This week we'll be exploring cloud and hybrid Containers-as-a-Service (CaaS) deployment models, and we'll take a look at the IBM CaaS products and offerings. If you're new to cloud computing, you might have been put off by the overbearing amount of acronyms used. Just about everything is sold as a service (aaS) these days, even transportation.
To clarify some of the deployment models, let’s have a look at some of these aaS acronyms. IaaS is Infrastructure-as-a-Service, PaaS is Platform-as-a-Service, CaaS is Containers-as-a-Service, and FaaS is Serverless, which is also known as Function-as-a-Service.
Containers are ideal for application modernization and hybrid, multicloud scenarios because they’re lightweight and portable. With container services from IBM, built on open source technologies like Kubernetes, you can facilitate and accelerate your journey to the cloud. Use continuous integration and continuous delivery (CI/CD) tools to build and deploy your containerized applications in the cloud.
Orchestrate your containers with a managed Red Hat OpenShift or IBM Cloud Kubernetes service. Address most of your transformation needs with containerized IBM middleware and open source components found in our IBM Cloud Pak solutions.
IBM Cloud Paks for -
AI-Powered Hybrid Cloud Software
IBM Cloud Paks are AI-powered software that can help organizations build, modernize, and manage applications securely across any cloud.
They include pre-certified containerized software and foundational services that provide customers with a common operations and integration framework. Built on Red Hat® OpenShift®, the market leader for open source, hybrid cloud platform¹, they provide a consistent experience for an infrastructure management control plane that includes AI, automation and security.
IBM Cloud Paks are designed to help you advance digital transformation with prediction, security, automation and modernization capabilities. They let you develop applications once and deploy them anywhere, integrate security across your IT landscape and automate operations with intelligent workflows. Deploy them across any cloud to accelerate development, deliver seamless integration and enhance collaboration and efficiency.
Gain Agility & Flexibility
Make your data, applications and workflows work for you, wherever you are.
Accelerate AI & Automation
Deliver software and insights faster with an intelligent control plane powered by AI.
Innovate with Confidence
Co-innovate with thousands of IBM industry and technical experts.
Accelerate development by up to 66% using IBM and Red Hat solutions together.²
Reduce processing time by 60% by leveraging hyperautomation to boost productivity.³
Release 6x more innovations in market with IBM Garage™.⁴
Modernize w Ease
Our pre-integrated containerized software and solutions simplify modernization from the data center all the way to the edge. Take advantage of enterprise-grade, cloud-native technologies from IBM and our rich ecosystem of software and SaaS Partners offering access to over 70 ISV tools in Red Hat Marketplace (link resides outside of IBM) for easy deployment.
Become a more predictive enterprise by collecting, organizing, and analyzing data regardless of its type or location. Our data and AI capabilities with cross-industry and vertical AI applications use the power of IBM® Watson® to simplify and accelerate your AI journey.
Automate at scale
Whether it’s automating repetitive tasks or more complex operations, we can help you implement a variety of intelligent workflows into your business through machine learning and AI. This helps improve productivity and quality of outcomes for employees and customers alike.
We make security an integral part of our software. Mitigate threats while managing risk and compliance throughout your enterprise all without moving your data. We can help you more quickly integrate your existing security tools to gain a deeper understanding of the risks facing your environment, orchestrate actions and automate responses.
IBM believes the trend toward hybrid, multicloud environments and the rise of remote work have made it more challenging for businesses to secure their data. Yet data security has never been more critical — or costly. Organizations that put in place intelligent security solutions across their
infrastructures will be better able to mitigate threats, reduce costs and transform.
In 2020, the average cost of a data breach was $3.86 million. In the tech industry, the average cost was $5.04 million.
The average time to identify and contain a data breach was 280 days.
Using an AI platform to help manage security could lower the average cost of a data breach by $195,562.
Protect your business against threats while also managing risk and compliance throughout the enterprise. Using an infrastructure-independent common operating environment that runs anywhere, security capabilities from IBM are designed to help you quickly integrate your existing security tools to generate deeper insights into threats and risks across hybrid, multicloud environments. You can search for threats, orchestrate actions and automate responses — all while leaving your data where it is.
For those who have submitted an insurance claim for damages done to their vehicle in the past, you may remember the arduous process you had to endure. The COVID-19 pandemic has pushed all generations of consumers to rely on digital channels to get access to the products and services of their choice, from the Millennials who want to transact on their smartphones to the Silent Generation. 64% of customers expect their insurers to understand them well but only 30% of policyholders have positive customer experiences with their insurers.
Introducing Intelligent Automation for Insurance Claims
At Think 2021, IBM introduced the Intelligent Automation Solution for Insurance Claims. It is enabled by IBM Cloud Paks to help insurance companies be nimbler and more innovative. It uses hyperautomation technologies like process mining, robotic process automation (RPA), artificial intelligence (AI) and natural language processing elements to reorchestrate front-office, core and back-office insurance processes. This helps organizations automate enterprise-wide workflows, accelerate the claims process and, ultimately, deliver a better customer experience.
In this tutorial, you will:
Perform Data Visualization w Data Refinery
Find, Prep & Understand Data w Watson Knowledge Catalog
Perform Data Analysis, Model Building & Deploy w Watson Machine Learning
Automate Model Building w AutoAI
Build a Predictive Machine Learning Model w IBM SPSS Modeler
Monitor the Model w Watson OpenScale
For More Hands-On Learning, Check Out the Accompanying Workshop Recording!
I hope you all had a very safe and wonderful holiday weekend! See you next week!
Connect w Me!