#AmazonQDeveloper

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Bolttech Improves Customer Experience with AWS Generative AI

Bolttech

Bolttech powers hyper-personalized customer services with AWS generative AI.

Bolttech, a Singapore-based insurtech company, said today that it is integrating Amazon Web Services (AWS) Gen AI technology into its internal and customer operations. The project aims to cut costs, boost efficiency, and personalise client experiences.

Bolttech GenAI Factory, a Gen AI platform using Amazon Bedrock, serves millions of users in 37 countries on four continents. Bolttech's Amazon Connect-powered omni-channel customer experience solution will benefit from this platform. Bolttech's internal teams will use the GenAI Factory to develop and deploy Gen AI apps in addition to customer interactions.

As a first GenAI Factory application, Bolttech's chatbots have advanced speech-to-speech capabilities. This connection is meant to promote natural multilingual customer conversations. This is tested in Korean first. The service provides tailored, real-time insurance policy replies in local languages. It can answer simple to complex enquiries with practically rapid responses. Human agents can focus on higher-value interactions by automating monotonous tasks like claims processing with the software. This should improve operational efficiency and Bolttech's international customer service.

“At Bolttech, it remains steadfast in the vision to connect people with more ways to protect the things they value,” stated Philip Weiner, Asia CEO, concerning the cooperation. The right data and AI infrastructure are needed to achieve this ambition, he said. Weiner claims that AWS's cloud computing and Gen AI services, such as Amazon Bedrock, provide the framework for accessing a variety of model options, excellent price-performance ratios, and strong enterprise trust and safety features that Bolttech needs.

Weiner stressed that having many AI models, like Amazon Nova, encourages speedy innovation to improve consumer experiences. Agentic AI can deliver near-human AI interactions, real-time policy explanations, and quick claims processing. His conclusion was that this relationship allows Bolttech to provide its partners and clients more options and cutting-edge security solutions.

The Bolttech GenAI Factory drives enterprise-wide innovation beyond call centre augmentation and claims settlement. It lets internal teams build and deploy Gen AI apps. These apps encompass product design, customer assistance, underwriting, and claims processing along the insurance value chain.

Bolttech will use AWS's infrastructure to improve its client product offerings' prediction, prevention, and recovery with AI.

AI is used to improve risk assessment and deliver personalised insurance products like real-time vehicle insurance price changes based on driving behaviour prediction.

AI-driven early warning systems for cyberattacks, natural disasters, and other threats are the core goal of prevention. Policyholders can prevent losses by adopting precautions.

Recovery entails using AI-powered chatbots and virtual assistants to accelerate up claims processing and help policyholders immediately after an occurrence.

These changes should lower loss ratios over time and provide speedy, complete recovery and remediation after inevitable loss events.

According to Priscilla Chong, Country Manager, AWS Singapore, the Southeast Asian insurance business is using generative AI and new cloud technologies to make asset protection simpler, more accessible, and cheaper. She noted Bolttech, which uses generative AI to improve client experiences, operational efficiency, and global insurance service innovation. Chong said AWS is pleased to cooperate with Bolttech and that AWS's model-neutral, choice-based philosophy gives AI-first clients AI-powered ease.

Bolttech also uses AWS to accelerate time to market and simplify software development. According to sources, Amazon Q Developer experimental use cases have benefits. Bolttech saved over 50% of development time by updating code documentation files. Amazon Q Developers learnt codebases faster.

It quickly analyses large file sets and returns low-level details and high-level intents, speeding learning. Amazon Q Developer works well with Bolttech's main programming languages, Python and JavaScript, making it suitable for data scientists and backend and frontend developers. This avoids key distractions and lets Bolttech developers code and multitask.

As noted in previous updates, Bolttech's extensive usage of AWS Gen AI capabilities enables its international expansion and strategic relationships. Bolttech prioritises AI-driven customisation, efficiency, and product innovation to improve its platform and protective product delivery.

