Insurance 2030: AI Accelerating The ChangeArtivatic.ai
Insurance is changing its way for digital process through innovation. By 2030, it will take seconds to get insurance cover & premium. With use of AI, ML, Deeptech etc. Insurance will no more use legacy systems in future.
AUSIS AI UNDERWRITING PLATFORM TRANSFORMING INSURANCEArtivatic.ai
Transforming Insurance with use of AI & ML. AUSIS Platform allows insurance to build risk assessment in real time for faster, customized and need based insurance issuance under 60 seconds. AUSIS is flagship product of Artivatic.
Don’t bid farewell to your insurance agent just yet. NTT DATA Consulting provides a reality check on AI’s transformative impact on the insurance industry. Download the full report “The AI Revolution in Insurance: A Reality Check” on the NTT DATA website.
Digital technology has changed how people shop, bank, travel, and live. Real-time location services, free global communications, and information on demand have become the norm, raising consumer expectations for more personalized customer experiences, when and where they want them. The insurance industry is no exception, as heightened consumer expectations are driving innovation and creating opportunities for new entrants to challenge industry bellwethers. As a result, consumer-facing industries have had to adapt or perish.
Many insurers are struggling to enhance their customer experience while facing stiff competition from digital savvy, data-intensive, agile insurtech companies. The digital disruption is radically altering how insurance is bought, distributed, serviced, commercialized, and ultimately, perceived by the general public. The result is the emergence of insurtech companies engaging customers in ways traditional insurance companies have never offered before.
The traditional model of insuring customers for specific events (or circumstances) is being supplanted by a new model based on a lifecycle of customer needs. Equally important is the capability to go from responsive to predictive practices more accurate than conventional actuarial techniques.
The enabler of these new capabilities is effectively leveraging the expanding quantities, sources, and distributions of data. Doing so requires innovative data-driven technologies designed to discover and integrate this data with semantically enriched data fabrics that strengthen the insurance industry’s fundamental use cases—making new ones possible.
Insurance 2030: AI Accelerating The ChangeArtivatic.ai
Insurance is changing its way for digital process through innovation. By 2030, it will take seconds to get insurance cover & premium. With use of AI, ML, Deeptech etc. Insurance will no more use legacy systems in future.
AUSIS AI UNDERWRITING PLATFORM TRANSFORMING INSURANCEArtivatic.ai
Transforming Insurance with use of AI & ML. AUSIS Platform allows insurance to build risk assessment in real time for faster, customized and need based insurance issuance under 60 seconds. AUSIS is flagship product of Artivatic.
Don’t bid farewell to your insurance agent just yet. NTT DATA Consulting provides a reality check on AI’s transformative impact on the insurance industry. Download the full report “The AI Revolution in Insurance: A Reality Check” on the NTT DATA website.
Digital technology has changed how people shop, bank, travel, and live. Real-time location services, free global communications, and information on demand have become the norm, raising consumer expectations for more personalized customer experiences, when and where they want them. The insurance industry is no exception, as heightened consumer expectations are driving innovation and creating opportunities for new entrants to challenge industry bellwethers. As a result, consumer-facing industries have had to adapt or perish.
Many insurers are struggling to enhance their customer experience while facing stiff competition from digital savvy, data-intensive, agile insurtech companies. The digital disruption is radically altering how insurance is bought, distributed, serviced, commercialized, and ultimately, perceived by the general public. The result is the emergence of insurtech companies engaging customers in ways traditional insurance companies have never offered before.
The traditional model of insuring customers for specific events (or circumstances) is being supplanted by a new model based on a lifecycle of customer needs. Equally important is the capability to go from responsive to predictive practices more accurate than conventional actuarial techniques.
The enabler of these new capabilities is effectively leveraging the expanding quantities, sources, and distributions of data. Doing so requires innovative data-driven technologies designed to discover and integrate this data with semantically enriched data fabrics that strengthen the insurance industry’s fundamental use cases—making new ones possible.
