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Predictive Analytics World London, the leading vendor-neutral machine learning conference, held its tenth annual conference on October 16-17, 2019 in London at etc.venues St. Paul’s. For 2020 join PAW in Munich, 11-12 May, for Industry 4.0, Healthcare and Deep Learning applications or in Berlin in November to hear top practitioners describe the design, deployment and business impact of their machine learning projects.
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.
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?
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.
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.
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.
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!
For sponsorship opportunities:
Europe: Claudia Finlay
Mobile: +49 172 8267364
Americas and Asia: Paul B. Gillis
Phone: +1 508 208 8264
For partnership opportunnities:
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 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
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London EC1A 4HD
+44 (0) 20 3735 7700
200 Aldersgate Street, London, UK
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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.
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.
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.
Yes. Data mining is often used synonymously with predictive analytics, and, in any case, predictive analytics is a type of data mining.
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.
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.
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.
No. Predictive Analytics World provides a balanced view of predictive analytics methods and tools across software vendors and solution providers.
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.
For speaker information and proposal submissions, click here.