Three Things to Maximize Machine Learning ROI
This is a past event. If you would like to see a video recording of this webinar, please fill out the form below to access the link. There’s a whirlwind of enthusiasm around machine learning (ML). According to a survey by New Vantage Partners, 75% of business leaders...
How Decision Modeling Reduces Complexity in Regulated Industries
This is a past event. If you would like to see a video recording of this webinar, please fill out the form below to access the link. Organizations in highly regulated industries like healthcare, finance, insurance, and energy are constantly wrestling with how to...
Maximizing the Value of Business Rules
How do you make the most of your Business Rules Management System (BRMS)? Lack of clarity about the purpose of rules, management complexity, and advice from consultants who forget that a BRMS should facilitate better decision making can take you off course. In this...
Digital Decisioning: Driving Business Value from Advanced Analytics, Machine Learning and AI
Webinar from the International Institute for Analytics Join author James Taylor, as he shares insights on moving from BI and visualization to analytics and machine learning. He shares a practical and effective way that includes a disciplined approach focused on...
Learn How to Put Customer-facing Decisions at the Heart of Your Digital Transformation
According to IDC, 85% of enterprise decision-makers say they have two years to make significant inroads into digital transformation or they will fall behind their competitors and suffer financially. While many Digital Transformation initiatives are focused on...
Introduction to Digital Decisioning
The speed, volume and complexity of decisions – as well as the impact they have on customer experience – demand automated, real-time decision making. Digital decisioning is an emerging best practice for delivering business impact from AI, machine learning, and...
Increasing Productivity in Insurance Operations with Digital Decisioning
McKinsey recently reported that "Most carriers are struggling to meet their cost of capital, and productivity has barely moved over the past decade" and that "The insurance industry is facing a serious structural challenge ... the majority of carriers are not making...
Five Reasons to Fire Your Rules Consultant
In many of our decision management projects, we are helping clients adopt the technologies and approaches they need to succeed with digital decisioning and decision automation. One of the key technologies for these types of projects is a Business Rules Management...
Three Secrets to Creating a Successful Predictive Enterprise
Companies are increasingly looking to predictive analytics and machine learning to manage risk, detect fraud, maximize customer value and reduce operational costs. These data-driven decision-making initiatives are compelling companies to move beyond their initial...
Delivering the Business Value of Analytics
Many organizations still struggle to get a business return on their investment on advanced analytics. The biggest barrier? An inability to integrate analytics, especially predictive analytics, into frontline systems and business processes. Work with a number of global...
What is a Claims Handling Pilot?
A claims handling pilot delivers data-driven claims risk, fraud and wastage decisions directly into your claims process. Using real-world examples, learn how you can maximize straight through "Jet" processing while minimizing risk and fraud using a decision-centric,...
What is a Next Best Action Pilot?
A next best action pilot delivers data-driven marketing decisions directly into the customer journey. Using real-world examples, learn how you can maximize Customer Lifetime Value while providing a decision-centric, continuous improvement business architecture. Our...
Boost Your Claims System with Decision Automation
Learn how you can automate decisions to handle more claims without manual intervention. Boost your Jet or Straight Through Processing rates to new heights to reduce costs, control risk, manage fraud and improve customer satisfaction. The webinar has taken place. Watch...
Rapid Deployment of Customer Next Best Action
Learn how you can quickly deploy next best action decisions that deliver the right marketing or customer service message to each customer, each time you interact with them. Learn from real world projects how you can deliver targeted, automated customer treatment...
3 Critical Elements of a Digital Business Platform
Successful digital programs extend their Digital Business Platforms with 3 critical elements: decision modeling, predictive analytics and business rules technology. Coordinating these technologies into a virtual decision hub, Decision Management automates and improves...
Success in Customer Next Best Action: Decision Modeling, Rules and Analytics
Digitizing, personalizing and improving customer interactions is critical to business growth, customer retention and market engagement. Executives want to ensure that every interaction with every customer adds value - they want to deliver the next best action for each...
5 Things You Need to Know Before You Deploy Your Model
Once you have a predictive analytic model, data mining output, a machine learning result or any other analytic output, the answers to these 5 questions determine how well deployment is going to go.
6 Questions to Ask Your Business Partner Before You Model
Get the business understanding right! Analytics Teams know that one of their biggest challenges is effective communication and collaboration with their business partners. Projects are plagued with too many iterations to get to a solution, too many detours responding...
Bringing Clarity to Analytics Projects with Decision Modeling: A Case Study
Bringing Clarity to Analytics Projects with Decision Modeling: A Case Study To succeed, an analytics or data science team must effectively engage with business experts who are often inexperienced with advanced analytics, machine learning and data science. They need a...
3 Reasons to Adopt Decision Modeling in Your Existing BRMS Program
A decision modeling approach using DMN is the best practice for for scaling BRMS programs. Decision modeling address 3 key challenges of a existing BRMS program, improving traceability, sustaining business engagement and maximizing re-use while minimizing duplication.
4 Reasons to Start with Decision Modeling on Your First BRMS Project
If you are kicking off your first BRMS project, don’t start by gathering the rules! Often teams will be advised to begin their business rules project by gathering all the relevant rules, in a natural language or rulebook approach. But these rules-first approaches...
DecisionsFirst Modeler Integration for IBM ODM
Watch the demonstration of the integration capability of DecisionsFirst Modeler Enterprise Edition with IBM Operational Decision Manager (ODM). DecisionsFirst Modeler enables organizations to accurately specify their business using decision requirements models;...
DecisionsFirst Modeler Integration for RedHat JBoss BRMS
Watch the demonstration the integration of DecisionsFirst Modeler Enterprise Edition with RedHat JBoss BRMS. DecisionsFirst Modeler is a collaborative decision modeling solution using the new Decision Model and Notation (DMN) standard. DecisionsFirst Modeler provides...
Framing Analytic Requirements with Decision Modeling
One of the most important steps in a predictive analytic effort is correctly framing the problem a way that creates a shared understanding of the business problem across business, IT, and analytics teams. A decision requirements model makes it clear how to best...
How to Succeed with Advanced Analytics at Scale
Leading organizations today are looking to scale their advanced analytics capabilities, especially data mining and predictive analytics, to improve business performance, reduce fraud and improve customer responsiveness. However traditional analytic project approaches...