The Insurance of Things - How IoT Will Disrupt The Insurance IndustryAtooma Inc
Thanks to the technological convergence which the Internet of Things is, a lot of data is being generated by people and objects. But Big Data is valuable only as long as it is actionable. This amount of available data can and will have a strong impact on every industry in the next few years, providing new opportunities to improve business intelligence and make smarter decisions.
Business insider estimates that there will be 18 billion connected devices by 2018. While considering IoT on a consumer level, Strategy Analytics claims we will have 4,3 smart devices per person on the planet by 2020. Such a horizontal distribution of the internet of things allows insurance companies to estabilish a new dialogue with their customers. On the other hand, it will allow them to design tailor made solutions based on internet of things based analytics.
Accenture research reveals how transforming to a living business enables insurance companies to achieve sustainable growth through hyper-relevance. To learn more visit: https://www.accenture.com/us-en/insights/insurance/living-business
Get Ready For What's New In Insurance Technology Trends For 2021Mindbowser Inc
The Insurance technology trends will streamline various processes and smoothen up the road to developing various products catering to the current times and users. Some of the Insurance technology trends that can alter and transform the insurance industry are shared here.
Read More about the latest insurance technology trends 2021 on https://success.mindbowser.com/insurance-technology-trends
Internet of Things is Poised to Transform the Insurance SectorPaasmer
The explosive growth of IOT is here and now, it’s considered the new Digital revolution. As per Gartner IOT forecast, it is estimated that by 2020 and more than 35 billion things will be connected to the Internet.
Also Gartner predicts global spending on IOT — including all hardware, software and services — has exceeded $1.3 trillion in 2015 and is forecast to reach $3.5 trillion by 2020.
This deck contains the information on how you can use the cognitive service in the Microsoft Bot Framework. Technologies used Azure Bot Framework, Azure Cloud and Cognitive Services. You can configure this bot on multiple channels like Web, Telegram, Skype and many more.
Please find the bot URL: https://insurancebotweb.azurewebsites.net/About
The full potential of insurance telematicsMatteo Carbone
Auto telematics represents the most mature insurtech use case, as it has already passed the test and experimentation phase within the innovation unit. It is currently being used an instrument for daily work within motor insurance business units. In this domain, Italy is an international best practice example
Ai in insurance how to automate insurance claim processing with machine lear...Skyl.ai
Explore more at https://skyl.ai/form?p=start-trial
About the webinar
Insurance companies are looking at technology to solve complexity created by the presence of cumbersome processes and the presence of multiple entities like actuaries, support team and customers in the claim processing cycle.
Today, a lot of insurance companies are opting for Machine Learning to simplify and automate the processes to reduce fraudulent claims, predict underwriting risks, improve customer relationship management. This automated insurance claim process can remove excessive human intervention or manual errors and can report the claim, capture damage, update the system and communicate with the customers by itself. This leads to an effortless process enabling clients to file their claims without much hassle.
In this webinar, we will discuss how insurers are increasingly relying on machine learning to improve claim processing efficiency and increase ROI.
Data has always played a central role in the insurance industry, and today, insurance carriers have access to more of it than ever before. We have created more data in the past two years than the human race has ever created. Insurers—like organisations in most industries—are overwhelmed by the explosion in data from a host of sources, including telematics, online and social media activity, voice analytics, connected sensors and wearable devices. They need machines to process this information and unearth analytical insights. But most insurers are struggling to maximise the benefits of machine learning.
