Category: Artificial Intelligence & Automation

  • 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.

     

  • Why AI Matters to Every Organization’s 2024 Plan

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    Why AI Matters to Every Organization’s 2024 Plan

    In the ever-evolving landscape of small business, staying competitive means leveraging tools that redefine efficiency and drive innovation. Artificial Intelligence (AI) represents a technological advancement and a transformative leap. At TechHouse, we’re committed to empowering small businesses by clarifying AI’s role and its rapid progression.

    AI: Standing on the Shoulders of Giants

    The pace of AI’s evolution is unmatched, even compared to groundbreaking technologies like processing chips, the internet, and now Microsoft CoPilot and Azure OpenAI. It’s not merely the speed of development but the scope of its influence that sets AI apart.

    • Processing Chips: They revolutionized computing power, and now AI extends this revolution, utilizing that power to learn, adapt, and enhance itself autonomously.
    • The Internet: It connected the world and democratized information. AI builds on this connectivity to deliver personalized experiences and automate intricate tasks, becoming a linchpin for contemporary business operations.

    AI’s Profound Impact on Performance Metrics

    For small business leaders, the evidence is compelling: AI is rapidly reshaping the economic landscape.

    • Adoption Rates: Internet usage among American adults grew from 50% to 93% over two decades. In stark contrast, AI, exemplified by platforms like ChatGPT, reached 1 million users in mere days, underscoring its immediate relevance and utility.
    • Market Growth: The AI market is projected to reach $407 billion by 2027, with a compound annual growth rate (CAGR) of 37.3% from 2023 to 2030. This growth far outpaces the semiconductor industry’s expected annual increase of 6 to 8%.
    • Impact on GDP: AI could contribute a 21% net increase to the US GDP by 2030, significantly exceeding the internet’s contribution of 3.4% to major economies’ GDP.
    • Annual Growth Rate: An anticipated annual growth rate of 37.3% from 2023 to 2030 highlights AI’s rapidly expanding role across various sectors. In contrast, from 1998 to 2018, over twice as many years, the semiconductor market grew from 65 Billion to 474 Billion, an annual growth rate of about 12.25%- remarkable but 1/3 of AI’s projected growth rate.

    The Urgency of AI Adoption for Small Businesses

    The message is clear: Integrating AI is not an option but a necessity for small businesses determined to succeed. Postponing AI adoption risks missing essential opportunities for advancement and ingenuity. Unlike other recent tech innovations, AI accelerates, equalizing the competitive landscape for small enterprises. Early adopters of AI will forge ahead, while laggards may face irrelevance.

    Conclusion

    AI signifies more than technological progress; it’s a revolution that profoundly alters performance metrics and redefines the realm of the possible. As a small business leader, including AI in your 2024 strategy is not just wise—it’s crucial. With AI, small businesses are positioned to compete and lead in their markets.

    Embrace AI and allow TechHouse to navigate you through this transformative era. Together, we’ll ensure your business survives and flourishes amidst technological advancements.

    Ready to take the next step? Contact TechHouse today for a personalized AI integration plan that will elevate your business to the forefront of innovation.

    Key Takeaways:

    1. AI’s market size and impact on GDP are based on forward-looking projections.
    2. Adoption rates and market growth underscore the swift embrace of AI technologies.
    3. AI’s influence on GDP and growth rate demonstrates its substantial economic impact.

    Invest in AI and propel your small business to unprecedented success. The future is here, and AI powers it.

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  • 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.

  • Demystifying AI: A Small Business Leader’s Glossary for 2024

    Demystifying AI: A Small Business Leader’s Glossary for 2024

    In anticipation of 2024, small business leaders must decode the intricacies of artificial intelligence (AI). Mastery of these pivotal terms will empower you to capitalize on AI’s transformative capabilities. Here’s an accessible glossary to navigate the AI landscape:

    NLP (Natural Language Processing): Picture your systems conversing with customers as effortlessly as a human. NLP facilitates this by deciphering and generating human language, transforming customer support, and enriching user experiences.

