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.
Get started
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!
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.
Predictive Analytics World — the facts:
0
Years
0
Locations
0
Total Events
0
Speakers
0
Sessions
0
Companies
Impressions from PAW London
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.“
John Elder chairs America’s most experienced Data Science consultancy. Founded in 1995, Elder Research has offices in Virginia, Maryland, North Carolina, Washington DC, and London. Dr. Elder co-authored 3 award-winning books on analytics, was a discoverer of ensemble methods, chairs international conferences, and is a popular keynote speaker. John is occasionally an Adjunct Professor of Systems Engineering at the University of Virginia.
Following her Electrical Engineering and Management studies at the University of Pennsylvania, Didem started her career with management consulting at CapGemini in Boston, MA. She then contributed to the growth of mobile industry in EMEA during her eight years with Motorola. After graduating from Columbia Business School (CBS) in 2005, Didem continued her career at Greenwich Consulting (now part of EY) and British Telecom in London, UK.
Her passion for convergence of online, mobile, and digital media led her to join Microsoft’s Information & Content Experiences Group where she and her team signed c. 1,500 partnerships with leading media companies across 60 markets. She held other business development and partner management roles as part of Microsoft Accelerators and the Business AI teams. In her current role, Didem is focusing on scaling Microsoft’s Enterprise AI solutions such as Dynamics365 AI for Customer Service.
Didem has 20+ years of multinational leadership experience in business development, management consulting, and product management in executing international roll outs, implementing new market entries, and building new revenue streams from disruptive technologies in EMEA, APAC, and LatAm.
Michelle joined Elsevier in 2014 and is the SVP of Data Science. The Data Science team is focused on the content production pipelines that enable Elsevier to turn content into answers. Specifically, they combine natural language processing (NLP) and machine learning (ML) methods with domain expertise in order to enrich content into data structures, that drive the analytics that Elsevier’s products require with the quality that Elsevier’s customers expect. Michelle’s career as a computational linguist has focused on the implementation of NLP and ML methods to improve computational analysis and understanding of large amounts of data. As a research and industry leader, she focuses on defining big data solutions for language processing applicable and scalable for real world applications.
After an early start in mechanical engineering, Yann has been working on Data Science, AI and Data Engineering at scale since 2003. He has applied these skills in various industrial contexts, in several social media startups, in advertising giants like Yahoo, and digital content creators and distributors like Netflix. More recently a Autodesk, he enabled a shift to data and digital at the core of the business by designing a new data platform and engineering model to serve the needs of creators and makers. He now brings his experience of data strategy to DeliveryHero, helping supercharge the delivery giant’s product and business expansion.
Egge holds a BA in Philosophy and a PhD in Elementary Particle Physics (i.e. tiny tiny particles). He searched for (and found…) the Higgs particle at the Large Hadron Collider of CERN, in Geneva. After his PhD at CERN he trained to be a Medical Physicist and was a Big Data consultant at KPMG before taking on the newly created function of Clinical Data Scientist at the Erasmus Medical Centre in Rotterdam. In addition he advices many organisations about Big Data, teaches courses on it at various academic institutions and is an experienced public speaker on the subject of Big Data. He coordinates executive education programs at TIAS Business School (www.tias.edu) and at the Jheronimus Academy of Data Science (www.jads.nl).
Phil Winters is known internationally as The Father of Customer Intelligence. An independent business advisor, author, keynote lecturer and workshop leader with 35+ years’ experience working with some 300 companies, he focuses on Customer Intelligence and championing the customer perspective to help organizations raise customer value through outstanding customer experience.
Joost graduated in both Nuclear Technology and Innovation Management, with distinction, at the Delft University of Technology. In both programs he focussed on developing and implementing innovative technology in healthcare. Joost has a role as Data Scientist, as well as Product Owner at Pacmed. This combination makes that he not only builds decision support algorithms, but also shapes the necessary boundary conditions to implement these algorithms in a way that is responsible, scalable and of clinical value.
