X-Received: by 10.157.63.139 with SMTP id r11mr33222551otc.42.1468953337104; Tue, 19 Jul 2016 11:35:37 -0700 (PDT) X-Received: by 10.157.5.98 with SMTP id 89mr775377otw.9.1468953337050; Tue, 19 Jul 2016 11:35:37 -0700 (PDT) Path: csiph.com!xmission!news.snarked.org!border2.nntp.dca1.giganews.com!nntp.giganews.com!f6no2703014ith.0!news-out.google.com!d68ni79ith.0!nntp.google.com!f6no2707523ith.0!postnews.google.com!glegroupsg2000goo.googlegroups.com!not-for-mail Newsgroups: microsoft.public.sqlserver.datamining Date: Tue, 19 Jul 2016 11:35:36 -0700 (PDT) Complaints-To: groups-abuse@google.com Injection-Info: glegroupsg2000goo.googlegroups.com; posting-host=24.176.63.127; posting-account=izxUTwoAAAAKU6MuxPE2I6q2cSsQ8qEq NNTP-Posting-Host: 24.176.63.127 User-Agent: G2/1.0 MIME-Version: 1.0 Message-ID: Subject: Predictive Analytics World Financial 2016 in New York City From: bobbepaw2011@gmail.com Injection-Date: Tue, 19 Jul 2016 18:35:37 +0000 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: quoted-printable Lines: 113 Xref: csiph.com microsoft.public.sqlserver.datamining:12 Hi everyone: Predictive Analytics World for Financial Services=E2=80=99 1st Annual Confe= rence is being held in New York City in concert with Predictive Analytics W= orld for Business and Predictive Analytics World for Healthcare. More info= rmation is below. =20 Predictive Analytics World for Financial Services (1st Annual Conference), = October 24-27, 2016 in New York City, will be packed with the top predictiv= e analytics experts, practitioners, authors, business thought and keynote s= peakers. The conference delivers case studies, expertise and resources to = achieve four objectives for the financial services industry: =E2=80=A2 The Best of Data Science: Deliver on the promise of data science =E2=80=A2 Bigger Wins: Strengthen the business impact delivered by predicti= ve analytics =E2=80=A2 Broader Capabilities: Establish new opportunities with predictive= analytics =E2=80=A2 Big Data: Leverage bigger data for prediction and drive bigger va= lue PAW Financial NYC keynote speakers: Usama Fayyad, Chief Data Officer at Bar= clays; Scott Zoldi, Chief Analytics Officer at FICO; and Bin Mu, VP, Busine= ss Analytics at MetLife; plus a special featured session from industry heav= y-weight Dr. John Elder, CEO & Founder at Elder Research, Inc. PAW Financial is the leading cross-vendor event, covering the deployment of= predictive analytics for financial services. The event will feature 14 ven= dor-neutral sessions =E2=80=93 attend them to witness case studies on how p= redictive analytics is applied at these leading enterprises: Barclays, Bizf= i Business Financing, FICO, Hopper, GE Capital, MetLife, Microsoft, Paychex= , PNC Bank, and TransUnion. Read more about the scope of PAW Financial or v= iew the 2016 agenda at a glance.=20 PAW Financial covers hot topics and advanced methods such as fraud detectio= n, cross-enterprise applications, cross-enterprise deployment, predictive i= nvesting, price prediction, risk management and stress testing and other in= novative applications that benefit organizations in new and creative ways.= =20 Co-located alongside PAW Business, which covers predictive analytics deploy= ment across other fields of business (telecom, retail, marketing, online, e= tc.), as well as PAW Healthcare, the eMetrics Summit and the Predictive Ana= lytics Times Executive Breakfast. Cross-registration options are available = for these events.=20 PAW Financial attendees hail from banks, insurance companies, credit card c= ompanies, investment firms, and other financial institutions, and range acr= oss enterprise functions. =E2=80=A2 Managers. Project leaders, directors, CXOs, vice presidents, inve= stors and decision makers involved with analytics and data science. =E2=80=A2 Risk managers and risk analytics practitioners. Data scientists w= ho work in credit scoring, risk management, and transaction fraud detection= . =E2=80=A2 Insurance risk modelers and underwriters. Those who apply predict= ive actuarial methods, insurance pricing and selection analytics, and claim= s fraud detection. =E2=80=A2 Technology experts. Analysts, data scientists, BI directors, deve= lopers, DBAs, data warehousers, web analysts, and consultants who wish to e= xtend their expertise to predictive analytics. Join PAW Financial and access the best keynotes, sessions, workshops, expos= ition, expert panels, networking coffee breaks, reception, brand-name enter= prise leaders, and industry heavyweights in the business. READ MORE: Articles and blog entries about PAW can be found at pawcon.com/p= ressroom.php ASSESS AND SELECT THE RIGHT TECHNOLOGIES. Meet the industry=E2=80=99s top s= olutions providers, discover new solutions, and compare vendor offerings. T= he Predictive Analytics World Expo Hall is the best place to research and i= dentify new vendor/partner prospects. COLLEAGUES. Mingle, network and hang out with the industry=E2=80=99s best a= nd brightest. Exchange experiences over lunch, coffee breaks and the confer= ence reception to connect with people who face the same challenges as you. GET STARTED. If you're new to predictive analytics, kicking off a new initi= ative, or exploring new ways to position it at your organization, there's n= o better place to get your bearings than Predictive Analytics World. See wh= at other companies are doing, experience vendor demos, participate in discu= ssions with the experts, network with your colleagues, and weigh your optio= ns! More Information: http://www.predictiveanalyticsworld.com/financial/2016/ PAW Financial New York City Agenda at a glance: http://www.predictiveanalyt= icsworld.com/financial/2016/agenda_overview.php Register: http://www.predictiveanalyticsworld.com/financial/register.php Super Early Bird Registration by July 22, 2016 and save $600. Save an additional $200 on the 2 Day Pass for each additional attendee from= the same company registered at the same time. To sign up for the PAW group on LinkedIn, see: www.linkedin.com/e/gis/10050= 97 Follow PAW on Twitter: http://twitter.com/pawcon/ ALL PREDICTIVE ANLYTICS WORLD EVENTS: Predictive Analytics World London - Oct 12-13, 2016 - http://predictiveanal= yticsworld.co.uk/ Predictive Analytics World for Government - Oct 17-20, 2016 - http://www.pr= edictiveanalyticsworld.com/gov/2016/ Predictive Analytics World Business New York City - Oct 23-27, 2016 - http:= //www.predictiveanalyticsworld.com/newyork/2016/ Predictive Analytics World Financial NYC - Oct 24-27, 2016 - http://www.pre= dictiveanalyticsworld.com/financial/2016/ Predictive Analytics World for Healthcare NYC - Oct 24-27, 2016 - http://ww= w.predictiveanalyticsworld.com/health/2016/ PAW Videos: Available on-demand =E2=80=93 www.pawcon.com/video