    LLM (Large Language Models): These advanced models are the architects of text that mirrors human writing. Educated on comprehensive datasets, they comprehend context and nuances, enhancing customer dialogue and fostering inventive content creation.

    Reasoning Models: View these as your virtual strategists. They dissect data to uncover patterns and offer insights, fortifying strategic initiatives and boosting operational adaptability.

    Generative AI: The visionaries of AI, these algorithms invent original content, from imagery to music to code, sparking innovation and addressing challenges in novel ways.

    GPT (Generative Pre-trained Transformer): A luminary in generative AI, GPT specializes in generating coherent, context-aware text. It’s instrumental for automating the content generation and refining customer interactions.

    AI Model: Essentially, an AI model is a mechanism that executes tasks such as speech recognition, language translation, or object detection in images. It hones its skills by learning from data patterns.

    Training a Model: This stage is the AI model’s educational journey, where it learns from a plethora of labeled data to make intelligent predictions and decisions. It’s a perpetual quest for unmatched precision and expertise.

    Clarifying the distinction between ChatGPT and GPT is also crucial:

    GPT: Your AI all-rounder, skilled in deep learning to manage tasks from translation to summarization.

    ChatGPT: Designed for discourse, ChatGPT excels at generating responses that sustain conversational flow, ideal for elevating customer service and engaging with users.

    Spotlight on Microsoft AI: OpenAI and CoPilot

    OpenAI: Pursuing a dual mission of research and practical application, OpenAI strives to create AI that exceeds human performance in significant tasks while promoting societal progress. Microsoft incorporates OpenAI’s innovations into its Azure OpenAI services.

    Microsoft CoPilot: This AI aide enhances productivity by integrating LLMs with Microsoft Graph and Microsoft 365 Apps. It streamlines your interactions with applications, fostering a more profound comprehension and efficient content creation, thus redefining your work processes.

    Embark on Your AI Adventure with TechHouse

    Are you ready to revolutionize your business with AI? Seize the present and embrace artificial intelligence to stay at the forefront. Contact us to learn how our AI solutions can drive your business growth. Let’s collaborate to innovate and transform potential into reality.

     

  • Preparing for Your Power Virtual Agent Chatbot – A Comprehensive Guide

    Preparing for Your Power Virtual Agent Chatbot –  A Comprehensive Guide

    As a small business leader in professional services, you’re likely looking for ways to streamline operations and improve customer service. One solution that has gained significant attention recently is the Power Virtual Agent (PVA) chatbot. 

    This article will guide you through critical preparatory steps for creating a PVA chatbot, provide awareness of its limitations, and discuss scenarios where the PVA solution would include other Microsoft technologies.

    Preparatory Steps for Creating a PVA Chatbot

    Before you start creating your first PVA Chatbot, you will need to consider its primary use and intended function, determine the best tool for developing your chatbot, and collect all the information it will require to fulfill its purpose.

    To prepare to create a PVA Chatbot, you should – 

    1. Identify the purpose – The first step is to identify the purpose of your chatbot. What tasks will it perform? How will it benefit your business and customers? For example, a chatbot can provide customer support, answer frequently asked questions, or help customers navigate your website.
    2. Define the user experience – Consider how users interact with your chatbot. What questions will they ask? How will the chatbot respond? Will the public interact with the tool, and therefore, the bot has to respond to many possible scenarios, or will it be used by a specific team that understands the constraints of the bot and, therefore, the scope of required responses is tighter? What tone should the bot respond in? Are multiple languages required?
    3. Choose the right technology – Microsoft’s PVA is a powerful tool for creating chatbots, but ensuring it fits your needs is essential. Will the conversations require more advanced customizations and experiences that require configuration via the Bot Framework Composer or direct calls to Azure Open AI or other Azure Cognitive Services?
    4. Prepare your data – Your chatbot will need data to function effectively. This could be customer data, product information, or other relevant data. Ensure the data your bot will reference are accurate and applicable. Leverage metadata to help the engine identify the right information. It may be time for spring cleaning your SharePoint document libraries and website content.
    5. Plan for integration – Consider how your chatbot will integrate with other systems. Will it need to access your CRM? Will it need to pull data from an external database?

