#openai dynamics 365

[inogictech]

Expert Azure OpenAI Developers for OpenAI Dynamics 365 & OpenAI Development Services

Looking to integrate AI into your business? Our Azure OpenAI developers specialize in creating AI-driven solutions within OpenAI Dynamics 365 to enhance automation, insights, and customer experiences. With our OpenAI development services, we help businesses leverage AI for chatbots, data analysis, and intelligent automation. Whether you're looking to implement AI-powered assistants, automate workflows, or enhance decision-making, we provide end-to-end solutions tailored to your needs. From consultation to deployment, our team ensures seamless integration of Azure OpenAI with Dynamics 365, unlocking new possibilities for your business.

[boonars]

🤖 Discover how Xrm.Copilot is revolutionizing Dynamics 365 CE with AI! Learn about its key capabilities, integration with the Xrm API, and how developers can build smarter model-driven apps. Boost CRM productivity with conversational AI. #Dynamics365 #Copilot #PowerPlatform #XrmAPI #CRM #AI

[biglisbonnews]

The future of business is here: How industries are unlocking AI innovation and greater value with the Microsoft Cloud Over the past six months, I have witnessed the staggering speed and scale of generative AI technology adoption, and how it has opened doors for organizations to imagine new ways to solve business, societal, and sustainability challenges. For many with modernized data estates fortified with the Microsoft Cloud, advanced AI technology is already unlocking innovation... The post The future of business is here: How industries are unlocking AI innovation and greater value with the Microsoft Cloud appeared first on The Official Microsoft Blog. https://blogs.microsoft.com/blog/2023/07/24/the-future-of-business-is-here-how-industries-are-unlocking-ai-innovation-and-greater-value-with-the-microsoft-cloud/

[allaboutkeyingo]

What is the most awesome Microsoft product? Why?

The “most awesome” Microsoft product depends on your needs, but here are some top contenders and why they stand out:

Top Microsoft Products and Their Awesome Features

1. Microsoft Excel

Why? It’s the ultimate tool for data analysis, automation (with Power Query & VBA), and visualization (Power Pivot, PivotTables).

Game-changer feature: Excel’s Power Query and dynamic arrays revolutionized how users clean and analyze data.

2. Visual Studio Code (VS Code)

Why? A lightweight, free, and extensible code editor loved by developers.

Game-changer feature: Its extensions marketplace (e.g., GitHub Copilot, Docker, Python support) makes it indispensable for devs.

3. Windows Subsystem for Linux (WSL)

Why? Lets you run a full Linux kernel inside Windows—perfect for developers.

Game-changer feature: WSL 2 with GPU acceleration and Docker support bridges the gap between Windows and Linux.

4. Azure (Microsoft Cloud)

Why? A powerhouse for AI, cloud computing, and enterprise solutions.

Game-changer feature: Azure OpenAI Service (GPT-4 integration) and AI-driven analytics make it a leader in cloud tech.

5. Microsoft Power BI

Why? Dominates business intelligence with intuitive dashboards and AI insights.

Game-changer feature: Natural language Q&A lets users ask data questions in plain English.

Honorable Mentions:

GitHub (owned by Microsoft) – The #1 platform for developers.

Microsoft Teams – Revolutionized remote work with deep Office 365 integration.

Xbox Game Pass – Netflix-style gaming with cloud streaming.

Final Verdict?

If you’re a developer, VS Code or WSL is unbeatable. If you’re into data, Excel or Power BI wins. For cutting-edge cloud/AI, Azure is king.

What’s your favorite?

If you need any Microsoft products, such as Windows , Office , Visual Studio, or Server , you can go and get it from our online store keyingo.com

[demodazzle02]

Beyond the Headlines: What Microsoft’s AI Restructuring Reveals About the Mandatory “AI‑First” Strategy for Every Business

In today’s digital transformation race, Microsoft is no longer just participating—it’s setting the pace. The company's sweeping internal shifts offer more than headlines; they present a clear blueprint for every enterprise navigating an AI‑First future. For a deep dive into this transformation, check out the full analysis in What Microsoft’s AI Restructuring Reveals About the Mandatory ‘AI‑First’ Strategy for Every Business.

1. Microsoft’s $80 Billion AI Bet: A Signal to All

Microsoft’s massive AI investment—an estimated $80 billion in FY 2025—spans custom silicon, Azure expansion, OpenAI collaboration, and full-stack Copilot integration. But this isn’t just about capabilities—it’s a restructuring of the entire business model.

This shift has already led to the layoff of over 9,000 employees, with a clear message: repetitive tasks and traditional roles are being replaced by AI-powered functions. While some view this as aggressive, Microsoft sees it as essential for scaling innovation and productivity.

2. Automation as the Core Operating Principle

Internally, Microsoft is pursuing 95% automation of its software development processes. The target? Dramatic increases in code generation, testing, and deployment—powered by Agentic AI tools. This isn’t a trend. It’s a full-system upgrade. Teams are being restructured, layers of middle management reduced, and silos broken down to enable AI-enhanced workflows.

This AI-first approach echoes beyond engineering—sales, HR, and operations are all being reimagined with automation-first mindsets. Microsoft's culture is shifting from hierarchical decision-making to AI‑guided execution.

3. Rethinking Sales: From Pitch to Partnership

Nowhere is the AI restructuring more visible than in Microsoft’s go-to-market motion. Traditional sales roles are being replaced with AI-savvy solutions engineers, and new verticals—AI Business Solutions, Cloud & AI Platforms, and Security—now define territory boundaries.

AI isn’t a product anymore. It’s the value driver. Sales teams are expected to demonstrate AI outcomes rather than sell software. This transition reflects a larger enterprise trend: value is no longer about features—it’s about impact.

4. Embedding AI Across Every Product Layer

Microsoft’s Copilot is now central to its core products—Microsoft 365, Dynamics, and Azure. But this is just the beginning. The company's strategy is to make Copilot and generative AI not just assistants, but essential interfaces for every employee and customer.

Meanwhile, its internal CoreAI team, led by ex-Meta executive Jay Parikh, is building what insiders call an “AI-agent factory.” The vision? Reduce costs, standardize models, and integrate AI into every workflow at scale.

5. Why This Matters for Every Business

This is not just a Microsoft story. It’s a corporate wake-up call. If a global giant like Microsoft is restructuring entire departments and product lines around AI-first principles, what excuse does any business have to delay?

Research shows that over 60% of CEOs are already adopting AI for competitive advantage. Microsoft’s strategy provides a live case study on executing that vision: aggressive investment, deep internal realignment, and product redefinition.

6. Challenges Ahead: Culture, Ethics, and Talent

Of course, rapid change comes with risk. Mass layoffs may damage morale. Speedy Copilot rollouts have raised eyebrows about data privacy and hallucination risks. Talent gaps remain, especially in AI ethics and security. Microsoft’s journey proves that embracing AI must go hand-in-hand with responsible leadership.

