Cloud computing in insurance:
- A few things about cloud
- What the big guys say about cloud
- Cloud benefits
- Cloud Computing across insurance value chain
- Deploying cloud computing in insurance
- Cloud workloads functions
- Cloud concerns
- Specific use cases
Organizations across diverse industries are in pursuit of Customer 360, by integrating customer information across multiple channels, systems, devices and products. Having a 360-degree view of the customer enables enterprises to improve the interaction experience, drive customer loyalty and improve retention. However delivering a true Customer 360 can be very challenging.
Microsoft Dynamics 365 - Intelligent Business ApplicationsDavid J Rosenthal
Dynamics 365 is our business application offering that allows you, our customers, to go on your digital transformation journey.
It's our set of packaged solutions across marketing, sales, service, operations, finance, talent -- that modernize and transform these processes to allow you to go on your journey.
We're going to talk today about sort of what makes Dynamics 365 special, what makes it different, why it's not the same old same old business applications. And there are four characteristics that we'll sort of hit on in a stepwise manner.
They're modern, unified, intelligent, and adaptable. And so let's click through each one of those and talk about what we mean when we say those words.
Organizations across diverse industries are in pursuit of Customer 360, by integrating customer information across multiple channels, systems, devices and products. Having a 360-degree view of the customer enables enterprises to improve the interaction experience, drive customer loyalty and improve retention. However delivering a true Customer 360 can be very challenging.
Microsoft Dynamics 365 - Intelligent Business ApplicationsDavid J Rosenthal
Dynamics 365 is our business application offering that allows you, our customers, to go on your digital transformation journey.
It's our set of packaged solutions across marketing, sales, service, operations, finance, talent -- that modernize and transform these processes to allow you to go on your journey.
We're going to talk today about sort of what makes Dynamics 365 special, what makes it different, why it's not the same old same old business applications. And there are four characteristics that we'll sort of hit on in a stepwise manner.
They're modern, unified, intelligent, and adaptable. And so let's click through each one of those and talk about what we mean when we say those words.
How to Use a Semantic Layer to Deliver Actionable Insights at ScaleDATAVERSITY
Learn about using a semantic layer to enable actionable insights for everyone and streamline data and analytics access throughout your organization. This session will offer practical advice based on a decade of experience making semantic layers work for Enterprise customers.
Attend this session to learn about:
- Delivering critical business data to users faster than ever at scale using a semantic layer
- Enabling data teams to model and deliver a semantic layer on data in the cloud.
- Maintaining a single source of governed metrics and business data
- Achieving speed of thought query performance and consistent KPIs across any BI/AI tool like Excel, Power BI, Tableau, Looker, DataRobot, Databricks and more.
- Providing dimensional analysis capability that accelerates performance with no need to extract data from the cloud data warehouse
Who should attend this session?
Data & Analytics leaders and practitioners (e.g., Chief Data Officers, data scientists, data literacy, business intelligence, and analytics professionals).
Serverless Kafka on AWS as Part of a Cloud-native Data Lake ArchitectureKai Wähner
AWS Data Lake / Lake House + Confluent Cloud for Serverless Apache Kafka. Learn about use cases, architectures, and features.
Data must be continuously collected, processed, and reactively used in applications across the entire enterprise - some in real time, some in batch mode. In other words: As an enterprise becomes increasingly software-defined, it needs a data platform designed primarily for "data in motion" rather than "data at rest."
Apache Kafka is now mainstream when it comes to data in motion! The Kafka API has become the de facto standard for event-driven architectures and event streaming. Unfortunately, the cost of running it yourself is very often too expensive when you add factors like scaling, administration, support, security, creating connectors...and everything else that goes with it. Resources in enterprises are scarce: this applies to both the best team members and the budget.
The cloud - as we all know - offers the perfect solution to such challenges.
Most likely, fully-managed cloud services such as AWS S3, DynamoDB or Redshift are already in use. Now it is time to implement "fully-managed" for Kafka as well - with Confluent Cloud on AWS.
Building a central integration layer that doesn't care where or how much data is coming from.
Implementing scalable data stream processing to gain real-time insights
Leveraging fully managed connectors (like S3, Redshift, Kinesis, MongoDB Atlas & more) to quickly access data
Confluent Cloud in action? Let's show how ao.com made it happen!
Translated with www.DeepL.com/Translator (free version)
5 Critical Steps to Clean Your Data Swamp When Migrating Off of HadoopDatabricks
In this session, learn how to quickly supplement your on-premises Hadoop environment with a simple, open, and collaborative cloud architecture that enables you to generate greater value with scaled application of analytics and AI on all your data. You will also learn five critical steps for a successful migration to the Databricks Lakehouse Platform along with the resources available to help you begin to re-skill your data teams.
Gartner named customer data platforms (CDPs) one of the key technologies that will demand marketers’ attention in 2018. Michael Katz, Cofounder and CEO of mParticle, explains why CDPs are not just another acronym and how consumer brands ranging from Airbnb to NBCUniversal to Zappos are using them to optimize omnichannel customer experiences and marketing outcomes, in all the moments that matter.
Originally presented at AdExchanger Industry Preview 2018 by Michael Katz, Cofounder and CEO, mParticle.