    Limitations of a PVA Chatbot

    While PVA chatbots offer many benefits, it’s essential to be aware of their limitations – 

    1. Limited to text-based interactions – PVA chatbots primarily interact through text. They typically don’t handle tasks that require visual or auditory input. However, these features are evolving and are available with more complex development projects than most small businesses would benefit from.
    2. Dependent on data quality – A PVA chatbot’s effectiveness largely depends on its access to data. Incomplete or inaccurate data may lead to incorrect or misleading answers.
    3. Require regular maintenance – Like any technology, PVA chatbots require regular maintenance to ensure they continue to function effectively.

    Integrating PVA with Other Microsoft Technologies

    A PVA chatbot can be even more powerful when integrated with other Microsoft technologies. 

    Here are a few scenarios – 

    • OpenAI in Azure – If your chatbot needs to perform complex tasks or make predictions, you can integrate it with OpenAI in Azure. This lets your chatbot leverage machine learning models to provide more accurate responses.
    • Power Automate – If your chatbot needs to automate tasks, you can use Power Automate. This could be anything from scheduling appointments to sending follow-up emails.
    • Dataverse – If your chatbot needs to access and manipulate data, you can use Dataverse. This lets your chatbot pull data from various sources, ensuring it has the most up-to-date information.
    • Azure SQL & SharePoint – If your chatbot needs to store or retrieve data, you can use Azure SQL or SharePoint. This ensures your chatbot can access the data to provide accurate responses.

    In Conclusion

    While creating a PVA chatbot requires careful planning and consideration, the benefits can be significant. 

    By understanding the preparatory steps, being aware of the limitations, and knowing how to integrate with other technologies, you can create a powerful tool that enhances your business operations and improves customer service.

  • Understanding Power Virtual Agent Chatbots: A Guide for Small Business Leaders

    Understanding Power Virtual Agent Chatbots: A Guide for Small Business Leaders

    In the rapidly evolving world of technology, businesses are constantly looking for ways to streamline operations, improve customer service, and stay competitive. One such technology that has gained significant attention is the Power Virtual Agent (PVA) chatbot. 

    This article aims to demystify critical terms related to PVA chatbots and provide a basic understanding of their role in the broader bot/AI landscape.

    Bots vs. Virtual Agents

    Before we delve into the specifics of PVA chatbots, let’s clarify the difference between bots and virtual agents.

    Bots are software applications that run automated tasks over the internet. These tasks are typically simple and structurally repetitive, operating at a much higher rate than would be possible for a human alone.

    On the other hand, virtual agents are more sophisticated. They are AI-driven programs that interact with users in a natural, human-like way. Virtual agents can understand and respond to user queries using Natural Language Processing (NLP), a branch of AI that allows machines to read, understand, and derive meaning from human language.

    What is a Power Virtual Agent?

    Microsoft’s Power Virtual Agent is a platform that allows you to create powerful chatbots without needing extensive coding knowledge. It’s part of Microsoft’s Power Platform, including Power BI, Power Apps, and Power Automate.

    PVA chatbots can understand and respond to user queries in a natural, conversational manner. They can be integrated with various data sources and services, making them a versatile tool for businesses of all sizes.

    Use Case Scenarios

    Let’s look at some use case scenarios to understand how PVA chatbots can benefit small businesses, particularly those in professional services.

    Healthcare

    In a healthcare setting, a PVA chatbot can handle routine inquiries such as appointment scheduling, medication reminders, or providing information about clinic hours and services. 

    This improves patient experience and frees staff to focus on more critical tasks.

    Education/Training

    For educational institutions or training providers, a PVA chatbot can assist with course enrollment, provide information about courses, handle FAQs, and even offer personalized learning recommendations based on a student’s interests and progress.

