There’s already a pervasive culture of change in the insurance industry. The quest for efficiency gains is a major driver, along with the need to keep pace with evolving consumer expectations and investment in new digital technologies. Robotic process automation (RPA) is a natural fit in this new environment because change can be delivered with speed and agility to realize benefits quickly. Further, RPA can automate the end to end lifecycle by integrating new front end digital technologies with back office environments.
Many insurers have set out on the journey of robotic process automation. In most cases, this has meant running pilots on simple business processes before scaling up to deliver more material benefits through an industrialized automation capability. Our experience shows that a holistic and integrated approach to these implementations is essential.
RPA Is Just the Start: How Insurers Can Develop a Successful Intelligent Proc...Cognizant
From property and casualty, through life and annuity, insurers of all stripes need to transcend task-based robotic process automation and holistically embrace more powerful intelligent process automation to improve their performance in today’s growth-challenged marketplace.
According to the Recent survey of Global Outsourcing, about 53% of companies reportedly outsourced taxing functions, while 42% of them outsourced other financing or budgeting tasks.
https://www.raybiztech.com/blog/general/ai-robotic-process-automation-transform-finance
UiPath: Insurance in the Age of Intelligent AutomationUiPath
This paper will explain what benefits Robotic Process Automation (RPA) brings to the Insurance industry, how
it tackles the most sensitive pain points and offers guidelines on
building a successful RPA capability.
Real uses cases will illustrate how other companies developed their RPA deployments. You will also find out what’s in store
for intelligent process automation (IPA), as AI and cognitive tools merge with RPA.
Finally, the paper will demonstrate that insurers must catch the RPA train before it is too late if they want to stay relevant in an ever so challenging and rapidly evolving market.
Robotic process automation powers digital transformation in insurance industryArtivatic.ai
The era of robotic process automation (RPA) coupled with deep learning is here. From back-office functions to customer solutions, it has effectively turned processes around on their heads. Leading banks, hedge funds, and asset managers have successfully leveraged RPA tools not only to streamline standard processes but also to save money significantly.
There’s already a pervasive culture of change in the insurance industry. The quest for efficiency gains is a major driver, along with the need to keep pace with evolving consumer expectations and investment in new digital technologies. Robotic process automation (RPA) is a natural fit in this new environment because change can be delivered with speed and agility to realize benefits quickly. Further, RPA can automate the end to end lifecycle by integrating new front end digital technologies with back office environments.
Many insurers have set out on the journey of robotic process automation. In most cases, this has meant running pilots on simple business processes before scaling up to deliver more material benefits through an industrialized automation capability. Our experience shows that a holistic and integrated approach to these implementations is essential.
RPA Is Just the Start: How Insurers Can Develop a Successful Intelligent Proc...Cognizant
From property and casualty, through life and annuity, insurers of all stripes need to transcend task-based robotic process automation and holistically embrace more powerful intelligent process automation to improve their performance in today’s growth-challenged marketplace.
According to the Recent survey of Global Outsourcing, about 53% of companies reportedly outsourced taxing functions, while 42% of them outsourced other financing or budgeting tasks.
https://www.raybiztech.com/blog/general/ai-robotic-process-automation-transform-finance
UiPath: Insurance in the Age of Intelligent AutomationUiPath
This paper will explain what benefits Robotic Process Automation (RPA) brings to the Insurance industry, how
it tackles the most sensitive pain points and offers guidelines on
building a successful RPA capability.
Real uses cases will illustrate how other companies developed their RPA deployments. You will also find out what’s in store
for intelligent process automation (IPA), as AI and cognitive tools merge with RPA.
Finally, the paper will demonstrate that insurers must catch the RPA train before it is too late if they want to stay relevant in an ever so challenging and rapidly evolving market.
Robotic process automation powers digital transformation in insurance industryArtivatic.ai
The era of robotic process automation (RPA) coupled with deep learning is here. From back-office functions to customer solutions, it has effectively turned processes around on their heads. Leading banks, hedge funds, and asset managers have successfully leveraged RPA tools not only to streamline standard processes but also to save money significantly.
