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Category: AzureAI

  • GPT-5 for SMBs — Enterprise AI, Now Pay-As-You-Go

    Imagine uploading your entire employee handbook and getting instant answers to policy questions. That’s the power of GPT-5, now available to small businesses through Microsoft’s Azure AI Foundry.

    What’s New: GPT-5 can process massive documents (up to 200 pages) in one go, thanks to its 272,000-token capacity. It also uses an internal orchestrator to break complex tasks into parts and solve them with specialized sub-models. Think of it as an AI project manager with a team of mini-experts.

    Why It Matters: SMBs no longer need enterprise budgets to benefit from AI.

    Azure AI Foundry is basically a marketplace of AI models or “brains.” You can rent GPT-5 and other models on a pay-as-you-go basis. Thousands of different AI models are available, whether you’re summarizing contracts, analyzing customer histories, or building intelligent chatbots.

    Real-World Example: TechHouse used Azure AI to inspect and categorize hundreds of thousands of documents for a client in a fraction of the time and for a fraction of the cost of older methods.

    Heads-Up: GPT-5 is powerful but not plug-and-play. Microsoft’s Foundry platform helps compare models to find the best fit for your task, but you will need an experienced AI Digital Process partner or developer to connect them to your workflows.

    Want to explore how GPT-5 could transform your business?  Read the full article here for use cases, setup tips, and partner recommendations.

  • Azure AI Foundry: What’s New, What’s Useful, and What to Watch

    If you’re responsible for IT in a small or mid-sized business, you’ve probably noticed that Microsoft has been busy. One of the most significant recent developments is Azure AI Foundry—a new way to discover, evaluate, and deploy models to help your team automate tasks, improve workflows, and get more value from your data.

    But here’s the thing: just because something is new doesn’t mean it’s useful. And just because it’s powerful doesn’t mean it’s practical—especially for small IT teams already stretched thin.

    That’s why we’ve taken a closer look at Foundry, not from a marketing perspective, but from the lens of: “What does this mean for the average IT leader trying to support a growing business?”

    Here’s a quick preview of what we found:

    • Foundry gives you access to over 1,900 models, including Microsoft-hosted options that are secure, supported, and integrated with Azure—and third-party models from providers like Meta, Hugging Face, and Cohere that offer more variety but require more oversight.
    • You can compare models side-by-side using your data. This helps you make informed decisions before you commit to anything.
    • You can deploy models in two ways: standard (API-based, easier to start) or managed compute (more control, but more setup). Each has trade-offs, and we break them down clearly.
    • Foundry now connects with Power Platform, so you can use these models in Power Automate flows, Copilot agents, and Power Apps—if you know how to set it up securely.

    We haven’t built production apps with Foundry yet as it’s still new, but we’re learning it, testing it, and helping our clients understand what’s possible. That strategic advisory role is where we shine.

    If you’re curious about what Foundry can do, how it fits into your Microsoft environment, and whether it’s worth exploring, we’ve compiled an evaluation guide for IT leaders like you.

    Read the full article here

    Or reach out—we’d love to help you figure out what fits.

     

    TechHouse

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  • IT Budget Changes for 2025: A Simple Guide

    Organizations need to prepare for significant shifts in IT budgets in 2025. Let’s explore the main areas to focus on:

    Cybersecurity

    The world of online threats is growing, and so are the rules for fighting them. It’s time to beef up your defenses with smarter security measures, like AI that detects threats. Stay on top of the newest security measures to cover your bases. Check out TechHouse’s guide on cybersecurity best practices to ensure you’re well-protected. Our Aware for Microsoft 365 report provides a simplified view of your Microsoft 365 security for email, files, and more.

    Cloud Services

    Cloud services aren’t going anywhere, but managing costs will matter more than ever. Consider better ways to handle your cloud resources and hybrid solutions to balance cost and effectiveness. Streamline your services by combining communication and workflow tools into a single platform. Monitor adoption and usage reports to understand value and cost effectiveness.

