize opportunities in the new environment of advanced analytics. Participants will gain a working knowledge of data science, which will enable leaders to identify the challenges that analytics, machine learning, and artificial intelligence can solve. It will also help them make the most effective investments in people, data, systems, culture and organizational structure. Led by world-class Kellogg faculty and former C-Suite practitioners experienced in working with senior executives and organizations who have successfully scaled analytics in their organizations, this cutting-edge program delivers sophisticated material in an accessible, easy-to-understand format that is immediately applicable to real-world practice.

2022 Data Analytics Summit

March 30, 2022 | USA

The Data Analytics Summit brings together hundreds of professionals to engage in topics related to data analytics. Attendees represent the Commonwealth of Pennsylvania, as well as representatives from federal and local governments. Attendees also represent private and non-profit organizations. Attendee demographics are a mix between practitioners, front-line staff, and executive management.

Spotlight

using Apache Spark" was presented to Lansing Big Data and Hadoop User Group by Muk Agaram and Amit Singh on 3/31/2015. It goes over the basics of machine learning and demos a use case of predicting recession using Apache Spark through Logistic Regression, SVM and Random Forest Algorithm...

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