Conclusion: The AI‑First Mandate Is Real

The takeaway is simple: AI-first isn’t a marketing term—it’s a business mandate. Microsoft is showing the world what it takes to operationalize that vision at scale. Every business leader—regardless of size—should be asking: Are we truly AI-first? Or just AI-aware?

[johncarterjn]

Why Azure AI Services Are the Future of Intelligent Solutions

Introduction: Smart Technology Meets the Multimodal Paradigm Shift

In times of uncertainty and in this new digital-focused world that we have all been thrust into, organizations are relying on AI to help them do more with less, automate processes, and develop a competitive advantage. Whether it’s crafting stunning, personalized customer experiences or enabling predictive maintenance on advanced manufacturing machinery, AI is changing the game on what it takes for organizations to succeed in the marketplace. Azure AI Services, Microsoft’s end-to-end set of AI-powered tools and services that enable organizations to build smarter, more intelligent solutions faster and more safely.

Whether you’re a developer, data scientist or decision-maker, Azure AI and ML Services have everything you need to deliver intelligent applications even if you’re starting with zero AI expertise. In this blog, we’ll discuss why Azure AI Services are the future of intelligent solutions, how they operate, and why organizations are leveraging them across all industries.

Table of Contents

What Azure AI Services Are Like in Practice

Core Benefits of Using Azure AI Services

Key Features of Microsoft Azure AI and ML Services

Real-life Use Cases of Azure AI Services

Why Azure AI Services Stand Out from the Competition

How Newbies and Veterans Alike Can Leverage the Power of Azure AI Services

The importance of Azure AI and ML services in business expansion

Countering FAQs on AI Implementation

Security, Compliance and Scalability – An Ironclad Microsoft Promise

Azure AI and the Future of Intelligent Solutions

Conclusion

Take the Next Step with Azure Migration Services

What are Azure AI services Azure OpenAI Service.

Azure AI Services is a suite of APIs and cloud-based services from Microsoft designed to help organizations more easily create and integrate AI into their applications. Together, these services provide broad powerful capabilities like:

Natural Language Processing (NLP )

Computer Vision

Speech Recognition

Machine Learning (ML)

Chatbots and virtual agents

Basically, Azure AI Services take all that data — like text, photos, images — and teach computers to hear, speak, see, and understand our language.

Whether you’re developing a conversational experience to make your app more intelligent or training a model to better predict customer behavior, Azure AI and ML Services have what you need—out-of-the-box or tailored to your business.

Core Benefits of Using Azure AI Services

Azure AI Services aren’t just powerful, they’re purposefully democratized and designed to ensure AI is accessible to all. Here’s why these technologies are quickly rising in prominence among businesses both large and small:

✅User-friendly

You don’t have to be an AI expert. Azure’s delivery of accessible pre-trained models, drag-and-drop interfaces and low-code/no-code development platforms such as Azure ML are all facets of this democratization movement as well.

✅Easy on the Wallet

Pay only for what you use. It grows with you, from startup to enterprise

✅ Fast Deployment

Azure AI Services allow rapid development with tools like Azure Machine Learning Studio and pre-built APIs.

✅ Enterprise-Grade Security

With Microsoft’s trusted cloud infrastructure, you get built-in security and compliance with global standards.

✅Flawless Compatibility

Azure AI seamlessly integrates with current Microsoft products such as Office 365 and Dynamics 365, and third-party systems through REST APIs.

Important Features of Azure AI and ML Services

To better understand the full scope, here are some major components included under Azure AI and ML Services:

Rewarding those who engage with communities, listen to their needs, and truly consider all impacts, benefits, and costs Azure Machine Learning (Azure ML)

A collaborative, visual-based workbench that enables anyone to easily build, train, and deploy machine learning models at scale. It supports Python, R and no-code/low-code drag-and-drop interfaces.

🔹 Cognitive Services

These are ready-made APIs for vision, speech, language, and decision-making. Examples include:

Text Analytics

Face Recognition

Language Translation

Speech-to-Text

🔹 Azure OpenAI Service

Access to powerful models like GPT, enabling natural conversation, summarization, and creative content generation.

🔹 Bot Service

Build smart virtual agents that engage people in a natural conversation on your website, mobile app or messaging channels.

Production Use Cases of Azure AI Services

Let’s look at how industries are using Azure AI Services to solve real-world problems:

🏥 Healthcare

AI models for disease diagnosis

Virtual health assistants for patient support

🏦 Finance

Fraud detection using machine learning

Risk assessment and customer segmentation

🛒 Retail

Personalized product recommendations

Inventory and supply chain optimization

🏭 Manufacturing

Predictive maintenance using IoT and AI

Quality control using image recognition

📞 Customer Support

Chatbots powered by Azure Bot Services

Automated ticket classification and routing

Why Azure AI Services Stand Out from the Competition

While many platforms offer AI tools, Azure AI Services are leading the pack for several reasons:

Microsoft’s R&D Investment: Microsoft invests billions in AI research, ensuring tools stay cutting-edge.

Hybrid Support – in Person + Online Azure empowers on-premises, edge and multi-cloud deployments.

Easily analyze data in 60+ regions around the world, with data compliance tailored to each location.

Plus, Azure AI and ML Services deeply integrate with GitHub, Visual Studio, and DevOps tools, simplifying and accelerating development.

How Newbies and Old Pros Can Get the Most From Azure AI Services

One of the most impressive things about Azure AI Services is how user-friendly they are.

For Beginners:

Start with Azure Cognitive Services like Text Analytics or Face API

Use Azure ML Studio's visual interface to drag and drop elements

Access learning modules and templates on Microsoft Learn

For Experts:

Customize deep learning models using TensorFlow or PyTorch

Use ML pipelines and notebooks for experimentation

Automate model monitoring, scaling, and version control

The Role of Azure AI and ML Services in Business Growth

AI isn't just about automation—it's about transformation.Businesses using Azure AI and ML Services report:

Increased customer satisfaction

Lower operational costs

Faster decision-making

Increased precision and mitigation of human error

By sparing staff from repetitive tasks and simplifying data collection, Azure gives departments the ability to create smarter strategies that drive long-term sustainability and growth.

Responding to Myths Associated with Increased AI Adoption

Here are some misconceptions keeping companies from adopting Azure AI Services—let’s debunk them together!

Here are a few myths we’ve heard and the realities that contradict those myths.

Myth 1—AI is only within reach of established enterprises Reality—Microsoft’s flexible pricing, seamless integration, and scalable tools make AI possible for startups, too.

Myth 2: AI takes over human jobs

AI addresses the skills gap by augmenting human skills and expertise so employees can spend their time on higher-value work.