Describes what Enterprise Data Architecture in a Software Development Organization should cover and does that by listing over 200 data architecture related deliverables an Enterprise Data Architect should remember to evangelize.
Webinar: Implementation of 10 Integration Patterns on iPaaS PlatformAPPSeCONNECT
We recently had a #Webinar on Integration Patterns for iPaaS Platform. The key points discussed over the webinar were:
1. Understanding the best practices that should be followed to correctly utilize an iPaaS platform.
2. Some of the best use cases of the iPaaS platform.
3. A walkthrough of APPSeCONNECT Integration Platform to feature the scenarios of an iPaaS platform.
#iPaaS #IntegrationPlatform
Integrate your business applications under one single platform: https://www.appseconnect.com/integrations/
Profit and market value is migrating away from hardware, but few product companies are prepared and executing the required digital transformation. High tech companies need to invest in digital growth strategies, reinvigorate business models and create new revenue streams. Find out how to harness disruption to grow your business.
Building a Data Streaming Center of Excellence With Steve Gonzalez and Derek ...HostedbyConfluent
Building a Data Streaming Center of Excellence With Steve Gonzalez and Derek Kane | Current 2022
How do you accelerate success with data streaming at your organization? After developing an interest and recognizing the potential value in using Data Streaming technologies like Apache Kafka, organizations often struggle with implementing best practices at scale, and subsequently struggle in navigating the path to desired returns on investment (ROI).
This talk explores a solution to overcome common roadblocks and delays to realizing value at your organization - building a Data Streaming Center of Excellence (CoE). We will discuss the keys to success including workstreams and services required of a CoE, repeatable standards and guidance, supporting a community of practice, and more. You will see examples of use case templates, runbooks and documentation, team structures, and in general garner a better understanding of how you may implement a CoE given your unique culture, priorities, and streaming maturity level.
This will be an introductory-level talk that appeals to technical as well as non-technical personnel considering or building a central shared service offering for an organization. It is also ideal for managers or executives wondering how they might drive accelerated, large-scale adoption of data streaming across their enterprise in a governed, repeatable fashion.
Cloud Migration Cookbook: A Guide To Moving Your Apps To The CloudNew Relic
The process of building new apps or migrating existing apps to a cloud-based platform is complex. There are hundreds of paths you can take and only a few will make sense for you and your business. Get a step-by-step guide on how to plan for a successful app migration.
Northwestern Mutual Journey – Transform BI Space to CloudDatabricks
The volume of available data is growing by the second (to an estimated 175 zetabytes by 2025), and it is becoming increasingly granular in its information. With that change every organization is moving towards building a data driven culture. We at Northwestern Mutual share similar story of driving towards making data driven decisions to improve both efficiency and effectiveness. Legacy system analysis revealed bottlenecks, excesses, duplications etc. Based on ever growing need to analyze more data our BI Team decided to make a move to more modern, scalable, cost effective data platform. As a financial company, data security is as important as ingestion of data. In addition to fast ingestion and compute we would need a solution that can support column level encryption, Role based access to different teams from our datalake.
In this talk we describe our journey to move 100’s of ELT jobs from current MSBI stack to Databricks and building a datalake (using Lakehouse). How we reduced our daily data load time from 7 hours to 2 hours with capability to ingest more data. Share our experience, challenges, learning, architecture and design patterns used while undertaking this huge migration effort. Different sets of tools/frameworks built by our engineers to help ease the learning curve that our non-Apache Spark engineers would have to go through during this migration. You will leave this session with more understand on what it would mean for you and your organization if you are thinking about migrating to Apache Spark/Databricks.
This describes a conceptual model approach to designing an enterprise data fabric. This is the set of hardware and software infrastructure, tools and facilities to implement, administer, manage and operate data operations across the entire span of the data within the enterprise across all data activities including data acquisition, transformation, storage, distribution, integration, replication, availability, security, protection, disaster recovery, presentation, analytics, preservation, retention, backup, retrieval, archival, recall, deletion, monitoring, capacity planning across all data storage platforms enabling use by applications to meet the data needs of the enterprise.
The conceptual data fabric model represents a rich picture of the enterprise’s data context. It embodies an idealised and target data view.
Designing a data fabric enables the enterprise respond to and take advantage of key related data trends:
• Internal and External Digital Expectations
• Cloud Offerings and Services
• Data Regulations
• Analytics Capabilities
It enables the IT function demonstrate positive data leadership. It shows the IT function is able and willing to respond to business data needs. It allows the enterprise to meet data challenges
• More and more data of many different types
• Increasingly distributed platform landscape
• Compliance and regulation
• Newer data technologies
• Shadow IT where the IT function cannot deliver IT change and new data facilities quickly
It is concerned with the design an open and flexible data fabric that improves the responsiveness of the IT function and reduces shadow IT.
Customer Event Hub - the modern Customer 360° viewGuido Schmutz
Today, companies are using various channels to communicate with their customers. As a consequence, a lot of data is created, more and more also outside of the traditional IT infrastructure of an enterprise. This data often does not have a common format and they are continuously created with ever increasing volume. With Internet of Things (IoT) and their sensors, the volume as well as the velocity of data just gets more extreme.