    Trends in Microsoft Cloud

    Leverage Microsoft’s cloud ecosystem to stay ahead in 2025. The Microsoft AI Platform, including Azure AI and Microsoft Copilot, offers advanced AI capabilities to enhance productivity, creativity, and security. Additionally, the Microsoft Dynamics 365 suite provides integrated CRM and ERP solutions, enabling better customer experiences, operational efficiency, and data-driven decision-making.

    Hardware and Infrastructure

    Expect to spend more on hardware as the need to update old equipment and support remote workers grows. Many businesses invested in new equipment in 2020/2021, and probably time for an update. Many of these, from computers to firewalls, are available virtually on a subscription basis. For some needs, Cloud PCs might be a more affordable option.

    Software Licensing

    The bill for software, especially for AI, automation, and team collaboration tools, is increasing. The good news? Like hardware, software is now available primarily by subscription. As new needs arise, you can adjust without being stuck with old tech.

    IT Support and Training

    With the rise of new tech, training your team to handle it, especially AI and cybersecurity is a must. Training is for more than just the IT crowd; everyone should be up to following company tech policies. Most cyber security insurance policies today require cybersecurity awareness training.

    Data Backup and Recovery

    Given the increasing risks, it is wise to invest more money in backing up your data and quick recovery options. Downtime can be expensive, so having several ways to recover is smart. Keep in mind that the cloud software providers are not responsible for breaches that occur on your accounts.

    Scalability

    As your business grows, your IT needs will too. Investing in scalable solutions, like modular hardware or flexible cloud services, will help you meet future needs without breaking the bank. Balance the flexibility of month-to-month plans with the discounts that come with annual commitments.

    Compliance

    Rules are changing, and spending to keep up with compliance, especially to protect sensitive data, will need to go up. Whether following new industry guidelines or ensuring your tech meets specific standards, compliance can’t be ignored.

    In summary, 2025’s IT budgets for small businesses are about making smart, future-focused investments, particularly in security, efficiency, and growth. With careful planning, your business can navigate these changes smoothly.

    Connect with us for more information:

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  • Managing Azure AI Solutions

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    Managing Azure AI Solutions

    Welcome to our latest blog post in the Azure AI Services series. Today, we’re diving into the essential aspects of managing Azure AI solutions. From routine maintenance to disaster recovery, we’ll guide you through the key areas to focus on for optimal performance and compliance.

    Routine Maintenance Like any software, Azure AI solutions need regular upkeep for the best performance. This means monitoring system performance, updating software parts, and ensuring AI models are still accurate. For example, you may need to retrain your AI models with the latest data regularly. This could mean planning regular data updates and retraining sessions and setting up automatic pipelines to make these processes smoother.

    Handling Updates and Changes Azure often releases updates to its AI services. These can include new features, performance boosts, and security patches. It’s essential to keep up-to-date with these updates and implement them quickly. However, updates can sometimes bring changes that could affect your solution, so it’s vital to test your solution thoroughly after applying updates. This could mean setting up a test environment to check the updates before they’re rolled out to the live environment.

    Monitoring System Performance Keeping track of your Azure AI solution’s performance is key to making sure it continues to meet your business needs. Azure offers several tools for monitoring system performance, including Azure Monitor and Azure Application Insights. These tools can give you useful insights into your system’s performance and help you spot problems before they affect your business. For example, you might set up alerts in Azure Monitor to let you know when your solution’s performance falls below a certain level or use Azure Application Insights to track usage patterns and spot potential bottlenecks.

    Ensuring Continued Compliance Compliance is vital to managing Azure AI solutions, especially for businesses in regulated industries. Azure offers several tools to help make sure your solution stays compliant, including Azure Policy and Azure Blueprints. Regular audits can also help ensure your solution complies with all relevant laws and regulations. For example, you might set up Azure Policies to enforce specific compliance standards and use Azure Blueprints to set out and deploy a compliant architecture for your solution.

    Disaster Recovery and Backup A disaster recovery and backup strategy is vital for any business solution. Azure offers several backup and disaster recovery services, including Azure Backup and Azure Site Recovery. These services can help protect your solution from data loss and downtime, ensuring your business can keep running if a disaster happens. For example, you might set up Azure Backup to back up your data automatically at regular intervals and use Azure Site Recovery to copy your solution to a backup location for disaster recovery.

