When Hare Beats Tortoise: Knowing When to Train Your Predictive Models

Undeployed machine learning models preventing your business from making better decisions faster? Learn how Enova Decisions Cloud enables you to automate and optimize decisions at-scale through the cloud.

Fraud, churn, and defaults are among the many challenges that telecommunications companies are facing. Learn how Enova Decisions enables telecommunications businesses to make smarter decisions about consumers and profitably grow their subscriber base.

Rising healthcare costs are shifting more financial responsibility to consumers. For companies that offer healthcare financing, this means opportunity. Learn how Enova Decisions enables businesses to capitalize on this opportunity and helps patients access the healthcare services they need.

Are siloed, manual decision-making processes creating a negative customer experience and hurting your bottom-line? Learn how Enova Decisions enables you to make more accurate and profitable decisions about consumers and customers while leveraging your existing infrastructure.

Businesses are realizing the benefits of predictive analytics, especially when using the latest technologies in machine learning & AI. The prevailing methodology has been to train predictive models in order to determine which data is useful and which data is not prior to deployment. While training improves the predictive power of your predictive models, there are cases when training prior to deployment may not make sense for your business.

This session discusses how to determine when to train your models and how to effectively turn the insights from your models into action that improves business outcomes.

Key Takeaways:

• How machine learning & AI can boost business performance
• How to determine when to train your predictive analytics models
• How to turn analytics to action through digital decisioning

From 2018 Forrester Digital Transformation Summit Breakfast Session, Sean Naismith, Head of Analytics Services at Enova Decisions, covers why decision models are necessary for digital transformation.

Opportunities and challenges uncovered from a recent Forrester commissioned study on the rise of decision automation and emerging technologies like machine learning to achieve digital transformation.

Automating the decision-making process and being able to activate machine learning and predictive models into business processes and decision models are key to gaining operational efficiency and digital transformation.

In this webinar, we will explore how analytics-as-a-service and real-time digital decisioning methods and platforms provide lower-cost, more efficient solutions. Expert Joe DeCosmo, CAO at Enova International and Enova Decisions, will explain how businesses can utilize these solutions to vastly improve operational decision-making capabilities and create measurable results.

AI and machine learning have the potential to transform payments to be less risky, more profitable, and real-time. However, implementing these new technologies can be prohibitive in terms of time, resources, and cost. This session shows how digital decisioning overcomes those barriers and enables businesses to integrate analytics with existing business rules and platforms to deliver smarter payments.

Key Takeaways:

•What is digital decisioning and why does it matter?
•How can digital decisioning lead to better debiting results?
•What should be considered when selecting a digital decisioning system?

Many of the challenges businesses across industries will face in 2018 impact customer onboarding. In this webinar, Sean Naismith, Head of Analytics Services at Enova Decisions, with guest speaker Eddie Glenn, Product Marketing Manager at iovation, discuss these challenges and explore how machine learning and digital decisioning can enable businesses to overcome these challenges to deliver a seamless customer onboarding experience.

Key Takeaways:
•What are major customer onboarding challenges?
•What is machine learning and digital decisioning?
•How can machine learning and digital decisioning address customer onboarding challenges?

Industries: Financial Services, Telecommunications, Communications, Insurance
Titles: Manager, Director, VP, CEO/CFO/COO/CIO/CTO
Roles: Product Owner, Risk, Analytics, Finance

Digital transformation is everywhere. It's in the networks of consumer data that tell a story of who we are and how we behave. It's in the bank branch or insurance agency that moves and shifts towards providing financial products through an online customer experience. It's in the palm of our hands as we text, swipe, and tap our way to faster answers and instant gratification.

Digital transformation is everywhere, and in order for businesses to benefit and stay competitive, they must join the advanced analytics game. Businesses will feel the biggest benefit and impact when they utilize big data, advanced analytics, artificial intelligence (AI), and digital decisioning technology to do the following:

– Automate operational decisions in real time with confidence
– Digitally transform their operations to not only impact business performance, but also, improve the customer experience
– Compete on analytics without extra headcount or hiring of data scientists

Through the power of data, machine learning, and digital decisioning technology, business users can quickly and accurately achieve the above business milestones — no data scientists required. From there the automation and digital transformation possibilities are limitless for creating a rich and seamless customer experience that will keep your business one step ahead of the competition.

Since the advent of computers, analytics has benefited business by turning meaningful patterns in data that would be missed by humans into actionable insights and information. Today, further innovation around analytics is made possible through gains in automation and machine learning. Digital decisioning leverages these advanced technologies by turning predictive models and inputs including business rules and third-party data into decision flows that can be used to make business decisions around risk mitigation and management.

In this webinar, expert Sean Naismith, head of analytics services at Enova Decisions, will explain how businesses can utilize digital decisioning to vastly improve operational decision-making capabilities and create measurable results around credit risk, fraud, operations and marketing.

About the speaker:
Sean Naismith joined Enova as Head of Analytics Services for Enova Decisions in 2016 where he leads the development of solutions, defines the product roadmap, and manages the internal team and clients. Prior to working at Enova, Sean served as an Advanced Analytics Consultant and Senior Director of Business Analytics for Leapfrog, where he led the development of the company’s predictive analytics capabilities. Before Leapfrog, Sean served as Director of Strategic Intelligence for TrendPointers, LLC, and Director of Research for Global Currency Group. He also currently serves as Managing Director and Chief Compliance Officer of Naismith Wealth Management, LLC, which he founded in 2015. Sean is a CFP® certificant and holds the CMT designation. He received his B.S. in finance from the University of Illinois at Chicago.

Optimizing decision-making for operational business processes requires big data, artificial intelligence, machine learning predictive analytics, and business rules. Combing these elements requires a digital decisioning platform with the ability to build advanced decision flows. Explore how banks, financial services, insurance, and telecommunication companies looking for digital transformation can utilize decision management systems to solve business problems with measurable results.

Business leaders know they need to leverage data, predictive analytics, and decision management technology to automate and improve decision making. But at many organizations the cost of building the necessary models and infrastructure is prohibitive—not to mention incredibly time-consuming.

Fortunately, analytics-as-a-service and real-time decision management systems (DMS) are emerging as lower-cost, more efficient solutions. In this webinar, experts will explain how businesses can utilize these solutions to vastly improve operational decision-making capabilities and create measurable results around credit risk, fraud, verification, payments, collections, and marketing.

Watch and learn:

- How DMS use business rules, predictive models, and optimization to provide a repeatable, proven approach to problem solving
- Top 5 considerations for selecting a DMS
- How Enova Decisions combines analytics expertise, data source integration, and technical infrastructure to help businesses compete on analytics

Agility — doing things fast, and iteratively — is the key to success in turbulent markets. Analytics-as-a-Service partnerships can facilitate agile analytics allowing you to develop and iterate algorithms and models faster, and more effectively, than is possible when you are responsible for deploying and managing your own advanced analytics infrastructure.

This webinar will explore the emergence of analytics as a service (AaaS), and the use of AaaS providers to avoid the time, cost and risk associated with deploying cutting-edge advanced analytics infrastructure. You’ll hear about the emergence of AaaS, the profile of companies exploiting AaaS providers, and the criteria you should use when evaluating AaaS providers, as well as the economic and time-to-market benefits of leveraging Analytics-as-a-Service partnerships to improve your advanced analytics capabilities and leapfrog your competition.

Join us to learn how Analytics-as-a-Service can help develop competitive advantage and increase agility in the ever-evolving marketplace.