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Discover AWS Systems Manager Cross-Account Management

What is AWS Systems Manager?

AWS Systems Manager is a solution that facilitates the management, viewing, and control of your infrastructure in multicloud, on-premises, and AWS settings.

AWS Systems Manager’s advantages

Boost visibility throughout your whole node infrastructure

A consolidated view of all the nodes across the accounts and regions of your company is offered by AWS Systems Manager. Get node information quickly, including its name, ID, installed agents, operating system information, and tags. You may find problems and act more quickly by using Amazon Q Developer to query node metadata in natural language.

Use automation to increase operational efficiency

Reduce the time and effort needed to maintain your systems by automating routine operational chores. Systems Manager eliminates the need for remote PowerShell, SSH, or bastion hosts by enabling you to safely and securely manage your nodes at scale without logging into your servers. It offers a straightforward method for automating routine operational tasks, like software and patch installations, registry modifications, and user administration, across groups of nodes.

Make node management easier at scale in any setting

Any AWS, on-premises, or multicloud environment can run the Systems Manager Agent (SSM Agent), enabling Systems Manager to offer out-of-the-box visibility and simplifying managed node maintenance. Set up diagnostics to run automatically in order to find problems with the SSM Agent. Issues with pre-defined runbooks can then be fixed. Once under control, nodes can efficiently carry out vital operational functions including remotely executing commands, starting logged sessions, and patching nodes with security updates.

Tools

You can use the entire suite of AWS Systems Manager tools to securely connect to nodes without managing bastion hosts or SSH keys, patch nodes with security updates, automate operational commands at scale, and obtain thorough fleet visibility once your nodes are managed by Systems Manager.

Use cases

Control every node you have

Gain thorough insight into your hybrid and multicloud systems, as well as your node infrastructure across Amazon Web Services accounts and regions. Rapidly detect and resolve agent problems to restore unmanaged nodes and efficiently carry out crucial operational duties, such applying security updates to nodes, starting and recording sessions, or executing operational commands.

Automate your processes

Make your computational resources available, configure them, and deploy them automatically. To address common problems like misconfigured agents, keep infrastructure up to date with SSM Agent diagnosis and remediation. Execute essential operational activities, like automatically applying fixes for applications and operating systems on a regular basis.

Increase the effectiveness of operations

Prioritize increasing operational effectiveness, cutting expenses, and growing your company. Across your hybrid and multicloud setups, AWS Systems Manager is your enterprise-grade solution for managing nodes at scale with cross-account and cross-region visibility.

Presenting a fresh AWS Systems Manager experience

AWS is presenting an enhanced version of AWS Systems Manager today, which offers the much-desired cross-account and cross-region experience for large-scale node management.

All of your managed nodes, including different kinds of infrastructure like Amazon Elastic Compute Cloud (EC2) instances, containers, virtual machines on other cloud providers, on-premise servers, and edge Internet of Things (IoT) devices, can be seen centrally with the new System Manager experience. When they are linked to Systems Manager and have the Systems Manager Agent (SSM Agent) installed, they are called “managed nodes.”

A node is referred to be a “unmanaged node” if an SSM Agent ceases operating on it for any reason, at which point Systems Manager no longer has access to it. The latest version of Systems Manager also makes it easier to find and troubleshoot unmanaged nodes. To resolve any problems and restore connectivity so they can once more be managed nodes, you may run and even schedule an automated diagnosis that gives you suggested runbooks to follow.

Amazon Q Developer, the most powerful generative AI-powered software development helper, has also been integrated with Systems Manager. Using natural language, you may ask Amazon Q Developer questions about the nodes you’ve handled. You’ll receive quick answers and links to the Systems Manager where you can take action or carry out more research.

With the new interface with Systems Manager in this edition, you can also leverage AWS Organizations to enable a delegated administrator to centrally manage nodes throughout the business.

