IT Infrastructure Strategy: Enterprise Architecture Assessment
ConvergeOne
JUNE 13, 2023
To implement an infrastructure strategy, perform enterprise architecture reviews carefully. A well-designed strategy needs a solid roadmap.
enterprise-architecture 
Meet Sophie AI: The Future of Service
TechSee
SEPTEMBER 21, 2023
Generative AI will be transformative for every enterprise. This is the vision behind Sophie AI, the world’s first multisensory AI platform for the enterprise. As a Generative AI enterprise platform, Sophie AI is built to secularly observe, learn and interact at scale, helping your agents, engineers and end-customers.
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Build well-architected IDP solutions with a custom lens – Part 4: Performance efficiency
AWS Machine Learning
NOVEMBER 22, 2023
To build an enterprise solution, developer resources, cost, time and user-experience have to be balanced to achieve the desired business outcome. This means that the architecture needs to be adjusted by reviewing the architecture workflow, synchronous and asynchronous implementation, transactions per second (TPS) calculation, and more.
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Evolve to Cloud-Enforced Security to Empower Your Anywhere Workforce
Cisco - Contact Center
OCTOBER 26, 2023
Part 4 of the six-part series – The 2023 Global Networking Trends Report series The next generation of enterprise architecture has arrived. Organizations are moving away from a complex patchwork of b… Read more on Cisco Blogs
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New year, new CS: 2023 recap and what’s to come in 2024
Totango
JANUARY 3, 2024
Now, as we step into a new year, we’re witnessing an evolution of customer success, and there’s a new and improved Totango to help enterprise business leaders deliver business results and drive customer outcomes. showcasing, in our opinion, our strength of strategy and product offering for enterprise businesses.
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Build an image search engine with Amazon Kendra and Amazon Rekognition
AWS Machine Learning
MAY 5, 2023
Specifically, we use the example of architecture diagrams for complex images due to their incorporation of numerous different visual icons and text. The following figure shows an example diagram that illustrates an orchestrated extract, transform, and load (ETL) architecture solution. What images can be too complex to be searchable?
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Modernizing data science lifecycle management with AWS and Wipro
AWS Machine Learning
JANUARY 5, 2024
Its AI/ML solutions drive enhanced operational efficiency, productivity, and customer experience for many of their enterprise clients. Figure 1 – SageMaker offerings for ML workload migration Wipro defined an architecture that addresses the challenges in a cost-optimized and fully automated way.
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Accenture creates a regulatory document authoring solution using AWS generative AI services
AWS Machine Learning
FEBRUARY 6, 2024
The following diagram illustrates the solution architecture. Amazon SQS enables a fault-tolerant decoupled architecture. The solution also uses SageMaker notebooks (labeled T in the preceding architecture) to perform domain adaption, fine-tune the models, and deploy the SageMaker endpoints.
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Secure Amazon SageMaker Studio presigned URLs Part 1: Foundational infrastructure
AWS Machine Learning
JUNE 30, 2022
These traffic routing products generate their own source IP, whose IP range is not controlled by the enterprise customer. This makes it impossible for these enterprise customers to use the aws:sourceIp condition. The following diagram illustrates over-arching solution architecture. Set up the foundational architecture.
APIs 79
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Architect defense-in-depth security for generative AI applications using the OWASP Top 10 for LLMs
AWS Machine Learning
JANUARY 26, 2024
Understanding and addressing LLM vulnerabilities, threats, and risks during the design and architecture phases helps teams focus on maximizing the economic and productivity benefits generative AI can bring. Many customers are looking for guidance on how to manage security, privacy, and compliance as they develop generative AI applications.
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Provide live agent assistance for your chatbot users with Amazon Lex and Talkdesk cloud contact center
AWS Machine Learning
MARCH 29, 2024
Solution overview The following diagram illustrates the solution architecture. In the preceding architecture, the following sequence of steps takes place in a live customer/agent conversation: Using the Amazon Lex Web UI, a customer asks to be connected to an agent. Dependencies among each step are cross-referenced.