Leverage cutting edge cognitive automation ml and rpa to elevate business valueEclature
Automation is revolutionizing the way business functions are conducted. Together with artificial intelligence (AI) and robotics, automating events, processes and tasks offer cross-enterprise IT visibility that results in improved productivity and superior user experiences.
In the digitised world of 2021, hyperautomation has enabled global businesses to function and process with technological innovations. Hyperautomation is a tool that requires human intervention to manage tasks efficiently. Once interpreted, the AI uses its other tools using RPA and analytics to deliver a great deal of value to the business. The primary benefit of hyperautomation is in the word itself; automation at a fast and accurate rate maximising workforce productivity, reducing risks and consumer satisfaction at its core.
Automation Technology Series: Part 2: Intelligent automation: Driving efficie...Accenture Insurance
5 Shares
Advances in digital technologies are transforming the way insurance companies operate and how they serve their customers. Automation of previously manual processes is a key element of this transformation, and is critical to driving greater efficiency and a superior customer experience.
Robotic process automation (RPA)—the use of software to mimic the actions a person would perform on a PC—can deliver significant benefits to insurers and can be implemented without complex system integrations. A successful RPA implementation can yield a 40 to 80 percent reduction in processing costs, and up to an 80 percent reduction in processing time.
In the first edition of Connections, we talk about the Trends you can expect in the BPO industry and the Allsec-Kronos Partnership. We also discuss the impending possibility of RPA in your Accounts Payable process.
Robotic Process Automation for Financial ServicesAppian
Robotic Process Automation (RPA) is emerging as a cost-effective technique to get work done in Financial Services Institutions (FSIs).
With the advent of RPA, executives should reconsider how they manage organizational business processes and support information technology.
Learn more about robotic process automation and the transformation continuum in this executive perspective: http://ap.pn/2jYWrMG
How to get RPA initiative work beyond proof of concept?Abhinav Singhal
Global RPA market grew by 63% in 2018 and is expected to
reach USD 1.3 billion in 2019. Telecom and IT sector
being the biggest adopter, followed by the banking,
financial services, and insurance industries, and retail
and consumer goods.
However, as companies try to scale beyond the
proof of concept the momentum starts decreasing.
Installing hundreds of bots takes a lot longer and is
more complex than the initial pilot. It introduces an
additional architecture layer into the system, requiring
more governance, security, and oversight by the IT
organization, already burdened with maintaining legacy
systems. The economic outcomes often aren’t as rosy as
originally projected. While it may be possible to automate
30 percent of tasks for the majority of occupations, that
doesn’t neatly translate into a 30 percent cost reduction.
People do many different things, and bots may only
address some of them. Unless the process and the organization are also aligned true efficiencies don’t kick in. Also, asking
operators to program bots that could take their jobs can understandably create high resistance at the front line.
As a result, several programs get put on hold beyond the pilot stage. So, what is the recipe for a successful rollout and
implementation?
Business Benefits of Robotic Process AutomationZaranTech LLC
RPA - UiPath Training & Certification provided Online from USA industry expert trainers with real time project experience
RPA - UiPath Tutorial for Beginners | Learn RPA - UiPath Online | RPA-UiPath Training - This is a video recording of a Live Webinar presentation by our Sr. RPA Trainer.
Get More Free Videos - Subscribe ➜ https://goo.gl/5ZqDML
COURSE PAGE: https://www.zarantech.com/rpa-uipath-training/
REGISTER FOR FREE LIVE DEMO: https://promo.zarantech.com/free-webinar-rpa-uipath/
CONTACT: +1 (515) 309-7846 (or) Email - info@zarantech.com
"RPA UiPath tutorial"
"free RPA UiPath training"
"online RPA UiPath training"
"Best RPA UiPath training"
"RPA UiPath training for Beginners"
"Best RPA UiPath Training"
Reviews / Testimonials from past trainees are saying: https://goo.gl/ZVfnE4
Refer your friends to ZaranTech - http://www.zarantech.com/be-a-friend-tell-a-friend.
