The majority of data scientists and AI enthusiasts are excited about the prospects of predictive analytics and machine learning, but are fully mystified about where to begin or even how to prepare. Of those who did initiate a modeling initiative, an industry survey of predictive modeling practitioners reported that 51% of predictive analytics projects either never left the ground, did not realize value, or the results were not measurable.
Thanks to modern analytic software, most who attempted an implementation did end up building technically accurate predictive models — that answered the wrong questions, were misapplied or never adopted. This is precisely like placing a perfectly good rocket upside down on the launch pad.
So, how does one approach an intangible, cryptic, seemingly immeasurable technology? Beyond the inherent up-front risks of engaging in what is perceived as a discovery process, just identifying a starting point can be intimidating and mystifying. Despite its elusive nature, analytics success stories convey significant impact in mainstream publications more frequently. Your competitors are discovering that success in this field does not start with data and software.
For any organization with annual revenues greater than $50 million, establishing an analytic operation that thrives on validated impact is not a matter of whether, but when. Predictive analytics and machine learning are now in great demand for transforming AI investments into actionable information assets. It’s imperative that leaders shift their decision-making from gut-feel to data-driven and start advancing their analytic capability.
Attend this free vendor-neutral webinar to learn how to get started with predictive analytics and overcome limitations that cause most machine learning projects to fall short of their potential.
Thanks to modern analytic software, most who attempted an implementation did end up building technically accurate predictive models — that answered the wrong questions, were misapplied or never adopted. This is precisely like placing a perfectly good rocket upside down on the launch pad.
So, how does one approach an intangible, cryptic, seemingly immeasurable technology? Beyond the inherent up-front risks of engaging in what is perceived as a discovery process, just identifying a starting point can be intimidating and mystifying. Despite its elusive nature, analytics success stories convey significant impact in mainstream publications more frequently. Your competitors are discovering that success in this field does not start with data and software.
For any organization with annual revenues greater than $50 million, establishing an analytic operation that thrives on validated impact is not a matter of whether, but when. Predictive analytics and machine learning are now in great demand for transforming AI investments into actionable information assets. It’s imperative that leaders shift their decision-making from gut-feel to data-driven and start advancing their analytic capability.
Attend this free vendor-neutral webinar to learn how to get started with predictive analytics and overcome limitations that cause most machine learning projects to fall short of their potential.
Why attend?
Why failure to implement is so common, and why pitfalls are so avoidable
Case studies that reveal the rewards of proper design and implementation
Why establishing an internal predictive modeling practice is within your reach
Tips, tricks and techniques for data preparation and method selection
Live participant polls to share sentiments and Q&A with the experts
Who should attend?
AI INVESTIGATORS, CIOs, CKOs, CTOs, Stakeholders, Functional Officers, Technical Directors and Project ManagersLINE-OF-BUSINESS EXECUTIVES AND FUNCTIONAL MANAGERS: Risk Managers, Customer Relationship Managers, Business Forecasters, Inventory Flow Analysts, Financial Forecasters, Direct Marketing Analysts, Medical Diagnostic Analysts, eCommerce Company Executives
DATA SCIENTISTS: Who recognize the importance of complementing their tactical proficiency with a strategic planning and design approach to advanced analytics
TECHNOLOGY PLANNERS: Who survey emerging technologies in order to prioritize corporate investment
THE ANALYTICALLY CURIOUS: Who desire additional perspectives on the topic
CONSULTANTS: Whose competitive environment is intensifying and whose success requires competency with data science and related emerging information technologies
Speakers
Eric King, President at The Modeling Agency, LLC
Eric A. King is the president and founder of The Modeling Agency, LLC. Eric is an analytic leader and translator who also serves as the creator and moderator of The Analytics Clinic. Every month, a new episode of the Clinic runs live experiments on popular machine learning and AI topics. A panel of seasoned active consultants then discuss live on camera how the winning approach is applied in today's complex environments and cultures in the "Realm of Reality" segment. Participation in the live Clinic is free to the first 100 to enter the online auditorium.
Scott Terry, Senior Consultant at The Modeling Agency, LLC
Scott Terry is a multi-talented industry veteran with 30 years of experience on both the client and services side of data mining, predictive analytics and database marketing. Scott’s senior leadership experience includes serving as Vice President of Marketing for Home Shopping Network where he led its teams of data miners and researchers. He also served as Leader of Corporate Marketing for Acxiom, Inc, and Senior Director of Business Intelligence for Hyphos360 (now part of AccuData). Scott was an early pioneer of the database marketing industry while serving as the Senior Corporate Statistician with Holiday Inns, Inc. Having also received an honors degree and scholarships in the Arts, Scott has earned the reputation as a gifted quantitative strategist with intuitively creative and prescriptive problem-solving abilities.
Keith McCormick, Senior Consultant at The Modeling Agency, LLC
Keith McCormick has leveraged statistical and machine learning methods as well as holding deep expertise using popular commercial and open source solutions involving big data, structured data, and text analytics since the early 1990s. As a senior consultant with The Modeling Agency, LLC, McCormick guides organizations to advance their analytic capability across industries, to include public sector, media, marketing, healthcare, retrial, finance, manufacturing, and higher education. He is a highly accomplished professional mentor and trainer, having served as keynote speaker and moderator at international conferences focused on practitioners and leadership alike. He possesses a unique blend of tactical and strategic skills along with the business acumen to ensure superior project design, oversight, and outcomes that align with organizational targets.
Organizer:
The Modeling Agency, LLC enables growth-mindset organizations to build value-focused machine learning & AI-driven predictive modeling operations that produce measurable, accountable, understandable, adoptable and residual impact. TMA has been recognized as a 2018 Top 20 data analytics service ...
Read More