AWS Systems Manager pricing

You can monitor and fix operational problems with all of your AWS applications and resources, including Amazon Elastic Compute Cloud (EC2), Amazon Relational Database Service (RDS), Amazon Elastic Container Service (ECS), and Amazon Elastic Kubernetes Service (EKS) instances, as well as in multicloud and hybrid environments, using the unified user interface that AWS Systems Manager offers. With AWS Systems Manager, you may begin using the benefits of the AWS Free Tier without paying a dime. No upfront obligations or minimum costs apply. There may be restrictions.

AWS Free Tier

The following functionalities of AWS Systems Manager are available to you for free as part of the AWS Free Tier. There may be restrictions.

Explorer

Enabling Explorer does not incur any further fees. There may be restrictions.

The dashboard of Explorer is populated by paid OpsCenter APIs (GetOpsSummary). These API queries will incur fees. The Export to CSV option uses an aws:executeScript action step to run an Automation document. The cost of these actions may be determined by Automation pricing.

For more details please visit the AWS systems manager pricing page.

In conclusion

Gaining visibility and control over your computing infrastructure and carrying out operational tasks at scale need the use of Systems Manager. Through a centralized dashboard, the new experience provides a centralized view of all your nodes across AWS accounts, on-premises, and multicloud environments. It also integrates Amazon Q Developer for natural language queries and allows one-click SSM Agent troubleshooting. By going to the Systems Manager panel and following the simple steps, you may activate the new experience without paying more.

What is AWS Systems Manager?

AWS Systems Manager is a solution that facilitates the management, viewing, and control of your infrastructure in multicloud, on-premises, and AWS settings.

AWS Systems Manager’s advantages

Boost visibility throughout your whole node infrastructure

A consolidated view of all the nodes across the accounts and regions of your company is offered by AWS Systems Manager. Get node information quickly, including its name, ID, installed agents, operating system information, and tags. You may find problems and act more quickly by using Amazon Q Developer to query node metadata in natural language.

Use automation to increase operational efficiency

Reduce the time and effort needed to maintain your systems by automating routine operational chores. Systems Manager eliminates the need for remote PowerShell, SSH, or bastion hosts by enabling you to safely and securely manage your nodes at scale without logging into your servers. It offers a straightforward method for automating routine operational tasks, like software and patch installations, registry modifications, and user administration, across groups of nodes.

Make node management easier at scale in any setting

Any AWS, on-premises, or multicloud environment can run the Systems Manager Agent (SSM Agent), enabling Systems Manager to offer out-of-the-box visibility and simplifying managed node maintenance. Set up diagnostics to run automatically in order to find problems with the SSM Agent. Issues with pre-defined runbooks can then be fixed. Once under control, nodes can efficiently carry out vital operational functions including remotely executing commands, starting logged sessions, and patching nodes with security updates.

Tools

You can use the entire suite of AWS Systems Manager tools to securely connect to nodes without managing bastion hosts or SSH keys, patch nodes with security updates, automate operational commands at scale, and obtain thorough fleet visibility once your nodes are managed by Systems Manager.

Use cases

Control every node you have

Gain thorough insight into your hybrid and multicloud systems, as well as your node infrastructure across Amazon Web Services accounts and regions. Rapidly detect and resolve agent problems to restore unmanaged nodes and efficiently carry out crucial operational duties, such applying security updates to nodes, starting and recording sessions, or executing operational commands.

Automate your processes

Make your computational resources available, configure them, and deploy them automatically. To address common problems like misconfigured agents, keep infrastructure up to date with SSM Agent diagnosis and remediation. Execute essential operational activities, like automatically applying fixes for applications and operating systems on a regular basis.

Increase the effectiveness of operations

Prioritize increasing operational effectiveness, cutting expenses, and growing your company. Across your hybrid and multicloud setups, AWS Systems Manager is your enterprise-grade solution for managing nodes at scale with cross-account and cross-region visibility.

Presenting a fresh AWS Systems Manager experience

AWS is presenting an enhanced version of AWS Systems Manager today, which offers the much-desired cross-account and cross-region experience for large-scale node management.

