What is a claims handling pilot?

•

1 like•867 views

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, continuous improvement business architecture. Our proven decisions-first approach delivers the 5 elements of a powerful claims handling platform: decision model, business rules, risk and fraud analytics, impact analysis and continuous improvement.

@jamet123 #decisionmgt © 2018 Decision Management Solutions 1
What is a Claims Handling Pilot?
 Demonstrate faster, more accurate claims handling
 Engage all your stakeholders
 Identify and prove the technology involved
 Develop a plan for implementation

@jamet123 #decisionmgt © 2018 Decision Management Solutions
James Taylor, CEO
What is a Claims Handling Pilot?

@jamet123 #decisionmgt © 2018 Decision Management Solutions 3
Your Goals
 Demonstrate faster, more accurate claims handling
 Engage all your stakeholders
 Identify and prove the technology involved
 Develop a plan for implementation

@jamet123 #decisionmgt © 2018 Decision Management Solutions 4
This Webinar Will Help You
 Build a shared vision at your company
 See the steps that have helped others succeed

@jamet123 #decisionmgt © 2018 Decision Management Solutions 5
A Pilot Is Key To Next Best Action Success
 Engages business stakeholders
 Demonstrates value to technical stakeholders
 Creates a believable future state
 Proves transparency, agility and control upgrade
 Readily extends to production - not a throw away

@jamet123 #decisionmgt © 2018 Decision Management Solutions 6
Develop a decision model
Develop rules and analytics
Deliver a working service
Deliver decision-centric dashboard
Claims Handling Pilot Plan

@jamet123 #decisionmgt © 2018 Decision Management Solutions 7
For a Successful Pilot
Deliver These 5 Critical Elements
Impact Analysis
Business Rules
Continuous
Improvement
Risk and Fraud
Analytics
Decision Model

@jamet123 #decisionmgt © 2018 Decision Management Solutions 8
Engage Business Stakeholders
 Decision Modeling is
 Rapid
 Engaging
 Enlightening
 Open
 And business stakeholders love it!

@jamet123 #decisionmgt © 2018 Decision Management Solutions 9
Demonstrate Technical Value
 Persuade IT
 Control
 Integration
 Persuade Analytics
 Operationalization
 Deployment options
Analytical
Models
NeuralRules Business
Rules

@jamet123 #decisionmgt © 2018 Decision Management Solutions 10
Show Future Operational Environment
 From
 One-Time Change
 Deployment Risk
 Lack of Control
 To
 Continuous Improvement
 Incremental Change
 Impact Analysis First

@jamet123 #decisionmgt © 2018 Decision Management Solutions 11
Prove Transparency, Agility, Control
 Help The Business
 See decisions made
 Determine business impact
 Propose rule changes
 Test and validate changes
 Simulate impact
 Make Changes

@jamet123 #decisionmgt © 2018 Decision Management Solutions 12
Define A Path To Production
 Reuse pilot components
 Clear next steps
 Complete the model
 Integrate with production data
 Test and learn
 Agile, iterative development

@jamet123 #decisionmgt © 2018 Decision Management Solutions 13
The Destination:
Consistent Agile Claims Handling
External Data
Big Data
Business
Rules
Continuous
Improvement
Analytics and
AI
Chabot, Web or
Claim Agents
Consistent
decision-making
Enforce policies
Apply predictive
analytics
Learn, Adapt,
Improve

@jamet123 #decisionmgt © 2018 Decision Management Solutions 14
SUMMARY
▶ Benefits
▶ Engages business stakeholders
▶ Demonstrates value to technical
stakeholders
▶ Creates a believable future state for the
organization
▶ Proves transparency, agility and control
can be improved
▶ Readily extends to production - not a
throw away
▶ Schedule
▶ 10-12 week project
Impact Analysis
Business Rules
Continuous
Improvement
Risk and Fraud
Analytics
Decision Model

@jamet123 #decisionmgt © 2018 Decision Management Solutions 15
Your Questions
▶ James Taylor, CEO
▶ james@decisionmanagementsolutions.com
▶ +1 650 400 3029
▶ @jamet123
Enter questions
for the Q&A here

@jamet123 #decisionmgt © 2018 Decision Management Solutions 16
Thank You
 More resources for success with
Claims
 http://bit.ly/DMSClaims
Decision Management Solutions works
with clients to improve their business
by applying business rules & analytic
technology to automate & improve
decisions.
We can help you pilot a custom claims
handling solution for your business.

