Frequently Asked Questions About PAW Boston
You asked for it, you got it. All the FAQs regarding Predictive Analytics World Boston’s
September 30 – October 4 conference agenda, answered by the founding chair, Eric Siegel.
Frequently Asked Questions About PAW Boston
You asked for it, you got it. All the FAQs regarding Predictive Analytics World Boston’s
September 30 – October 4 conference agenda, answered by the founding chair, Eric Siegel.
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Why should I come to PAW Boston?
PAW is the leading and largest cross-vendor conference covering commercial deployment. There’s nowhere else you’ll find as much content and as many leading experts.
What’s new – what are the hot topics covered at PAW Boston?
PAW’s agenda covers advanced predictive modeling methods, analytical traction, big data, blackbox trading, cloud analytics, customer retention, crowdsourcing, predictive analytics, data visualization, enterprise dynamics, enterprise-wide decisioning, financial services, forecasting, fraud detection, healthcare analytics, HR analytics, insurance, market research, online marketing, open question answering, public sector applications, real estate market scoring, reliability modeling, risk management, segment analysis, social data for financial indicators, social media analytics, targeting marketing, telecom applications, telecommunications, text analytics, uplift (net lift) modeling, workplace behavior modeling, and other innovative applications that benefit organizations in new and creative ways.
Click here to view the agenda at a glance.
PAW is Sept 30 – Oct 4 — is it really five days long?
PAW’s core conference program provides two days of widely diverse sessions on October 1–2. The other days include 7 pre- and post-conference full-day workshops — click here for details.
With PAW’s robust agenda, how do I choose which sessions to attend?
There are a lot of aspects to guide which session to attend: the industry sector, level (expert practitioner or all-audiences), brand name leading company, business application (churn modeling, fraud detection, marketing applications, financial applications, etc.), core analytical method, and data source (social data, textual data, etc.) Industry sector or vertical is only one of many aspects to consider. Many delegates bring along colleagues to divide and conquer — an especially common technique across leading analytics groups. There’s a discount for registering as a group, learn more.
Who goes to PAW?
It’s a healthy mix of expert practitioners and business leaders. Click here for the detailed breakdown of attendees.
How is predictive analytics different from forecasting?
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.
I’m completely new to predictive analytics – where can I learn more?
Check out the Predictive Analytics Guide for articles, training options and resources or register for PAW Boston today.
Read more from the general Predictive Analytics World FAQ:
- Who is Predictive Analytics World for?
- What will I learn at Predictive Analytics World?
- Is this a “data mining”, “data science”, or “big data” conference?
- More questions
Take advantage of Early Bird Pricing if you register by Friday, August 17th.
