Nitesh Rastogi, MBA, PMP’s Post

🚀 Unlocking the Power of AI Prompts in Customer Service and UX 🚀 AI prompts are revolutionizing customer service and user experience, much like SQL once did for data analysis. Here's how they can be leveraged and why documenting them is crucial: How AI Prompts Can Be Used: - Automating Responses: Quick, accurate answers to common queries. - Personalizing Interactions: Tailored responses based on customer needs and history. - Streamlining Processes: Automating repetitive tasks to free up human agents. Why Document AI Prompts: - Consistency and Accuracy: Ensures uniform responses across all interactions. - Knowledge Retention: Preserves valuable insights, even when staff changes occur. - Training and Improvement: Aids in refining AI models and onboarding new team members. Benefits to Customer Service and UX: - Enhanced Efficiency: Faster response times and quicker issue resolution. - Improved Satisfaction: Personalized, consistent interactions boost customer loyalty. - Scalability: Efficiently handle more inquiries without compromising quality. - Insightful Analytics: Gain valuable insights into customer behavior and preferences. - Cost Savings: Reduced operational costs through automation. “Recognize the value of these knowledge assets and treat them with respect." By documenting and centralizing AI prompts, businesses can unlock the full potential of Generative AI, ensuring accurate, consistent, and enduring insights that elevate customer service and user experience to new heights. 🌟 #AI #CustomerService #UX #GenerativeAI #KnowledgeManagement #Innovation

Folks managing troves of SQL should consider learning from the past mistakes of SWEs by adopting source control and standardized repository layouts.

🤖 Will AI replace data analysts? It's a question on the minds of many in the data industry. 📊 Our latest blog post delves into this intriguing topic, exploring the synergy between AI and data analysts. Discover how AI enhances, not replaces, the role of data professionals. Don't miss out on this insightful discussion. Read the full blog now! #AI #DataAnalysis #DataProfessionals #DataAnalytics #FutureOfWork 🚀

🚀 Exciting #AI advancements are revolutionizing industriest! 🌟 Our blog "Transforming Industries with AI: The Synergy of RAG, SQL Text Queries, and Large Language Models" dives into the transformative power of these technologies. Here are 3 key takeaways: 1️⃣ RAG Innovation: Retrieval-Augmented Generation (RAG) integrates real-time data into AI, boosting accuracy and reliability. It's powering #ChatGPT and other #GenAI apps, ensuring responses are informed and up-to-date. 📊 2️⃣ SQL Text Queries: SQL-based text-to-query techniques enable AI to interact with databases more naturally. This synergy creates a bridge between AI's conversational skills and complex data systems, unleashing new business insights. 🔍 3️⃣ LLM Flexibility: Large Language Models (LLMs) like #GPT4 are more versatile thanks to RAG. By adding context from external databases, they deliver more precise, domain-specific responses across various applications. 🧠 In a nutshell, RAG is not just a fancy prompt engineering tool; it's a gateway to next-level AI performance. The future is bright, and we are just scratching the surface of AI's potential to enhance decision-making and streamline operations. Stay tuned for more insights and breakthroughs! ✨ Embrace the AI revolution with #RockRiverResearch. Let's harness the power of AI to drive innovation and success. Follow us for more updates! #AIInnovation #BusinessTransformation #TechnologyTrends #ArtificialIntelligence #DataScience #MachineLearning #FutureOfWork #AIConsulting #StrategicInsights #AIforBusiness https://lnkd.in/eJpvFQvw

