Predictive Analytics World San Francisco – Early Bird ends Soon

[unable to retrieve full-text content]Predictive Analytics World for Business is heading to San Francisco this Spring. The deadline to save with Super Early Bird rates is around the corner, but act today and save an additional $150 using discount code KDN150.
Original Post: Predictive Analytics World San Francisco – Early Bird ends Soon

Big Data and the Internet of Things don’t make business smarter, Analytics and Data Science do

[unable to retrieve full-text content]Big Data does not convert data into actionable information. Big Data does not create value. But Data Science does, and it does not have to be complex or expensive, or even big.
Original Post: Big Data and the Internet of Things don’t make business smarter, Analytics and Data Science do

Sound Data Science: Avoiding the Most Pernicious Prediction Pitfall

In this excerpt from the updated edition of Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die, Revised and Updated Edition, I show that, although data science and predictive analytics’ explosive popularity promises meteoric value, a common misapplication readily backfires. The number crunching only delivers if a fundamental—yet often omitted—failsafe is applied. Prediction is booming. Data scientists have the “sexiest job of the 21st century” (as Professor Thomas Davenport and US Chief Data Scientist D.J. Patil declared in 2012). Fueled by the data tsunami, we’ve entered a golden age of predictive discoveries. A frenzy of analysis churns out a bonanza of colorful, valuable, and sometimes surprising insights:[i] • People who “like” curly fries on Facebook are more intelligent. • Typing with proper capitalization indicates creditworthiness. • Users of the Chrome and Firefox browsers make better employees.…
Original Post: Sound Data Science: Avoiding the Most Pernicious Prediction Pitfall

Fundamentals of Machine Learning for Predictive Data Analytics, Dublin, 21-23 March, 2017

Course: Fundamentals of Machine Learning for Predictive Data AnalyticsInstructors: Dr. Brian Mac Namee and Dr. John KelleherWhere: Dublin, IrelandWhen: 21-23 March, 2017Cost: € 1,650Predictive analytics applications use machine learning to build predictive models for applications including price prediction, risk assessment, and predicting customer behaviour. Based on the trainers’ book, “Fundamentals of Machine Learning for Predictive Data Analytics: Algorithms, Worked Examples and Case Studies” this course presents a detailed and focused treatment of the most important machine learning approaches used in predictive data analytics, covering both theoretical concepts and practical applications.Delegates Feedback “The course provided our company with an excellent introduction to the key concepts behind machine learning. Simple explanations of the core concepts and algorithms were provided along with practical worked examples. The course was engaging and interesting and delivered by experienced presenters who brought a wide range of practical…
Original Post: Fundamentals of Machine Learning for Predictive Data Analytics, Dublin, 21-23 March, 2017

Global Predictive Analytics and Data Management Forum, Milan, February 2-3, 2017

Global Predictive Analytics and Data Management Forum, to be held in Milan, Italy on 2-3 February 2017 is a cross industry and non-vendor driven event with more than 20 global senior speakers from all over the world.Speakers from Great Britain, USA, Italy, Germany, France, Switzerland, Nordic Region, Middle East and other regions will present their case studies, share their experience and expertise in predictive analytics, data management and digital transformation of their companies.Honeywell, eBay, Airbus, Turkish Airlines, Barclays, Generali, Commerzbank, Telefonica, Adidas, Pirelli, Samsung, Renault, Toyota, Nokia, and many more have sent their senior experts in the field of Data and Business Analytics to represent their company in this two day forum in Novotel Milano Hotel to discuss the topics bellow.Topics: Predictive analytics and the business value it provides Cost saving projects via big data and analytics Designing a data…
Original Post: Global Predictive Analytics and Data Management Forum, Milan, February 2-3, 2017

3rd Annual Global Predictive Analytics Conference, Santa Clara, March 27-29 – KDnuggets Offer

