Agenda
London | 16-17 October, 2019

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Wednesday, October 16, 2019

Wednesday

Wed

8:00 am

Wednesday, October 16, 2019 8:00 am

Registration

Wednesday

Wed

9:00 am

Wednesday

Wed

9:15 am

Wednesday

Wed

10:00 am

Wednesday, October 16, 2019 10:00 am

Topic Coming Soon

Wednesday

Wed

10:30 am

Wednesday, October 16, 2019 10:30 am

Coffee Break

Wednesday

Wed

11:40 am

Wednesday, October 16, 2019 11:40 am

Session Change

Wednesday

Wed

12:25 pm

Wednesday, October 16, 2019 12:25 pm

Topic Coming Soon

Wednesday

Wed

12:35 pm

Wednesday, October 16, 2019 12:35 pm

Lunch Break

Wednesday

Wed

2:40 pm

Wednesday, October 16, 2019 2:40 pm

Session Change

Wednesday

Wed

3:30 pm

Wednesday, October 16, 2019 3:30 pm

Coffee Break

Wednesday

Wed

4:40 pm

Wednesday, October 16, 2019 4:40 pm

Session Change

Wednesday

Wed

5:45 pm

Wednesday, October 16, 2019 5:45 pm

Networking Reception in the Exhibit Hall

Speaker: Come Join Us!

Wednesday

Wed

7:00 pm

Wednesday, October 16, 2019 7:00 pm

End of First Conference Day

Wednesday

Wed

7:30 pm

Wednesday, October 16, 2019 7:30 pm

Dinner with Strangers

Thursday, October 17, 2019

Thursday

Thu

8:30 am

Thursday, October 17, 2019 8:30 am

Registration

Thursday

Thu

10:30 am

Thursday, October 17, 2019 10:30 am

Coffee Break

Thursday

Thu

11:40 am

Thursday, October 17, 2019 11:40 am

Session Change

Thursday

Thu

11:45 am

Thursday, October 17, 2019 11:45 am

Roundtable Discussion

Thursday

Thu

12:30 pm

Thursday, October 17, 2019 12:30 pm

Lunch Break

Thursday

Thu

2:40 pm

Thursday, October 17, 2019 2:40 pm

Session Change

Thursday, October 17, 2019 2:45 pm

AutoAutoML – An Open Source ...

Speaker: Adam Blum, CEO, Auger.AI

Thursday

Thu

3:30 pm

Thursday, October 17, 2019 3:30 pm

Coffee Break

Thursday

Thu

4:40 pm

Thursday, October 17, 2019 4:40 pm

Session Change

Thursday

Thu

5:30 pm

Thursday, October 17, 2019 5:30 pm

Wrap

Speaker: Dr. David Stephenson, Author and Founder, DSI Analytics

Thursday

Thu

5:45 pm

Thursday, October 17, 2019 5:45 pm

End of Predictive Analytics World London 2019

Workshops

Tuesday, October 15, 2019
Introduction to Artificial Intelligence for Marketing
Date:
Tuesday, October 15, 2019
Time:
9:00 am - 5:00 pm
Price:
£ 600
Introduction to Artificial Intelligence for Marketing

From market research to direct mail metrics to web analytics to Big Data, the job of “marketing” has changed dramatically over time. We have arrived at a fundamental shift in marketing that is as impactful as the advent of the Internet: Artificial Intelligence and Machine Learning.

This workshop introduces marketing professionals of all ranks to the theory, the language and the practical application of these disruptive technologies.

This workshop will not teach you how to be a data scientist.

It will teach you enough about the language and implications to speak cogently with your colleagues, and determine where to apply this innovative technology first. You will also get a firm grasp on how these new tools will change your job and what you can do to remain relevant in tomorrow’s marketing department.

Key Takeaways

  • How Machine Learning Works for Marketing
  • What Machine Learning Cannot do for Marketing
  • How to Onboard AI and ML into Your Organization

This workshop is for marketing professionals who are comfortable consuming analytics outputs, but must now face a new, educational learning curve.

This workshop is for data scientists to help them understand the problem the marketing department is trying to solve and the available data sets.

This workshop is for marketing managers who must respond to the C-level insistence that the marketing department “get with the times” (management by in-flight magazine).