Robotics Process Automation Use Cases.pdfLaura Miller
After the pandemic hit, the digital transformation took over the business industry. RPA has also emerged as a technological breakthrough for companies.
Robotic Process Automation can help businesses automate their workflows and operations and increase productivity.
According to Forrester Research, the RPA market will be worth $2.9 billion by 2021. By adopting RPA technology, businesses can increase their efficiency and stay ahead of their competitors.
RPA can be utilized to streamline and automate repetitive, mundane, and time-consuming tasks. All sorts of industries can implement RPA and eliminate the risks of human errors.
In this blog, we will give you in-depth information on RPA and its use cases in different industry verticals.
Deloitte global intelligent automation survey looks at the impact of COVID-19 on automation strategies and the use of cloud and automation-as-a-service to ensure scalability and rapid deployment.
accelerating digital transformation harnessing the power of robotic process a...basilmph
Robotic Process Automation (RPA) is an advanced technology that uses software robots to automate repetitive tasks, allowing human employees to focus on more strategic work. By mimicking human actions within digital systems, RPA streamlines operations, enhances efficiency, and boosts accuracy.
The main purpose of this technology is to do a job with more information and to encourage everyone in an organization to be a part of the transformation.
Talent Augmentation: Through Intelligent Process Automation, Smart Robots Ext...Cognizant
Process automation is moving from the factory floor to the world of knowledge work. But robots can't do it alone. Companies that calibrate smart people with smart machines are already achieving higher productivity and superior business results.
Companies need to complement their AI initiatives with governance that drives ethics and trust or these efforts will fall short of expectations, our latest research findings suggest.
DAAS labs has deployed RPA solutions and is official partners with Automation Anywhere and UiPath.
"Imagine the metaphorical robots automating your tedious, mundane and repetitive tasks! That's what Robotic Process Automation or RPA is."
Data & Analytics Services (DAAS Labs) is a Data & Innovation company which is transforming the way the data is acquired, curated, and consumed across enterprises.
Our key Mantra is to simplify and transform the way the decisions are made in an enterprise. We work hard so as to make lives simpler for our end clients. Our focus is to eliminate any complexities, automate monotonous activities and deliver a data architecture which enables our end users to talk, interact and make sense of the data without worrying about the data complexities and inconsistencies.
Over the past few years, we have built deep expertise in areas such as Artificial Intelligence (AI/ML), Natural Language, Computer, IoT, Data Analytics and RPA. “Getting it Done” attitude and the convergence of all these capabilities to solve a use case differentiate us from the competition.
We have worked with leading companies in sectors like
• Manufacturing
• e-commerce
• Banking & Payments
• Retail & Power
• media and Advertising
We have worked in areas like Chatbots, building control towers, Process automations, Social listening, semantic search, Predictive modelling, reporting and Dash-boarding.
Our core capabilities lie in Data Analytics, computer vision and Video AI, RPA, Natural languages or AI and Dev ops. With regard to Covid we have utilised our inherent capabilities in Video AI and computer vision along with Artificial Intelligence.
Automating the Revenue Cycle: 10 things to considerManish Jain
In this Access Healthcare white paper, we talk about 10 things to consider before investing in process automation. Written by revenue cycle practitioners, this white paper recounts some of the things to consider before jumping into RPA.
HfS Webinar Slides: Standard Bank Case Discussion - Improving Customer Experi...HfS Research
This webinar replay shares how Standard Bank transformed its onboarding process by deploying Smart Process Automation. Standard Bank’s insights will enable organizations to clearly make the case for Automation as part of their service delivery strategies.
Learn from practitioners and experts on Smart Process Automation from HfS Research, WorkFusion and Standard Bank as they share their experiences about improving business outcomes through more integrated automation technologies.
Watch this replay and learn:
How did Standard Bank approach the automation of key processes—how did the deployment work and what were the results?
What can you learn from a leading service buyer about the future of Smart Automation?
How do Cognitive Computing and Machine Learning enhance the quality and agility of service delivery?
What is the impact of Smart Automation? What are the main use cases and insights?