Global Big Data Conference, the leading vendor agnostic conference, is organizing its 3rd Annual Global Predictive Analytics conference on March 27-29, 2017 at Santa Clara Convention Center. Global Predictive Analytics Conference emphasizes sharing real world experiences, how to create a balanced big predictive analytics team, new methods used in predictive analytics across multiple industry verticals, Panel Sessions, Keynote Sessions and workshop. SpeakersOver 50 leading experts in Data Science, Business Intelligence, and Predictive Analytics present at our conferences regularly.  Please send an email to events@globalbigdataconference.com for speaking engagements. You Get To MeetYou get to meet technical experts, Senior and C-level executives from leading innovators in the predictive analytics space (Executives from startups to  large corporations will be at our conference.) What you will learn?You’ll get up to speed on emerging techniques and technologies by analyzing case studies, develop new technical skills…
Original Post: 3rd Annual Global Predictive Analytics Conference, Santa Clara, March 27-29 – KDnuggets Offer

Data Science, Predictive Analytics Main Developments in 2016 and Key Trends for 2017

Key themes included the polling failures in 2016 US Elections, Deep Learning, IoT, greater focus on value and ROI, and increasing adoption of predictive analytics by the “masses” of industry. We recently asked some of the leading experts in Data Science and Predictive Analytics for their opinion on the most important developments of 2016 and key trends they expect in 2017.See also a previous post Big Data: Main Developments in 2016 and Key Trends in 2017. A summary of AI & Machine Learning Main Developments and Key Trends will be published next week.Some of the key themes that emerged are the polling failures in 2016 US Presidential Elections, Deep Learning, IoT, greater focus on value and ROI, and increasing adoption of predictive analytics by the “masses” of industry.Here is what the experts thought on Data Science, Predictive Analytics Main Developments…
Original Post: Data Science, Predictive Analytics Main Developments in 2016 and Key Trends for 2017

Forecast Your Future With Analytics Insights From Google, Bloomberg & others

Tags: Bloomberg, CA, Google, Innovation, Predictive Analytics, San Diego What are the top AI & Machine Learning trends for 2017? Join the Predictive Analytics Innovation Summit in San Diego on Feb 22 & 23, 2017, to find out everything you need to know about Real-time Machine Learning algorithms, developing strong data-driven cultures and more! What are the top AI & Machine Learning trends for 2017? The rise of Real-time Machine Learning algorithms with self-service data applications to enable every member of your organization to benefit from essential insights. A transition from post-event and real-time to pre-emptive analytics – optimizing your business. The development of a strong data-driven culture to pinpoint innovative revenue opportunities, improve your value chain and your customers’ experience. The progress of mobile marketing; A shift of interest from user acquisition to retention enabled by automated campaigns, evolving and engaging with…
Original Post: Forecast Your Future With Analytics Insights From Google, Bloomberg & others

Predictive Analytics for the Enterprise

[unable to retrieve full-text content]Data science success in the big data era does not start with data and software. Organizations intent upon being data-driven leaders start with immersive live training and transformative strategy.
Original Post: Predictive Analytics for the Enterprise

Webinar: Predictive Analytics: Failure to Launch – Dec 14

Learn how to get started with predictive modeling and overcome strategic and tactical limitations that cause data mining projects to fall short of their potential. Next webinar is Dec 14. Predictive Analytics: Failure to LaunchLearn How to Get Predictive ModelingOff the Ground and Into OrbitWed, Dec 14, 201611 AM ET / 8 AM PT[ ** Sign up ** ]Thu, Jan 12, 20174 PM ET / 1 PM PT[ ** Sign up ** ]1 Hour Live, Interactive Eventthe-modeling-agency.com/data-mining-webinarWHAT’S COVEREDThe vast majority of BI professionals are excited about the prospects of data mining, but are fully mystified about where to begin or even how to prepare. Of those who did initiate a modeling initiative, a recent data mining industry survey of predictive modeling practitioners reports that 51% of data mining projects either never left the ground, did not realize value or the…
Original Post: Webinar: Predictive Analytics: Failure to Launch – Dec 14