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This post presents a solution where you can upload a recording of your meeting (a feature available in most modern digital communication services such as Amazon Chime ) to a centralized video insights and summarization engine. This post provides guidance on how you can create a video insights and summarization engine using AWS AI/ML services.
In the first part of the series, we showed how AI administrators can build a generative AI software as a service (SaaS) gateway to provide access to foundation models (FMs) on Amazon Bedrock to different lines of business (LOBs). It also uses a number of other AWS services such as Amazon API Gateway , AWS Lambda , and Amazon SageMaker.
The software as a service (SaaS) platform offers out-of-the-box solutions for life, annuity, employee benefits, and institutional annuity providers. Verisk has embraced this technology and has developed their own Instant Insight Engine, or AI companion, that provides an enhanced self-service capability to their FAST platform.
These steps might involve both the use of an LLM and external data sources and APIs. Agent plugin controller This component is responsible for the API integration to external data sources and APIs. The LLM agent is an orchestrator of a set of steps that might be necessary to complete the desired request.
For more information about the SageMaker AI API, refer to the SageMaker AI API Reference. 8B-Instruct to DeepSeek-R1-Distill-Llama-8B, but the new model version has different API expectations. In this use case, you have configured a CloudWatch alarm to monitor for 4xx errors, which would indicate API compatibility issues.
A number of AWS independent software vendor (ISV) partners have already built integrations for users of their software as a service (SaaS) platforms to utilize SageMaker and its various features, including training, deployment, and the model registry.
Great examples of automated distribution include survey integrations and Application Programming Interface (API) connections. And, setting up APIs can link two applications to one another for data sharing/interacting purposes, making manual uploads a thing of the past. Create custom APIs for more complex use cases. Not to worry!
One aspect of this data preparation is feature engineering. Feature engineering refers to the process where relevant variables are identified, selected, and manipulated to transform the raw data into more useful and usable forms for use with the ML algorithm used to train a model and perform inference against it.
Programmatic setup Alternatively, you can create your labeling job programmatically using the CreateLabelingJob API. Whether you choose the SageMaker console or API approach, the result is the same: a fully configured labeling job ready for your annotation team. He has MBA from the Indian School of Business and B.
Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies, such as AI21 Labs, Anthropic, Cohere, Meta, Stability AI, and Amazon via a single API, along with a broad set of capabilities you need to build generative AI applications with security, privacy, and responsible AI.
It’s a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like Anthropic, Cohere, Meta, Mistral AI, and Amazon through a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.
There are unique considerations when engineering generative AI workloads through a resilience lens. If you’re performing prompt engineering, you should persist your prompts to a reliable data store. There are three general types of vector databases: Dedicated SaaS options like Pinecone.
And it’s really just part of a larger trend where all enterprise software has been moving to cloud architecture and SaaS pricing.). You shouldn’t think of it as an engineering diagram, but more a mental model to illustrate the “big picture”. All three layers offer API-powered, consumption-based, volume-discounted pricing.
In this post: What is SaaS? What sets SaaS apart? How does SaaS add value to CX? CX strategies that SaaS makes possible. What is SaaS? SaaS stands for Software as a Service. Software as a service (SaaS). SaaS is the most commonly used model. What sets SaaS apart? Virtualisation ? ? ?
These challenges led to the decision to create a new cloud-native system that can scale with increased demand and consists of serverless and software as a service (SaaS) components that externalize much of the domain-specific functionality to allow for easier operations and faster time-to-market for changes.
Job Opening: Sales Engineer. Our fast-growing startup is looking for a skilled, self-motivated problem solver to join our team as a Sales Engineer. As a Sales Engineer , you are the technical expert during the sales process. SaaS/Cloud experience strongly preferred. Strong verbal and written communications skills.
To classify and extract information needed to validate information in accordance with a set of configurable funding rules, Informed uses a series of proprietary rules and heuristics, text-based neural networks, and image-based deep neural networks, including Amazon Textract OCR via the DetectDocumentText API and other statistical models.
Since its launch a few months ago, the Visual Intelligence Platform has delivered analysis and insights within both TechSee’s products and via API integrations into third-party solutions like chatbots or workflows. The new VI Mobile SDK makes this possible. The VI Mobile SDK Advantages.
Deploy the model via Amazon Bedrock For production use, especially if you’re considering providing access to dozens or even thousands of employees by embedding the model into an application, you can deploy the models as API endpoints. Use the model You can access your fine-tuned LLM through the Amazon Bedrock console, API, CLI, or SDKs.
It’s a far cry from the expansive data engineering initiatives that likely still haunt your dreams. Most leading SaaS platforms have APIs and consider 3rd-party integrations to be a critical component of their value proposition. The world would be a beautiful place if all touchpoint data was available through APIs.
In our examples below, we’ve chosen to use a SaaS (software as a service) product that helps users build and design websites. Working with users who want to design sites using our API. Triaging technical tickets and bugs before they are sent to our engineering team. HTML, CSS, JavaScript, APIs, and debugging tools (i.e.,
In every interview, engineers ask: “What’s your Tech Stack, and what tools do you use?”. The Aircall engineering team is nearly 200 people, organized in agile teams owning different business domains like Telephony, User Management, Dashboard, Integrations, and so on, with more than 30 teams in total. SaaS Tools. Harvestr.io
We have developed a MONAI Deploy connector to AHI to integrate medical imaging AI applications with subsecond image retrieval latencies at scale powered by cloud-native APIs. AHI provides API access to ImageSet metadata and ImageFrames. Metadata contains all DICOM attributes in a JSON document.
