AITOBI ’s Post

While AI is the buzzword of the moment, the reality is that many AI models are untested, require complex data builds over time, and deliver mixed results. The ROI of an AI investment might take years to achieve - so it’s important to evaluate how you can create real value utilizing AI to deliver a return on investment within the first year of implementation. In our exclusive web event with Amazon Web Services (AWS) next Wednesday, May 22nd we'll discuss how organizations can unlock immediate value and get tangible results from AI-powered Field Service and Asset Management by focusing on strengthening decision support and usability for your workforce. Register now! https://hubs.ly/Q02xmKNb0 #AI #artificialintelligence #genAI #AItechnology #utilityofthefuture #gridofthefuture #fieldservice #utilities #AIpoweredFSM #AIforutilities #mobileFSM #mobileworkforce #fieldtechnician

#AWS and #KloudGin are cutting through the AI hype to focus on practical solutions for Field Service and Asset Management with their upcoming webinar. Join me next week to discover how a workforce-centric approach can deliver immediate ROI for today's modern utilities.#AI #FieldService #AssetManagement #DigitalTransformation #utilities #gridmodernization #workforce

“You don’t need to have #generativeAI in everything you do…but you have to have a plan for it” Ayman Husain from Microsoft shares his expertise on Gen AI adoption in the latest episode of Not Another Bot: The Generative AI Show! With this technology driving the helm of digital transformation for enterprises, "TJ" and Ayman dive into the challenges and long road ahead in AI development and deployment. Tune in to learn about 🎧 Automating tasks and strengthening customer relationships with Generative AI: Allowing businesses to do more with less 🎧 Factors to consider when integrating Generative AI: Focusing on desired outcomes, ROI, and areas where it can bring most value 🎧 Integration of ethical governance in deployment of Generative AI: To augment rather than overrule human judgment Don’t miss it! Click here to watch NOW: https://lnkd.in/gkri-9HN Featuring: Ayman Husain, Director of Customer Success, Data, AI and Advanced Analytics, and Azure Intelligent Cloud at Microsoft Tara Shankar Jana "TJ", VP of Product Marketing at Yellow.ai #NotAnotherBot #AIforbusiness #AIadoption

# Unlocking the Future of Enterprise with Generative AI: A Deep Dive In an era where digital transformation is not just an option but a necessity, Ayman Husain and I discuss the forefront of technological evolution - Generative AI, in our top enterprise podcast "Not another bot - The Generative AI show". Join us as we explore the intricate path of AI development and its strategic deployment within enterprises. Takeaways from this episode of the podcast: 🎧 Efficiency & Engagement: Discover how Generative AI is revolutionizing the business landscape by automating tasks and enriching customer relationships, enabling organizations to amplify their capabilities. 🎧 Strategic Integration: Learn the critical factors for successfully integrating Generative AI into your business operations. We delve into aligning with desired outcomes, maximizing ROI, and identifying the domains where Generative AI can deliver unparalleled value. 🎧 Ethical Deployment: The discussion also encompasses the pivotal role of ethical governance in Generative AI deployment, ensuring technology enhances rather than replaces human judgment. Tune in for insights that could redefine your approach to digital transformation. Let's navigate the complexities of AI together, fostering innovation that resonates with both efficiency and ethics. Don’t miss it! Click here to watch NOW: https://lnkd.in/gkri-9HN Listen here: bCast ➡️https://lnkd.in/gcGc2TEK Apple Podcast ➡️ https://lnkd.in/gFw9HENg Spotify ➡️ https://lnkd.in/gvuRZaPA Google Podcast ➡️ https://lnkd.in/gk_Wfdrj YouTube ➡️ https://lnkd.in/gXcY5qwv Featuring: Ayman Husain, Director of Customer Success, Data, AI and Advanced Analytics, and Azure Intelligent Cloud at Microsoft Tara Shankar Jana "TJ", Global VP of Product Marketing- Gen AI and Automation Yellow.ai #GenerativeAI #GenAI #Podcast #AI #Customersuccess #Customerexperience #Customerservice #Customerserviceautomation #Ethics #EthicalAI

Developing GenAI products? Here's what Gartner says: ▶️ Create a plan to deploy and test. ▶️ Focus on the most common use cases. ▶️ Make a roadmap to prioritize opportunities. ▶️ Strive to gain a competitive edge. ▶️ Hold off on long-term future GenAI investments. Important themes include: ✅ Light LLMs: Use these for when big LLMs are too much. ✅ Open-source LLMs: Deep-learning models with open access. ✅ Multistage LLM chains: Libraries connecting LLMs for various tasks. ✅ Model hubs: Repositories for pretrained ML models. ✅ Diffusion AI models: Models using noise to create new data samples. ✅ AI models as a service (AIMaaS): AI model services from cloud providers. These points are the basics for setting up successful GenAI-enabled services. Start simple, stay focused, and prioritize what's impactful. ♻️ Repost if this helps! #GenAI #AI #MachineLearning #TechInnovation #CloudComputing

When we are delivering GenAi services, the best AI business model is, the Feedback Loop Model combined with a RAG (Retrieval-Augmented Generation) approach offers the best path forward. We focus on AI that evolves through user interaction, improving over time which keeps their data fresh and evolving. With #AWS services like #Bedrock, we can leverage mature, pre-trained models while refining them with real-world data, ensuring that our AI delivers more accurate, context-aware solutions tailored to our clients' needs. Also, Bedrock allows us to leverage custom trained models, models like Claude, and the newest models as they are released.