Importance of Artificial intelligence (AI) in InsuranceDamco Solutions
Artificial Intelligence (AI) benefits the insurance industry by saving time and money, improving customer experience, predicting risk, detecting fraud, and improving profitability. Read more at: https://bit.ly/AI-In-Insurance
Digital disruption in the insurance sector in indiaPrayukth K V
The Insurance sector in India will see massive digital disruption dislodging conventional business and customer engagement paradigms in the years to come...find out more
Insurtech.news - INSIGHT: INSURANCE INTERNET OF THINGS INDUSTRY SURVEYInsurtechNews.com
At the beginning of the year, everyone is looking at how to identify the crucial elements of change that will affect their business in the next twelve months. Discussions from CES 2016 showed that the attention for a lot of companies has turned to connected devices and the internet of things. There are next-gen refrigerators that look like smartphones, smart shoes that track your running habits, and autonomous vehicles that drive for you – that’s just to name a few! But, what we need to ask is who this digital ecosystem is going to affect and what players are being left out of critical first steps of IoT deployment. Recently, FC Business Intelligence asked over 300 insurers what they think the internet of things could deliver for their business. Take a look at the survey infographic featuring insight in to the applications of IoT for insurers for exclusive insight.
I'm pleased to share the first Singapore InsurTech Landscape. The focus is on the start-ups founded in SG, as well as those with regional HQs or major projects (such as Collab). Hats off to a vibrant ecosystem!
Please note that landscapes are living documents. Feel free to DM me on LinkedIn to agree, disagree or add your start-up to the landscape!
Definition, timeline, implemented technologies, requirements and comparison between different technologies of Internet of Things (IoT) in energy management, plus a regional comparison of IoT market size focusing on Iran.
The Singapore FinTech Consortium - Introduction to InsurTechFinTech Consortium
When you hear of “insurance”, the words “innovation” and “technology” would not come to mind intuitively – but they should now. At this day and age, insurance technology has the potential to affect nearly every essential insurance function, ranging from distribution methods to actuarial number crunching. InsurTech is now being implemented across every stage of the insurance value chain.
InsurTech 2016 Conference is a global gathering of the world's leading thinkers and doers in Insurance innovations and technology. It's a gathering of the planet's businesses, large and small, who are being impacted by new innovations to want to meet the demands of the insurance market.
This year, over 300 attendees will make the trip from all corners of the globe to hear from 80 industry thought leaders who will deliver the knowledge you're looking for to succeed in this arena.
InsurTech 2016 will assure that you meet the top insurance and technology professionals - leading 22 interactive and insightful sessions across all the insurtech spectrum, including:
Digital distribution channel
Blockchain
Data Analytics
Wealth Management
IoT & Telematics
Auto Tech
Health Tech & Wearables
Book your delegate ticket now for additional 15% Discount @ http://bit.ly/2bmXVxG
The Insurance of Things - How IoT Will Disrupt The Insurance IndustryAtooma Inc
Thanks to the technological convergence which the Internet of Things is, a lot of data is being generated by people and objects. But Big Data is valuable only as long as it is actionable. This amount of available data can and will have a strong impact on every industry in the next few years, providing new opportunities to improve business intelligence and make smarter decisions.
Business insider estimates that there will be 18 billion connected devices by 2018. While considering IoT on a consumer level, Strategy Analytics claims we will have 4,3 smart devices per person on the planet by 2020. Such a horizontal distribution of the internet of things allows insurance companies to estabilish a new dialogue with their customers. On the other hand, it will allow them to design tailor made solutions based on internet of things based analytics.
Accenture research reveals how transforming to a living business enables insurance companies to achieve sustainable growth through hyper-relevance. To learn more visit: https://www.accenture.com/us-en/insights/insurance/living-business
Get Ready For What's New In Insurance Technology Trends For 2021Mindbowser Inc
The Insurance technology trends will streamline various processes and smoothen up the road to developing various products catering to the current times and users. Some of the Insurance technology trends that can alter and transform the insurance industry are shared here.
Read More about the latest insurance technology trends 2021 on https://success.mindbowser.com/insurance-technology-trends
Internet of Things is Poised to Transform the Insurance SectorPaasmer
The explosive growth of IOT is here and now, it’s considered the new Digital revolution. As per Gartner IOT forecast, it is estimated that by 2020 and more than 35 billion things will be connected to the Internet.
Also Gartner predicts global spending on IOT — including all hardware, software and services — has exceeded $1.3 trillion in 2015 and is forecast to reach $3.5 trillion by 2020.