Watch the webinar replay: http://www.hfsresearch.com/pointsofview/hfs-webinar-standard-bank-case-discussion-improving-customer-experience-through-rpa-ai-powered
Leverage cutting edge cognitive automation ml and rpa to elevate business valueEclature
Automation is revolutionizing the way business functions are conducted. Together with artificial intelligence (AI) and robotics, automating events, processes and tasks offer cross-enterprise IT visibility that results in improved productivity and superior user experiences.
In the digitised world of 2021, hyperautomation has enabled global businesses to function and process with technological innovations. Hyperautomation is a tool that requires human intervention to manage tasks efficiently. Once interpreted, the AI uses its other tools using RPA and analytics to deliver a great deal of value to the business. The primary benefit of hyperautomation is in the word itself; automation at a fast and accurate rate maximising workforce productivity, reducing risks and consumer satisfaction at its core.
Automation Technology Series: Part 2: Intelligent automation: Driving efficie...Accenture Insurance
5 Shares
Advances in digital technologies are transforming the way insurance companies operate and how they serve their customers. Automation of previously manual processes is a key element of this transformation, and is critical to driving greater efficiency and a superior customer experience.
Robotic process automation (RPA)—the use of software to mimic the actions a person would perform on a PC—can deliver significant benefits to insurers and can be implemented without complex system integrations. A successful RPA implementation can yield a 40 to 80 percent reduction in processing costs, and up to an 80 percent reduction in processing time.
In the first edition of Connections, we talk about the Trends you can expect in the BPO industry and the Allsec-Kronos Partnership. We also discuss the impending possibility of RPA in your Accounts Payable process.
Robotic Process Automation for Financial ServicesAppian
Robotic Process Automation (RPA) is emerging as a cost-effective technique to get work done in Financial Services Institutions (FSIs).
With the advent of RPA, executives should reconsider how they manage organizational business processes and support information technology.
Learn more about robotic process automation and the transformation continuum in this executive perspective: http://ap.pn/2jYWrMG
How to get RPA initiative work beyond proof of concept?Abhinav Singhal
Global RPA market grew by 63% in 2018 and is expected to
reach USD 1.3 billion in 2019. Telecom and IT sector
being the biggest adopter, followed by the banking,
financial services, and insurance industries, and retail
and consumer goods.
However, as companies try to scale beyond the
proof of concept the momentum starts decreasing.
Installing hundreds of bots takes a lot longer and is
more complex than the initial pilot. It introduces an
additional architecture layer into the system, requiring
more governance, security, and oversight by the IT
organization, already burdened with maintaining legacy
systems. The economic outcomes often aren’t as rosy as
originally projected. While it may be possible to automate
30 percent of tasks for the majority of occupations, that
doesn’t neatly translate into a 30 percent cost reduction.
People do many different things, and bots may only
address some of them. Unless the process and the organization are also aligned true efficiencies don’t kick in. Also, asking
operators to program bots that could take their jobs can understandably create high resistance at the front line.
As a result, several programs get put on hold beyond the pilot stage. So, what is the recipe for a successful rollout and
implementation?
Business Benefits of Robotic Process AutomationZaranTech LLC
RPA - UiPath Training & Certification provided Online from USA industry expert trainers with real time project experience
RPA - UiPath Tutorial for Beginners | Learn RPA - UiPath Online | RPA-UiPath Training - This is a video recording of a Live Webinar presentation by our Sr. RPA Trainer.
Get More Free Videos - Subscribe ➜ https://goo.gl/5ZqDML
COURSE PAGE: https://www.zarantech.com/rpa-uipath-training/
REGISTER FOR FREE LIVE DEMO: https://promo.zarantech.com/free-webinar-rpa-uipath/
CONTACT: +1 (515) 309-7846 (or) Email - info@zarantech.com
"RPA UiPath tutorial"
"free RPA UiPath training"
"online RPA UiPath training"
"Best RPA UiPath training"
"RPA UiPath training for Beginners"
"Best RPA UiPath Training"
Reviews / Testimonials from past trainees are saying: https://goo.gl/ZVfnE4
Refer your friends to ZaranTech - http://www.zarantech.com/be-a-friend-tell-a-friend.