Security, Compliance, and Scalability – A Microsoft Promise

Whether your agency works with privileged, regulated, customer/consumer data or not, security by design is important. Azure AI Services are powered by Microsoft’s trusted cloud infrastructure, providing:

Campaign 3: End-to-end encryption

Role-based access control (RBAC)

Compliance with more than 90 industry-leading certifications (across GDPR, HIPAA and ISO for example)

Azure optimizes performance by automatically scaling resources to accommodate peak usage times.

Looking to score big with your sustainability picture this year? 

The Future of Intelligent Solutions powered by Azure AI

The future of business is intelligent, and Azure AI Services are shaping this reality.

In the coming years, we can expect:

Greater personalization in digital experiences

Smarter automation in operations and services

Deeper insights from big data through advanced analytics

Seamless human-machine collaboration

With AI technology progressing at a historically unique pace, the companies that learn to best leverage the use of these tools today will have a world-altering edge over their rivals.

Takeaway Conclusion Looking toward the future

Azure AI Services are certainly not a fleeting fad. As the largest tech funders in the country, they are at the vanguard of the change to smart, 21st century enterprises. In practice, it isn’t totally what they can do, but how easy they are to use, scale, and magic they’re bringing to the table that makes them perfectly fit for every type and size of business and industry. Combined with all the new capabilities available through Azure AI and ML Services, organizations can continuously innovate at a greater speed, provide more personalized, intelligent customer experiences, and achieve more efficient growth.

Whether you’re just getting started with AI or you’re deep into designing intelligent solutions, now is the perfect time to start building with Azure.

Want to go beyond the basics and get more advanced with your own communications practice? Register for the Next Step—Azure Migration Services

Want to learn how to get the most out of what AI has to offer? Move your infrastructure to Azure with assistance from proven, industry-leading Azure migration services. It’s only the beginning though – get ready to learn how you can architect smart, smart, optimized, and future-ready

[nanforiberica]

MB-7005: Create and Manage Journeys with Dynamics 365 Customer – Your Path to Personalized Engagement

In today’s competitive market, businesses must go beyond traditional customer relationship management. Creating personalized and consistent experiences across the entire customer journey is essential. That’s where Microsoft’s MB-7005: Create and Manage Journeys with Dynamics 365 Customer course comes into play. Offered by Nanfor, this specialized training equips professionals with the skills to plan, execute, and manage effective customer journeys using Microsoft’s powerful Dynamics 365 platform.What Is the MB-7005 Course?MB-7005 is a targeted course that focuses on helping professionals create and manage customer journeys using Dynamics 365 Customer Insights - Journeys (formerly Dynamics 365 Marketing). This powerful tool enables organizations to automate and personalize marketing communications, drive engagement, and build long-lasting relationships with customers.Key Learning ObjectivesBy enrolling in the MB-7005 course, learners will:Understand the core concepts of customer journeys, including trigger-based actions and personalized content delivery.Learn to create multi-channel campaigns using email, SMS, push notifications, and social media.Gain insight into segmentation, lead scoring, and real-time tracking of customer behaviors.Master the use of Customer Insights to unify data and deliver timely and relevant messages.Learn how to evaluate campaign performance using built-in analytics and reporting tools.This course is ideal for marketing professionals, CRM administrators, and business analysts looking to enhance their ability to design and implement effective customer experiences.Why Choose Dynamics 365 for Customer Journeys?Dynamics 365 Customer provides a unified platform that connects sales, marketing, and customer service. With features like AI-driven insights, automation, and integration with Microsoft tools, it’s the ideal solution for organizations seeking smarter, data-driven engagement.By mastering this platform through MB-7005, professionals can:Increase customer satisfaction and loyalty through tailored communication.Improve campaign ROI with advanced targeting and analytics.Streamline operations by integrating marketing efforts with sales and customer service.Learn with Nanfor – A Trusted Microsoft PartnerAs a Microsoft-certified learning provider, Nanfor delivers expert-led training tailored to industry needs. Their MB-7005 course offers hands-on labs, up-to-date content, and support from experienced instructors, ensuring learners gain real-world skills.Start Your Journey TodayIf you're looking to enhance your customer engagement strategy, MB-7005: Create and Manage Journeys with Dynamics 365 Customer is your next step. Visit Nanfor’s course page to enroll today and transform how you connect with your customers.  For more info visit here:- Prompt engineering con Chat GPT de OpenAI y Microsoft Copilot

[christopherbragg]

SENDLE Sendle is the only 100% carbon neutral shipping option made for small businesses. I loved working there because small businesses are what make every community unique, and I believe it's important to promote them. Court Gen Z and Millenials for sweet holiday success Five fun ways to find sanity this peak season On Launching a Carbon Neutral Shipping Service - Starter Story Need great eCommerce promo ideas? There's a national day for that Do customers really care if your packaging is sustainable? Sendle's 2021 brand campaign: Delivering for small business The secret to tasty produce from your own garden? Composting at home. Introducing Sendle returns, for when regifting isn't an option (includes video) Behind the Brand: The Honest Jones Smarter, authentic, and people-centric: 4 small business trends for 2022 Behind the Brand: Oleu Life Seller-friendly shopping frenzy: get in on the next Afterpay Day Ladies who launch: resources for the next generation of women-owned businesses 3 fashion B Corps keeping your old favorites out of landfill Shipping small stuff? 250g Sendle Pouch is a big deal! 4 easy steps to resize a cardboard box and save big (includes video) How to save time and money with saved sizes from Sendle (includes video) Take the plastic out of Easter for sustainable family fun Don't toss those expired Sendle mailers! They're still useful and fun. Trash into treasure: the future of sustainable packaging Ethical and sustainable Mother's Day gifts to show her you care Earth-friendly ways to revamp your online shopping habit 5 ways to change up your shipping for a happier planet The mighty grizzly bear, a symbol for habitat loss around the world Sendle reveals a grizzly truth this Earth Day Get minimal: reuse packaging and use as little as possible Kobi Co. brings the scents and sounds of luxury to self-care Printer-free Packaging Ideas with Sendle and eBay Australia (video) How to add indigenous place names to shipping labels Surprising sustainability strategies for your small business Sendle Australia's sweet suite of shipping services Happybond: healthy pet nutrition shipped sustainably to your door Brill: instant specialty coffee for a new generation of busy connoisseurs Don't forget Dad! Father's Day gifts for 2022, shipped sustainably War on Waste Weekly: fighting plastic waste with eco-friendly soap Reclaim space and free up money by shipping made-to-order