One of the prime causes of complex business processes is the inclusion of decision-making in process designs. Organizations that identify the decisions in their processes and manage them as peers – not part of the process but supporting it – find they can simplify process designs, increase agility and bring business users and IT into better alignment. This webinar will build on real case studies to show you how keeping decisioning and process entangled creates complexity, how to find decisions in your complex processes and how Decision Management delivers simpler, more manageable processes.

Delivering the Business Value of Analytics

Decision Management Solutions

3 Critical Elements of a Digital Business Platform

Decision Management Solutions

Increasing Productivity in Insurance Operations with Digital Decisioning

Decision Management Solutions

Backward Engineering: Plan Machine Learning Deployment in Reverse

Decision Management Solutions

Five Reasons to Fire Your Rules Consultant

Decision Management Solutions

The role of decision models in analytic excellence

Decision Management Solutions

Organizations are increasingly investing in data analytics to improve decision-making. Dashboards, self-service BI, data mining, predictive analytics, machine learning and cognitive technologies are being evaluated, deployed and used as organizations push to adopt data-driven decision-making. Effectively using these analytic technologies requires a disciplined focus on better decisions. Some organizations are using decision modeling, and the DMN standard, to achieve analytic excellence.

Mind The Gap - Refinements to DMN 1.1 Suggested by Real-World Experience

Decision Management Solutions

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 to unfocused requests, and too often the final model results in a positive analytic result that can’t demonstrate business value. What can you do? Analytics and decision modeling expert James Taylor of Decision Management Solutions outlines six questions to ask your business partner before you start modeling and shows you why decision modeling is the best approach to building this shared understanding.

4 Reasons to Start with Decision Modeling on Your First BRMS Project

Decision Management Solutions

If you are kicking off your first BRMS project, don’t start by gathering the rules! Often teams will be advised to begin their project by gathering all the relevant rules, in a natural language or rulebook approach. But these rules-first approaches address issues that don’t exist with modern BRMS technology, resulting in redundant and counter-productive efforts. A decisions-first, decision modeling approach using the Decision Model Notation (DMN) standard is the best practice for business rules projects when implementing a modern BRMS. In this recording of our live webinar, you will learn why building a decision model that is linked to the business context (metrics, processes, logical data structures) and then implementing this directly in a linked BRMS is faster and cheaper while resulting in more accurate rules, more business engagement and better value realized.

DecisionsFrst Modeler and Red Hat JBoss BRMS

Decision Management Solutions

Learn how decision models based on the Decision Model and Notation (DMN) standard can be more easily integrated with business rules being managed and deployed using JBoss BRMS, improving traceability and business ownership. Decisions First Modeler Enterprise Edition Integration with JBoss BRMSDecisionsFirst Modeler is a collaborative decision modeling solution using the new Decision Model and Notation (DMN) standard. DecisionsFirst Modeler provides a diagram-based, business user friendly front-end to the business rules environment.

How to succeed with advanced analytics at scale

Decision Management Solutions

Case Study UMUC - Decision Modeling for Predictive Analytic Projects - Predic...

Decision Management Solutions

Establishing a shared understanding of the business problem across business, IT and analytics teams is critical for successful predictive analytics projects. Recently decision modeling has begun to be adopted as a way to specify business requirements for predictive analytics projects. This session will introduce decision modeling and describe how it helps predictive analytics practitioners. The value of the technique will be illustrated with both experience working with real-world projects and of using the approach to teach students of analytics.

How to Innovate Risk Management and Customer Centricity

Decision Management Solutions

Agile and Cost Effective Compliance: Going Beyond Business Rules with Decisio...

Decision Management Solutions

Decision management and business rules management systems are the ideal platform for an agile and cost-effective compliance approach. In regulated industries like financial services, leading companies are building compliance into every process and system with consistency and transparency across the entire organization and with the agility to meet ever more challenging deadlines. Companies that fail to do so incur huge costs with manual checks and balances and risk significant fines. In this webinar James Taylor, CEO of Decision Management Solutions and Jan Purchase, Director and Founder of Investment Banking Specialists Lux Magi, share know-how and best practices from their extensive experience of helping clients implement decision management and business rules management systems to conquer complexity, improve agility, lower costs and measure ongoing effectiveness in financial compliance. The webinar includes illustrations of how the decision management approach has been applied in compliance projects and a walkthrough of real decision model from one of these.

