Fractal’s Post

A very insightful course that outlines the prerequisites of implementing a succeful AI Solution 🤖. When you have a hammer, not everything is a nail.

Thieme uses Stibo Systems master data management to unify customer data from seven systems. Watch the video to learn how the company incorporates AI tools like Chat-GPT into its master data management solution. https://lnkd.in/eNX7G42N #AI #ChatGBT

Two key take aways: many companies did not success in implementing previous AI/ML technologies and secondly it's all about the data! We can see the hype around GenAI becoming a bit less dramatic, although it still roars through all channels. But more and more early adopters start to realize that if you don't have proper data (starting with a proper data catalogue and data lineage, continuing with proper data quality and last but not least proper data integration) there is not really much point in GenAI. And secondly expectation management is again crucial. Like it was years before with data science (will miraculously solve all business problems and unlock never imaging insights of our customers) also GenAI promises tremendous savings, optimizations and never before achieved business capabilities, but in reality most organizations fail in even the first step of implementation because of the data problems mentioned above. On a technical note: indeed vector databases prove to have found now a really good use case :-) #GenAI #GPT #AI #data #dataquality #dataengineering #ML #innovation https://lnkd.in/dUYgxBNW

🚀 New Blog Post: Retrieval Augmented Generation (RAG) - Integrating Your Business Data into AI 🚀 Are you ready to take your AI capabilities beyond basic tools like ChatGPT? My latest blog post dives into Retrieval Augmented Generation (RAG) and how it can help you integrate your business’s own data—whether it’s from databases, spreadsheets, or documents—into AI models tailored to your specific needs. 💡 What you’ll learn: - How RAG can turn your AI into a specialized assistant - Practical steps for implementing RAG in your business - Tools like WatsonX and KnowNow’s Data Management Canvas to get you started AI doesn’t need to know the entire internet—just the data that matters to your business. Learn how to tailor AI for your industry and optimize its potential. 👉 Read the full article here: https://lnkd.in/eJtbQpvg #AI #ArtificialIntelligence #RAG #BusinessData #AIIntegration #WatsonX #DataManagement #AIForBusiness

A recent HBR article titled, The reasons why adopting GenAI is So Difficult https://lnkd.in/eF6c-qdu, explores the challenges businesses have in integrating AI into their operations. These are primarily 1) GenAI is complex yet geared for a specific purpose that may not be what the business needs so integration is difficult and 2) the long term costs and implications are not clear. The suggest that businesses can address these challenges by choosing to use it only for the tasks where it makes sense, learning to use new adjacent technologies such as similarity search, ensuring the human stays in the loop, putting enough monitoring in place, having realistic expectations and investing in training and education. This is exactly the focus of our conference where speakers and attendees will come together to share practical actionable insights for getting AI in Production. Early bird tickets end soon.  https://lnkd.in/gypAJhdi

Just finished the course “Implementing AI Solutions in Business” by DataCamp. #AI #artificialintelligence #artificialintelligenceforbusiness

🚀 Boost Your Data Strategy with Graph-Based RAG! 🚀 Discover the power of Graph-Based Retrieval-Augmented Generation (RAG). By combining graph databases with advanced AI models, RAG offers: - Enhanced Data Retrieval: Quickly access interconnected data. - Improved Contextual Understanding: Generate accurate, context-aware outputs. - Scalability: Handle growing datasets with ease. You can implement it with LLMs like ChatGPT, Llama and more. Examples: - Customer Support: Personalized chatbot responses. - Healthcare: Comprehensive patient reports. - Financial Services: Predictive market insights. - R&D: Chatbot responses based on your product documentation and code. Are you using it today in your organization? Share more examples 💡🔗 #DataScience #AI #MachineLearning #GraphDatabases #RAG #Innovation

(Correcting the post. Not a certificate.) It covers benefits/limitation/use cases and POC. A good start for beginners who try to implement AI solutions.

I've been working on a three-part series designed to help you figure out your organization's AI roadmap. 1. Create an AI Council 2. Create an AI Policy 3. Create an AI Use Case Once you’ve appointed your AI Council, the second step in the framework is to create an AI policy. Your AI policy, which is created by your AI Council, acts as a set of foundational guidelines, ensuring that all your AI initiatives are implemented ethically, transparently, and in alignment with your organization’s goals. Each organization’s goals are going to be different, with some looking for efficiency gains, others looking for cost savings, and still others aiming for different outcomes altogether. The important thing is that your goals are specific to your organizational needs. Additionally, each organization will use different AI tools. If you’re an enterprise creating enterprise AI solutions and workflows, your AI policy will be robust, involving significant input from your legal department and detailed decisions around data governance. For the purposes of these suggestions, though, I’m going to assume that your business isn’t using enterprise-level AI solutions like those from Moderna or PwC. Instead, you might be using a combination of LLMs like ChatGPT, Claude, or Gemini, along with third-party AI tools like Jasper.ai, MarketMuse, or Drift. You can read the rest over at Thrive Insights: https://lnkd.in/g-w6cVHc #ArtificialIntelligence #AIPolicy #BusinessStrategy

ChatGPT & RunMyJobs by Redwood Software effortlessly transforms unstructured data into structured data for use in repetitive automated processes. Save your organization time and reduce manual effort by combining the power of AI with workload automation. ✨ Learn more here: 👉 https://lnkd.in/gBE3aeHm #AI #WorkloadAutomation #Efficiency #RunMyJobsbyRedwood