Overview

Part of the Data Ed Week Europe

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) to transform BI and analytics in support of decision making in your business.

AI has had a long, chequered history. Multiple periods of over-optimism have been followed by “AI Winters” since the 1950s. Today, AI has come of age and is being embedded in mainstream technology from cars to call centres, and smartphones to analytic systems. With the IoT instrumenting the physical world and social media doing the same for society, a massive deluge of data is driving extensive uptake of AI. It all suggests that this “AI Summer” is not going to fade.

Under a range of names—deep learning, autonomous vehicles, cognitive computing, robotics, algorithms and more—AI, combined with big data, IoT and automation, offer both the threat and the promise of revolutionising all aspects of IT, business and, indeed, society. What do you need to know about them? How should you prepare for and react to their growing importance in your business and IT environments, especially in their likely transformation of decision-making support?

In this one-day workshop, Dr Barry Devlin builds upon his two-day “Delivering the Digital Business: Starting from BI” course to enable you to take full advantage of emerging AI technology. Starting from familiar computing paradigms such as programming, operational systems, databases, analytics and business intelligence, we explore the relationship between big data and many types of deep learning. We position traditional and emerging BI tools and techniques in the practical application of AI in the business world. 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. Based on new models of decision making at the organisational and personal levels, we examine where to apply augmentation and automation in the roll-out of AI. Finally, we address the ethical, economic and social implications of widespread adoption of artificial intelligence.

 

All public courses are available as in-house training. Contact us for more information.

Learning Objectives

  • What is AI? A brief history and explanation of its evolution, key concepts, and terminology
  • Understanding how IoT and social media enable AI as the new driver of business value
  • A comprehensive architecture and framework spanning from traditional BI to AI and beyond
  • Approaches to applying AI to decision making—augmentation vs. automation
  • Implications of AI, social media, and IoT for the IT department
  • New technology solutions needed to build out business applications of AI and IoT
  • Evolving from today’s BI to future AI-based solutions
  • Ethical, economic, and social considerations for your business and beyond

Course Outline

1. Artificial Intelligence—History and Foundations

  • A brief history of AI
  • Terminology—conflicting and overlapping
  • Artificial neural networks and other techniques
  • Advances and directions in AI

2. Decision Making for Social Media and IoT

  • From traditional BI to operational analytics
  • Centralisation vs distributed processing
  • Model management
  • Positioning AI, Data Lake and Data Warehouse

3. Applying AI to Decision Making

  • AI in information preparation and governance
  • From BI to analytics to AI
  • Operational, tactical and strategic decision-making considerations
  • Automation vs. augmentation

4. Building the Digital Future with AI—Key Considerations

  • Ethical considerations for analytics and AI in business
  • Wider ethical concerns for society
  • The impact of AI on the economy and employment
  • Avoiding societal breakdown

Who It's For

  • Enterprise, systems, solutions and data architects in data warehouse, BI and big data
  • Systems, strategy and business intelligence managers
  • Data warehouse and systems designers and developers
  • Tech-savvy business analysts

Speaker

Dr. Barry Devlin

Founder and Principal

9sight Consulting

Dr. Barry Devlin is among the foremost authorities on business insight and one of the founders of data warehousing, having published the first architectural paper in 1988. With over 30 years of IT experience, including 20 years with IBM as a Distinguished Engineer, he is a widely respected analyst, consultant, lecturer and author of the seminal book, “Data Warehouse—from Architecture to Implementation” and numerous White Papers. His 2013 book, “Business unIntelligence—Insight and Innovation beyond Analytics and Big Data” is available in both hardcopy and e-book formats.  As founder and principal of 9sight Consulting Barry provides strategic consulting and thought-leadership to buyers and vendors of BI solutions. He is continuously developing new architectural models for all aspects of decision-making and action-taking support. Now based in Bristol, Barry’s knowledge and expertise are in demand both locally and internationally.

Data Ed Week 2-day Course: Essentials of Data Warehouses, Lakes and BI in Digital Business – Live Streaming and Face to Face

Data Ed Week 1-day Course: From Analytics to AI: Transforming Decision Making in Digital Business – Live Streaming and Face to Face

Fees

  • 1 day
  • £695
  • LIVE STREAMING - £695 + VAT (£139) = £834
Group Booking Discounts
Delegates
2-3 10% discount
4-5 20% discount
6+ 25% discount

Cancellation Policy:
Cancellations must be received in writing at least two weeks before the commencement of the seminar and will be subject to a 10% administration fee. It is regretted that cancellations received within two weeks of the seminar date will be liable for the full seminar fee. Substitutions can be made at any time.

Cancellation Liability:
In the unlikely event of cancellation of the seminar for any reason, IRM UK’s liability is limited to the return of the registration fee only. It may be necessary, for reasons beyond the control of IRM UK, to change the content, timings, speakers and date of the seminar.

Venue

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