MICROSOFT Microsoft Azure Marketplace and AppSource allow independent software vendors to sell their solutions via the cloud and by download. In addition to executing go-to-market partner benefits like marketplace listing optimizations and social media posts, my team provided press release support and introduced new offers via short product descriptions in regular "What's New" blog posts. We also worked closely with partners to create success stories like the ones below. PZ Cussons boosts deployment speed by 60 percent thanks to Casper365 SharePoint management, ‘an absolute game-changer’  XContent lowers its customers’ cloud spend up to 32 percent with CloudMonitor AI-enhanced operations management for growing enterprises with CoreStack and Microsoft Azure EVA Group transforms its processes with the transition to Microsoft Dynamics 365 Business Central With CI/CD improvements and shorter release times, J. J. Keller & Associates focuses on creating impactful features using Split Software’s Azure DevOps integration BECIS confidently manages green energy solutions with EvergreenWorx CMMS Aviatrix increases estimated revenue over 200 percent thanks to choosing Microsoft Marketplace Rewards WeTransact unlocks the Microsoft marketplace with Azure and Azure OpenAI Service Qatar Charity shrinks IT maintenance costs by 40% and increases its call center efficiency thanks to Copilot AI and Netways Quintain brings properties to life with help from Simply Dynamics and Microsoft Dynamics 365 BSi modernizes delivery proof with KPoD digital signatures and Microsoft Dynamics 365 Finance, reducing errors by 80 percent SoftCo speeds marketplace integration thanks to WeTransact Transmit Security and Azure Active Directory B2C help to prevent fraud across the full customer identity lifecycle Keeping websites securely running in real time with elmah.io and Microsoft Azure Securing APIs to enable the burgeoning digital economy with Noname API Security and Microsoft Azure

LIVE IN EVERETT Inspired by out-of-the-way businesses I only knew about because I walked by them, I submitted my first post to Live in Everett back in 2017. It struck a chord with people like me who appreciate the old, weird, fun places that just don't get enough attention. I'm the blog's top producer, with over 100 posts and guides. Note that while I'm not a photographer, I take great photos and most of my posts feature them. See my author page or check out some favorite posts: Happy Trails to You: Japanese Gulch (first in a long series) Own a Piece of Paradise on Hat Island This Mansion in Everett is Looking for a Home Worth Leaving Town For: Edison Chicken Parade Art with Heart: Shelter Pet Portraits by Seniors at Paws With Cause Hewitt Avenue Arts Update: Lucky Dime and Black Lab Gallery Back for Round 2: Flying Pig

SEATTLE NORTHCOUNTRY I'm very grateful for the opportunities that have come my way from the Snohomish County Tourism Bureau, AKA Seattle NorthCountry. Unlike a lot of writers, I enjoy the listicle format and much of what I've written on this blog uses it.

Restaurants: Fresh, Complex, Vegan-friendly: Mukilteo's Nori Teriyaki Alderwood Meals: Elemental Pizza and BittyFish Sushi The Great PNW Burger Road Trip Meatheads Smokehouse and Beer Works Nightlife: See a Show at Lucky Dime in Everett Pride Month Profiles: Paca Pride Guest Ranch Chinook ATV Petrikor Living Catalyst Cafe Shopping: The Gift of Themed Getaways  Buy Now, Enjoy Later: Experiences as Holiday Gifts  Upgrade Your Menu at Home  Artisan Goods  Shopping for Pets and the People Who Love Them  Downtown Everett’s Houseplant Haven: Planted TikTok: Lime Kiln Trail Crave 80s/Another Castle Lamb & Co. Storefront Rocket Alley Future of Flight Arlington Art Walk and eagle watching BobaKhan Toys and Collectibles Antiquing in Snohomish Exploring Downtown Edmonds

[sgcustom0918]

Top 10 Tools for Digital Transformation Success

Digital transformation specialist relies on various tools to improve efficiency, automate workflows, and enhance customer experiences. Here are the top 10 tools that drive digital transformation success:

1. Cloud Computing Platforms

Tools: AWS, Microsoft Azure, Google Cloud

Enable scalability, security, and remote accessibility.

Power data storage, machine learning, and enterprise applications.

2. Customer Relationship Management (CRM)

Tools: Salesforce, HubSpot, Microsoft Dynamics 365

Centralizes customer data for improved sales, marketing, and support.

Uses AI-driven insights to enhance customer engagement.

3. Enterprise Resource Planning (ERP)

Tools: SAP S/4HANA, Oracle NetSuite, Microsoft Dynamics 365 ERP

Integrates finance, HR, supply chain, and operations into a unified system.

Enhances decision-making with real-time analytics.

4. Robotic Process Automation (RPA)

Tools: UiPath, Automation Anywhere, Blue Prism

Automates repetitive tasks, reducing manual effort and errors.

Improves efficiency in finance, HR, and customer service processes.

5. Business Intelligence & Data Analytics

Tools: Power BI, Tableau, Google Looker

Visualizes business data for actionable insights.

Uses AI-powered analytics for predictive decision-making.

6. Cybersecurity & Compliance

Tools: Palo Alto Networks, Cisco Security, Okta

Protects digital assets from cyber threats and ensures compliance.

Implements multi-factor authentication (MFA) and zero-trust security models.

7. Collaboration & Productivity

Tools: Microsoft 365, Google Workspace, Slack, Zoom

Enhances remote work and real-time collaboration.

Integrates cloud storage, messaging, and video conferencing.

8. Artificial Intelligence & Machine Learning

Tools: IBM Watson, Google Vertex AI, OpenAI API

Automates decision-making, enhances customer service, and drives predictive analytics.

Personalizes customer experiences through AI-driven insights.

9. Low-Code/No-Code Development

Tools: Mendix, OutSystems, Microsoft Power Apps

Enables non-developers to create applications quickly.

Speeds up digital transformation by reducing dependency on IT teams.

10. Internet of Things (IoT) & Edge Computing

Tools: AWS IoT, Google Cloud IoT, PTC ThingWorx

Connects devices and sensors for real-time monitoring.

Optimizes supply chain, manufacturing, and smart infrastructure.

How This Relates to Operations Excellence

Since you are in Operations Excellence Management, tools like RPA, ERP, and Business Intelligence can significantly enhance process efficiency and automation in your field. Implementing these can help you drive cost reduction, productivity gains, and data-driven decision-making in operations.

Would you like recommendations on specific tools that fit your industry or current role?

[jcmarchi]

How Vertical AI Agents Are Transforming Industry Intelligence in 2025

New Post has been published on https://thedigitalinsider.com/how-vertical-ai-agents-are-transforming-industry-intelligence-in-2025/

How Vertical AI Agents Are Transforming Industry Intelligence in 2025

If 2024 was the year of significant advancements in general AI, 2025 is shaping up to be the year of specialized AI systems. Known as vertical AI agents, these purpose-built solutions combine advanced AI capabilities with deep domain expertise to tackle industry-specific challenges. McKinsey estimates that over 70% of AI’s total value potential will come from these vertical AI applications. Gartner predicts that more than 80% of enterprises will have used vertical AI by 2026. This article explores how vertical AI agents are reshaping industry intelligence and paving the way for a new era of business innovation.