To achieve a complete and consistent view of a customer, all these customer-related information has to be included in a 360 degree view in a real-time or near-real-time fashion. By that, the Customer Hub will become the Customer Event Hub. It constantly shows the actual view of a customer over all his interaction channels and provides an enterprise the basis for a substantial and effective customer relation.
In this presentation the value of such a platform is shown and how it can be implemented.
How to Execute a Successful API StrategyMatt McLarty
Updated version of my CONNECT presentation. Defines a holistic approach to API strategy, covering goals, principles, organization, culture, technology, and the API ecosystem.
To be able to use analytics effectively and thus leverage the data treasures in the company, you need a modern and scalable data platform that can react flexibly to events and was designed with a DataOps mindset from the very beginning.
Delivered a session for C# Corner Bangalore Chapter Meet for "Workshop on Digital Transformation and Office 365" on the following topic: "Modern Workplace with Microsoft 365"
Event Url: http://www.c-sharpcorner.com/events/workshop-on-digital-transformation-and-office-365
To succeed in the Digital Era, organizations turn to Microsoft Digital Advisory Services. Digital Advisors like myself work with organizations to reimagine and transform customer
engagement, employee experiences, business models and operations, to empower organizations to reach their digital aspirations.
Welcome to learn more about our Advisory Services.
BI Consultancy - Data, Analytics and StrategyShivam Dhawan
The presentation describes my views around the data we encounter in digital businesses like:
- Looking at common Data collection methodologies,
-What are the common issues within the decision support system and optimiztion lifecycle,
- Where are most of failing?
and most importantly, "How to connect the dots and move from Data to Strategy?"
I work with all facets of Web Analytics and Business Strategy and see the structures and governance models of various domains to establish and analyze the key performance indicators that allow you to have a 360º overview of online and offline multi-channel environment.
Apart from my experience with the leading analytic tools in the market like Google Analytics, Omniture and BI tools for Big Data, I am developing new solutions to solve complex digital / business problems.
As a resourceful consultant, I can connect with your team in any modality or in any form that meets your needs and solves any data/strategy problem.
Cloud computing is the provision of dynamically scalable and often virtualised resources as a service over the internet (public cloud) or intranet (private cloud)
From the Amazon Web Services Singapore & Malaysia Summits 2015 Track 1 Breakout, 'The Journey to Digital Enterprise' Presented by Daniel Angelucci, CTO, CSC AMEA
How to Use a Semantic Layer to Deliver Actionable Insights at ScaleDATAVERSITY
Learn about using a semantic layer to enable actionable insights for everyone and streamline data and analytics access throughout your organization. This session will offer practical advice based on a decade of experience making semantic layers work for Enterprise customers.
Attend this session to learn about:
- Delivering critical business data to users faster than ever at scale using a semantic layer
- Enabling data teams to model and deliver a semantic layer on data in the cloud.
- Maintaining a single source of governed metrics and business data
- Achieving speed of thought query performance and consistent KPIs across any BI/AI tool like Excel, Power BI, Tableau, Looker, DataRobot, Databricks and more.
- Providing dimensional analysis capability that accelerates performance with no need to extract data from the cloud data warehouse
Who should attend this session?
Data & Analytics leaders and practitioners (e.g., Chief Data Officers, data scientists, data literacy, business intelligence, and analytics professionals).
Serverless Kafka on AWS as Part of a Cloud-native Data Lake ArchitectureKai Wähner
AWS Data Lake / Lake House + Confluent Cloud for Serverless Apache Kafka. Learn about use cases, architectures, and features.
Data must be continuously collected, processed, and reactively used in applications across the entire enterprise - some in real time, some in batch mode. In other words: As an enterprise becomes increasingly software-defined, it needs a data platform designed primarily for "data in motion" rather than "data at rest."
Apache Kafka is now mainstream when it comes to data in motion! The Kafka API has become the de facto standard for event-driven architectures and event streaming. Unfortunately, the cost of running it yourself is very often too expensive when you add factors like scaling, administration, support, security, creating connectors...and everything else that goes with it. Resources in enterprises are scarce: this applies to both the best team members and the budget.
The cloud - as we all know - offers the perfect solution to such challenges.
Most likely, fully-managed cloud services such as AWS S3, DynamoDB or Redshift are already in use. Now it is time to implement "fully-managed" for Kafka as well - with Confluent Cloud on AWS.
Building a central integration layer that doesn't care where or how much data is coming from.
Implementing scalable data stream processing to gain real-time insights
Leveraging fully managed connectors (like S3, Redshift, Kinesis, MongoDB Atlas & more) to quickly access data
Confluent Cloud in action? Let's show how ao.com made it happen!
Translated with www.DeepL.com/Translator (free version)
5 Critical Steps to Clean Your Data Swamp When Migrating Off of HadoopDatabricks
In this session, learn how to quickly supplement your on-premises Hadoop environment with a simple, open, and collaborative cloud architecture that enables you to generate greater value with scaled application of analytics and AI on all your data. You will also learn five critical steps for a successful migration to the Databricks Lakehouse Platform along with the resources available to help you begin to re-skill your data teams.