    That wraps up our discussion on managing Azure AI solutions. Remember, regular maintenance, staying updated with changes, monitoring system performance, ensuring compliance, and having a robust disaster recovery and backup strategy are all crucial for successfully managing your Azure AI solutions. Stay tuned to our blog for more posts in the Azure AI Services series, where we’ll continue to explore more topics to help you make the most of Azure’s powerful AI capabilities. Happy managing!

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  • Implementing Azure AI Services

    Implementing Azure AI Services

    Welcome back to our blog series on Azure AI Services. Our previous posts discussed choosing the right services for your business and provided examples of small business use cases. Today, we will provide an implementation guide and share the best practices.

    Implementing Azure AI Services

    Implementing Azure AI Services involves several steps, including setting up the service, integrating it with your application, and testing it. Here’s a general guide:

    1. Set Up the Service: After you’ve chosen the service you want to use, you’ll need to set it up in the Azure portal. This usually involves creating a new resource for the service and getting the API key. To do this, navigate to the Azure portal, select “Create a resource,” search for the service you want to use, and follow the prompts to create it. Once created, you can find the API key in the “Keys and Endpoint” section of the resource.
    2. Integrate with Your Application: You’ll need to integrate the service with your application. This usually involves adding the API key to your application and making API calls to the service. To integrate, you can use the Azure SDK for your programming language of choice. Import the relevant packages in your code, initialize the client for the service using the API key, and then make API calls as per the service’s documentation. You can find the API documentation for Azure AI Services on the Microsoft Learn Portal and the REST API reference.
    3. Test the Service: After integrating the service with your application, you should test it to be sure it works correctly. This might involve creating test cases and checking the results. For testing, consider using a testing framework suitable for your programming language. Create tests that cover various scenarios and edge cases. Compare the results from the service with expected outcomes to ensure accuracy.

    Best Practices to Follow

    When implementing Azure AI Services, there are several best practices you should follow:

    1. Secure Your API Keys: Your API keys are like passwords. It would be best if you kept them secure and never shared them.
    2. Handle Errors Gracefully: Your application should be able to handle errors from the service gracefully. This might involve retrying the request or showing an error message to the user.
    3. Monitor Your Usage: You should monitor your service usage to ensure you’re not exceeding your quota or spending more than you intended.

    In the next blog post, we’ll discuss tools to measure the impact of Azure AI Services on your business and how to interpret these metrics. Stay tuned!

    We hope this post has helped you understand how to implement Azure AI Services and the best practices to follow. As we progress through this series, we aim to provide you with an understanding of these services and how they can benefit your business. Remember, the future of your business could be powered by AI, and with Azure AI Services, that future is within your reach.

  • How to Measure the Impact of Azure AI Services on Your Business

    Measuring the Impact of Azure AI Services

    Welcome back to our blog series on Azure AI Services. Our earlier posts discussed implementing Azure AI Services and the best practices to follow. Today, we will discuss tools to measure the impact of Azure AI Services on your business and how to interpret these metrics.

    Tools to Measure the Impact

    Azure supplies several tools to help you measure the impact of AI Services on your business. These include:

    1. Azure Monitor: This service supplies full-stack monitoring, allowing you to collect, analyze, and act on telemetry data from your Azure and on-premises environments.
    2. Azure Application Insights: This is an extensible application performance management (APM) service that can help you understand the performance and usage of your live web applications.
    3. Azure Log Analytics: This service helps you collect and analyze data generated by resources in your cloud and on-premises environments.

    Interpreting the Metrics

    Interpreting the metrics involves understanding each metric and how it relates to the performance and impact of Azure AI Services on your business. Here are a few tips:

    1. Understand the Metrics: Each tool supplies different metrics. Understand what each metric stands for. For example, the number of API calls might stand for the usage of a service, while the response time might represent the performance of a service.
    2. Analyze Trends: Look for trends in the metrics. For example, increasing API calls might show increasing service usage.
    3. Correlate Metrics: Try to correlate different metrics. For example, if the response time increases as the number of API calls increases, it might show that the service is struggling to handle the load.