Foundational data protection for enterprise LLM acceleration with Protopia AI
AWS Machine Learning
DECEMBER 5, 2023
New and powerful large language models (LLMs) are changing businesses rapidly, improving efficiency and effectiveness for a variety of enterprise use cases. AWS is especially well suited to provide enterprises the tools necessary for deploying LLMs at scale to enable critical decision-making.
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How BigBasket improved AI-enabled checkout at their physical stores using Amazon SageMaker
AWS Machine Learning
FEBRUARY 13, 2024
We used a convolutional neural network (CNN) architecture with ResNet152 for image classification. The following diagram illustrates the solution architecture. The model network consists of a ResNet 152 architecture followed by fully connected layers.
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Enhancing AWS intelligent document processing with generative AI
AWS Machine Learning
AUGUST 3, 2023
The following architecture uses Amazon Textract for accurate text extraction from any type of document before sending it to FMs for further processing. Highly unstructured documents are common in big enterprises. The sample application used in the preceding architecture is driven by events. He is based in Boston, MA.
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Expedite your Genesys Cloud Amazon Lex bot design with the Amazon Lex automated chatbot designer
AWS Machine Learning
MARCH 1, 2024
In this post, we show how you can implement an architecture using Amazon EventBridge , Amazon Simple Storage Service (Amazon S3), and AWS Lambda to automatically collect, transform, and load your Genesys call transcripts in the required format for the Amazon Lex automated chatbot designer. Download the GitHub repo and unzip to your directory.
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Harnessing the power of enterprise data with generative AI: Insights from Amazon Kendra, LangChain, and large language models
AWS Machine Learning
NOVEMBER 7, 2023
Furthermore, the cost to train new LLMs can prove prohibitive for many enterprise settings. Amazon Kendra with foundational LLM Amazon Kendra is an advanced enterprise search service enhanced by machine learning (ML) that provides out-of-the-box semantic search capabilities. We have provided this demo in the GitHub repo.
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Accenture creates a Knowledge Assist solution using generative AI services on AWS
AWS Machine Learning
SEPTEMBER 28, 2023
Enterprises today face major challenges when it comes to using their information and knowledge bases for both internal and external business operations. Although enterprise knowledge bases have, over time, improved the customer experience, they can still be cumbersome and difficult to use.
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Reinventing the data experience: Use generative AI and modern data architecture to unlock insights
AWS Machine Learning
JUNE 13, 2023
Implementing a modern data architecture provides a scalable method to integrate data from disparate sources. Organizations can maximize the value of their modern data architecture with generative AI solutions while innovating continuously. The following diagram illustrates the architecture.
APIs 72
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Use AWS PrivateLink to set up private access to Amazon Bedrock
AWS Machine Learning
OCTOBER 30, 2023
When building such generative AI applications using FMs or base models, customers want to generate a response without going over the public internet or based on their proprietary data that may reside in their enterprise databases. He has over 3 decades of experience architecting and building distributed, hybrid, and cloud applications.
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Build well-architected IDP solutions with a custom lens – Part 1: Operational excellence
AWS Machine Learning
NOVEMBER 22, 2023
By using the Framework, you will learn operational and architectural best practices for designing and operating reliable, secure, efficient, cost-effective, and sustainable workloads in the cloud. This elevates operational excellence from a backend goal to a strategic asset, one that is integral to the success of the entire enterprise.
Build a receipt and invoice processing pipeline with Amazon Textract
AWS Machine Learning
MARCH 26, 2024
We also provide a reference architecture to build an invoice automation pipeline that enables extraction, verification, archival, and intelligent search. Solution overview The following architecture diagram shows the stages of a receipt and invoice processing workflow. About the Authors Sushant Pradhan is a Sr.
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How VistaPrint delivers personalized product recommendations with Amazon Personalize
AWS Machine Learning
MARCH 11, 2024
The new VistaPrint personalized product recommendation system Figure 1 As seen in Figure 1, the steps in how VistaPrint provides personalized product recommendations with their new cloud-native architecture are: Aggregate historical data in a data warehouse. Mouloud Lounaci leads the Engineering team for Marketing Optimization at Vista.