Customer Decision Management - 5 Benefits

Decision Management Solutions

Extending Business Architecture with Regulatory Architecture using Decisions ...

Decision Management Solutions

As businesses have an increasing obligation to demonstrate compliance with regulations there is a need for a business architecture view that not only tracks regulations impact but also connects seamlessly to diverse, distributed implementations in automated systems and manual procedures. The Decision Model Notation (DMN) has been used to create a decision architecture for regulatory compliance at a leading global financial organization. This Regulatory Architecture includes business decisions impacted by a variety of global financial regulations – the Dodd Frank Act, in particular. This business architecture has been modeled in the form of decision requirement models and aligned with business process and business organization architectures. Presented by Gagan Saxena of Decision Management Solutions at the Building Business Capability Conference (BBCCon) 2015

Lessons Learned from the Real-life Deployment of Decision Management at Scale

Decision Management Solutions

A New Approach to Defining BI Requirements

Decision Management Solutions

PASS Business Analytics 2015 - Most organizations lack an approach that lets them specify their requirements for BI or for analytics more broadly. Their ability to find opportunities for, and successfully use, more advanced analytics is limited. In this session, James Taylor will introduce decision modeling with DMN, a new standards-based approach to modeling decisions. He will introduce the core concepts of the approach and show how it can be used to drive more effective requirements for BI, dashboard and analytic projects. Attendees will learn how to begin with the decision in mind, defining their BI requirements in terms of the decision-making they need to improve.

Implementing analytics? You need decision modeling and business rules

Decision Management Solutions

Bringing clarity to analytics projects with decision modeling: a leading prac...

Decision Management Solutions

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 framework for connecting business problems to possible analytics solutions and operationalizing results. Decision modeling brings clarity to analytics projects, linking analytics solutions to business problems to deliver value.

Introduction to Digital Decisioning

Decision Management Solutions

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 analytics. Digital decisioning is an approach that ensures your systems act intelligently on your behalf, making precise, consistent, real-time decisions at every customer touchpoint. Audio on our YouTube Channel: https://youtu.be/cGxPYnE5PTM

Improve your Process Models by Modeling Decisions

Decision Management Solutions

Business analysts know that modeling business processes, rather than writing about them, defines them more accurately. Business process models make it easier to validate requirements, easier to see opportunities for improvement and easier to manage the process once it is implemented. Replacing traditional specifications with logical business process models based on standard notations like BPMN improves requirements and increases the likelihood of project success. Yet over-complex processes are common. Complex process models make it harder to engage business owners and reduce the manageability of implementations. One of the prime causes of over-complex processes is the inclusion of decision-making in process designs. Business analysts that identify the decisions in their processes and model them separately – not part of the process but supporting it – find they can simplify process designs, increase agility and bring business users and IT into better alignment. With the publication of a new standard notation - OMG's Decision Model and Notation - and the inclusion of decision modeling in the BABOK, it's time for business analysts to improve their process models by modeling decisions. Key learning points: Decisions are central to straight through processing, process innovation and process effectiveness. Process models obscure decision-making and become over-complex when it is embedded A standards-based approach to decision modeling is a key technique for process analysts

Putting Predictive Analytics To Work

Decision Management Solutions

Getting started with decision discovery

Decision Management Solutions

The path to a better bottom line is paved by large numbers of operational decisions made by people, by processes and by software applications. Systematically improving each operational decision – at scale – is at the core of Decision Management. Business Architects and Analysts identify, describe and model operational decisions in Decision Discovery. In this webinar, James Taylor, CEO of Decision Management Solutions, and Dr. Juergen Pitschke, Founder and Managing Director at BCS, will show you how to get started with Decision Management on your next application development or business process improvement project with Decision Discovery. Learn how to: Identify decisions, sub-decisions and information and knowledge resources (including rules and analytics) Describe decisions in detail (Decision Tables and other Metaphors) Model decisions in a DMN-conformant decision modeling tool for communication and documentation Link to execution environments