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 mining, ensembles, 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.
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)
User research methods for Conversion Optimisation, SEO and SEA with Karl Gilis
Get a proven and hands-on framework to get top-notch user insights. And how to use these insights to create better ads, landing pages and websites. A full-day, intensive training course led by world renowned UX and CRO expert Karl Gilis. He works for clients such as Yoast, Carglass and Suzuki.
It’s time to broaden your horizon and to understand what makes users click
The methods we’ll cover in this training will help you to answer questions such as:
Why do people buy from you?
Why don’t they buy from you?
What are their fears and barriers?
What is their explicit and implicit motivation?
What are their decision criteria?
What are their emotions?
These insights will help you to become better at your job
Create and optimize landing pages and websites that will turn visitors into happy clients.
Create pages that will rank high in Google because the content reflects the user needs and answers their questions.
Write titles, descriptions and ads that trigger users to click. Because they recognize themselves in your copy.
In this full day masterclass you will learn how to:
Use user research tools and techniques to uncover the motivation and needs of your audience.
Find usability and UX problems on any landing page or website.
Implement a proven, repeatable process that will result in more revenue per visitor.
Extract the highest value insights from surveys, heat maps, user recordings, form analytics, user testing, click testing and much more.
Apply Karl’s 18 years of UX and usability processes, tools and tricks to your site right away.
Why should I follow this masterclass?
You’re a business owner, webmaster, designer, marketer, … who believes that online marketing shouldn’t be based on gut feeling and opinions. But you’re not sure how to gather those facts.
You’re an SEO or PPC specialist that realizes that the more you know about your target audience, the better your SEO and ad copy will be. But you’re not sure how to do that.
You want more visitors to become clients. You’ve got people clicking on your ads and all those first page rankings in Google, but most of them don’t become clients. And you want to change that.
You have the ambition to grow your business or those of your clients and you understand Rome wasn’t built in a day. So you’re looking for a strategy and repeatable process to improve any website or landing page step-by-step.
You know that customer-centricity, usability & conversion optimization are crucial to survive online. But you’re overwhelmed with all the information you can find online. So you’re looking for a hands-on training that’s built around the idea that the proof of the pudding is in the eating.
What You’ll Walk Away With
The right mindset to be really (and I mean really-really) customer-centric. From now on you’ll be able to sell how people want to buy.
A proven process and methodology that allows you to identify the weak spots of any website or landing page.
An in-depth knowledge of how to get useful insights out of the most important (and affordable) user research tools and methods available. Without spending ages staring at boring graphs and numbers.
An incredible amount of tips, tricks and guidelines to convert your visitors into customers.
Yes, believe me: it’s incredible.
See what I did there?
The knowledge & confidence to improve your website, landing pages, ads and online marketing..
Part 1: The user research process (find out what your visitors want)
During the first part I’ll share how I use user research tools and techniques to uncover the motivations, frustrations and dreams of your audience.
Targeted surveys: which questions to ask when? Trust me: this method is gold.
Scroll and click heatmaps: what you can learn from them.
User session recordings how to process them and what patterns to look for?
Form analysis: how to improve your forms with form analysis.
User testing: the best method to discover the why.
Part 2: Tips & tricks for category and product pages
In this part Karl shares the best UX tips & tricks he discovered the past 18 years. So you can use them on your site and landing pages to turn those visitors into customers.
And yes, as a SEO or PPC specialist you need to know this stuff too. Because your job doesn’t end when the user clicks on an ad or a result in Google.
Don’t hesitate to pick Karl’s brain during the masterclass as well. He loves questions.
Why Karl?
According to PPC Hero, Karl is the 3rd most influential Conversion Rate Optimizer worldwide. He’s also the G in AGConsult (http://www.agconsult.com/en), a Belgium-based usability and conversion optimization company. He’s been optimizing websites since 2001. Always based on user research & facts.