    Microsoft Learn has some good guidance for performance monitoring. For example, for Azure Search, see the article Analyze performance – Azure AI Search. Here are examples of performance metrics used to measure the success of various Azure AI Services:

    Azure OpenAI

    • HTTP Requests: The number of HTTP requests made to the service.
    • Tokens-Based Usage: The number of tokens used in the requests.
    • PTU Utilization: The PTU (Premium Turing Units) use for the service.
    • Fine-tuning Data: The data used for fine-tuning the models.

    Azure AI Search

    • Query Performance: Latency and throughput performance metrics.
    • Indexing Volume: The volume of data indexed by the service.

    Azure Vision

    • Precision: The percentage of identified classifications that were correct.
    • Recall: Actual classifications correctly identified (percentage).
    • Mean Average Precision (mAP): The average value of the average precision.

    Azure Speech

    • Latency: The time taken to transcribe speech to text.
    • Requests Per Second (RPS): The number of requests made to the service per second.

    Azure Language

    • Precision: Measures how precise/accurate your model is.
    • Recall: Measures the model’s ability to predict actual positive classes.
    • F1 score: The F1 score is a function of Precision and Recall.

    Azure Translator

    • Translation Accuracy: The accuracy of the translations provided by the service6.
    • Latency: The time taken to translate text.

    Azure Video Indexer

    • Transcription Accuracy: The accuracy of the transcriptions provided by the service8.
    • Speaker Recognition Accuracy: The accuracy of the speaker recognition feature8.

    Azure Immersive Reader

    • User Engagement: The number of users engaging with the service and the duration of their engagement.
    • Reading Comprehension Improvement: The improvement in reading comprehension for service users.

    Azure Content Safety

    • Severity Indication: A unique ‘Severity’ metric that shows the severity of specific content on a scale ranging from 0 to 7.
    • Technical metrics (latency, accuracy, recall) and business metrics (block rate, block volume, category proportions, language proportions, and more).

    We hope this post has helped you understand how to measure the impact of Azure AI Services on your business and the metrics to consider for monitoring these services. As we progress through this series, we aim to provide you with a comprehensive understanding of these services and how they can help your business. Remember, the future of your business could be powered by AI, and with Azure AI Services, that future is within your reach.

     

  • How to Get Started with Azure AI Services in 2024 | Azure Blog

    Create your first Azure AI Services

    Welcome back to our blog series on Azure AI Services. In our previous posts, we introduced you to Azure AI Services and discussed its various services. Today, we will guide you on how to get started with Azure AI Services and understand its pricing model.

    Setting Up Azure AI Services

    You must have an Azure account before you can use Azure AI Services. If you don’t have one, you can create a free account. Once you have an Azure account, you can create an AI Services resource in the Azure portal. Here are the steps:

    1. Sign into the Azure portal.
    2. In the left-hand menu, click on “Create a resource.”
    3. In the “New” window, search for “AI Services.”
    4. In the search results, select “AI Services” and then click “Create”.
    5. Fill in the required fields such as “Name,” “Subscription,” “Resource Group,” “Location,” and “Pricing Tier.”
    6. Click “Review + Create” and “Create” to create your AI Services resource.

    Once the Azure AI Service resource is created, you can explore the various Azure AI Services. For example, to explore Azure  AI Vision, go to Vision Studio here: Vision Studio (azure.com).

    Understanding the Pricing Model

    Azure AI Services uses a consumption-based pricing model. This means you pay for the transactions you make. The cost depends on the type of service and the tier you choose. Some services offer a free tier with a limited number of monthly transactions.

    You can monitor your usage and manage your costs in the Azure portal. Understanding the pricing model is essential to ensure that you choose the right services for your business and stay within your budget.

    We hope this post has helped you explore Azure AI Services and its pricing model. As we progress through this series, we aim to provide you with a comprehensive understanding of these services and how they can benefit your business. Remember, the future of your business could be powered by AI, and with Azure AI Services, that future is within your reach.

  • Understanding Azure AI Services

    Understanding Azure AI Services

    Welcome back to our blog series on Azure AI Services. Our previous post gave you an overview of Azure AI and its benefits. Today, we’ll go deeper into each Azure AI Service, explain what they do, and show how they can help your business.

