The premier machine learning conference
Predictive Analytics World London
16-17 October, 2019

Partners

About Predictive Analytics World

Predictive Analytics World London, the leading vendor-neutral machine learning conference, is holding its tenth annual conference this October 16-17 in London at etc.venues I St. Paul’s. Join PAW London to hear top practitioners describe the design, deployment and business impact of their machine learning projects.

  • Background of Predictive Analytics World

    Predictive Analytics World is the premier cross-vendor conference for machine learning and predictive analytics professionals, managers and commercial practitioners. This conference delivers case studies, expertise and resources to achieve:

    Bigger wins: Strengthen the impact of predictive analytics deployment
    Broader capabilities: Establish new opportunities in data science and machine learning
    Big data: Leverage bigger data for prediction and drive bigger value
    The only conference of its kind, Predictive Analytics World delivers vendor-neutral sessions across verticals such as banking, financial services, e-commerce, entertainment, government, healthcare, manufacturing, high technology, insurance, non-profits, publishing, and retail.

    Why bring together such a wide range of endeavors? No matter how you use predictive analytics, the story is the same: Predictively scoring customers, employees, students, voters, patients, equipment, and other organizational elements optimizes performance. Predictive analytics initiatives across industries leverage the same core predictive modeling technology, share similar project overhead and data requirements, and face common process challenges and analytical hurdles.

  • What will I learn at Predictive Analytics World?

    New apps: New ways to apply predictive analytics.
    Do better: How to achieve better results with predictive analytics.
    Companies: What companies are at the leading edge of predictive analytics and what are they doing?
    Solutions: Which are the best predictive analytics solution providers, what do they do and how do they compare?
    Colleagues: Who are my colleagues facing the same challenges as I and how can we work together?
    Resources: What other resources are available?

  • Who is Predictive Analytics World for?

    PAW attendees range across verticals and across enterprise functions.

    No matter what your role in or relationship to predictive analytics projects, you will find value in the sessions, case studies and networking available at Predictive Analytics World.

    Managers. Project leaders, directors, CXOs, vice presidents, investors and decision makers of any kind involved with analytics, direct marketing or online marketing activities.
    Marketers. Personnel running or supporting direct marketing, response modeling, or online marketing who wish to improve response rates and increase campaign ROI for retention, upsell and cross-sell.
    Technology experts. Analysts, data scientists, BI directors, developers, DBAs, data warehousers, web analysts, and consultants who wish to extend their expertise to predictive analytics.

  • Big data and data science

    Predictive analytics is central to the big data and data science movements. The ultimate use of data is to learn from it to predict. Focusing on data or how much of it there is can overlook this point. What is the value, the function, the purpose? The most actionable win from data — to more effectively drive organizational operations — is prediction.

  • Machine learning

    Predictive analytics means the commercial deployment of machine learning (the two terms are often used synonymously). Although the term “machine learning” used to be common only within the walls of research labs, it’s now also used more and more in the context of commercial deployment. Whichever term you prefer, we are discussing technology that learns from data to predict or infer an unknown, including decision trees, logistic regression, neural networks, and many others.

  • Experts and newcomers

    Predictive Analytics World covers all the bases for both expert practitioners as well as newcomers. As the universal, cross-vendor meeting place that brings together the who’s who of predictive analytics, PAW presents not only unique opportunities to gain knowledge, but the industry’s premier networking event.

    If you’re new to predictive analytics, kicking off a new initiative, or exploring new ways to position it at your organization, there’s no better place to get your bearings than Predictive Analytics World. See what other companies are doing, witness vendor demos, participate in discussions with the experts, network with your colleagues and weigh your options!

  • Become an exhibitor/sponsor/partner

    For sponsorship opportunities:
    Europe: Claudia Finlay
    Mobile: +49 172 8267364
    Email: exhibit@risingmedia.com

    Americas and Asia: Paul B. Gillis
    Phone: +1 508 208 8264
    Email: pgillis@risingmedia.com

    For partnership opportunnities:

    marketing@risingmedia.com

  • Valuable colleagues

    Mingle, network and hang out with your best and brightest colleagues. Exchange experiences over lunch, breaks and the conference reception, connecting with those professionals who face the same challenges as you.

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Testimonials

Read what attendees think about Predictive Analytics World

Ben Rollins - Global Advanced Analytics Specialist
Bain & Company
“The PAW business conference is a great way to meet peers within the industry and to see what everybody else is doing to make sure you don’t fall behind.”
Emre Yayıcı - Managing Partner
Analytics Center
„The agenda/ content and operations were both handled very professionally. As a person attending to many conferences (and also as an organizer), I can say that this is rare. Thanks for all!“
Rainish Lalai - Senior Analytics Specialist
Etihad Airways
“An excellent conference with high-quality speakers, the right companies partnered, and overall a very knowledgable experience.”
Silvan Rath - Founder
predict.io
„PAW was a phenomenal event. Packed with actual practitioners. And none of the typical „hurray“ presentations from vendors trying to sell you up. Really enjoyed the vibe.“

WORKSHOPS

you can attend for intensive learning

October 15, 2019
The Best of Predictive Analytics: Core Machine Learning and Data Science Techniques
Dr. John Elder
Hosts:
Dr. John Elder
Date:
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.