    Consulting/Legal

    In a consulting or legal firm, a PVA chatbot can help with client onboarding, provide quick answers to common legal questions, and direct clients to the appropriate resources or personnel. This can improve client satisfaction and allow consultants or lawyers to focus on more complex tasks.

    In Conclusion

    Power Virtual Agent chatbots represent a powerful tool for small businesses looking to improve efficiency, customer service, and overall competitiveness. As AI technology evolves, the potential applications for PVA chatbots will only grow.

  • Client Corner #4: From Paper to Cloud with No-Code/Low-Code

    Client Corner #4: From Paper to Cloud with No-Code/Low-Code

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    From Paper to Cloud

    TechHouse’s clients are simplifying work for their field workers. In this Client Corner, we consider three TechHouse clients: an electrical contractor, a heating and cooling contractor, and an organization in the healthcare industry. All three of these clients have employees who work “in the field” and use custom-fit apps from TechHouse.

    Previously, field workers relied on hard paper documents. They had to go to their primary office to pick up paperwork before going out into the field. This paperwork detailed their deliverables, allowing them to go where they needed to take care of business. Once finished, they would return to the office, turn in the paperwork, and sometimes obtain new work and go back out.

    This traditional, paper-dependent process cost time and limited flexibility for workers. However, events over the past year and a half expedited the move from paper to cloud. This transition spurred innovation in workplaces across the country.

    Apps that Boost Efficiency

    In moving from paper to cloud, some organizations realized that although they needed custom-fit solutions, they didn’t want to deal with high-level software development. For clients like this, TechHouse offers low-code/no-code custom apps. These apps enhance workflow by providing field workers instant access to their tasks.

    The apps can also make instructions accessible on mobile devices. Back-office employees create assignments, which field workers view through the app on their smartphones. The app shows them where they need to go and what they need to do, eliminating the need to return to the office as well as cleaning up messy paper trails. The app can also track field workers’ locations throughout the workday to ensure their safety.

    A significant benefit of these low-code/no-code custom apps is that organizations can quickly make small changes. Each organization can define its requirements to respond to its specific needs. Some popular requirements are:

    • Fieldworker tasks and locations
    • Live field worker location tracking
    • Location time stamps
    • Work completion time stamps
    • “Next up” task lists

    Custom-fit Solutions that Solve Problems

    Low-code/no-code apps are great solutions when they match the problem at hand. TechHouse works carefully to ensure that the solution we provide solves a problem rather than a symptom of a problem.

    TechHouse only designs and builds solutions after learning how a team operates. We gather information to understand essential functionalities like:

    • The industry vocabulary used in an organization
    • How teams typically communicate in the office and the field
    • How managers assign various tasks to individuals with different skillsets
    • Criteria of task completion

    A deep understanding of an organization or team’s functionality is essential to creating an effective solution; this is why many packaged applications fall short.

    Some organizations DIY their app development using packaged applications, not knowing that they are often optimized for a fixed period. When the apps become outdated, organizations get stuck tailoring their work to an outdated app.

    Unlike packaged apps, the low-code/no-code apps that TechHouse builds are adaptable. Custom-fit apps allow organizations to choose how their organization runs, rather than vice versa. Sometimes, packaged apps create more problems than solutions.

    Keep Your Organization Flexible—in the Field and Your Industry

    Organizations must be flexible enough to respond to internal and external changes. Anything can happen, from organization restructuring to supply-chain shortages. Regardless, no organization wants to find itself stuck in an inefficient or ill-fitting process. That’s why custom-fit apps are often a better investment than prepackaged apps. Few organizations benefit from using technologies that were best practiced 18 months earlier.

    When organizations opt for low-code/no-code solutions, they place themselves better positioned to respond to change. This is the case for the three TechHouse clients who have sought out custom apps.

    If you think your organization could benefit from the flexibility provided by a low-code/no-code solution, contact TechHouse today. It will be our pleasure to work with you.

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