    Azure OpenAI

    Azure OpenAI is a service that lets you do many things with words. You can use it to:

    • Write new text
    • Translate text to different languages
    • Summarize long text
    • And more

    For example, a law firm can use Azure OpenAI to review legal documents faster. The service can learn legal words and find important information, saving lawyers time and money.

    Azure AI Search

    Azure AI Search is a service that helps you find what you need on the web. You can use it to:

    • Improve your customer experience by showing relevant search results.
    • Search different types of web content, such as web pages, mobile apps, and enterprise websites.
    • Personalize search results based on the customer’s preferences and behavior.

    For example, an online clothing store can use Azure AI Search to improve its website’s search function. The service can show search results that match the customer’s likes and past purchases.

    Azure Vision

    Azure Vision is a service that helps you understand images and videos. You can use it to:

    • Classify images into categories.
    • Detect objects in images and videos.
    • Recognize text in images and videos.

    For example, a distribution company can use Azure Vision to manage its inventory. The service can scan images from the warehouse and identify products, check their quality, and track their location.

    Azure Speech

    Azure Speech is a service that helps you convert speech to text and text to speech. You can use it to:

    • Transcribe speech in real-time.
    • Use voice commands to control your applications.
    • Make text sound like speech.

    For example, a healthcare provider can use Azure Speech to record patient interactions. The service can help them keep accurate records and free up time for patient care.

    Azure Language

    Azure Language is a service that helps you build applications with natural language understanding. You can use it to:

    • Create chatbots that can talk to your customers.
    • Automate customer service tasks.
    • Analyze customer feedback and sentiment.

    For example, a retail company can use Azure Language to provide 24/7 customer support. The service can create an AI-powered bot that can answer common questions, process returns, and recommend products.

    Azure Translator

    Azure Translator is a service that helps you translate text in real-time across multiple languages. You can use it to:

    • Build applications and websites that work in different languages.
    • Translate emails, documents, and live conversations.
    • Support multilingual communication and collaboration.

    For example, a global consulting firm can use Azure Translator to communicate with clients worldwide. The service can translate emails, documents, and live conversations in real-time.

    Azure Document Intelligence

    Azure Document Intelligence is a service that helps you get information and insights from your documents. You can use it to:

    • Automate data entry tasks.
    • Extract insights from unstructured data.
    • And more.

    For example, a hospital can use Azure Document Intelligence to digitize its patient records. The service can get key information from scanned documents, making it easier to search and analyze patient data.

    Azure Video Indexer

    Azure Video Indexer is a service that helps you get insights from your videos. You can use it to:

    • Transcribe speech in videos.
    • Recognize speakers in videos.
    • Summarize videos.

    For example, a non-profit organization can use Azure Video Indexer to analyze event footage. The service can find important moments, transcribe speeches, and recognize attendees.

    Azure Immersive Reader

    Azure Immersive Reader is a service that helps you make your text content more accessible and engaging. You can use it to:

    • Improve reading comprehension, pronunciation, and fluency.
    • Read text aloud, highlight words, and adjust font size and color.
    • And more.

    For example, a school can use Azure Immersive Reader to help students with learning difficulties. The service can read text aloud, highlight words, and adjust font size and color.

    Azure Content Safety

    Azure Content Safety is a service that helps you detect unwanted content. You can use it to:

    • Monitor and moderate content.
    • Ensure a safe and positive user experience.
    • And more.

    For example, a digital marketing agency can use Azure Content Safety to moderate user-generated content on their clients’ websites. The service can detect inappropriate or harmful content, ensuring a safe and positive user experience.

    In the next blog post, we’ll discuss best practices for planning to use these Azure AI Services. We’ll cover factors to consider, cost analysis, and how to identify the exemplary service for your business needs. Stay tuned!

    This blog post is part of a series on Azure AI Services. Follow our blog to stay updated with new posts.

     

  • Azure AI Services: A Simple Guide for IT Professionals

    Azure AI (Artificial Intelligence) Services: A Simple Guide for IT Professionals

    Hello! We’re excited to talk about Azure AI Services in this blog series. This series is excellent for IT (Information Technology) directors in small businesses. But anyone who wants to learn about Azure AI Services will find it helpful.