All of your managed nodes, including different kinds of infrastructure like Amazon Elastic Compute Cloud (EC2) instances, containers, virtual machines on other cloud providers, on-premise servers, and edge Internet of Things (IoT) devices, can be seen centrally with the new System Manager experience. When they are linked to Systems Manager and have the Systems Manager Agent (SSM Agent) installed, they are called “managed nodes.”

A node is referred to be a “unmanaged node” if an SSM Agent ceases operating on it for any reason, at which point Systems Manager no longer has access to it. The latest version of Systems Manager also makes it easier to find and troubleshoot unmanaged nodes. To resolve any problems and restore connectivity so they can once more be managed nodes, you may run and even schedule an automated diagnosis that gives you suggested runbooks to follow.

Amazon Q Developer, the most powerful generative AI-powered software development helper, has also been integrated with Systems Manager. Using natural language, you may ask Amazon Q Developer questions about the nodes you’ve handled. You’ll receive quick answers and links to the Systems Manager where you can take action or carry out more research.

With the new interface with Systems Manager in this edition, you can also leverage AWS Organizations to enable a delegated administrator to centrally manage nodes throughout the business.

AWS Systems Manager pricing

You can monitor and fix operational problems with all of your AWS applications and resources, including Amazon Elastic Compute Cloud (EC2), Amazon Relational Database Service (RDS), Amazon Elastic Container Service (ECS), and Amazon Elastic Kubernetes Service (EKS) instances, as well as in multicloud and hybrid environments, using the unified user interface that AWS Systems Manager offers. With AWS Systems Manager, you may begin using the benefits of the AWS Free Tier without paying a dime. No upfront obligations or minimum costs apply. There may be restrictions.

AWS Free Tier

The following functionalities of AWS Systems Manager are available to you for free as part of the AWS Free Tier. There may be restrictions.

Explorer

Enabling Explorer does not incur any further fees. There may be restrictions.

The dashboard of Explorer is populated by paid OpsCenter APIs (GetOpsSummary). These API queries will incur fees. The Export to CSV option uses an aws:executeScript action step to run an Automation document. The cost of these actions may be determined by Automation pricing.

For more details please visit the AWS systems manager pricing page.

In conclusion

Gaining visibility and control over your computing infrastructure and carrying out operational tasks at scale need the use of Systems Manager. Through a centralized dashboard, the new experience provides a centralized view of all your nodes across AWS accounts, on-premises, and multicloud environments. It also integrates Amazon Q Developer for natural language queries and allows one-click SSM Agent troubleshooting. By going to the Systems Manager panel and following the simple steps, you may activate the new experience without paying more.

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Customise Amazon Q Developer With Your Private Code In IDE

Amazon Q Developer guide

AWS is releasing a preview of chat customisation today, along with the general availability of the customisation feature for inline code completion in Amazon Q Developer (in your IDE). Now, in the IDE code editor and chat, you can set up Amazon Q to recommend specific code from private code repositories.

A coding companion with artificial intelligence (AI) is Amazon Q Developer. By providing code recommendations in integrated development environments (IDEs) based on pre-existing comments and code, it aids software engineers in speeding up the development of applications. Large language models (LLMs) that have been trained on billions of lines of code from open source and Amazon sources are used in the background by Amazon Q.

You can download the extension for JetBrains, Visual Studio Code, and Visual Studio (preview) and find Amazon Q in your IDE. You can write complete functions from a remark you enter, or it can suggest code as you type in the IDE text editor. Additionally, Q Developer allows you to speak with it and request code generation for particular jobs or explanations of code snippets from code bases you’re discovering.

Developers can now get even more pertinent code recommendations based on internal libraries, APIs, packages, classes, and methods of their company thanks to the new customisation feature.

