Analytics projects are multiplying across organizations as functions such as marketing, sales, finance, and IT seek to make effective use of data to drive decisions. Cloud-based platforms, smart automation, and artificial intelligence (AI) practices and technologies such as machine learning and natural language processing (NLP) are opening up new ways for organizations to scale up to big data heights and reduce costs and delays in preparing and processing data for analytics.
Amidst all the change, it can be a daunting challenge to future-proof data and analytics strategies. How do you get the most out of new technologies and practices? What are the key issues going forward for meeting business decision-makers’ needs and increasing their trust and confidence in analytics? This panel session will discuss and debate these and related issues to help organizations improve strategy development.