This workshop is for those who need to survive in these changing times even though they are not data scientists, algorithm magicians, or predictive analytics statisticians.

Each participant will receive a copy of Jim’s twelfth book:

 

 

 

 

 

 

 

 

 

Instructor

Jim Sterne, Founder, Marketing Analytics Summit

Jim Sterne has been in data processing since 1979, an online marketing consultant since 1993, and an online marketing analytics consultant since 2000. Sterne focuses on proving the value of digital communication as a medium for creating and strengthening customer relationships. He is the founding president of the Digital Analytics Association and producer of the eMetrics Summits. Sterne was named one of the 50 most influential people in digital marketing by the United Kingdom’s premier interactive marketing magazine and one of the top 25 Hot Speakers by the National Speakers Association, to which he credits his degree in Shakespeare. He has consulted to some of the world’s largest companies; lectured at MIT, Stanford, USC, Harvard, and Oxford; and sat on a plane to Las Vegas grading the CRM strategy plans of a Nigerian mobile phone company for a course he taught in Singapore produced by a training company in Shanghai. Sterne is the author of 15 books on online marketing and analytics including his latest, “Artificial Intelligence for Marketing: Practical Applications” (Wiley, August, 2017)

Tuesday, October 15, 2019
The Best of Predictive Analytics: Core Machine Learning and Data Science Techniques
Dr. John Elder
Hosts:
Dr. John Elder
Date:
Tuesday, October 15, 2019
Time:
9:00 am - 5:00 pm
Price:
£ 600
The Best of Predictive Analytics: Core Machine Learning and Data Science Techniques

Intended Audience: Interested in the fundamentals of modern machine learning techniques.

Knowledge Level: For this introductory-level workshop, it is helpful for attendees to already be familiar with the basics of probability and coding.

 

 

 

Workshop Description

This one-day session surveys standard and advanced methods for predictive modeling (aka machine learning).

Predictive analytics has proven capable of generating enormous returns across industries – but, with so many machine learning modeling methods, there are some tough questions that need answering:

  • How do you pick the right one to deliver the greatest impact for your business, as applied over your data?
  • What are the best practices along the way?
  • How do you make it sure it works on new data?

In this workshop, renowned practitioner and hugely popular instructor Dr. John Elder will describe the key inner workings of leading machine learning algorithms, demonstrate their performance with business case studies, compare their merits, and show you how to select the method and tool best suited to each predictive analytics project.

Attendees will leave with an understanding of the most popular algorithms, including classical regression, decision trees, nearest neighbors, and neural networks, as well as breakthrough ensemble methods such as bagging, boosting, and random forests.

This workshop will also cover useful ways to visualize, select, reduce, and engineer features – such as principal components and projection pursuit. Most importantly, Dr. Elder reveals how the essential resampling techniques of cross-validation and bootstrapping make your models robust and reliable.

Throughout the workshop day, Dr. Elder will share his (often humorous) stories from real-world applications, highlighting mistakes to avoid.

If you’d like to become a practitioner of predictive analytics – or if you already are and would like to hone your knowledge across methods and best practices – this workshop is for you.

 

What you will learn:

  • The tremendous value of learning from data
  • How to create valuable predictive models with machine learning for your business
  • Best Practices, with real-world stories of what happens when things go wrong

 

Why Attend?

View Dr. Elder describing his course, “The Best of Predictive Analytics,” in this brief video:

 

Schedule

  • Workshop starts at 9:00am
  • Morning Coffee Break at 10:30am – 11:00am
  • Lunch provided at 12:30pm – 1:15pm
  • Afternoon Coffee Break at 3:00pm – 3:30pm
  • End of the Workshop: 5:00pm

Coffee breaks and lunch are included.

 

Instructor

Dr. John Elder, Founder and Chair, Elder Research

John Elder leads America’s most experienced Data Science consultancy. Founded in 1995, Elder Research has offices in Virginia, Washington DC, Maryland, and North Carolina. Dr. Elder co-authored books on data miningensembles, and text mining — two of which won book-of-the-year awards. John was a discoverer of ensemble methods, chairs international conferences, and is a popular keynote speaker. Dr. Elder is an (occasional) Adjunct Professor of Engineering at UVA, and was named by President Bush to serve 5 years on a panel to guide technology for national security.