This deck contains the information on how you can use the cognitive service in the Microsoft Bot Framework. Technologies used Azure Bot Framework, Azure Cloud and Cognitive Services. You can configure this bot on multiple channels like Web, Telegram, Skype and many more.
Please find the bot URL: https://insurancebotweb.azurewebsites.net/About
The full potential of insurance telematicsMatteo Carbone
Auto telematics represents the most mature insurtech use case, as it has already passed the test and experimentation phase within the innovation unit. It is currently being used an instrument for daily work within motor insurance business units. In this domain, Italy is an international best practice example
Ai in insurance how to automate insurance claim processing with machine lear...Skyl.ai
Explore more at https://skyl.ai/form?p=start-trial
About the webinar
Insurance companies are looking at technology to solve complexity created by the presence of cumbersome processes and the presence of multiple entities like actuaries, support team and customers in the claim processing cycle.
Today, a lot of insurance companies are opting for Machine Learning to simplify and automate the processes to reduce fraudulent claims, predict underwriting risks, improve customer relationship management. This automated insurance claim process can remove excessive human intervention or manual errors and can report the claim, capture damage, update the system and communicate with the customers by itself. This leads to an effortless process enabling clients to file their claims without much hassle.
In this webinar, we will discuss how insurers are increasingly relying on machine learning to improve claim processing efficiency and increase ROI.
Data has always played a central role in the insurance industry, and today, insurance carriers have access to more of it than ever before. We have created more data in the past two years than the human race has ever created. Insurers—like organisations in most industries—are overwhelmed by the explosion in data from a host of sources, including telematics, online and social media activity, voice analytics, connected sensors and wearable devices. They need machines to process this information and unearth analytical insights. But most insurers are struggling to maximise the benefits of machine learning.
Importance of Artificial intelligence (AI) in InsuranceDamco Solutions
Artificial Intelligence (AI) benefits the insurance industry by saving time and money, improving customer experience, predicting risk, detecting fraud, and improving profitability. Read more at: https://bit.ly/AI-In-Insurance
Digital disruption in the insurance sector in indiaPrayukth K V
The Insurance sector in India will see massive digital disruption dislodging conventional business and customer engagement paradigms in the years to come...find out more
Insurtech.news - INSIGHT: INSURANCE INTERNET OF THINGS INDUSTRY SURVEYInsurtechNews.com
At the beginning of the year, everyone is looking at how to identify the crucial elements of change that will affect their business in the next twelve months. Discussions from CES 2016 showed that the attention for a lot of companies has turned to connected devices and the internet of things. There are next-gen refrigerators that look like smartphones, smart shoes that track your running habits, and autonomous vehicles that drive for you – that’s just to name a few! But, what we need to ask is who this digital ecosystem is going to affect and what players are being left out of critical first steps of IoT deployment. Recently, FC Business Intelligence asked over 300 insurers what they think the internet of things could deliver for their business. Take a look at the survey infographic featuring insight in to the applications of IoT for insurers for exclusive insight.
I'm pleased to share the first Singapore InsurTech Landscape. The focus is on the start-ups founded in SG, as well as those with regional HQs or major projects (such as Collab). Hats off to a vibrant ecosystem!
Please note that landscapes are living documents. Feel free to DM me on LinkedIn to agree, disagree or add your start-up to the landscape!
Definition, timeline, implemented technologies, requirements and comparison between different technologies of Internet of Things (IoT) in energy management, plus a regional comparison of IoT market size focusing on Iran.
The Singapore FinTech Consortium - Introduction to InsurTechFinTech Consortium
When you hear of “insurance”, the words “innovation” and “technology” would not come to mind intuitively – but they should now. At this day and age, insurance technology has the potential to affect nearly every essential insurance function, ranging from distribution methods to actuarial number crunching. InsurTech is now being implemented across every stage of the insurance value chain.