Gartner named customer data platforms (CDPs) one of the key technologies that will demand marketers’ attention in 2018. Michael Katz, Cofounder and CEO of mParticle, explains why CDPs are not just another acronym and how consumer brands ranging from Airbnb to NBCUniversal to Zappos are using them to optimize omnichannel customer experiences and marketing outcomes, in all the moments that matter.
Originally presented at AdExchanger Industry Preview 2018 by Michael Katz, Cofounder and CEO, mParticle.
Describes what Enterprise Data Architecture in a Software Development Organization should cover and does that by listing over 200 data architecture related deliverables an Enterprise Data Architect should remember to evangelize.
Webinar: Implementation of 10 Integration Patterns on iPaaS PlatformAPPSeCONNECT
We recently had a #Webinar on Integration Patterns for iPaaS Platform. The key points discussed over the webinar were:
1. Understanding the best practices that should be followed to correctly utilize an iPaaS platform.
2. Some of the best use cases of the iPaaS platform.
3. A walkthrough of APPSeCONNECT Integration Platform to feature the scenarios of an iPaaS platform.
#iPaaS #IntegrationPlatform
Integrate your business applications under one single platform: https://www.appseconnect.com/integrations/
Profit and market value is migrating away from hardware, but few product companies are prepared and executing the required digital transformation. High tech companies need to invest in digital growth strategies, reinvigorate business models and create new revenue streams. Find out how to harness disruption to grow your business.
Building a Data Streaming Center of Excellence With Steve Gonzalez and Derek ...HostedbyConfluent
Building a Data Streaming Center of Excellence With Steve Gonzalez and Derek Kane | Current 2022
How do you accelerate success with data streaming at your organization? After developing an interest and recognizing the potential value in using Data Streaming technologies like Apache Kafka, organizations often struggle with implementing best practices at scale, and subsequently struggle in navigating the path to desired returns on investment (ROI).
This talk explores a solution to overcome common roadblocks and delays to realizing value at your organization - building a Data Streaming Center of Excellence (CoE). We will discuss the keys to success including workstreams and services required of a CoE, repeatable standards and guidance, supporting a community of practice, and more. You will see examples of use case templates, runbooks and documentation, team structures, and in general garner a better understanding of how you may implement a CoE given your unique culture, priorities, and streaming maturity level.
This will be an introductory-level talk that appeals to technical as well as non-technical personnel considering or building a central shared service offering for an organization. It is also ideal for managers or executives wondering how they might drive accelerated, large-scale adoption of data streaming across their enterprise in a governed, repeatable fashion.
Cloud Migration Cookbook: A Guide To Moving Your Apps To The CloudNew Relic
The process of building new apps or migrating existing apps to a cloud-based platform is complex. There are hundreds of paths you can take and only a few will make sense for you and your business. Get a step-by-step guide on how to plan for a successful app migration.
Northwestern Mutual Journey – Transform BI Space to CloudDatabricks
The volume of available data is growing by the second (to an estimated 175 zetabytes by 2025), and it is becoming increasingly granular in its information. With that change every organization is moving towards building a data driven culture. We at Northwestern Mutual share similar story of driving towards making data driven decisions to improve both efficiency and effectiveness. Legacy system analysis revealed bottlenecks, excesses, duplications etc. Based on ever growing need to analyze more data our BI Team decided to make a move to more modern, scalable, cost effective data platform. As a financial company, data security is as important as ingestion of data. In addition to fast ingestion and compute we would need a solution that can support column level encryption, Role based access to different teams from our datalake.
In this talk we describe our journey to move 100’s of ELT jobs from current MSBI stack to Databricks and building a datalake (using Lakehouse). How we reduced our daily data load time from 7 hours to 2 hours with capability to ingest more data. Share our experience, challenges, learning, architecture and design patterns used while undertaking this huge migration effort. Different sets of tools/frameworks built by our engineers to help ease the learning curve that our non-Apache Spark engineers would have to go through during this migration. You will leave this session with more understand on what it would mean for you and your organization if you are thinking about migrating to Apache Spark/Databricks.
This describes a conceptual model approach to designing an enterprise data fabric. This is the set of hardware and software infrastructure, tools and facilities to implement, administer, manage and operate data operations across the entire span of the data within the enterprise across all data activities including data acquisition, transformation, storage, distribution, integration, replication, availability, security, protection, disaster recovery, presentation, analytics, preservation, retention, backup, retrieval, archival, recall, deletion, monitoring, capacity planning across all data storage platforms enabling use by applications to meet the data needs of the enterprise.
The conceptual data fabric model represents a rich picture of the enterprise’s data context. It embodies an idealised and target data view.
Designing a data fabric enables the enterprise respond to and take advantage of key related data trends:
• Internal and External Digital Expectations
• Cloud Offerings and Services
• Data Regulations
• Analytics Capabilities
It enables the IT function demonstrate positive data leadership. It shows the IT function is able and willing to respond to business data needs. It allows the enterprise to meet data challenges
• More and more data of many different types
• Increasingly distributed platform landscape
• Compliance and regulation
• Newer data technologies
• Shadow IT where the IT function cannot deliver IT change and new data facilities quickly
It is concerned with the design an open and flexible data fabric that improves the responsiveness of the IT function and reduces shadow IT.