Robotics Process Automation Use Cases.pdfLaura Miller
After the pandemic hit, the digital transformation took over the business industry. RPA has also emerged as a technological breakthrough for companies.
Robotic Process Automation can help businesses automate their workflows and operations and increase productivity.
According to Forrester Research, the RPA market will be worth $2.9 billion by 2021. By adopting RPA technology, businesses can increase their efficiency and stay ahead of their competitors.
RPA can be utilized to streamline and automate repetitive, mundane, and time-consuming tasks. All sorts of industries can implement RPA and eliminate the risks of human errors.
In this blog, we will give you in-depth information on RPA and its use cases in different industry verticals.
Deloitte global intelligent automation survey looks at the impact of COVID-19 on automation strategies and the use of cloud and automation-as-a-service to ensure scalability and rapid deployment.
accelerating digital transformation harnessing the power of robotic process a...basilmph
Robotic Process Automation (RPA) is an advanced technology that uses software robots to automate repetitive tasks, allowing human employees to focus on more strategic work. By mimicking human actions within digital systems, RPA streamlines operations, enhances efficiency, and boosts accuracy.
The main purpose of this technology is to do a job with more information and to encourage everyone in an organization to be a part of the transformation.
Talent Augmentation: Through Intelligent Process Automation, Smart Robots Ext...Cognizant
Process automation is moving from the factory floor to the world of knowledge work. But robots can't do it alone. Companies that calibrate smart people with smart machines are already achieving higher productivity and superior business results.
Companies need to complement their AI initiatives with governance that drives ethics and trust or these efforts will fall short of expectations, our latest research findings suggest.
DAAS labs has deployed RPA solutions and is official partners with Automation Anywhere and UiPath.
"Imagine the metaphorical robots automating your tedious, mundane and repetitive tasks! That's what Robotic Process Automation or RPA is."
Data & Analytics Services (DAAS Labs) is a Data & Innovation company which is transforming the way the data is acquired, curated, and consumed across enterprises.
Our key Mantra is to simplify and transform the way the decisions are made in an enterprise. We work hard so as to make lives simpler for our end clients. Our focus is to eliminate any complexities, automate monotonous activities and deliver a data architecture which enables our end users to talk, interact and make sense of the data without worrying about the data complexities and inconsistencies.
Over the past few years, we have built deep expertise in areas such as Artificial Intelligence (AI/ML), Natural Language, Computer, IoT, Data Analytics and RPA. “Getting it Done” attitude and the convergence of all these capabilities to solve a use case differentiate us from the competition.
We have worked with leading companies in sectors like
• Manufacturing
• e-commerce
• Banking & Payments
• Retail & Power
• media and Advertising
We have worked in areas like Chatbots, building control towers, Process automations, Social listening, semantic search, Predictive modelling, reporting and Dash-boarding.
Our core capabilities lie in Data Analytics, computer vision and Video AI, RPA, Natural languages or AI and Dev ops. With regard to Covid we have utilised our inherent capabilities in Video AI and computer vision along with Artificial Intelligence.
Automating the Revenue Cycle: 10 things to considerManish Jain
In this Access Healthcare white paper, we talk about 10 things to consider before investing in process automation. Written by revenue cycle practitioners, this white paper recounts some of the things to consider before jumping into RPA.
HfS Webinar Slides: Standard Bank Case Discussion - Improving Customer Experi...HfS Research
This webinar replay shares how Standard Bank transformed its onboarding process by deploying Smart Process Automation. Standard Bank’s insights will enable organizations to clearly make the case for Automation as part of their service delivery strategies.
Learn from practitioners and experts on Smart Process Automation from HfS Research, WorkFusion and Standard Bank as they share their experiences about improving business outcomes through more integrated automation technologies.
Watch this replay and learn:
How did Standard Bank approach the automation of key processes—how did the deployment work and what were the results?
What can you learn from a leading service buyer about the future of Smart Automation?
How do Cognitive Computing and Machine Learning enhance the quality and agility of service delivery?