InsurTech 2016 Conference is a global gathering of the world's leading thinkers and doers in Insurance innovations and technology. It's a gathering of the planet's businesses, large and small, who are being impacted by new innovations to want to meet the demands of the insurance market.
This year, over 300 attendees will make the trip from all corners of the globe to hear from 80 industry thought leaders who will deliver the knowledge you're looking for to succeed in this arena.
InsurTech 2016 will assure that you meet the top insurance and technology professionals - leading 22 interactive and insightful sessions across all the insurtech spectrum, including:
Digital distribution channel
Blockchain
Data Analytics
Wealth Management
IoT & Telematics
Auto Tech
Health Tech & Wearables
Book your delegate ticket now for additional 15% Discount @ http://bit.ly/2bmXVxG
100 insurance companies were surveyed to understand how they view their journey to operations maturity.
Our experience indicates that operations maturity can translate into tech-savvy ways to acquire customers faster or discover new revenue growth.
This means combining data, technology, processes and people into an intelligent, data-driven— and more resilient—operating model.
Are you ready to be an Insurer of Things? How the Internet of Things is chang...Accenture Insurance
The traditional business model for insurance, though still a tremendous source of revenue, is becoming less sustainable in the long term due largely to the rapid innovation that the Internet of Things is driving throughout the economy. Yet, in the midst of this disruption there is opportunity. Insurers will need to dramatically reshape their business model, combining insurance with technology, ecosystem services and partners.
Technology and Innovation in Insurance– Present and Future Technology in Indi...Dr. Amarjeet Singh
Insurance companies are unique — most of their interactions with customers happen through an agent. In effect, a chunk of technology investment goes into improving agent experience. Insurers have developed systems to advise agents on products tailored for specific customers, depending on their history with the insurer and income band. Bajaj Allianz Life Insurance has a mobile app to hire agents. This helps in training, exams and licensing. It has brought on board 15,700 consultants digitally in the past year, cutting down processing time by half.
Insurers have launched mobile phone apps, making it easier for customers to transact with them. They are, slowly and surely, moving towards paperless claims as well. These are, however, only the first steps in digital transformation. Changing core systems is expensive and complicated. So, most transformation initiatives focus on improving systems of engagement with customers.
With the constant advancements and better use of digital tools in the last few years; most of these challenges seem to be addressed efficiently. While technologies such as Robotic Process Automation (RPA), Artificial Intelligence (AI), Block chain, and Advanced Analytics are working as promoters to enhance the importance of insurance, the insurers are working hard to create a more streamlined and integrated insurance system.
Reshaping Underwriting Landscape With Focussing On CX – WhitepaperIndusNetMarketing
80% of customers lost interest in buying life insurance due to the poor underwriting process. These top 3 strategic solutions are imperative to enhance CX.
Insurance Cloud: From Tactical to Strategic Investment for European InsurersAccenture Insurance
Insurance companies have been relatively cautious about cloud adoption. However, the conversation among insurers has changed in the last few years, moving to “when and how” rather than “why.” Several factors are driving today’s insurance companies to move their applications and data into the cloud as they reassess their business opportunities. Learn more:
Unbundling the Insurance Value Chain - Disruption in the Insurance Sector - The 7th. International Istanbul Insurance Confrence - Prof. Dr. Selim YAZICI (2016)
Data has always played a central role in the insurance industry, and today, insurance carriers have access to more of it than ever before. We have created more data in the past two years than the human race has ever created. Insurers—like organisations in most industries—are overwhelmed by the explosion in data from a host of sources, including telematics, online and social media activity, voice analytics, connected sensors and wearable devices. They need machines to process this information and unearth analytical insights. But most insurers are struggling to maximize the benefits of machine learning.
