Barry discusses the journey from BI to AI along the road of the Internet of Things (IoT) after diving into the Data Lake to see what’s growing there.
Diving into the Data Lake
Data Lakes are among the hottest topics of the big data / business intelligence landscape today. The 2016 big data survey by 9sight and EMA found an adoption rate of over 66% among respondents. Strangely, the definition of what actually constitutes a data lake still remains vague and unsatisfactory despite its first introduction as far back as 2010.
In this session, Dr Barry Devlin, originator of the first data warehouse architecture in the mid-1980s, explores the reality of data lakes from the perspective of architecture, implementation and technology to provide a practical view of what can and should be done about them.
From BI to AI via IoT
With the enormous growth of big data, especially from Internet of Things (IoT) devices, now is the time to start planning for and building skills and infrastructure in artificial intelligence (AI) and IoT to take advantage of new technologies in support of decision making in your business.
Under a range of names—deep learning, autonomous vehicles, cognitive computing, robotics, algorithms and more—AI and IoT together offer both the threat and the promise of revolutionising all aspects of IT, business and, indeed, society. In this session, Dr Barry Devlin provides a foundation for understanding the impact AI and IoT data, and plan its roll-out as augmentation and/or automation of BI and decision making. Extrapolating from the rapid growth of AI and IoT in the consumer world, we see where and how it will drive business and likely impact IT. He also discusses the ethical and economic implications of widespread adoption of these technologies.