Karl is a top rated international speaker. He was voted best speaker at AdWorld Experience in Bologna, Conversion Jam in Stockholm, Growth Marketing Summit in Frankurt and many other conferences all over the world.
He teaches at several universities in Belgium. And has trained people from companies such as TUI, Thomas Cook, BMW and Atlas Copco.
He works for brands such as Yoast, Suzuki, Carglass, SKF and Toyota Material Handling.
He’s also known as the ‘UX comedian’, but he has promised to be dead serious during this course. Not.
Half day Workshop: Defining an effective email marketing strategy with Jenna Tiffany
An email marketing strategy is essential in not only driving success with your campaigns but also in providing revenue to your business. Yet it remains one of the critical challenges email marketers face. In this workshop, Jenna will provide you with an easy to digest strategy format that you will help you to evaluate your current email approach and create a successful email strategy specific to your business and subscribers.
You’ll consider:
Strategy – what is it and how you should & can be using it
How to define objectives for your email activity
Examples of successful email strategies
You’ll apply the techniques to:
Assess the internal and external factors that may be hindering your email performance
The formula for creating an email marketing strategy
Where to start when planning your next email campaign
Learn how to segment, target and position your next email campaign effectively
You’ll also look at:
Good and bad examples, methods and approaches to strategy
Establish KPIs
An email strategy blueprint you can take back to the office
Following this workshop, you’ll walk away with the knowledge on the key elements to include in an email strategy and be able to apply this specifically to your organisation.
Half day Workshop: HTML Typography in Email (Advanced) with Paul Airy
HTML typography is essential for delivering a great email experience, and in this workshop, you’ll work through a number of techniques that will equip you to deliver just that to your subscribers.
You’ll consider:
Accessibility
Mobile, Tablet and Desktop Devices
Email and Webmail Clients – Microsoft Outlook to iOS Mail
You’ll apply the techniques to:
Headlines and Subheadings
Paragraphs
Lists
Buttons and Links
You’ll also look at:
Web Fonts
Typographic Units
Managing Widows
Finally, you’ll have a look under the hood at Type E:, Paul’s email newsletter devoted to typography in email, and the accessibility switcher that made its first appearance in Type E: 04. The Accessibility Issue.
Dr. David Stephenson is an independent consultant in the field of data science and big data analytics and author of the forthcoming Pearson publication, “Big Data Demystified: How to make better business decisions”. He has led global analytics programs for companies such as eBay, Axel Springer and Coolblue (a skyrocketing ecommerce player in the Netherlands) and has worked extensively in insurance, capital markets, and financial risk management. He has also served as an expert advisor to top-tier investment, private equity and management consulting firms.
David completed his Ph.D. at Cornell University and was subsequently Professor at the University of Pennsylvania, teaching applied analytics to graduate students in the engineering and Wharton business schools.
David is currently based in Amsterdam.
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
Predictive Analytics World is part of
Go deep! Unleash the full power of data for marketing by cross-registering for Digital Growth Unleashed, Marketing Analytics Summit, Predictive Analytics World and Email Innovations Summit and save with the Data Driven Business Combo Pass.
Whether you’re an optimization or analytics pro, a marketer, a web designer or a business owner, you can learn, grow and profit from the secrets of the highest converting websites in the world by attending Conversion Conference. Don't waste your marketing budget - discover how to optimize its effect.
Achieve digital marketing efficiency & effectiveness. At Marketing Analytics Summit marketing analytics practitioners, experts and visionaries discuss capturing and applying insights from data. Understand where your customers are coming from, what they are doing and how you can facilitate their goals.
Jump ahead of the pack at the most anticipated conference in the Email Marketing Industry. Developed in conjunction the membership of Only Influencers, email marketing’s most trusted and oldest community, the Email Innovations Summit is the conference that Email Marketers have been asking for.
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.
Ready to attend?
Register now for Predictive Analytics World London