Hear best practices for using unstructured (video, image, PDF), semi-structured (Parquet), and table-formatted (Iceberg) data for training, fine-tuning, checkpointing, and prompt engineering. Additionally, SaaS providers need scalable and cost-effective ways to serve hundreds of models to their customers. Reserve your seat now!
In a previous post , we talked about analyzing and tagging assets stored in Veeva Vault PromoMats using Amazon AI services and the Veeva Vault Platform’s APIs. The source or destination could be a SaaS application or an AWS service such as Amazon S3, Amazon Redshift , or Lookout for Metrics.
Align subscription-based or usage-based pricing models with long-term revenue strategies for SaaS or service-driven businesses. Use APIs and middleware to bridge gaps between CPQ and existing enterprise systems, ensuring smooth data flow. Implement event-driven architecture where updates in CRM (e.g.,
Boomi is an enterprise-level software as a service (SaaS) independent software vendor (ISV) that creates developer enablement tooling for software engineers. These tools integrate via API into Boomi’s core service offering. Markov chains are best known for their applications in web crawling and search engines.
Terraform is an IaC tool that allows you to manage AWS resources, software as a service (SaaS) resources, datasets, and more, using declarative configuration. Your data remains in the Region where the API call is processed. Tyler leads Terraform provider engineering at AWS and is a Core Contributor for Terraform.
One of their products is ExaDeploy , an easy-to-use SaaS solution to serve ML workloads at scale. On some large batch ML workloads, ExaDeploy has reduced costs by over 85% without sacrificing on latency or accuracy, with integration time as low as one engineer-day. Nicholas Jiang, Software Engineer, Exafunction.
Customer Operations means everything from Customer Success to Customer Support, Engineering Support, and Professional Services. I watched Account Management transform and evolve over the past few years, especially with the subscription-based economy and the growth of SaaS.
Prior to AWS, Michael led business development activities for B2B technology companies across semiconductors, SaaS, and autonomous trucking industries. He is currently focused on combining his background in software engineering, DevOps, and machine learning to help customers deliver machine learning workflows at scale.
APIs (Application Programming Interfaces) are used to publish content, product, and banners, for example. SaaS (software as a service) ecommerce platforms are highly recommended for companies that don’t want to deal with the IT infrastructure and coding part of having an online store. Ecommerce Platform: Hosted X Self-Hosted.
Let’s admit to the fact that it is the Recurring Revenue that is going to make or break your SaaS business and the three factors that are responsible for your SaaS Revenue growth are-. Upselling to existing customers , which is more or less the direct window to the Recurring Revenue for your SaaS Business. New Customers.
You will learn the needed software skills to acquire a software engineering job. Integrate React with advanced browser features, even geolocation API’s! WordPress REST API (AJAX). Bootstrap 4. Javascript ES6. DOM Manipulation. Bash Command Line. Git, GitHub and Version Control. Backend Web Development. Express.js.
CCC is a leading software-as-a-service (SaaS) platform for the multi-trillion-dollar property and casualty insurance economy powering operations for insurers, repairers, automakers, part suppliers, lenders, and more. Step-by-step solution Step 1 A client makes a request to the AWS API Gateway endpoint.
to model products/services and guide the user to valid configurations Pricing Engine: Applies pre-defined pricing rules, discounts, bundles, etc. This Software-as-a-Service (SaaS) approach delivers the same CPQ features on demand with a lower barrier to entry and speeds up deployment. What are some key benefits of CPQ cloud solutions?
Our detailed API Documentation , which helps customers build advanced implementations using their subscription data. Going through this exercise really energized the team, so we used the learnings to create SLAs for the whole team, including when the success team collaborates with product and engineering.
In the customer success industry this can be especially hard because CS is still a new and developing area in the SaaS world. You’ll need help from your engineering team, as well, to implement a new system. Another issue John mentions is API access. It takes significant long-term investment and commitment.
The Ekata Identity Engine (EIE), which powers our products, includes a graph database that houses billions of records, and a network that calculates real-time transactional patterns. The EIE is the first and only cross-border identity verification engine of its kind in the market. Scalable products.
With the emergence of the subscription economy and in particular in the SaaS industry, we have come to distinguish 2 main business activities that contribute to the growth of a company: Hunting and Farming. It is unthinkable to build a sustainable growth engine without a great osmosis between the Sales and the Success teams.
Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Stability AI, and Amazon through a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.
Analyst Dave Michels put it this way : “Vonage is becoming a SaaS and IP powerhouse” and later added : “Just look at Vonage and RingCentral – these two competitors were selling the same inContact solution … Resellers are fine, but the real opportunity is owning the stack.” He leads product management for Nexmo, the Vonage API Platform.
medium instance to demonstrate deploying LLMs via SageMaker JumpStart, which can be accessed through a SageMaker-generated API endpoint. You can request service quota increases through the console, AWS Command Line Interface (AWS CLI), or API to allow access to those additional resources. We use an ml.t3.medium
These customized ML models can either be deployed to the AWS Cloud using cloud APIs or to custom edge hardware using AWS IoT Greengrass. He previously provided Java virtual machine-focused consulting and project development as a software engineer at OCI on the Grails and Micronaut team.
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