Jika Anda adalah seorang pengembang aplikasi, Anda pasti menginginkan pembuatan aplikasi yang mudah dan menjangkau customer. Membuat CI/CD pipeline lazim dilakukan dalam pengembangan aplikasi sebagai penghubung antara pengembang dan operasional agar dapat terorganisir dengan baik. CI/CD pipeline dapat berfungsi sebagai pendorong proses pengembangan aplikasi sekaligus dapat mengurangi risiko dalam setiap tahap pengembangan. Selain itu, CI/CD juga berguna dalam membantu pengembang dan penguji dalam melakukan rilis dan update aplikasi dengan lebih cepat dan aman karena CI/CD dilakukan dalam lingkungan yang terstruktur. Meskipun dimungkinkan untuk mengeksekusi setiap langkah pipeline CI/CD secara manual, nilai sebenarnya dari pipeline CI/CD diwujudkan melalui otomatisasi.
A cloud-native development platform can empower you to respond to market trends and quickly turn ideas into products and services.
Cloud Native technologies are used to develop applications built with services packaged in containers, deployed as microservices, and managed on elastic infrastructure through agile DevOps processes and continuous delivery workflows.
Disaster Recovery Cookbook - Secret recipes for hybrid-cloud success.
Digital era make organizations must depend on system to operate, but sometime organizations facing the downtime and data loss which are expensive threats.
In this webinar you will learn how to selecting the right solution to protect, move, and recover mission-critical application with near 0% data loss in cost-effective model.
Converting Your Existing SAP Server Infrastructure to a Modern Cloud-Based Ar...PT Datacomm Diangraha
Raih produktivitas maksimal dengan menjalankan sistem SAP Anda di infrastruktur lokal pertama dan satu-satunya yang tersertifikasi langsung oleh SAP.
Ketahui bagaimana caranya untuk memasuki transformasi digital dengan meminimalkan komplektivitas, fleksibilitas yang tinggi, namun dengan TCO yang kompetitif dari Datacomm Cloud.
Sutedjo menjelaskan secara singkat mengenai sistem ERP SAP, beserta dengan manfaat yang diberikan seperti mampu menurunkan biaya inventory sebesar 20%, mempercepat proses bisnis sampai 50% dan mengurangi biaya TCO sampai 30%. Sutedjo juga menjelaskan mengenai pembagian tanggungjawab antara provider dengan konsumen ketika menjalankan SAP secara on-premise, hosted, dan menjalankan keseluruhan sistem di cloud.
Deri menjelaskan mengenai proses melakukan migrasi dari SAP on-prem ke cloud. Pemaparan materi juga mencakup mengenai tahapan-tahapan migrasi, aktivitas-aktivitas prioritas dalam melakukan migrasi, serta manfaat yang didapatkan ketika seluruh tahapan migrasi ke cloud selesai dilaksanakan.
Disaster Recovery: Understanding Trend, Methodology, Solution, and StandardPT Datacomm Diangraha
Disaster Recovery (DR)
Provides the technical ability to maintain critical services in the event of any unplanned incident that threatens these services or the technical infrastructure required to maintain them.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
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
Let's dive deeper into the world of ODC! Ricardo Alves (OutSystems) will join us to tell all about the new Data Fabric. After that, Sezen de Bruijn (OutSystems) will get into the details on how to best design a sturdy architecture within ODC.
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.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
GraphRAG is All You need? LLM & Knowledge GraphGuy 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 QualityInflectra
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.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
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
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
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.
"Impact of front-end architecture on development cost", Viktor TurskyiFwdays
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.
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.
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.
Essentials of Automations: Optimizing FME Workflows with Parameters
The Long Awaited Cloud Solution - How Cloud Computing Benefits Insurance & FSI
1. How Cloud Computing benefits
Insurance & FSI
Faisal Yahya, Dr. Cand., AAAIK, CISSP, CCSK, PRINCE2, ITIL v3, PSM I, PSPO I
Head of IT - CyberSecurity and Insurance Enterprise Architect
2. Transformation: Digitalization are Expanding
• The Industrial Revolution valued
physical assets, such as factories,
machinery, and other property.
• The Technological Revolution has seen
companies harness the importance of
big data and operational efficiencies
through advanced IT systems.