Framing Analytic Requirements with Decision Modeling

Decision Management Solutions

DecisionsFirst Modeler and IBM ODM Demonstration

Decision Management Solutions

DecisionsFirst Modeler enables organizations to accurately specify their business using decision requirements models; structure and manage the supporting business rules; and streamline business process design. The Enterprise Edition integration with IBM ODM delivers traceability from business objectives through decision requirements to the business rules running in production. This ensures that DecisionsFirst Modeler users have full access to all the rule editing, validation, simulation, deployment and management capabilities of IBM ODM. DecisionsFirst Modeler is a collaborative decision modeling solution using the new Decision Model and Notation (DMN) standard. DecisionsFirst Modeler provides a diagram-based, business user friendly front-end to the business rules environment.

The Decision Management Manifesto Explained

Decision Management Solutions

What's hot

Analytics Teams: 5 Things You Need to Know Before You Deploy Your Model

Decision Management Solutions

3 Reasons to Adopt Decision Modeling in your BRMS Program

Decision Management Solutions

Analytics Teams: 6 Questions To Ask Your Business Partner Before You Model

Decision Management Solutions

4 Reasons to Start with Decision Modeling on Your First BRMS Project

Decision Management Solutions

DecisionsFrst Modeler and Red Hat JBoss BRMS

Decision Management Solutions

How to succeed with advanced analytics at scale

Decision Management Solutions

Case Study UMUC - Decision Modeling for Predictive Analytic Projects - Predic...

Decision Management Solutions

How to Innovate Risk Management and Customer Centricity

Decision Management Solutions

Agile and Cost Effective Compliance: Going Beyond Business Rules with Decisio...

Decision Management Solutions

Customer Decision Management - 5 Benefits

Decision Management Solutions

Extending Business Architecture with Regulatory Architecture using Decisions ...

Decision Management Solutions

Lessons Learned from the Real-life Deployment of Decision Management at Scale

Decision Management Solutions

A New Approach to Defining BI Requirements

Decision Management Solutions

Implementing analytics? You need decision modeling and business rules

Decision Management Solutions

Bringing clarity to analytics projects with decision modeling: a leading prac...

Decision Management Solutions

Introduction to Digital Decisioning

Decision Management Solutions

Improve your Process Models by Modeling Decisions

Decision Management Solutions

Putting Predictive Analytics To Work

Decision Management Solutions

Getting started with decision discovery

Decision Management Solutions

Framing Analytic Requirements with Decision Modeling

Decision Management Solutions

What's hot (20)

Analytics Teams: 5 Things You Need to Know Before You Deploy Your Model

3 Reasons to Adopt Decision Modeling in your BRMS Program

Analytics Teams: 6 Questions To Ask Your Business Partner Before You Model

4 Reasons to Start with Decision Modeling on Your First BRMS Project

DecisionsFrst Modeler and Red Hat JBoss BRMS

How to succeed with advanced analytics at scale

Case Study UMUC - Decision Modeling for Predictive Analytic Projects - Predic...

How to Innovate Risk Management and Customer Centricity

Agile and Cost Effective Compliance: Going Beyond Business Rules with Decisio...

Customer Decision Management - 5 Benefits

Extending Business Architecture with Regulatory Architecture using Decisions ...

Lessons Learned from the Real-life Deployment of Decision Management at Scale

A New Approach to Defining BI Requirements

Implementing analytics? You need decision modeling and business rules

Bringing clarity to analytics projects with decision modeling: a leading prac...

Introduction to Digital Decisioning

Improve your Process Models by Modeling Decisions

Putting Predictive Analytics To Work

Getting started with decision discovery

Framing Analytic Requirements with Decision Modeling

Similar to What is a claims handling pilot?

DecisionsFirst Modeler and IBM ODM Demonstration

Decision Management Solutions

The Decision Management Manifesto Explained

Decision Management Solutions

The Value of Predictive Analytics and Decision Modeling

Decision Management Solutions

Enterprise policy-management

Amit Bhargava

Decision Management & Cloud as a Platform for Predictive Analytics

Decision Management Solutions

Artificial Intelligence and Analytic Ops to Continuously Improve Business Out...