Customer Event Hub - the modern Customer 360° viewGuido Schmutz
Today, companies are using various channels to communicate with their customers. As a consequence, a lot of data is created, more and more also outside of the traditional IT infrastructure of an enterprise. This data often does not have a common format and they are continuously created with ever increasing volume. With Internet of Things (IoT) and their sensors, the volume as well as the velocity of data just gets more extreme.
To achieve a complete and consistent view of a customer, all these customer-related information has to be included in a 360 degree view in a real-time or near-real-time fashion. By that, the Customer Hub will become the Customer Event Hub. It constantly shows the actual view of a customer over all his interaction channels and provides an enterprise the basis for a substantial and effective customer relation.
In this presentation the value of such a platform is shown and how it can be implemented.
How to Execute a Successful API StrategyMatt McLarty
Updated version of my CONNECT presentation. Defines a holistic approach to API strategy, covering goals, principles, organization, culture, technology, and the API ecosystem.
To be able to use analytics effectively and thus leverage the data treasures in the company, you need a modern and scalable data platform that can react flexibly to events and was designed with a DataOps mindset from the very beginning.
Delivered a session for C# Corner Bangalore Chapter Meet for "Workshop on Digital Transformation and Office 365" on the following topic: "Modern Workplace with Microsoft 365"
Event Url: http://www.c-sharpcorner.com/events/workshop-on-digital-transformation-and-office-365
To succeed in the Digital Era, organizations turn to Microsoft Digital Advisory Services. Digital Advisors like myself work with organizations to reimagine and transform customer
engagement, employee experiences, business models and operations, to empower organizations to reach their digital aspirations.
Welcome to learn more about our Advisory Services.
BI Consultancy - Data, Analytics and StrategyShivam Dhawan
The presentation describes my views around the data we encounter in digital businesses like:
- Looking at common Data collection methodologies,
-What are the common issues within the decision support system and optimiztion lifecycle,
- Where are most of failing?
and most importantly, "How to connect the dots and move from Data to Strategy?"
I work with all facets of Web Analytics and Business Strategy and see the structures and governance models of various domains to establish and analyze the key performance indicators that allow you to have a 360º overview of online and offline multi-channel environment.
Apart from my experience with the leading analytic tools in the market like Google Analytics, Omniture and BI tools for Big Data, I am developing new solutions to solve complex digital / business problems.
As a resourceful consultant, I can connect with your team in any modality or in any form that meets your needs and solves any data/strategy problem.
Cloud computing is the provision of dynamically scalable and often virtualised resources as a service over the internet (public cloud) or intranet (private cloud)
From the Amazon Web Services Singapore & Malaysia Summits 2015 Track 1 Breakout, 'The Journey to Digital Enterprise' Presented by Daniel Angelucci, CTO, CSC AMEA
Exploring the Applications of Cloud Computing in the IT Industry.pdfTechnoMark Solutions
Welcome to TechnoMark Solutions, a cutting-edge tech company that is revolutionizing the digital landscape one solution at a time. At TechnoMark, we specialize in providing innovative tech services to startups, tailored to their unique business requirements. With a commitment to excellence and innovation, TechnoMark Solutions is your trusted partner in building your brand from the ground up.
Transforming Business With Innovative Cloud Computing ServicesForgeahead Solutions
Discover how innovative cloud computing services are revolutionizing businesses worldwide. From enhanced scalability to streamlined operations, this comprehensive guide explores the transformative power of cloud technology. Learn how leading organizations leverage the cloud to drive efficiency, agility, and competitiveness in today's dynamic market landscape. Dive into real-world case studies, expert insights, and actionable strategies to harness the full potential of cloud computing and propel your business forward.
Download now to embark on your journey to digital transformation and unlock new opportunities for growth
Azure Migration
Azure migration is the process of moving your workloads to the Azure cloud. This can include migrating your infrastructure, databases, and applications. Azure migration can help you improve your scalability, reliability, and security, while also reducing your costs. Csharptek is a trusted microsoft solution partner in Digital and Innovation (Azure)for Azure migration. We have a team of experienced and certified Azure professionals who can help you with every aspect of your migration. We offer a variety of services to meet your needs, and we're committed to helping you achieve your business goals.
Get Started Today with Cloud-Ready Contracts | AWS Public Sector Summit 2017Amazon Web Services
In this session, we provide an overview of existing cloud-ready contracts, such as cooperative, federal, and state directed contracts, and walk through steps on how to choose the right one for your procurement. We compare various cloud-ready contracts by identifying scope, end-user eligibility, and primary service offerings to help you make the right choice for your mission needs. Learn More: https://aws.amazon.com/government-education/
(SEC321) Implementing Policy, Governance & Security for EnterprisesAmazon Web Services
"CSC engineers will demonstrate enterprise policy, governance, and security products to deploy and manage enterprise and industry applications AWS. We will demonstrate automated provisioning and management of big data platforms and industry specific enterprise applications with automatically provisioned secure network connectivity from the datacenter to AWS over layer 2 routed AT&T NetBond (provides AWS DirectConnect access) connection. We will demonstrate how applications blueprinted on CSC's Agility Platform can be re-hosted on AWS in minutes or re-instantiated across multiple AWS regions. CSC Cybersecurity will also demonstrate how CSC can provide agile & consumption based endpoint security for workloads in any cloud or virtual infrastructure, providing enterprise management and 24x7 monitoring of workload compliance, vulnerabilities, and potential threats.