Build a vaccination verification solution using the Queries feature in Amazon Textract
AWS Machine Learning
JANUARY 22, 2024
Solution overview The following diagram illustrates the solution architecture. He works with AWS customers and partners to provide guidance on enterprise cloud adoption, migration, and strategy. The workflow includes the following steps: The user takes a photo of a vaccination card.
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Slack delivers native and secure generative AI powered by Amazon SageMaker JumpStart
AWS Machine Learning
APRIL 18, 2024
Because trust is Slack’s most important value, Slack AI runs on an enterprise-grade infrastructure they built on AWS, upholding the same security practices and compliance standards that customers expect. The following diagram illustrates the solution architecture. Gene Ting is a Principal Solutions Architect at AWS.
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The Power and Versatility of Drupal Development: Unlocking Innovative Solutions
CSM Magazine
JANUARY 24, 2024
This approach allows enterprises to receive strategically important solutions to achieve their business goals. As an open-source system, Drupal presents limitless possibilities for enterprises, empowering them to transcend size and complexity constraints.
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Optimize for sustainability with Amazon CodeWhisperer
AWS Machine Learning
NOVEMBER 8, 2023
times more energy efficient than the median of surveyed US enterprise data centers and up to 5 times more energy efficient than the average European enterprise data center. His knowledge ranges from application architecture to big data, analytics, and machine learning.
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Introducing an image-to-speech Generative AI application using Amazon SageMaker and Hugging Face
AWS Machine Learning
MAY 19, 2023
In this blog post we walk you through the Solution Architecture behind “Describe For Me”, and the design considerations of our solution. Solution Overview The following Reference Architecture shows the workflow of a user taking a picture with a phone and playing an MP3 of the captioning the image.
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Build an end-to-end MLOps pipeline for visual quality inspection at the edge – Part 2
AWS Machine Learning
OCTOBER 2, 2023
In Part 1 of this series, we drafted an architecture for an end-to-end MLOps pipeline for a visual quality inspection use case at the edge. If you’re particularly interested in the edge deployment aspect of the architecture, you can skip ahead to Part 3. If you haven’t read it yet, we recommend checking out Part 1.
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Boost your content editing with Contentful and Amazon Bedrock
AWS Machine Learning
MARCH 22, 2024
Before joining AWS, he worked for AWS customers and partners in software engineering, consulting, and architecture roles for 8+ years. Matt’s background includes eCommerce, enterprise search, personalization, and marketing automation. He partners with software companies to architect and implement cloud-based solutions on AWS.
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The Importance of Redundancy for Business Continuity
TeleDirect
MAY 4, 2020
Is your enterprise prepared with rapid, reliable business continuity planning? We’ve built our hard-earned reputation with superior BPO services, based on fault-tolerant web architectures, strategic cloud services and Amazon Web Services (AWS) to ensure anytime connectivity and unmatched reliability. Disaster inevitably strikes.
Build a powerful question answering bot with Amazon SageMaker, Amazon OpenSearch Service, Streamlit, and LangChain
AWS Machine Learning
MAY 25, 2023
One of the most common applications of generative AI and large language models (LLMs) in an enterprise environment is answering questions based on the enterprise’s knowledge corpus. We can use the same architecture to swap the open-source models with the Amazon Titan models. Chunking of knowledge base documents.
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Talking Conversational AI
Creative Virtual
MAY 21, 2023
A transformational product, Gluon has raised the bar and shows that it is possible to create responsible enterprise-grade conversational AI solutions that put organisations in control, enable accuracy of content curation and sharing, and deliver accurate and consistent real-time multi-channel customer and employee experiences.
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Improve your Stable Diffusion prompts with Retrieval Augmented Generation
AWS Machine Learning
DECEMBER 14, 2023
Text-to-image generation is a rapidly growing field of artificial intelligence with applications in a variety of areas, such as media and entertainment, gaming, ecommerce product visualization, advertising and marketing, architectural design and visualization, artistic creations, and medical imaging. official website Stability.ai
Build an end-to-end MLOps pipeline for visual quality inspection at the edge – Part 3
AWS Machine Learning
OCTOBER 2, 2023
Solution overview In Part 1 of this series, we laid out an architecture for our end-to-end MLOps pipeline that automates the entire machine learning (ML) process, from data labeling to model training and deployment at the edge. Johannes Langer is a Senior Solutions Architect at AWS, working with enterprise customers in Germany.