Let’s take an example where a developer employed by a financial organisation is assigned to design a function that calculates a customer’s overall portfolio worth. Amazon Q will now recommend code to create the function based on examples it learnt from your company’s proprietary code base. The developer can now explain the intent in a comment or type a function name like computePortfolioValue(customerId: String).

In the conversation, the developer can also pose inquiries regarding the code used by their company. Assume for the purposes of this example that the developer in question is a new member of the team and is unable to obtain a customer ID. He is able to ask in simple English in the chat window: “How do a connect to the database in order to get the customerId for a particular customer?” Q&A on Amazon could respond: A discovered a function that uses the database connection XYZ to retrieve customerId based on the customer’s first and last name.

Using your internal git repositories (like GitHub, GitLab, or BitBucket) or an Amazon Simple Storage Service (Amazon S3) bucket, you as an administrator build customisations. It assists Amazon Q in comprehending the purpose, identifying the public and internal APIs that are most appropriate for the job, and producing code recommendations.

With its high data privacy and security, Amazon Q customisation capabilities lives up to your expectations from AWS. Your company retains private access to the code base that you share with Amazon Q. Their foundation model is not trained using it. After customisations are implemented, your organization’s developers can only access the inference endpoint in private. You won’t see recommendations in the developer IDE of another company based on your code. You control which developers have access to each specific customisation, and you can monitor metrics to assess how well your deployed customisations are working.

AWS capacity to customise Amazon Q was developed using cutting-edge technology methods including Retrieval Augmented Generation (RAG). Further information on the science underlying the Amazon Q customisation feature may be found in this incredibly thorough blog post.

Two new features have been added since AWS released the preview on October 17 of last year: updating a customisation and customising the IDE chat.

You want Amazon Q to consistently recommend the most recent code snippets because your organization’s code base is continuously changing. The AWS Management Console now allows an Amazon Q administrator to initiate an update procedure in just one step. In order to guarantee that developers always receive extremely accurate code suggestions, administrators can plan regular updates based on the most recent contributions on code repositories.

Developers in your company can select a section of code in their IDE and send it to the chat to get an explanation of what the selected code does using the new chat customisation feature (in preview). Additionally, developers can pose general queries about the code base of their company, such as “How do a connect to the database to retrieve customerId for a specific customer?”

Amazon Q For Developer

AWS choose to highlight the recently added customisation update feature that is currently widely accessible in this demo.

You go to the Customisations part of the Amazon Q console website in order to update an existing customisation. You choose which customisation you wish to change. Then you choose to Create new version under Actions.

Depending on how much code needs to be ingested, creating a new version of the customisation could take some time. A new version is available under the Versions page once it’s ready. You can choose whether to activate the new version so that your developers can use it by comparing its Evaluation score with that of the previous versions. Return to an older version anytime.

You monitor User activity on the Dashboard page. You’re able to keep track of many metrics, such as the number of daily active users, lines of code written, security scans conducted, and so forth. If, you are a former user of Amazon CodeWhisperer Professional, you may still see the CodeWhisperer name on some pages when using it today. It will gradually give way to the new moniker, Amazon Q Developer. More metrics are produced by Amazon Q and posted on Amazon CloudWatch.

Programming languages that are supported

At the moment, codebases with Python, JavaScript, TypeScript, and Java written in them can alter Amazon Q suggestions. When building the customisation or making customised recommendations in the IDE, files written in other languages supported by Amazon Q such as C#, Go, Rust, PHP, Ruby, Kotlin, C, C++, Shell scripting, SQL, and Scala will not be used.

Amazon Q developer pricing

AWS Region agnostic, developers can access Amazon Q globally. At the moment, Amazon Q is hosted in the US East (North Virginia). If your AWS IAM Identity Centre is located in a different Region, Amazon Q administrators have the ability to set up Amazon Q as an approved cross-region application.

The Amazon Q Developer Professional subscription includes free access to the Amazon Q customisation feature. Per AWS account, you can build and maintain up to eight customisations, two of which can be active at any given time.

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