DataWorks Summit

The time for enterprises to gain market advantage through Artificial Intelligence is now. Already many AI-enabled advances are transforming business processes and customer experiences, but the vast majority of AI-enhanced use cases are still to be discovered, developed, and deployed. In order to discover and capture the value available through deployed AI, new deep learning techniques are the focus of feverish research and development in academia and business. However, even successful AI experiments are often never deployed to business operations, resulting in wasted effort, time, and money, and leaving businesses dangerously exposed to competitors that have integrated AI into their ongoing operations. Experimentation with AI is essential to realizing the promise of AI, but enterprises face substantial risks that their experiments with AI, even successful ones, will do nothing to improve their business outcomes. We present a framework, inspired by DevOps practices used by software engineers to continuously incorporate new ideas and improvements into applications, that de-risks investments in AI by providing a reliable channel for pipelining successful AI experiments and development into continuously deployed and monitored operational analytics. Speaker Nick Switanek, Marketing Director of Artificial Intelligence, Teradata

DGIQ 2018 Presentation: How to be successful in the post GDPR landscape – bui...

DATUM LLC

This was presented on June 13, 2018 at the DGIQ Conference. May 25th isn’t the end of a journey, it’s really just the beginning. GDPR is one piece of the compliance puzzle. One of the most important things to remember about GDPR is that it’s not a one off compliance effort. It is a continuous process that will need to be continually evaluated and evolved over time. In order to be successful long term, a strategy must be built across all functions in the organization. Join us to learn how to build a strategy that will help you identify and link GDPR related processes, rules, standards and metrics to your organization's compliance goals and objectives to meet the new regulatory landscape. In this session, Jonathan will highlight how to develop processes and controls to build a strategy that ensure that the information being utilized is compliant, accessible, and manageable.

BRMS – Power of Business Agility

JK Tech

Unveiling Strategic Trends in Global Finance, Banking, and Insurance - IT Ex...

Enterprise Management Associates

Based on the IT Executive Survey 2023 fielded by leading IT analyst research firm EMA and global analytics software firm FICO, these slides explore key trends and opportunities shaping the technology landscape in the global banking, finance, and insurance industries. It will also examine how technology executives are aligning with their business counterparts to drive strategic outcomes. You will also learn more about: - Top technology-related priorities for banks and insurers, along with strategies to address significant challenges. - Changing technology buying behavior and considerations for selecting new technology solutions. - Strategies for maximizing the value of data and AI investments within enterprises. - The benefits of a unified platform approach and its impact on other initiatives, such as cloud adoption and legacy modernization.

How big sky optimizes decisions

John Dillard

Preview: 3 Steps to Monitoring in a Connected Enterprise

xMatters Inc

Intelligent regulatory affairs operations drive growth and compliance

Genpact Ltd

Effective Strategic Decision Making

Kim Parker

Importance of decisions OMG

Decision Management Solutions

Building a Strategy customers and Auditors Love

jadams6

How to be Successful in the Post GDPR Landscape – Building a Strategy Customers & Auditors Love May 25th isn’t the end of a journey, it’s really just the beginning. GDPR is one piece of the compliance puzzle. One of the most important things to remember about GDPR is that it’s not a one off compliance effort. It is a continuous process that will need to be continually evaluated and evolved over time. In order to be successful long term, a strategy must be built across all functions in the organization. Join us to learn how to build a strategy that will help you identify and link GDPR related processes, rules, standards and metrics to your organization's compliance goals and objectives to meet the new regulatory landscape. In this session, Jonathan will highlight how to develop processes and controls to build a strategy that ensure that the information being utilized is compliant, accessible, and manageable. He will conclude with a brief demo of DATUM’s Information Value Management® and share best practices and actionable takeaways to help inspire you to build a strategy both your customers and auditors will love.