3. Insurance is challenged to evolve their Business Model
% of customer needs met
Traditional Insurer
Risk Manager
Life Advisor
Enterprise
-focus
Customer-
focus
Innovation
4. The complexity of
common insurance
products as a very
finely tuned balance
between:
price vs coverage
Want it more
cheaper?
Make it more
complex
Want it
more
simpler?
Up the price
This is where the
Disruptive coming
5. Technology makes lifestyle-
integrated interactions possible
• Traditional Insurance Business has long depended on
two customer touchpoints: at the time of sale and at
the time of claim.
• As the customers get increasingly connected, the
current data void between these two customer
touchpoints is about to be filled.
• Insurance firms are embracing connected technologies
to offer personalized and dynamic insurance premiums
to their customers.
Data rich but Information poor
6. Machine learning for
insurance pricing
optimization
• Big data, analytics and other tools employed by
insurers can unlock powerful insights that can be
used to understand the customers better and
provide the appropriate connections within the
connected ecosystem.
• That information generated or gathered can then be
used to improve underwriting decisions and
improve pricing for targeted customer segments, as
opposed to one, the blended generic rate for all.
7. InsurTech – AI, IoT, and Big Data Analysis
Visualize that you get into a self-driving car of the future. The car’s
open-up monitor issues an alert:
“I sense that you’ve been drinking. I apparently don’t need your driving
assistance, but there’s always a small chance I may, in the case of an
emergency. If you want to navigate this car under the influence of
alcohol, your insurance rate for the next 6 hours, or until you arrive at
your destination, will increase to $2 per hour.“
to accept this increase in your insurance.
Press
Here
Motor Vehicle Autonomous Driving Mode (Driverless Car)
8. Challenges
1. Insurers are working with separated information silos of brokers,
agents, underwriters and loss adjusters.
2. Insurers are increasingly under tension from new business entrants
who have none of those legacy problems and can afford to play on
a cost basis.
3. In this agile industry, true differentiation lies in delivering value and
unique experience (connects staff, agents, and brokers with the
resources they need) to puts the client at the center.
9. Disruptive -- Demand for new ways of
Purchasing Insurance & Managing Risk
Plasticity.
Connectedness.
Data-driven for personalization.
On-demand services.
So many other industries, these game
changers are reshaping the connection
between insurers and their customers.
https://www.trov.com/
https://www.lemonade.com/
Two-thirds of all venture capital funding in
insurance is going into distribution start-ups.
(source: Accenture)
10. InsurTech – AI, IoT, and Big Data Analysis
P2P Insurance
Lemonade Website
11. InsurTech – AI, IoT, and Big Data Analysis
Telematics Insurance type
Vodafone Automotive Insurance Website
Usage-based insurance is
transforming the automotive
insurance market. Globally, there
are already 12 million* drivers with
a black box in their car, storing and
sending data.
By 2023 the figure is expected to
be 142 million.
* Source here
12. InsurTech – AI, IoT, and Big Data Analysis -- more ….
InsurTech focus from underwriting operations up to delivering insurance in new
ways. This caused varying experimentation and growth.
14. 7 Benefits for using Cloud Computing
for Insurance and FSI
total costs of IT ownership and operationReduce
customer data, enabling customer-centricityUnify
new business and engage customers more effectively through new distribution modelsDrive
peaks in demand more easily and at lower cost [Elastic Computing]Handle
speed to market and drive new business opportunitiesReduce
a move to a service-oriented model and new innovation in systems designForce
integration of third party systems/agency management systems.Support
15. Cloud Computing is beyond Cost-Saving
Building a
frictionless and
flexible
ecosystem
1
Consumer cloud
computing
2
Applications
when you need
them (and
anywhere)
3
More powerful
and pervasive
analytics
4
16. Wrap Up
Cloud
Computing
Business Value
• Flexibility
• Market savings
• Increase Capacity
• Leverage business operations
and initiatives excellences.
Reduced Risk
• Lower up-front costs
• More secure
• Diminishing lost revenue
and additional expenses
** source: Cisco