Session sponsored by CSC."
Unlocking The Secrets: AWS Whitepapers That Simplify Cloud ComputingFredReynolds2
Cloud computing facilitates business growth and innovation, leading to digital transformation. Amazon Web Services (AWS) offers businesses scalable infrastructure and tools for accelerating innovation, reducing costs, and enhancing performance. The article delves into the advantages of AWS and cloud computing, specifically how these factors alter businesses and make room for innovation and expansion.
Today cloud hosting is rising in popularity as conventional hosting providers restructure their architecture for more authoritative performance and scalability.
The on-demand provision of computer services, including servers, storage, databases, networking, software, and analytics, is known as cloud computing. Cloud-based storage enables distant file saving as opposed to local storage or proprietary hard disk storage. Due to its ability to provide cost savings, enhanced productivity, speed and efficiency, performance, and security, cloud computing is becoming more and more popular among individuals and enterprises.
Discover how cloud services empower businesses with scalable and secure infrastructure solutions, ensuring seamless growth and data protection.
Learn more: https://www.grapestechsolutions.com/blog/building-scalable-and-secure-cloud-infrastructure/
The cloud platform is getting more and more attractive to the computing world. Azure is a new cloud system from Microsoft that allows applications to run from a remote connected system, hosted in a Microsoft data center, and store data in the cloud. The platform consists of three main parts – Development runtime, Azure runtime and Applications like SQL Azure. In this business focused session you will see the main business overview of this cloud platform.
ChatGPT 3.5
User
Benefits of cloud computing
ChatGPT
Cloud computing offers numerous benefits, including:
Scalability: Easily scale resources up or down based on demand, allowing businesses to efficiently manage fluctuating workloads.
Cost-effectiveness: Pay only for the resources you use, eliminating the need for large upfront investments in hardware and infrastructure.
Flexibility: Access data and applications from anywhere with an internet connection, enabling remote work and collaboration.
Reliability: Cloud providers typically offer high uptime guarantees and redundant infrastructure, reducing the risk of downtime.
Security: Cloud providers invest heavily in security measures, often offering advanced encryption, threat detection, and access controls.
Automatic updates: Cloud services are regularly updated with the latest features and security patches, reducing the burden on IT teams.
Disaster recovery: Cloud platforms typically offer built-in redundancy and backup options, helping businesses recover quickly from data loss or outages.
Environmentally friendly: Cloud computing can reduce the carbon footprint of businesses by optimizing resource usage and energy efficiency in data centers.
Microsoft is a leading global provider of cloud computing services for businesses of all sizes.
Cloud computing is the delivery of computing services — including servers, storage, databases, networking, software, analytics, and intelligence — over the Internet to offer faster innovation, flexible resources, and economies of scale.
AWS vs Azure - A high level comparison between the giants in cloud computingEuro IT Group
IDC predicts that cloud computing will be a $107 billion industry by 2017. Today 82% of enterprises have a hybrid cloud strategy and, increasingly, enterprises plan to use a portfolio of clouds, with 82% reporting a multi-cloud strategy.
Gartner’s recent 2015 Cloud Infrastructure-as-a-Service (IaaS) Magic Quadrant present mention Amazon Web Services and Microsoft’s Azure in the Leaders Quadrant. Amazon Web Services (AWS) is the oldest player and has held the leading position for over five years now.
Below, I’ve made a high level comparison between the marketing leaders Microsoft Windows Azure and Amazon Web Services.
Although AWS had a great start and still rules the market, Microsoft is catching up fast, as they continue to invest in their cloud infrastructure and to match Amazon’s services and flexibility.
In any case, for organizations that made significant investments in Microsoft technologies, Azure is definitely in a favorite position.
Check the infographic on our blog: http://www.euroitgroup.com/telecom-2020-infographic/
The telecom industry will continue to play a central role in addressing a whole range of social, economic challenges or issues. “By working together, the mobile industry is truly connecting everyone and everything to a better future. That must be at the forefront in everything we do role of mobile technology in improving tomorrow’s society”.
Insurance - Open Source Analytics Dashboards for Real Time Business OverviewEuro IT Group
Check this Slide Deck to understand how open source analytics dashboards can support better strategic decisions. Such dashboards can be available in a matter of hours if data is available within your systems. If not, we can make it available.
“In today’s digital world, businesses that want to master the flow of information have to address three key challenges: the explosive growth in data volumes, the need to analyse those growing volumes in real-time, and the need to deliver the resulting insights to users...” ‘Insights Everywhere’ Intel White Paper
IT Outsourcing Trends - 2016 and beyond Euro IT Group
Worldwide IT Outsourcing market
Digitalization puts pressure on all organizations
Business leads technology
Large contract renegotiation
New working & pricing models
Flexible sourcing models
Project management trends
Co-opetition between IT service providers
Focus on risk
Employment strategies
New technology trends
Insurance industry trends 2015 and beyond: #4 Telematics Euro IT Group
Telematics explained
Telematics use cases
Telematics drivers
Changes in the insurance industry
Deploying cloud computing in insurance
What can be done by using vehicle OBD?