Six Sigma Improvement Process: Transforming Processes, Elevating Performance

Operational Excellence Consulting

[To download this presentation, visit: https://www.oeconsulting.com.sg/training-presentations] Six Sigma is a data-driven approach to process improvement that seeks to identify and eliminate defects or variations in processes to improve efficiency and quality. It is a methodology that focuses on understanding customer needs, measuring current performance, analyzing data to identify root causes of problems, improving processes, and controlling future performance to ensure sustained improvement. The benefits of Six Sigma are far-reaching, impacting various industries including manufacturing, healthcare, finance, and service industries. By implementing Six Sigma, organizations can expect to see improvements in customer satisfaction, cost reduction, increased efficiency, and enhanced employee engagement. This Six Sigma Improvement Process PPT presentation is tailored for senior executives, decision-makers, and key stakeholders who are assessing and planning to launch a Six Sigma program. It is also beneficial for management and staff seeking education on key concepts, principles, and the Six Sigma DMAIC approach to process improvement. Additionally, trainers and facilitators looking to enhance the learning experience with professionally developed training materials by certified Lean Six Sigma Black Belts will find this presentation valuable. This presentation provides a comprehensive overview of the Six Sigma Improvement Process, offering insights and strategies for organizations to achieve excellence in their operations. Whether you are just beginning your Six Sigma journey or looking to enhance your existing program, this presentation is an essential resource for driving impactful and sustainable change within your organization. LEARNING OBJECTIVES 1. Understand key Six Sigma concepts and principles for continuous improvement. 2. Apply Six Sigma tools and DMAIC methodology to solve business problems. 3. Identify key roles and responsibilities in Six Sigma projects and understand project selection and management for maximizing benefits. 4. Identify the critical success factors for successful Six Sigma implementation. CONTENTS 1. Overview of Six Sigma 2. Key Concepts of Six Sigma 3. Critical to Quality (CTQ) 4. Six Sigma Methodologies 5. Six Sigma Toolkit 6. Organizing for Six Sigma 7. Project Selection and Management 8. Critical Success Factors

How Finance Leaders are Transforming P2P into a High Value Process

Tradeshift

Eliminate Workload Automation Guess Work with Machine Learning

Enterprise Management Associates

How to Achieve Measurable Benefits Through Project and Organizational Change

Pactera_US

Is your organization realizing expected benefits from projects? Is there a process in place to measure results? Watch this webinar and learn: - The financial, technical and process benefits of executing projects correctly - How to measure benefits from changes - Critical factors to consider before beginning a project This webinar is a must view for business leaders and project managers responsible for ensuring the success of projects.

The Business Case for SaaS Analytics for Salesforce.com

Darren Cunningham

Similar to What is a claims handling pilot? (20)

DecisionsFirst Modeler and IBM ODM Demonstration

The Decision Management Manifesto Explained

The Value of Predictive Analytics and Decision Modeling

Enterprise policy-management

Decision Management & Cloud as a Platform for Predictive Analytics

Artificial Intelligence and Analytic Ops to Continuously Improve Business Out...

DGIQ 2018 Presentation: How to be successful in the post GDPR landscape – bui...

BRMS – Power of Business Agility

Unveiling Strategic Trends in Global Finance, Banking, and Insurance - IT Ex...

How big sky optimizes decisions

Preview: 3 Steps to Monitoring in a Connected Enterprise

Intelligent regulatory affairs operations drive growth and compliance

Effective Strategic Decision Making

Importance of decisions OMG

Building a Strategy customers and Auditors Love

Six Sigma Improvement Process: Transforming Processes, Elevating Performance

How Finance Leaders are Transforming P2P into a High Value Process

Eliminate Workload Automation Guess Work with Machine Learning

How to Achieve Measurable Benefits Through Project and Organizational Change

The Business Case for SaaS Analytics for Salesforce.com

Recently uploaded

De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...

Product School

FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf

FIDO Alliance

UiPath Test Automation using UiPath Test Suite series, part 4

DianaGray10

Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap. The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies. Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques What will you get from this session? 1. Insights into SAP testing best practices 2. Heatmap utilization for testing 3. Optimization of testing processes 4. Demo Topics covered: Execution from the test manager Orchestrator execution result Defect reporting SAP heatmap example with demo Speaker: Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP

FIDO Alliance Osaka Seminar: FIDO Security Aspects.pdf

FIDO Alliance

To Graph or Not to Graph Knowledge Graph Architectures and LLMs

Paul Groth

JMeter webinar - integration with InfluxDB and Grafana

RTTS

Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application. In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics. Length: 30 minutes Session Overview ------------------------------------------- During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana: - What out-of-the-box solutions are available for real-time monitoring JMeter tests? - What are the benefits of integrating InfluxDB and Grafana into the load testing stack? - Which features are provided by Grafana? - Demonstration of InfluxDB and Grafana using a practice web application To view the webinar recording, go to: https://www.rttsweb.com/jmeter-integration-webinar

GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...