    What is Azure AI Services?

    Azure AI Services is a group of services from Microsoft Azure. These services let developers make applications that can understand and interact with the world. These services use Microsoft’s AI models. They let businesses use AI without knowing much about machine learning.

    Why is AI Good for Small Businesses?

    AI is essential for businesses today. For small businesses, AI can:

    • Make Work Easier: AI can do routine tasks. It lets your team focus on more important work.
    • Make Customers Happy: AI can give personalized experiences and support customers constantly.
    • Help Find New Opportunities: AI can help you find new business opportunities and innovate faster.

    How Does Azure AI Help Small Businesses?

    Azure AI Services has many features that can help small businesses. As of July 2023, Azure AI services include what used to be Cognitive Services and Azure Applied AI Services. It’s always good to check Microsoft’s website for the latest offerings. Here are some Azure AI Services:

    • Azure Open AI Service: This lets your apps use large-scale AI models.
    • Search: Helps you find information from your content.
    • Vision: Understands and processes visual data from images.
    • Speech: Changes spoken language into written text and vice versa.
    • Language (formerly QnA Maker): Understands and translates language, extracts key phrases, and more.
    • Translator: Translates text in real-time across multiple languages.
    • Documents: Gets information and insights from your documents.
    • Bots: Let you build smart, conversational bots.
    • Audio and Video: Analyzes and improves your audio and video content.
    • Decision: Helps you make informed decisions with your data.
    • Metrics Advisor: Monitors and finds anomalies in your time series data.
    • Immersive Reader: This makes your text content more accessible and engaging.

    These are just some examples of what Azure AI Services can do. In future blog posts, we’ll talk more about each service. We’ll discuss best practices and use cases.

    Stay tuned for our next post, where we’ll explore each Azure AI Service in detail. We’re excited to guide you on using Azure AI for your business. Please let us know if you have any questions or topics you’d like us to cover. We’re here to help!

    This blog post is part of a series on Azure AI Services. Follow our blog to stay updated with new posts.

     

  • Tap into Your Microsoft 365 Suite: Uncover the AI Tools at Your Fingertips

    Tap into Your Microsoft 365 Suite: Uncover the AI Tools at Your Fingertips

    Today’s business world moves fast, and Artificial Intelligence (AI) is a key player in boosting productivity. Let’s explore the AI features within Microsoft 365 that are ready to transform how you work.

    Excel: Smarter Data Handling

    • Ideas: Click “Analyze Data” in the Home tab with the selected data; Excel’s AI will reveal trends and insights.
    • New Data Types: Easily turn text into rich data. Type a company name, click “Stocks” in the Data tab, and see Excel bring data to life.
    • Insert Data from Picture: Snap a photo of a data table with the Excel mobile app, which instantly turns into an editable spreadsheet.

    Word: Write Better, Faster

    • Microsoft Editor: The Editor pane offers AI help to make your writing clear and concise.
    • Researcher: Use “Researcher” in the References tab to find and add reliable sources to your documents.
    • Resume Assistant: Get tips to improve your resume from the “Resume Assistant” in the Review tab.

    PowerBI: Visual Analytics

    • AI Insights: Use “AI Insights” in PowerBI Desktop for advanced data analysis with pre-trained models.
    • Automated Machine Learning: “Automated ML” in the PowerBI service lets you create custom models easily.
    • Key Influencers Visual: Find out what’s affecting your metrics with the “Key Influencers” visual.

    Outlook: Email Efficiency

    • Microsoft Copilot: Draft emails and get reply suggestions with the “Tell me what you want to do” feature.
    • Focused Inbox: Keep important emails front and center by turning on “Focused Inbox” in the View tab.

    Planner and Project: Organize with Ease

    • Planner: Set up tasks quickly with the “New Plan” button and look forward to enhanced goal setting with Copilot.
    • Project for the Web: Align team goals and manage workloads with “Project for the Web.”

    These AI tools can save time and offer deeper insights into your business. TechHouse is your partner in the digital age, with state-of-the-art IT solutions and workflow optimization. Want to elevate your business with Microsoft 365’s AI? Contact TechHouse today for a consultation and start your journey to peak productivity.