From General-Purpose to Specialized AI

If you take a step back and look at the bigger picture of technological evolution, the shift from general-purpose AI to industry-specific AI is nothing new. It reflects a similar trend we have seen before. For instance, in the early days of enterprise software, platforms like SAP and Oracle offered broad capabilities that required extensive customization to meet unique business needs. Over time, vendors introduced tailored solutions like Salesforce Health Cloud for healthcare or Microsoft Dynamics 365 for retail, offering pre-built functionalities designed for specific industries.

Similarly, AI initially focused on general-purpose capabilities like pre-trained models and development platforms, which provided a foundation for building advanced solutions but required significant customization to develop industry-specific applications.

Vertical AI agents are bridging this gap. Solutions like PathAI in healthcare, Vue.ai in retail, and Feedzai in finance empower businesses with highly accurate and efficient tools specifically designed to meet their requirements. Gartner predicts that organizations using vertical AI see a 25% return on investment (ROI) compared to those relying on general-purpose AI. This figure highlights the effectiveness of vertical AI in addressing unique industry challenges.

Vertical AI: Next Level in AI Democratization

The rise of vertical AI agents is essentially the next big step in making AI more accessible to industry. In the early days, developing AI was expensive and limited to large corporations and research institutions due to the high costs and expertise required. Cloud platforms like AWS, Microsoft Azure, and Google Cloud have since made scalable infrastructure more affordable. Pre-trained models like OpenAI’s GPT and Google’s Gemini have allowed businesses to fine-tune AI for specific needs without requiring deep technical expertise or massive datasets. Low-code and no-code tools like Google AutoML and Microsoft Power Platform have taken it a step further, making AI accessible even to non-technical users. Vertical AI takes this accessibility to the next level by providing tools that are pre-configured for specific industry needs, reducing customization efforts and delivering better, more efficient results.

Why Vertical AI is a Billion Dollar Market

Vertical AI has the potential to redefine industries much like software-as-a-service (SaaS) did in the past. While SaaS made software scalable and accessible, vertical AI can take this one step further by automating entire workflows. For instance, while SaaS platforms like Salesforce improved customer relationship management, vertical AI agents can go a step further to autonomously identify sales opportunities and recommend personalized interactions.

By taking over repetitive tasks, vertical AI allows businesses to use their resources more effectively. In manufacturing, for example, vertical AI agents can predict equipment failures, optimize production schedules, and enhance supply chain management. These solutions not only improve efficiency but also reduce labor costs. Additionally, vertical AI agents integrate seamlessly with proprietary tools and workflows, significantly reducing the effort needed for integration. For example, in retail, vertical AI like Vue.ai integrates directly with e-commerce platforms and CRMs to analyze customer behavior and recommend personalized products, minimizing integration effort while improving efficiency. Moreover, vertical AI agents are designed to work within specific regulatory frameworks, such as Basel III in finance or HIPAA in healthcare, ensuring businesses can utilize AI without compromising on industry standards or ethical AI requirements.

Hence, it’s no surprise that the vertical AI market, valued at $5.1 billion in 2024, is projected to reach $47.1 billion by 2030 and could surpass $100 billion by 2032.

Vertical AI Agents in Action: Automotive AI Agents

Google Cloud has recently launched its vertical AI agents specifically designed for the automotive industry. Known as automotive AI agents, these tools are designed to help automakers create intelligent, customizable in-car assistants. Automakers can customize the agents by defining unique wake words, integrating third-party applications, and adding proprietary features. Integrated with vehicle systems and Android Automotive OS, these agents offer features like voice-controlled navigation, hands-free media playback, and predictive insights.

Mercedes-Benz has adopted Google Cloud’s Automotive AI Agent for its MBUX Virtual Assistant, debuting in the new CLA model. This enhanced assistant offers conversational interaction, personalized recommendations, proactive assistance, and precise navigation. By enabling hands-free operations, these agents enhance safety and cater to diverse user needs, showcasing the potential of vertical AI to revolutionize industries.

The Road Ahead: Challenges and Opportunities

While vertical AI agents have immense potential, they are not without challenges. Integrating these systems into businesses can be a challenging task due to legacy systems, data silos, and resistance to change. Also, building and deploying vertical AI agents isn’t easy as it requires a rare combination of AI expertise and industry-specific skills. Companies need teams that understand both the technology side and the specific needs of their industry.

As these systems play a bigger role in critical processes, ethical use and human oversight become crucial. Industries will need to develop ethical guidelines and governance frameworks to keep up with the technology.

That said, vertical AI offers enormous opportunities. With their combination of advanced AI and specialized expertise, these agents are set to become the cornerstone of business innovation in 2025 and beyond.

The Road Ahead

The rise of vertical AI agents is a vital moment in the evolution of industry intelligence. By addressing industry-specific challenges with ease and perfection, these systems have potential to redefine how businesses operate. However, their successful adoption will depend on overcoming integration challenges, building cross-disciplinary expertise, and ensuring ethical deployment.

As vertical AI continues to gain traction in 2025, it will likely reshape industries and redefine business operations. Companies that adopt these solutions early will position themselves to lead in an increasingly competitive market.

[avocodedigital]

Apple Skips OpenAI Investment - Microsoft Steps In

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Apple Skips OpenAI Investment - What It Means

In a surprising turn of events, Apple has decided not to follow through with an investment in OpenAI, despite former speculations suggesting otherwise. This unexpected move has not gone unnoticed in the tech world, as many anticipated that Apple, a behemoth in technology and innovation, would join the ranks of companies seeking to capitalize on the booming AI sector.

Why Apple Is Hesitant

There could be several reasons behind Apple's hesitation. Understanding these factors can provide insights into the strategic thinking of one of the world's most secretive companies.

Risk of Overextension: Apple might be wary of overextending itself with too many diverse ventures. With so many ongoing projects in other technological arenas such as augmented reality (AR) and health tech, adding a significant investment in AI could strain resources.

Value Misalignment: It's possible that Apple doesn’t see a direct alignment between its current values and the mission of OpenAI. Despite AI’s potential, Apple may prioritize areas where it sees more immediate and direct benefits.

Vested Interests in Proprietary AI: Apple has been historically committed to developing its proprietary technologies. Investing in OpenAI might conflict with Apple's efforts to cultivate its in-house AI capabilities.

Microsoft’s Bold Move

Meanwhile, Microsoft sees an opportunity where Apple sees risk. Microsoft’s decision to step in and invest in OpenAI underscores its aggressive strategy to harness the power of AI.

A Strategic Fit

Microsoft's investment in OpenAI isn’t just a shot in the dark; it’s a well-considered strategic endeavor.

Enhancing Existing Platforms: AI can significantly enhance Microsoft’s existing software platforms such as Azure, Office 365, and its burgeoning suite of cloud services. The synergy could propel Microsoft ahead in the competitive tech landscape.

Commitment to Innovation: For years, Microsoft has demonstrated a growing commitment to innovation, marked by its active participation in AI, cloud computing, and quantum computing. This investment further cements Microsoft's role as a frontrunner in revolutionary technologies.