James Anderson

Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management. The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM). Speakers: Bob Boule Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle. Gopinath Rebala Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.

Essentials of Automations: Optimizing FME Workflows with Parameters

Safe Software

Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place. Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects. Here’s what you’ll gain: - Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows. - Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy. - Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency. - Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity. We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic. Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.

The Future of Platform Engineering

Jemma Hussein Allen

Connector Corner: Automate dynamic content and events by pushing a button

DianaGray10

Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to: Create a campaign using Mailchimp with merge tags/fields Send an interactive Slack channel message (using buttons) Have the message received by managers and peers along with a test email for review But there’s more: In a second workflow supporting the same use case, you’ll see: Your campaign sent to target colleagues for approval If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team But—if the “Reject” button is pushed, colleagues will be alerted via Slack message Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors. And... Speakers: Akshay Agnihotri, Product Manager Charlie Greenberg, Host

GraphRAG is All You need? LLM & Knowledge Graph

Guy Korland

Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs. 1. Unifying Large Language Models and Knowledge Graphs: A Roadmap. https://arxiv.org/abs/2306.08302 2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs: https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/

Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered Quality

Inflectra

In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring. Learn about: • The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks. • Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective. • Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification. • Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process. Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.

GenAISummit 2024 May 28 Sri Ambati Keynote: AGI Belongs to The Community in O...

Sri Ambati

"Impact of front-end architecture on development cost", Viktor Turskyi

Fwdays

I have heard many times that architecture is not important for the front-end. Also, many times I have seen how developers implement features on the front-end just following the standard rules for a framework and think that this is enough to successfully launch the project, and then the project fails. How to prevent this and what approach to choose? I have launched dozens of complex projects and during the talk we will analyze which approaches have worked for me and which have not.

LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...

DanBrown980551

Do you want to learn how to model and simulate an electrical network from scratch in under an hour? Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)! During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook. PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides: - A fully editable and extendable library for grid component modelling; - Visualization tools to display your network; - Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses; The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well. What you will learn during the webinar: - For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills; - For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.

Transcript: Selling digital books in 2024: Insights from industry leaders - T...

BookNet Canada

The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more. Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/ Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.

State of ICS and IoT Cyber Threat Landscape Report 2024 preview

Prayukth K V

The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development. The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers: State of global ICS asset and network exposure Sectoral targets and attacks as well as the cost of ransom Global APT activity, AI usage, actor and tactic profiles, and implications Rise in volumes of AI-powered cyberattacks Major cyber events in 2024 Malware and malicious payload trends Cyberattack types and targets Vulnerability exploit attempts on CVEs Attacks on counties – USA Expansion of bot farms – how, where, and why In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East Why are attacks on smart factories rising? Cyber risk predictions Axis of attacks – Europe Systemic attacks in the Middle East Download the full report from here: https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/

PHP Frameworks: I want to break free (IPC Berlin 2024)

Ralf Eggert

In this presentation, we examine the challenges and limitations of relying too heavily on PHP frameworks in web development. We discuss the history of PHP and its frameworks to understand how this dependence has evolved. The focus will be on providing concrete tips and strategies to reduce reliance on these frameworks, based on real-world examples and practical considerations. The goal is to equip developers with the skills and knowledge to create more flexible and future-proof web applications. We'll explore the importance of maintaining autonomy in a rapidly changing tech landscape and how to make informed decisions in PHP development. This talk is aimed at encouraging a more independent approach to using PHP frameworks, moving towards a more flexible and future-proof approach to PHP development.

Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf

91mobiles

DevOps and Testing slides at DASA Connect

Kari Kakkonen

Recently uploaded (20)

De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...

FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf

UiPath Test Automation using UiPath Test Suite series, part 4

FIDO Alliance Osaka Seminar: FIDO Security Aspects.pdf

To Graph or Not to Graph Knowledge Graph Architectures and LLMs

JMeter webinar - integration with InfluxDB and Grafana

GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...

Essentials of Automations: Optimizing FME Workflows with Parameters

The Future of Platform Engineering

Connector Corner: Automate dynamic content and events by pushing a button

GraphRAG is All You need? LLM & Knowledge Graph

Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered Quality

GenAISummit 2024 May 28 Sri Ambati Keynote: AGI Belongs to The Community in O...