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Build and train ML models using a data mesh architecture on AWS: Part 2
AWS Machine Learning
JULY 29, 2022
This is the second part of a series that showcases the machine learning (ML) lifecycle with a data mesh design pattern for a large enterprise with multiple lines of business (LOBs) and a Center of Excellence (CoE) for analytics and ML. Build and train ML models using a data mesh architecture on AWS.
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Build well-architected IDP solutions with a custom lens – Part 2: Security
AWS Machine Learning
NOVEMBER 22, 2023
By using the Framework, you will learn current operational and architectural recommendations for designing and operating reliable, secure, efficient, cost-effective, and sustainable workloads in AWS. Brijesh Pati is an Enterprise Solutions Architect at AWS. His interests include serverless architectures and AI/ML.
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What are Single-Tenant & Multi-Tenant: Which is the Best for You?
JustCall
AUGUST 25, 2022
One of the most important decisions you must make when working in the cloud is what architecture to use for your business and customer data. It is because picking an architecture that doesn’t cost too much is the key to making money with SaaS software. Security and privacy are essential for both types of architecture.
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Generative AI and multi-modal agents in AWS: The key to unlocking new value in financial markets
AWS Machine Learning
SEPTEMBER 19, 2023
Solution overview The following diagram illustrates the conceptual architecture to use generative AI with multi-modal data using agents. Technical architecture The multi-modal agent orchestrates various tools based on natural language prompts from business users to generate insights. The following screenshot shows an example of the UI.
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Set up cross-account Amazon S3 access for Amazon SageMaker notebooks in VPC-only mode using Amazon S3 Access Points
AWS Machine Learning
MARCH 13, 2024
Typically, these datasets are aggregated in a centralized Amazon Simple Storage Service (Amazon S3) location from various business applications and enterprise systems. The following diagram illustrates the solution architecture.
Schneider Electric leverages Retrieval Augmented LLMs on SageMaker to ensure real-time updates in their ERP systems
AWS Machine Learning
OCTOBER 31, 2023
This post was co-written with Anthony Medeiros, Manager of Solutions Engineering and Architecture for North America Artificial Intelligence, and Blake Santschi, Business Intelligence Manager, from Schneider Electric. About the Authors Anthony Medeiros is a Manager of Solutions Engineering and Architecture at Schneider Electric.
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Accelerate disaster response with computer vision for satellite imagery using Amazon SageMaker and Amazon Augmented AI
AWS Machine Learning
FEBRUARY 24, 2023
In this post, we describe our design and implementation of the solution, best practices, and the key components of the system architecture. Given the nature of a labeling system like this, we designed a horizontally scalable architecture that would handle ingestion spikes without over-provisioning by using a serverless architecture.
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Unraveling the Contact Center Hosting Model: Multi-Tenant vs. Single-Tenant Contact Centers
NobelBiz
AUGUST 7, 2023
E-commerce platforms, startups, and small to medium-sized enterprises often benefit from the shared resources and efficient scaling capabilities of a multi-tenant environment, allowing them to focus on their core operations without significant upfront costs.
Elevate your marketing solutions with Amazon Personalize and generative AI
AWS Machine Learning
OCTOBER 27, 2023
Generative artificial intelligence is transforming how enterprises do business. Enterprises are using generative AI specifically to power their marketing efforts through emails, push notifications, and other outbound communication channels. First, import your dataset of users’ interactions into Amazon Personalize for training.
How Thomson Reuters delivers personalized content subscription plans at scale using Amazon Personalize
AWS Machine Learning
JANUARY 6, 2023
Solution architecture. The following diagram illustrates the architecture to provide real-time recommendations. In this architecture, Amazon MSK serves as a streaming platform and performs any data transformations required on the raw incoming clickstream events. Conclusion. Vamshi Krishna Enabothala is a Sr.
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