Ethical AI Focus: OpenAI's mission aligns with Microsoft's growing emphasis on ethical AI practices. This partnership could help in creating more transparent, fair, and ethical AI solutions.

Implications for the Tech Industry

This divergence in strategy between Apple and Microsoft could have broader implications for the tech industry. Each company’s move signals its broader goals and offers a glimpse into the future of technology.

Market Dynamics

Microsoft's investment might shift the AI market dynamics considerably.

Setting a Benchmark: Microsoft's leadership could set a benchmark, pushing other tech companies to accelerate their AI investments. This could spur intense competition and speed up the rate of innovation within the industry.

Partnership Opportunities: Smaller tech firms might look to partner with Microsoft or similar giants to leverage shared AI technologies, creating an ecosystem of collaboration that benefits the tech industry as a whole.

Consumer Impact

The end consumers stand to benefit immensely from these strategic investments.

Advanced Features in Everyday Tech: With resources poured into AI, consumers could experience more advanced features in software and gadgets, from smarter assistants to more intuitive user interfaces.

Improved AI Ethics: If companies like Microsoft and OpenAI continue to focus on ethical AI, consumers will benefit from technology that's not only smart but also respects privacy and fairness.

What’s Next for Apple?

Despite stepping back from an OpenAI investment, Apple is far from out of the AI race. Rather, this could signify new strategies and ventures that we haven’t seen yet.

Focusing on Proprietary Developments

Apple might be doubling down on its proprietary AI developments to retain a competitive edge.

AI in Augmented Reality: Apple has been very vocal about its interests in augmented reality. Proprietary AI could play a significant role in making AR more interactive and user-friendly.

Health Tech Advancements: With increasing investments in health technology, AI could revolutionize the kind of healthcare solutions Apple aims to offer, such as improved diagnostics and personalized health plans.

Enhanced User Experience: Apple might be aiming to integrate more seamless and intuitive AI features into its iOS ecosystem. This could translate to potential enhancements in Siri or other in-built software functionalities.

Strategic Partnerships

Instead of OpenAI, Apple could be exploring other strategic partnerships that better align with its goals.

Collaborations with Academic Institutions: Apple might invest more in academic collaborations to foster cutting-edge research in AI while retaining intellectual property rights.

Acquisitions: Apple could also be on the lookout for smaller but innovative AI startups that offer niche capabilities, which can be seamlessly integrated into its ecosystem.

The Road Ahead

As we delve deeper into this new AI-driven era, the divergent strategies of Apple and Microsoft highlight their unique approaches to innovation and market dominance. While Microsoft's investment in OpenAI marks a bold step into the future of technology, Apple's decision to hold back suggests a more cautious, yet potentially transformational path.

Conclusion

The choices made by these tech giants will undoubtedly shape the future of AI and technology as a whole. Whether through proprietary advancements, strategic partnerships, or industry collaborations, both Apple and Microsoft remain at the forefront of technological innovation. As consumers and industry watchers, it will be fascinating to see how these strategies unfold and influence our tech-driven lives in the coming years. Want more? Join the newsletter: https://avocode.digital/newsletter/

[boonars]

🧠 Build a GPT Assistant to Communicate with Dynamics 365 CRM

With the power of OpenAI’s GPT models and the flexibility of Microsoft Dynamics 365 CRM (Dataverse), you can now build intelligent assistants that automate CRM tasks, answer queries, and streamline operations. In this article, I’ll walk you through building a basic GPT that connects to Dynamics 365 CRM. ✅ Why Integrate GPT with Dynamics 365? Imagine asking natural language questions like: “Show…

[govindhtech]

Copilot Agents, Pages & More In Microsoft 365 Copilot Wave 2

Second, the Microsoft 365 app Copilot is improving quickly. Its users say Copilot in Microsoft Teams has transformed meetings forever and is the most valuable feature. We’re delighted to do the same for advanced Excel data analysis, PowerPoint storytelling, Outlook mailbox management, and more.

Third, Copilot agents make it easier and faster than ever to automate and execute business operations for you, letting you extend your team like never before.

Enterprises and small businesses help Copilot improve daily. Over 700 product upgrades and 150 new features were released this year based on that feedback. With GPT-4o and better orchestration, performance has increased greatly. Over two times faster copilot replies and nearly three times higher satisfaction. It created the world’s best AI feedback loop with Copilot. Copilot will continue to receive all the newest models and be improved based on your feedback, bringing new capabilities and models like OpenAI o1 with advanced reasoning.

Copilot Pages, the first AI-era digital artifact

Copilot is AI’s new UI. The process begins with Business Chat (BizChat), a single hub that integrates online, work, and line of business data into your workflow. BizChat combines your organizational content into a rich database of information and insight, letting you work with Copilot like a partner and converting every item into a reusable business asset. Iam thrilled to inform about Copilot Pages, a dynamic, persistent canvas for multiplayer AI collaboration.

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Pages preserves AI-generated material so you may modify, contribute to, and share it. Copilot lets you and your team collaborate in a page, seeing everyone’s work in real time and iterating with Copilot like a partner to add new data, files, and web content. This new work pattern is multiplayer, human-to-AI-to-human collaboration. Page availability begins today for Microsoft 365 Copilot subscribers and will expand in September 2024.

In upcoming weeks, Copilot Pages will be available to over 400 million users with a Microsoft Entra account, providing web grounding, enterprise data protection (EDP), and Pages. Microsoft Copilot is available at Microsoft.com/copilot and may be pinned in the Microsoft 365 app, Outlook, and Teams.

Powering productivity with Microsoft 365 Copilot

Microsoft 365 apps function for millions worldwide. There, Copilot is already a daily habit, boosting productivity and saving time.

Copilot in Excel 

Microsoft Excel is the front-end for all your business data, so people use it to work with it and get real value. Microsoft has announced Copilot in Excel’s general availability. Now you may work with non-table data. Its new talents allow more formulas like XLOOKUP and SUMIF, conditional formatting, and Copilot iteration on visualizations like charts and PivotTables to maximize Excel’s capability. Copilot in Excel now handles text as well as numbers.

Python, one of the most popular data-working computer languages, is now available with Copilot in Excel. Copilot lets anyone use natural language to forecast, risk, machine learn, and visualize complicated data without coding. It’s like hiring a skilled data analyst. Public preview of Excel-Python Copilot.

Copilot in PowerPoint 

Nobody turns an idea into a polished presentation in one prompt. Now publicly accessible, Narrative builder in Microsoft PowerPoint lets you collaborate with Copilot like a collaborator to generate a superb first draft in minutes while maintaining creative control. Copilot generates an outline with topics you may change and refine to create a presentation draft from your prompt. Soon, you can ground your topics with files in the outline. Brand manager lets Copilot use your company’s template for enterprise-ready, on-brand presentations. Copilot will soon import SharePoint Organization Asset Library company-approved photos.