What is the impact of Smart Automation? What are the main use cases and insights?
Watch the webinar replay: http://www.hfsresearch.com/pointsofview/hfs-webinar-standard-bank-case-discussion-improving-customer-experience-through-rpa-ai-powered
Similar to Accenture-Robotic-Process-Automation.pdf (20)
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
Essentials of Automations: Optimizing FME Workflows with ParametersSafe 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.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
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.
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Generating a custom Ruby SDK for your web service or Rails API using Smithyg2nightmarescribd
Have you ever wanted a Ruby client API to communicate with your web service? Smithy is a protocol-agnostic language for defining services and SDKs. Smithy Ruby is an implementation of Smithy that generates a Ruby SDK using a Smithy model. In this talk, we will explore Smithy and Smithy Ruby to learn how to generate custom feature-rich SDKs that can communicate with any web service, such as a Rails JSON API.
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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
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Cyber risk predictions
Axis of attacks – Europe
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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.
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- 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.
3. Robotic Process Automation programmes can
deliver major benefits to insurance operations.
But a more holistic approach will allow
insurers to realise its full potential.
Many insurers have set out on the journey of robotic process automation
(RPA). In most cases, this has meant running pilots on simple business
processes before scaling up to deliver more material benefits through an
industrialised automation capability. Our experience shows that a holistic
and integrated approach to these implementations is essential.
2
5. The wider benefits of RPA
Insurers face a common challenge: how can they build
responsive, high-growth businesses while optimising
cost? This is where RPA can make all the difference.
RPA is an emerging technology trend that can emulate
transactional, administrative tasks. It works best where
the underlying processes are rules-based, repetitive
and frequent. This is why insurers are finding that it
can have a major impact in back-office functions such
as applications handling, claims processing and data
entry. In areas like these, successful programmes can
free up between 20 and 30 percent of capacity at an
enterprise level whilst also minimising operational risk
and improving the customer experience.
RPA is part of the spectrum of emerging artificial
intelligence tools, including virtual agents, machine
learning, computer vision and natural language
classification. The move to artificial intelligence
technologies can have many applications in insurance,
for example, image classification for claims and
text analytics for servicing customer queries. These
new technologies will further drive automation and
augmentation of insurance processes, however, many
will require integration with the underlying systems,
which is where RPA can also play a role.
Properly implemented, automation programmes enable
a scalable, flexible and responsive workforce that is so
essential in a digital marketplace. Freed from routine
process activities by their new automated co-workers,
back-office staff can be redeployed into front-office
roles where they can focus on complex customer
demands and generate growth. Moreover, the financial
benefits realised through RPA can be reinvested in
the emerging digital technologies that underpin
personalised customer relationships.
4
Achieving results
There’s already a pervasive culture of change in the
insurance industry. The quest for efficiency gains
is a major driver, along with the need to keep pace
with evolving consumer expectations and invest in
new digital technologies. RPA is a natural fit in this
new environment because change can be delivered
with speed and agility to realise benefits quickly.
Further, RPA can automate the end to end lifecycle by
integrating new front end digital technologies with
back office environments.
The results of these programmes have been surprisingly
encouraging. For insurers across personal and
commercial lines, RPA pilots have demonstrated
material benefits, including a 40-80 percent reduction
in processing times, along with improvements in quality
rates, auditability and operational risk management. On
the strength of this performance, management teams
are understandably eager to scale up the business
case for RPA. Urging the creation of industrialised
automation capabilities, they point to the success
of RPA programmes in other sectors of the financial
services industry where companies such as Barclays and
The Co-operative Group have used automated processes
to generate capacity of up to 200 full-time employees
across Operations.
Scalable benefits like these are certainly within reach
when a holistic approach is taken. Not all processes
are suitable candidates for automation, which means
the business case for RPA cannot simply be scaled up
enterprise-wide. More broadly, approaches that seek to
build a robotic capability in isolation often encounter
significant challenges in governance, sponsorship,
stakeholder buy-in, integration with IT architecture and
alignment with wider business objectives.