Smartphone applications for telematics & challenges
Specific use case
Insurance Industry Trends in 2015: #2 Mobility Euro IT Group
Content:
- Insurance facts
- Insurance mobility facts
- Mobile opportunities for insurance processes
- Mobile apps in insurance – facts and benefits
- Customer centricity
- Sales mobility & process
- Security
- Use cases – how large insurance use mobile apps today?
- Leverage sales mobility
Insurance Industry Trends in 2015: #1 Big Data and AnalyticsEuro IT Group
By implementing customized big data solutions, Euro IT Group can help you unlock the tones of information already flowing through your organization, analyze it, extract value and transform it into insight that drives growth and revenue.
9 Cloud Success Stories - Microsoft AzureEuro IT Group
Euro IT Group has broad experience in working with public (SaaS, IaaS, PaaS), private or Hybrid cloud based environments. We have a deep understanding of the most significant cloud architectures, from Microsoft and Amazon to Google or Rackspace and a variety of adjacent systems that we have applied in real life projects.
e-Commerce Facts and Stats 2015 and BeyondEuro IT Group
Euro IT Group teams have delivered dozens of ecommerce platforms. We cover the complete spectrum of ecommerce services from software architecture and development to additional plug ins development, modules extensions, user experience design, testing, maintenance and support, integration with other business systems (eg CRM, ERP, inventory), SEO, marketing, store migration or mobile responsive versions of your ecommerce platform.
Our e-commerce team consists of technical people, business analysts and marketing specialists with hands on experience in tailoring feature rich e-commerce solutions for companies that required modern design, a rich user experience, huge data volumes and integration with additional systems, all this done following the latest industry trends. Our focus is mostly on Magento development.
Big Data Done Right by Successful OrganizationsEuro IT Group
Euro IT Group can help you unlock the tones of information already flowing through your organization, analyze it, extract value and transform it into insight that drives growth and revenue. Furthermore, by going through one of our big data quick wins programs, you will be able to enjoy the benefits of big data extremely fast, test and validate big data technologies and make better strategic decisions for managing your overall company data; our quick win program enables you to enjoy quickly new insights and measurable results by putting at work your existing data streams and to test and validate Big Data Technologies that can complement your legacy BI / DWH infrastructure.
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.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
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/
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
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.
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.
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.
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
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
2. 1. Big data & analytics
2. Mobility
3. Cloud computing
4. Telematics/IoT
What’s hot in insurance
3. A few things about cloud
What the big guys say about cloud
Cloud benefits
Cloud Computing across insurance value chain
Deploying cloud computing in insurance
Cloud workloads functions
Cloud concerns
Specific use cases
Cloud computing in insurance
4. A few things about the cloud
Rapid
deployment
Variable cost,
price per use
model
Lower ongoing
operating costs than
IT owned and
managed in-house
Cloud enables insurers to
reuse IT resources more
efficiently, extending into
the complete business
infrastructure
Limited or no CAPEX
Highly
adaptable and
scalable
Best option in
peak moments
Cloud changes the way insurers create and deliver
products and services, reach and interact with
customers, collaborate with partners, manage their value
chains, assess and manage risk, and generate
revenues.
“Cloud computing is part of our growth strategy. It could materially change how we develop applications and apply
technology to business, especially when it comes to cost structure, investment and agility...Cloud computing is not just an
external service, it is also internal. We are looking at evolving a hybrid model and developing our own internal cloud
computing capabilities”. Vincent Cohan, SVP & Chief Technology Officer and Sauro Nicli, Global Information Officer, AXA
5. Cloud in Insurance Facts
Lower-cost and/or
higher- efficiency
Capture real-time
intelligence about an
accident situation through
mobile devices and mobile
applications
Customer centricity
through unified customer
data
Sales enablement - place email and whiteboard
applications in the cloud so sales agents, employees,
field representatives and developers can collaborate in
real time, regardless of the device they use
Provision and scale computing
resources to meet periodic demand
for actuarial and financial workloads.
Support agent
management,
including sales
document
Support critical
functions such as
billing and
underwriting
Enables a service oriented business models and
applications that give access to new customers
and markets & increase customer loyalty and
retention
Support for the
integration with third
parties/agency
systems
Preserve data for
audits
ING is very keen to deploy cloud computing technology — essentially the separation of applications from the underlying
infrastructure — and to get to a point where technology is a service easily, efficiently and effectively provided to the
company, regardless of location. In order to persuade the business that virtualization and cloud computing is the way
forward, we have had to focus strongly on the business benefits — scalability, flexibility and cost” Tony Kerrison, Head of
Infrastructure Services, ING N.V.