Copilot in Teams

The spoken and chat exchanges at meetings today are crucial. Copilot in Teams can now analyze the meeting transcript and chat to provide a complete picture. For example, you can ask Copilot if you missed any questions in a meeting, and it will swiftly examine what was spoken and typed in the chat to find any unanswered questions. With Copilot in Teams, no inquiry, idea, or input is lost. This feature usually launches in September 2024.

Copilot in Outlook

Everyone struggles with email overload. Now, Copilot in Outlook lets you rapidly get to the messages that matter by evaluating your inbox based on email content and role context, such as who you report to and which email threads you’ve responded to. No more reading long emails Copilot automatically summarizes each one and highlights why it prioritized it and top observations. Soon, you may teach Copilot your favorite topics, keywords, and persons, making such emails high priority. The public will preview these features in late 2024.

Copilot in Word 

Microsoft Word commonly requires content from other documents and apps. However, finding and using the right information can take time and disrupt your writing. Later in September 2024, Copilot in Word will let you easily reference online data, work data like Word, PowerPoint, PDFs, and encrypted documents, emails, and meetings. It combines this information into your work flow so you can quickly write a good first draft. Microsoft made Copilot in Word a better writing buddy. A new, on-canvas start experience with suggested suggestions to jumpstart your creative process and inline collaboration with Copilot while you work on specific document sections are now generally accessible.

Copilot in OneDrive

Professionals keep their personal work files in Microsoft OneDrive, but we all spend too much time finding the proper documents or remembering which ones have the content we need. Copilot in OneDrive can swiftly reason over all your files to locate the information you need, making it easy to get insights, summarize, and compare up to five files with a clear, easy-to-read summary of the contents and differences without opening a file. OneDrive Copilot will be accessible by September 2024.

Copilot agents enable unprecedented team scaling

Introducing the general availability of Copilot agents. AI aides are called agents to automate and execute business procedures for humans. Simple prompt-and-response agents, agents that replace repetitious activities, and completely autonomous agents are all possible. You can do all this and more with Copilot agents by integrating agent power into your job. Copilot manages and orchestrates background agents for you. All Copilot agents are easy to operate and provide Responsible AI and EDP your data never escapes Microsoft 365 trust boundaries and everything happens within your tenant. Use pre-built agents like the new Visual creation agent to create AI-generated graphics, designs, and movies.

Its new, simpler agent builder powered by Copilot Studio makes building Copilot agents even easier.

BizChat

Anyone may simply create a Copilot agent in BizChat or SharePoint, unlocking the massive knowledge library in your SharePoint files. For instance, you could use agent builder to create an agent in BizChat, quickly connect it to SharePoint to load it with business process data, and instantly have a powerful knowledge resource you can share with colleagues in Teams or Outlook. Mention the agent like any other colleague to share new information and ask real-time inquiries. To develop a more powerful agent, you can tweak it in Copilot Studio to connect to a data source or conduct actions for you.

In the coming weeks, BizChat copilot agents and agent builder will be available to all customers. Copilot agents and SharePoint agent builder will preview in early October.

Read more on govindhtech.com

[ontogen1]

Which one could be more authentic for digital marketing?

Let's keep a competition between the popular Artificial intelligence (AI) ChatGPT4, Gemini AI, and Microsoft Copilot. Which one will win? In this ever-changing digital marketing world, we should know to be the expert in Artificial Intelligence, for our own business benefit as marketers or businessmen. But first, let us have a look at how these popular AIs were created. If you look into many industries, Artificial Intelligence is rapidly breaking records. Though Artificial Intelligence is helping out many, people are more worried about what it will do to us negatively. The reason being companies all over the world firing people left and right over AI. But these three companies, OpenAI, Microsoft and Google, have made sure to create Artificial Intelligence that will make it easier to do our work rather than it being a threat in our lives.

The origin of these Artificial Intelligence.

ChatGPT: ChatGPT is used for writing new text for your writing content or assignments. It does that by creating a chat piece of software, where users can enter their query and it will process the answer. Gemini AI: Gemini AI was created by Google, which was formerly known as Bard. It is used to make exactly like human conversations. It tries to gather millions of data using a language named Natural Language processing and Machine learning for its human conversations. Microsoft Copilot: Microsoft Copilot is mainly used to improve your work that you do on a daily basis. It was introduced by Microsoft 365, the all in one app for Microsoft Office. Microsoft Copilot works through business chat, where you can give some prompt like, “Can you walk me through my upcoming meetings”, and it will exactly tell whatever meetings we’re to be held tomorrow.

How do these AI process information?

ChatGPT: The team of OpenAI has trained ChatGPT to be more conversational exactly like humans. It takes knowledge from hundreds of systems as it is a large learning program and uses that information to answer our questions just like a human would. Gemini AI: Gemini AI uses a language called Natural Language Process to know how human communicate and tries to talk like us humans. But, Gemini AI just tries to provide technical answers instead of trying to answer them like humans as of now. More improvements are coming in the future. Microsoft Copilot: Similar to ChatGPT, Microsoft Copilot uses the same language Large Language Models as ChatGPT which it uses for gathering information from emails, calendars, chats and documents.

How up to date is it?

To test how every AI is whether up to date, we asked the AI itself how updated they are. Obviously, The free version does not have many updates.

Which one is more reliable for online marketing?

For digital marketers, it is crucial to have budget friendly options as well as up to date options. Therefore,

ChatGPT: For writers it helps with creating content. For social media marketing it helps with finding content with latest trends and creating them according to the latest trends. It can create backlinks and optimize through SEO. Gemini AI: This Artificial Intelligence has the full capability to find our target audience and predict what type of user behavior it intends. Marketers are born to promote, in advertising and marketing, Gemini AI helps with proper promotional strategies, making it more useful. Copilot: While all AI are helping us marketers to find target audience and tailor our content according to them, Copilot offers similar services. Microsoft 365 has launched dynamic 365 customer insights where Copilot offers more nuanced assistance for us digital marketers to promote our products.

Who wins?

Though all AI are advanced in their own unique ways, it is important to note that every marketer has different needs and three of the AIs can help you with that. It really depends on how your business needs marketing and advertising. For example, if you need your blogs to be improved, your email marketing needs to be amplified, you can use ChatGPT. If you need to use image creation for free and also find your audience according to your niche, you’ve got Gemini AI, which you cannot do from ChatGPT. If you need more business assistance and corporate solutions, you can use Copilot, as it has been created mainly for business professionals. However, you need to keep in mind that creating content from AI has its own drawbacks. From repetitive content to misinformation, AI can also disrupt your content. It is important to check with a human editor to create more authentic, natural content.