A holistic approach to Insurance automation
The automation spectrum is rapidly changing. The rise of new artificial intelligence technologies, including virtual
agents, machine learning and natural language classification will further drive automation and augmentation of
insurance industry processes.
Automation Spectrum
Integrated
Desktop
Consolidating data from
multiple sources into a single
view to complete a process.
01 Machine Learning
Systems that gain knowledge
from data as “experience”
and apply what is learnt in
upcoming situations.
04
Robotic Process
Automation
Applying technology
to manipulate existing
application software to
complete a process.
02 Digital Assistants
Interactive characters
with human-like traits and
communication styles able
to answer questions and
perform business processes.
03
6. The right solution,
for the right process
Instead of rushing to quickly deliver benefits through
RPA, organisations that experience the greatest success
tend to follow a more structured and holistic approach.
They take time to understand the nature of the tasks
that people are currently performing and they analyse
process characteristics to identify which of those tasks
are the most repetitive, manually intensive and rules-
based – and, therefore, suitable candidates
for automation.
Where Operations processes are more mature, higher
volume, lower complexity or with structured data
inputs, automation programmes can scale more quickly
with less need for enablers and process simplification.
However, in Operations where processes are less
mature, lower volume, more complex or with
unstructured data inputs, leaders recognise that it’s
unrealistic to apply RPA across the entire business
process landscape. When they assess processes, they’re
not just asking “Can we?”; they’re also asking
“Should we?”
5
In these environments, RPA has a role to play
alongside digital tools, optical character recognition
(OCR), business process management (BPM) and
Lean Six Sigma. Tackling unstructured data, digitising
paper correspondence and simplifying processes are
all essential to successfully automating the right
insurance processes. RPA is one tool within the process
improvement toolkit.
In one UK life and pensions organisation, a diagnostic
to identify improvement opportunities revealed that
20 percent were suitable for tactical automation on a
stand-alone basis. However, the remaining 80 percent
required either automation enablers (such as OCR
technology and e-forms) or would be better addressed
through low-cost system enhancement and business
process re-engineering.
“When they assess
processes, they’re not just
asking, can we? They’re
also asking, should we?”
7. 6
A holistic approach to Insurance automation
Taking a strategic approach
As well as targeting processes most suited to
automation, successful automation programmes are
driven through a measured, top-down approach.
Rather than rapidly developing an isolated robotics
capability, these programmes allow enough time to
identify and answer key strategic questions in respect
of programme governance, roles, sponsorship and
alignment with the business and IT change framework.
This has some clear advantages. As RPA programmes
gain traction, they will inevitably impact existing
capabilities and change initiatives across Operations
and IT, and compete for scarce resource.
An RPA capability could feasibly reside within
Operations, IT or a Shared Services organisation.
Regardless of where the capability is developed,
a collaborative approach between Operations
and IT is essential. It is critical that the business
provide sponsorship and insight to identify the right
opportunities, that IT provides architectural oversight to
ensure tactical automation is the optimal solution and
that the overall delivery framework enables changes to
be made in an agile but controlled manner.
Furthermore, the importance of maintaining and
changing robots in BAU is often overlooked. Like any
workforce, robots require productivity measurement,
reporting against SLAs and continuous improvement.
Operations retain responsibility for exception handling
and become the agents of change to reduce failures.
IT, on the other hand, need to maintain the technical
infrastructure and ensure the virtual workforce keeps
on working.
By ensuring a consistent approach across Operations
and IT, RPA implementations with top-level sponsorship
avoid clashes with other change programmes, ensure
focus on delivering business priorities, and secure the
critical business analysis and IT skills needed to deliver
and maintain the automation programme.
Underwriting
& Pricing
• Data entry for
clearance and
registration
processes
• Update systems
and produce client
information
• Gather information
from various systems
and generate a
renewal premium
• Automate updates to
personal details and
bank account details
• Reject or cancel a
policy if a payment
has not been made
with 21 days
• Identify policy
premium
discrepancies and
reconcile if required
Insurance Process Automation
Processes which are manually intensive, repetitive and require few judgement-based decisions are more suitable for
automation. Specifically, we’ve seen leading insurers experience major benefits from automating activities across the
end-to-end value chain.