7. Cloud computing opportunities for insurers
Source: Accenture
BPO offerings from
various vendors
Various solutions
from vendors
SAP ERP
Oracle Apps
MS Office/
Exchange
Windows/.NET
Linux/Solaris
J2EE
Buying
hardware
Salesforce.com
Workday
Oracle on Demand
Google Apps
Microsoft Dynamics
CRM
Force.com
Windows Azure
Google Apps Engine
Buying computing time
Amazon EC2
vCloud
IMB Blue Cloud
Traditional
solutions
Cloud solutions
8. Deploying Cloud computing across insurance value chain
Insurers use a mix of cloud services delivery models based on price, risk and
standardization
Source: Capgemini Analysis
9. Cloud Workloads Characteristics for insurers
Workload/functions
Business Processes as
a Service
Software as a
Service
Infrastructure as
a Services
Private
Infrastructure as a
Service
Development & testing
Information sensitive
Mission critical
Collaboration
High data volume & analytics
High compute volume & analytics
Relatively disconnected functions
Suitable Average Bad
10. Cloud concerns
Security
Interoperability
of analytics
Data governance - quality control discipline for
assessing, managing, using, improving,
monitoring, maintaining and protecting your
organizational information
Application integration Reliability
Data aggregation and integration - The information needed for analytics is often
stored in multiple databases within your enterprise, on the cloud and in different
geographic locations.
11. How insurers use the cloud?
Windows
Azure
Disaster Protection - Generali US Branch wanted better disaster protection for its business
due to local weather extremes. The insurance provider is using Microsoft Azure Site Recovery to
replicate its virtual servers and data to the cloud, eliminating disaster-caused interruption,
reducing disaster recovery (DR) costs by 65%, and can easily test its DR setup.
Windows
Azure
Disaster recovery - Microsoft Azure StorSimple helps them meet compliance requirements of
keeping one set of data backup image offshore at a low cost. The solution integrates SAN
storage on-premise with automated data protection in the cloud, while enabling geo-replication
of data both locally and from Microsoft’s datacenters overseas.
Windows
Azure
High performance - Milliman uses Windows Azure to distribute highly complex, mission-
critical computing tasks across cloud-based resources. The result is supercomputer-level
processing capability that is enormously scalable and powerful, yet can be delivered at a lower
cost and with fewer IT resources than through traditional on-premises IT deployments.
Amazon
WS
Traffic spikes support - The company built its health insurance platform and analytics
solution on AWS in just three months. By using AWS, the company can scale to support the
traffic spikes of open enrollment season as well as support more than 125 production changes
a day that continually improve customer experience.
Amazon
WS
Cost control - In an effort to control its IT costs, the company turned to AWS as part of a
hybrid computing environment, using the AWS cloud in combination with data centers in
California and Nebraska to run actuarial tasks that are used to set pricing and create new
products. Using AWS, Pacific Life can quickly scale up additional compute capacity with less
cost and IT overhead than by adding to its own data center assets, while benefitting from
built-in security features in AWS products that help Pacific Life with compliance issues.
13. • Broad experience in delivering complex services and solutions that integrate sales,
marketing, customer service and other processes to large insurers and brokers
• We have developed and successfully deployed a complete insurance solution, with
modular architecture, available on premise & on Cloud, bi-directional integrated
with SAP, Microsoft & Oracle
Insurance expertise
INSURANCE EXPERTISE
• Website/intranet development
• Self service portals
• Online policy selling
• Online claims management
• Enterprise e-learning and intranets
• Employee management & training
• operations support systems development
and deployment
• Mobility:
• Mobile apps development, SFA, document
management
• Big data and BI solutions
• CRM/ Sales Force Automation
• Business Process Management
EITG SOLUTION
• Product management
• Policy Management
• Accounts & intermediaries
• Underwriting
• Actuarial reports
• Billing and collection
• Financial Accounting
• Reinsurance
15. EITG Cloud Expertise
• Cloud & Virtualized ecosystem configuration & administration
• Amazon EC2 cloud based solution deployments, virtual
environments provisioning & administration
• Most important Windows Azure partner in an Eastern
European country with more than 5.000 end-users accessing
cloud based web and mobile solutions
• Azure Enterprise Agreement (EA) signed with Microsoft in
order to offer customers the benefits of cloud outsourced data
centers
• Multiple migration o the cloud projects for start-ups, SMEs and
large multinational corporations
• The complexity of the migration projects covered a large
array of server clusters:
• from several small machines to more than a hundred
machines per application
• Migrations covered both open-source and proprietary
technologies, single cloud and multi-cloud setups, single-
region and multi-region setups
16. Cloud Decision & Implementation ProcessPHASECONSIDERATIONSEITGSERVICES
Initial
Thoughts
Evaluating
Options Committed Implement Optimise Run
Platform Vendors
Scalability
T.C.O./R.O.I.
Timescale
Considerations
Business case
Why Cloud?
Is it right for me?
Is it secure?
Business impact?
Typical cost?
Time to implement?
Application review
Performance
analysis
Further Cloud
enabled
opportunities
Benefits realisation
Scale
Continuous
improvement
Cost management
Vendor
management
Service delivery
Independent advice
Analysis & Design
Technical Services
Support Services
Business case
approved
Cloud platform
selected
Contract process
Implementation
planning
Project planning
Greenfield
or Migrate
Business Impact
Risk Analysis
Architecture
Testing
Rollout
17. • Cloud Computing for Insurance, Inside the drive toward new business model, IBM
• How cloud computing will transform insurance – Using cloud to help drive future high
performance in the insurance industry, Accenture
• Sizing the cloud, Forrester Research
• The Future of Cloud Computing, Expert Group Report, European Commission
• Gartner, “A Quick Look at the cloud in the insurance industry”
• Cloud Computing in the Property & Casualty Insurance Industry, Capgemini
Resources