[arboretum-arrangement-advice]

Billionaire Stan Druckenmiller Adjusts AI Stock Holdings: Nvidia Reduced, Microsoft and Arista Networks Added

Druckenmiller sells down Nvidia, diversifies portfolio with alternative AI stocks

Billionaire investor Stan Druckenmiller, renowned for his successful track record in the financial industry, made some notable changes to his portfolio during the fourth quarter. Druckenmiller, who manages his personal wealth through the Duquesne Family Office, reduced his position in Nvidia stock while simultaneously adding shares of two alternative artificial intelligence (AI) stocks. This move reflects his continued bullishness on the AI sector, albeit with a slight shift in focus.

Let's delve into the details of Druckenmiller's portfolio adjustments and explore the potential of the AI stocks he has chosen.

Druckenmiller's Adjustments to Nvidia Position

During the fourth quarter, Druckenmiller decreased his stake in Nvidia stock by 29%. However, he employed a strategy to maintain exposure to the AI chipmaker by purchasing call options, which allow investors to buy a stock at a predetermined price in the future. This approach enabled Druckenmiller to reduce costs and mitigate risk while still benefiting from Nvidia's potential upside.

It is worth noting that Nvidia's stock price has surged since the fourth quarter, making Druckenmiller's decision to reduce his position even more intriguing.

Microsoft: A Dominant Player in Enterprise Software and AI

One of the alternative AI stocks that Druckenmiller added to his portfolio is Microsoft. As the largest enterprise software company globally, Microsoft holds a strong presence in various verticals, including business productivity and enterprise resource planning. The company's Microsoft 365 and Dynamics 365 suites have contributed to its dominance in these areas.

Additionally, Microsoft Azure, the company's cloud platform, has gained market share in cloud infrastructure and platform services. Azure's strength in data management, cybersecurity solutions, and AI and machine learning services has propelled its growth.

Microsoft's partnership with OpenAI, in which it is the largest investor and exclusive cloud provider, further enhances its position in the AI space. The collaboration allows Microsoft to monetize the usage of OpenAI's applications and enables Azure customers to build custom generative AI applications using OpenAI's language models. Microsoft's investments in AI, including its generative AI capabilities in Microsoft 365 Copilot and enterprise resource planning software, position the company to capitalize on the growing adoption of AI systems.

While Wall Street analysts expect Microsoft to achieve solid earnings growth in the coming years, the current valuation may be considered high. Investors may want to wait for a more attractive entry point before establishing a significant position in the stock.

Arista Networks: Leading the Way in Cloud Networking Solutions

The second AI stock Druckenmiller added to his portfolio is Arista Networks. As a pioneer and market leader in cloud networking solutions, Arista specializes in switching and routing platforms that connect compute and storage in high-speed data centers. The company's fast switches are essential for running demanding workloads such as AI applications.

Arista has differentiated itself from competitors by utilizing its Extensible Operating System, which powers every Arista platform, and incorporating third-party silicon into its switches.

Arista has been steadily gaining market share in the data center switch market, narrowing the gap with industry leader Cisco Systems. The company's dominance in the high-speed data center switch market, offering throughput of 100G, 200G, and 400G, further solidifies its position. Arista's financial performance in the fourth quarter demonstrated its ability to outpace the industry in quality, support, and innovation.

As demand for faster networking solutions grows with the rise of cloud computing and AI, Arista is well-positioned to benefit. However, considering the recent strong performance and the cyclical nature of hardware sales, investors may want to wait for a more significant pullback in the stock's valuation before making substantial investments.

Stan Druckenmiller's portfolio adjustments during the fourth quarter provide insights into his evolving investment strategy in the AI sector. While reducing his position in Nvidia, Druckenmiller maintained exposure to the company through call options. He also diversified his holdings by adding Microsoft and Arista Networks to his portfolio, recognizing their potential in the AI space.

Microsoft's dominance in enterprise software and its partnership with OpenAI position it for significant growth, while Arista's leadership in cloud networking solutions makes it a key player in the industry.

Investors should carefully consider the current valuations of these AI stocks before making investment decisions. Waiting for more attractive entry points may be prudent, given the recent strong performance and potential cyclical factors that could impact the stocks' growth. As the AI sector continues to evolve, Druckenmiller's portfolio adjustments serve as a valuable guide for investors seeking exposure to this transformative technology.

[nanforiberica]

AZ-2007: Accelerate App Development by Using GitHub Copilot

In today’s fast-paced digital world, accelerating software development without compromising on quality is a major goal for developers and businesses alike. One of the most revolutionary tools available to meet this demand is GitHub Copilot, an AI-powered coding assistant that helps streamline the coding process. If you’re looking to upskill and harness the power of Copilot, the AZ-2007: Accelerate App Development by Using GitHub Copilot course by Nanfor Ibérica is your gateway to becoming a more efficient and productive developer.

What is GitHub Copilot?

Developed by GitHub and OpenAI, GitHub Copilot is an AI assistant that suggests entire lines or blocks of code directly in your development environment. It supports a wide range of programming languages and frameworks and learns from billions of lines of code from public repositories to help developers write code faster and with fewer errors.

Whether you're writing Python, JavaScript, TypeScript, Ruby, or Go, Copilot can assist in generating boilerplate code, finding solutions to programming challenges, and speeding up repetitive tasks.

Why Choose AZ-2007?

The AZ-2007 course is designed specifically for developers who want to integrate AI into their development workflow. Here’s what makes this course an invaluable asset:

Hands-on Training: Learn to work with GitHub Copilot in real-world app development scenarios.

Productivity Boost: Understand how to use Copilot to increase coding speed and reduce debugging time.

Best Practices: Learn responsible AI usage, ensuring ethical and secure integration of Copilot into your projects.

Creative Coding: Get inspired with new coding patterns and approaches Copilot introduces to your workflow.

What You’ll Learn

In the AZ-2007 course, participants will:

Understand how GitHub Copilot works behind the scenes.

Learn to set up and configure GitHub Copilot in VS Code.

Explore techniques for prompting Copilot effectively to generate useful code.

Integrate Copilot into collaborative development workflows.

Address limitations, potential biases, and legal considerations of AI-assisted coding.

This course is perfect for software developers, DevOps professionals, and tech teams eager to shorten development cycles, reduce repetitive coding tasks, and experiment with modern AI-driven development tools.

Benefits of Learning with Nanfor Ibérica

Nanfor Ibérica offers a learning environment tailored to professionals, featuring:

Certified instructors with industry experience

Official Microsoft training modules

Flexible online learning options

Certificate of completion recognized by employers

With Nanfor Ibérica, you’re not just learning about a tool—you’re gaining practical skills that can be immediately applied in your development career.

Get Started Today

Ready to revolutionize your coding workflow with AI? Enroll in AZ-2007: Accelerate App Development by Using GitHub Copilot and take the next step toward smarter, faster software development. Whether you're working on solo projects or in a team setting, this course equips you with the knowledge to harness GitHub Copilot to its fullest potential.

For more info visit here:- MB-7005: Create and manage journeys with Dynamics 365 Customer