AI is a buzzword, we all know this by now. If you want the attention of investors then start throwing around “Artificial Intelligence” every other sentance. Here’s the problem with that: 1. Most business owners don’t know how to identify a use case for AI 2. Most business owners don’t have the capacity to integrate AI 3. AI can be very expensive. 4. Most AI developers work with large enterprises with unlimited budgets 5. Most AI developers are focused on large scale LLM’s I help entrepreneurs integrate AI into their business with minimum effort, leveraging the Azure AI platform. As a certified Microsoft AI administrator I build custom solutions that make day-to-day operations run smoother, improve the customer experience, and drive growth. https://lnkd.in/eK_PG43Y

Ready to harness the power of AI/ML ⚡️ for your business? Discover how AI/ML tools can revolutionize your operations with our expert network. Our specialists in AI infrastructure, machine learning applications, Google and AWS AI solutions, and more are here to empower your firm. Whether you're exploring strategic implementations or overcoming technical challenges, our experts are ready to empower you! Schedule a demo today - instaxpert.us/ai #AI #ML #expertnetwork #generativeai #mlops #datamanagement #digitaltransformation #aiadoption #aiautomation #aibusiness

🌟 How Multi-Agent AI Systems Are Solving Real Problems! 🌟 In big companies, we often face a common challenge: getting quick answers from our data. Here’s the typical process: 1️⃣ You ask a question about sales, trends, or performance. 2️⃣ IT gets involved, writes a data query, and you wait a week or two. 3️⃣ When you get the answer, sometimes it’s not quite right, and the cycle starts again. This process is slow, frustrating, and eats up valuable time. But what if AI could handle this in minutes instead of weeks? 🤔 That’s where multi-agent systems come in! Instead of relying on a single AI to do everything, multi-agent systems break the task into smaller parts, with specialized AI agents working together: 👉 One agent translates your question into a query. 👉 Another checks the query for errors. 👉 A third agent fetches data from multiple sources. 👉 Finally, it’s all combined into a clear report. 💡 The result? 👉 Answers in minutes instead of weeks. 👉 Fewer errors because agents check each other’s work. 👉 Employees and IT teams can focus on more meaningful work. Microsoft’s Azure AI Agent Service is making this future a reality by helping businesses securely and easily adopt multi-agent systems. This isn’t just about saving time—it’s about empowering people to do their best work while AI handles the repetitive stuff. 🚀 https://lnkd.in/emn6RirZ #ArtificialIntelligence #AzureAI #FutureOfWork #MSIgnite

🌟𝗨𝗻𝗹𝗼𝗰𝗸 𝘁𝗵𝗲 𝗙𝘂𝗹𝗹 𝗣𝗼𝘁𝗲𝗻𝘁𝗶𝗮𝗹 𝗼𝗳 𝗔𝗜 𝘄𝗶𝘁𝗵 𝘁𝗵𝗲 𝗥𝗶𝗴𝗵𝘁 𝗧𝗲𝗰𝗵 𝗦𝘁𝗮𝗰𝗸!🌟 Did you know that building an effective AI system isn't just about the algorithm? It's about having the right tech stack to power innovation and scale intelligently. 💡 🔍 According to Gartner, a successful AI tech stack comprises: 𝗗𝗮𝘁𝗮 𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁: Reliable data pipelines to fuel your models. 𝗠𝗼𝗱𝗲𝗹 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁: Scalable frameworks to craft and optimize algorithms. 𝗜𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲: Cloud and edge solutions tailored for AI workloads. 𝗢𝗽𝗲𝗿𝗮𝘁𝗶𝗼𝗻𝘀: Seamless integration into business processes for impact. At ibute Technologies, we specialize in helping businesses in design, implement, and manage tailored AI solutions. Whether you’re exploring predictive analytics, automation, or customer personalization, our expert team ensures your stack is not just cutting-edge but also cost-effective. 🚀 Ready to turn AI into a competitive advantage? Let’s talk about how ibute can help you design your future-ready AI ecosystem. 🌐 Learn more about ibute Technologies: ibute.tech #AI #TechStack #Innovation #IbuteTech #DigitalTransformation Explore more insights: https://lnkd.in/drzuieSG