"Impact of front-end architecture on development cost", Viktor Turskyi

LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...

Transcript: Selling digital books in 2024: Insights from industry leaders - T...

State of ICS and IoT Cyber Threat Landscape Report 2024 preview

PHP Frameworks: I want to break free (IPC Berlin 2024)

Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf

DevOps and Testing slides at DASA Connect

What is a claims handling pilot?

1. @jamet123 #decisionmgt © 2018 Decision Management Solutions 1 What is a Claims Handling Pilot?  Demonstrate faster, more accurate claims handling  Engage all your stakeholders  Identify and prove the technology involved  Develop a plan for implementation

3. @jamet123 #decisionmgt © 2018 Decision Management Solutions 3 Your Goals  Demonstrate faster, more accurate claims handling  Engage all your stakeholders  Identify and prove the technology involved  Develop a plan for implementation

5. @jamet123 #decisionmgt © 2018 Decision Management Solutions 5 A Pilot Is Key To Next Best Action Success  Engages business stakeholders  Demonstrates value to technical stakeholders  Creates a believable future state  Proves transparency, agility and control upgrade  Readily extends to production - not a throw away

6. @jamet123 #decisionmgt © 2018 Decision Management Solutions 6 Develop a decision model Develop rules and analytics Deliver a working service Deliver decision-centric dashboard Claims Handling Pilot Plan

7. @jamet123 #decisionmgt © 2018 Decision Management Solutions 7 For a Successful Pilot Deliver These 5 Critical Elements Impact Analysis Business Rules Continuous Improvement Risk and Fraud Analytics Decision Model

9. @jamet123 #decisionmgt © 2018 Decision Management Solutions 9 Demonstrate Technical Value  Persuade IT  Control  Integration  Persuade Analytics  Operationalization  Deployment options Analytical Models NeuralRules Business Rules

10. @jamet123 #decisionmgt © 2018 Decision Management Solutions 10 Show Future Operational Environment  From  One-Time Change  Deployment Risk  Lack of Control  To  Continuous Improvement  Incremental Change  Impact Analysis First

11. @jamet123 #decisionmgt © 2018 Decision Management Solutions 11 Prove Transparency, Agility, Control  Help The Business  See decisions made  Determine business impact  Propose rule changes  Test and validate changes  Simulate impact  Make Changes

12. @jamet123 #decisionmgt © 2018 Decision Management Solutions 12 Define A Path To Production  Reuse pilot components  Clear next steps  Complete the model  Integrate with production data  Test and learn  Agile, iterative development

13. @jamet123 #decisionmgt © 2018 Decision Management Solutions 13 The Destination: Consistent Agile Claims Handling External Data Big Data Business Rules Continuous Improvement Analytics and AI Chabot, Web or Claim Agents Consistent decision-making Enforce policies Apply predictive analytics Learn, Adapt, Improve

14. @jamet123 #decisionmgt © 2018 Decision Management Solutions 14 SUMMARY ▶ Benefits ▶ Engages business stakeholders ▶ Demonstrates value to technical stakeholders ▶ Creates a believable future state for the organization ▶ Proves transparency, agility and control can be improved ▶ Readily extends to production - not a throw away ▶ Schedule ▶ 10-12 week project Impact Analysis Business Rules Continuous Improvement Risk and Fraud Analytics Decision Model

15. @jamet123 #decisionmgt © 2018 Decision Management Solutions 15 Your Questions ▶ James Taylor, CEO ▶ james@decisionmanagementsolutions.com ▶ +1 650 400 3029 ▶ @jamet123 Enter questions for the Q&A here

16. @jamet123 #decisionmgt © 2018 Decision Management Solutions 16 Thank You  More resources for success with Claims  http://bit.ly/DMSClaims Decision Management Solutions works with clients to improve their business by applying business rules & analytic technology to automate & improve decisions. We can help you pilot a custom claims handling solution for your business.

What is a claims handling pilot?

Recommended

Recommended

More Related Content

What's hot

What's hot (20)

Similar to What is a claims handling pilot?

Similar to What is a claims handling pilot? (20)

Recently uploaded

Recently uploaded (20)

What is a claims handling pilot?