The history of Predictive Analytics World in 13 bullets
Check out these historical Predictive Analytics World milestones, from spawning the Target-predicting-pregnancy publicity debacle, to getting dinged by the Hollywood action movie star Chuck Norris, to growing into the leading international event series it is today.
Happy 10th Anniversary to Predictive Analytics World!
Check Out this Brief History of PAW
2019 marks the 10 year anniversary of the Predictive Analytics World conference series. During this decade-long run leading the commercial deployment of machine learning, PAW has delivered value to over 14,000 attendees across more than 60 industry-leading events that have included over 1,200 sessions, internationally.
Mega-PAW 2019 – June 16-20 at Caesars Palace, Las Vegas – is the most valuable machine learning event to attend this year. Only by keeping up with the most valuable trends has PAW remained the leading event.
This June in Vegas, Mega-PAW will bring together five industry-focused events: PAW Business, PAW Financial, PAW Industry 4.0, PAW Healthcare, and Deep Learning World. This is five simultaneous two-day conferences all happening alongside one another at Caesars Palace in Vegas – plus a diverse range of full-day training workshops, which take place in the days just before and after.
Mega-PAW delivers brand-name, cross-industry, vendor-neutral case studies purely on machine learning deployment, and the hottest topics and techniques.
The History of PAW
The field of machine learning has come a long way, and PAW has grown and adapted right along with it. In fact, the many cross-industry PAW events have helped catalyze and solidify the field, following predictive analytics from a nascent industry to the commercial movement it is today.
Check out these historical PAW milestones, from spawning the Target-predicting-pregnancy publicity debacle, to getting dinged by the Hollywood action movie star Chuck Norris, to growing into the leading international event series it is today.
February 2009: The inaugural Predictive Analytics World.
The first PAW was held in San Francisco as a two-track event. It blazed the trail as the very first vendor-neutral conference focused on machine learning's commercial deployment – in comparison with existing academic or vendor-run conferences at the time – and remains the leading such event.
October 2010: PAW spawns the Target-predicting-pregnancy story.
A PAW keynote from Target on predicting customer pregnancy (see the full session video here) spawned a publicity debacle for the large retailer, which took place more than a year later in early 2012, by way of a front-page New York Times Magazine article by Charles Duhigg – an excerpt that served to publicize the launch of his book "The Power of Habit" at the time – which expounded upon the keynote's contents and was regurgitated by a media frenzy. However, this flame-igniting article probably misled the public about the reality behind an alleged anecdote involving a pregnant teenager.
November 2010: PAW begins holding annual events in London.
September 2011: Predictive Analytics World for Government launches in Washington, DC.
March to October 2012: PAW begins holding three main business events per year in the U.S.: East coast, west coast, and Chicago.
November 2012: PAW begins holding annual events in Germany.
February 2013: Eric Siegel's book, "Predictive Analytics".
The first edition of PAW Founder Eric Siegel's book, Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die, publishes in the U.S. It will be used in courses at over 35 universities, rank as the #1 Amazon bestseller in 2 categories, and be translated into 12 languages. The updated edition was released in 2016.
March 2014: The Predictive Analytics Times news site launches as an informative sister property to the PAW events.
April 2013: Chuck Norris writes about Predictive Analytics World.
Famed Hollywood action film star Chuck Norris mentioned PAW in a derogatory manner in an article expressing privacy concerns over the IRS's collection of social media data, as covered by a speaker from the IRS at PAW Government.
June 2014: PAW for Manufacturing (now PAW Industry 4.0) begins as an annual event.
September 2014: PAW for Healthcare begins as an annual event.
October 2016: PAW for Financial Services begins as an annual event.
February 2017: PAW Industry 4.0 begins also as a repeated event in Germany.
Noteworthy Speakers and Keynotes
Along the way, PAW audiences have enjoyed guidance and inspiration from a stellar range of keynote speakers from the likes of Google, Lyft, Uber, Facebook, UPS, Verizon, HP, IBM, FICO, Amazon, MetLife, Charles Schwab, etc. – as well as the following sample of noteworthy keynote speakers:
Mega-PAW Is Born
Predictive Analytics World in North America continued its growth trajectory by bringing together all industry-specific PAW events in Las Vegas. Convening all the key industry figures and verticals greatly expands the networking potential. The wide range of jointly scheduled events includes: PAW Business, PAW Financial, PAW Industry 4.0 (formerly PAW Manufacturing), PAW Healthcare, and Deep Learning World,
June 2018: Deep Learning World launches as an annual sister event in Vegas.
Deep Learning World covers deep learning's commercial deployment across industry sectors. This relatively new form of neural networks has blossomed, both in buzz and in actual value, scaling machine learning to process, for example, complex image data.
November 2018: Deep Learning World also begins as an annual event in Germany.
Onward and Upward: Mega-PAW Vegas 2019
In 2019, there will be only one Mega-PAW: June 16-20, 2019 at Caesars Palace, Las Vegas. With 2018's first-ever Mega-PAW being a stunning success, this new multi-event format continues in 2019 as a regular annual event. By design, this mega-conference is where to meet the who's who and keep up on the latest techniques, making it the leading machine learning event that excites and unites. Mega-PAW brings together five co-located events:
... plus a range of full-day training workshop options that include two on deep learning and TensorFlow, as well as R, Spark, and advanced topics such as ensemble models and other advanced techniques.
I hope to see you there!
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