• Create sales
scorecards to push
notifications to
agents
• Conduct compliance,
legal and credit
checks
• Paper or online
account maintenance
not currently
supported by straight
through processing
Sales &
Distribution
Policy Admin
& Servicing
• Automate daily bank
reconciliations
• Process low-
risk money out
transactions
Finance
& Accounts
• Process claims bulk
payments with pre-
approved expense
amounts
• Automate manual
assignments to
claims handlers,
input FNOL
submissions into
various systems
• Automate
notification
to loss adjusters
Claims
“The importance of
maintaining and
changing robots in BAU
is often overlooked.”
8. 7
The Future of Energy Trading
Understanding the
impact on talent
While insurers’ workforces are by now accustomed to
participating in change programmes, the introduction
of automation can have a more fundamental impact
on individual roles and responsibilities. For front-
office teams, it’s most likely to be viewed as a positive
development, with real benefits for the customer
experience and improved efficiency of administrative
tasks. However, it’s in the middle- and back-office
operations, where RPA has the greatest potential to
automate manual activities, that uncertainty is most
likely to be created.
The impact of RPA is multi-dimensional. Operations
staff can either perceive robots as a new type of co-
worker that releases people from mundane work and
creates new, value-adding opportunities for them in the
business, or as a threat to their roles.
The impact of RPA is multi-dimensional. Operations
staff can either perceive robots as a new type of co-
worker that releases people from mundane work and
creates new, value-adding opportunities for them in
The Foundations for an Effective
Automation Programme
• Establish governance – ensure a C-suite
member is leading the automation
programme, and that there is full alignment
between the COO and CTO. Ensure the
automation programme is integrated with
other change initiatives and there is a
collaborative approach between Operations
and IT for delivering change and maintaining
in BAU.
• Define the vision and strategy – establish
a clear vision, strategy and roadmap for the
programme, and consider a broad range of
automation and process improvement tools
(not just RPA) for identifying and addressing
opportunities.
• Identify the right processes – conduct
a top-down diagnostic of end-to-end
processes, with Operations and IT, to identify
the business – smart technology empowering smart
people -, or as a threat to their roles.
There is no doubt that RPA will reduce the number of
roles in Operations teams. Insurers, therefore, need to
focus on retaining and redeploying talent to support
front-office activities or new roles created through
business growth. If RPA programmes are counter-
balanced by training that re-equips people for new
roles then they are more likely to be seen in a positive
light.
One UK based general insurer embraced this concept
when implementing a recent automation programme
(which also freed up 35 percent of capacity in one area
of the business). Management took time to understand
the impact on the people involved and invested in
making RPA integral to the overall business culture.
Where automation was introduced robots were given
names, and accepted as colleagues that helped people
to create greater business value than ever before.
opportunities which are suitable for RPA (and
whether they need to be standardised/re-
engineered in advance), and which ones are
unsuitable (judgement-based).
• Build an effective capability – establish
robust processes/tools that are aligned to the
broader business, IT and change framework,
but which enable agile delivery of tactical
changes; clarify the roles and responsibilities
and availability of resources with the right
skills.
• Plan talent impact – follow a disciplined
approach to work through the impact of
automation on traditional roles, the future
mix of onshore/offshore/outsourced roles,
and the best way to engage and secure
stakeholder buy-in.
9.
10.
11. The automation spectrum is rapidly changing. The rise of new artificial intelligence technologies, including virtual
agents, machine learning and natural language classification will further drive automation and augmentation of
insurance industry processes.
Automation Spectrum
Intergrated Desktop
Consolidating data from multiple sources into a
single view to complete a process.
01
Machine Learning
Systems that gain knowledge from data as
“experience” and apply what is learnt in
upcoming situations.
04
Robotic Process Automation
Applying technology to manipulate existing
application software to complete a process.
02
Digital Assistants
Interactive characters with human-like traits
and communication styles able to answer
questions and perform business processes.
03