October 15, 2019
Introduction to Artificial Intelligence for Marketing
Date:
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)

Conference Chair

Predictive Analytics World London

Predictive Analytics World is London’s leading vendor independent conference for data science practitioners. Now in its tenth year, the conference brings together data science and machine learning practitioners from around the globe, representing a broad spectrum of industries. Some sessions will be technical, some visionary and strategic, and some focusing on operational learnings, but all are presented with the goal of helping attendees become better data scientists, regardless of what software or hardware they use.

Conference covers topics such as

  • Machine learning methods for marketing
  • Explainable AI
  • Maximizing business impact from small analytics teams
  • Deep learning: Generative Adversarial Methods, Reinforcement learning, and more
  • Data science staffing
  • Maximizing the effectiveness of analytics programs
  • Selecting high-potential AI projects
  • Graph-powered machine learning
  • Predictive analytics for sales

The Venue

etc.venues I St. Paul's

Address
etc. venues I St. Paul’s
200 Aldersgate
London EC1A 4HD
United Kingdom

 

Website
https://www.etcvenues.co.uk/venues/stpauls

 

Phone:
+44 (0) 20 3735 7700

Predictive Analytics World London

200 Aldersgate Street, London, UK

etc.venues I St. Paul's

Need more information?

  • What is predictive analytics?

    Predictive analytics optimizes marketing campaigns and website behavior to increase customer responses, conversions and clicks, and to decrease churn. Each customer’s predictive score informs actions to be taken with that customer — business intelligence just doesn’t get more actionable than that.

    Predictive analytics is business intelligence technology that produces a predictive score for each customer or other organizational element. Assigning these predictive scores is the job of a predictive model which has, in turn, been trained over your data, learning from the experience of your organization.

  • Is predictive analytics different from forecasting?

    Predictive Analytics World London often include select sessions on forecasting since it is a closely related area, and, in some cases, predictive analytics is used as a component to build a forecast model.
    However, Predictive analytics is something else entirely, going beyond standard forecasting by producing a predictive score for each customer or other organizational element. In contrast, forecasting provides overall aggregate estimates, such as the total number of purchases next quarter. For example, forecasting might estimate the total number of ice cream cones to be purchased in a certain region, while predictive analytics tells you which individual customers are likely to buy an ice cream cone.

  • Is this a “machine learning” conference?

    Yes. Predictive analytics means the commercial deployment of machine learning (the two terms are often used synonymously). Although the term “machine learning” used to be common only within the walls of research labs, it’s now also used more and more in the context of commercial deployment. Whichever term you prefer, we are discussing technology that learns from data to predict or infer an unknown, including decision trees, logistic regression, neural networks, and many other methods.

  • Is this a “data mining” conference?

    Yes. Data mining is often used synonymously with predictive analytics, and, in any case, predictive analytics is a type of data mining.

  • Is this a “data science” conference?

    Yes. Predictive analytics is a form of data science. Moreover, it is the most actionable form. A predictive model generates a predictive score for each individual, which in turn directly informs decisions for that individual, e.g., whether to contact, extend a retention offer, approve for credit, investigate for fraud, or apply a certain medical treatment. Rather than solely providing insights, predictive analytics directly drives or informs millions of operational decisions.

  • Is this a “big data” conference?

    Yes. Predictive analytics is a key method to truly leverage big data. At the center of the big data revolution is prediction. The whole point of data is to learn from it to predict. What is the value, the function, the purpose? Predictions drive and render more effective the millions of organizational operational decisions taken every day.

  • Is this an AI conference?

    Yes. Artificial intelligence (AI) is a broad, subjective term with many possible definitions—but by any definition, it always includes machine learning (predictive modeling) as an example of AI technology/capabilities.

  • Is Predictive Analytics World run by a software vendor?

    No. Predictive Analytics World provides a balanced view of predictive analytics methods and tools across software vendors and solution providers.

  • Is Predictive Analytics World a research conference?

    No. Predictive Analytics World is focused on today’s commercial deployment of predictive analytics, rather than academic or R&D activities. Separately, there are a number of research-oriented conferences; in predictive analytics’ commercial application, we are essentially standing on the shoulders of those giants known as researchers.

  • Are you considering new speakers for Predictive Analytics World?

    For speaker information and proposal submissions, click here.

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