📢 𝐀𝐧𝐧𝐨𝐮𝐧𝐜𝐢𝐧𝐠 𝐭𝐡𝐞 𝐈𝐧𝐭𝐞𝐫𝐧𝐚𝐭𝐢𝐨𝐧𝐚𝐥 𝐖𝐨𝐫𝐤𝐬𝐡𝐨𝐩 𝐨𝐧 𝐃𝐚𝐭𝐚-𝐂𝐞𝐧𝐭𝐫𝐢𝐜 𝐀𝐈! 🌟 Are you passionate about Data-centric AI? Join us at the 𝐈𝐧𝐭𝐞𝐫𝐧𝐚𝐭𝐢𝐨𝐧𝐚𝐥 𝐖𝐨𝐫𝐤𝐬𝐡𝐨𝐩 𝐨𝐧 𝐃𝐚𝐭𝐚-𝐂𝐞𝐧𝐭𝐫𝐢𝐜 𝐀𝐫𝐭𝐢𝐟𝐢𝐜𝐢𝐚𝐥 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞 (𝐃𝐄𝐀𝐑𝐈𝐍𝐆), co-located with ECMLPKDD on September 13, 2024, in Vilnius, Lithuania. 🔍 𝑾𝒉𝒂𝒕 𝒊𝒔 𝑫𝒂𝒕𝒂-𝑪𝒆𝒏𝒕𝒓𝒊𝒄 𝑨𝑰? In the AI community, there are two primary approaches: 𝐌𝐨𝐝𝐞𝐥-𝐂𝐞𝐧𝐭𝐫𝐢𝐜 𝐀𝐈: 🛠️ 𝐹𝑜𝑐𝑢𝑠: Developing highly accurate models. 📊 𝐷𝑎𝑡𝑎: Considered static during the training phase. 🧠 𝑀𝑜𝑑𝑒𝑙: Models are optimized and evolve over time with techniques like algorithm design and hyperparameter optimization. ⚠️ 𝐶ℎ𝑎𝑙𝑙𝑒𝑛𝑔𝑒𝑠: - Replicating and validating results of complex (and poorly documented) algorithms is hard. - Overlooking issues related to data quality (missing values, …) may fail to produce desired results. The model-centric AI view reflects the prevalent norm of “data indifference” in the AI community, that implicitly relegates the role of data to merely fuel for model training. Indifference towards data quality can trigger a chain reaction of events, known as "data cascades," which gradually worsen and lead to unexpected and detrimental outcomes in future AI implementations. 𝐃𝐚𝐭𝐚-𝐂𝐞𝐧𝐭𝐫𝐢𝐜 𝐀𝐈: 🛠️ 𝐹𝑜𝑐𝑢𝑠: Improving the quality and preparation of data. 📊 𝐷𝑎𝑡𝑎: Considered dynamic and continuously improved. 🧠 𝑀𝑜𝑑𝑒𝑙: Emphasizes data quality to create robust models that adapt to varying datasets. 🌟 𝐵𝑒𝑛𝑒𝑓𝑖𝑡𝑠: - Better performance in practical ML applications. - Treats data improvement as a systematic engineering discipline. - Avoids "data cascades" where poor data quality leads to negative outcomes. 𝐖𝐨𝐫𝐤𝐬𝐡𝐨𝐩 𝐇𝐢𝐠𝐡𝐥𝐢𝐠𝐡𝐭𝐬: - Explore systematic techniques for improving data quality. - Discuss the shift from model-centric to data-centric AI. - Present your approaches and findings to the AI community. 📅 𝐊𝐞𝐲 𝐃𝐚𝐭𝐞: Paper Submission Deadline: June 25, 2024 (extended) 𝐉𝐨𝐢𝐧 𝐔𝐬: If you're working on Data-centric AI, we invite you to share your insights at DEARING. Let's push the boundaries of AI together! 💻 𝐖𝐨𝐫𝐤𝐬𝐡𝐨𝐩 𝐖𝐞𝐛𝐬𝐢𝐭𝐞: https://lnkd.in/dWBUhns6 Don't miss this chance to be part of the Data-centric AI revolution! 🚀 #ecmlpkdd Angela Bonifati, Veronica Guidetti, Donato Malerba, Vincenzo Pasquadibisceglie, Federica Mandreoli

🚀 Recently came across this really cool Generative BI Tool that I think you should know about! #Akkio is a GenBI that is here to revolutionize the way we work with data. 📊 And it offers a natural language interface for data cleaning, analysis, and predictions. With a simple chat-based interaction, users can access, cleanse, visualize, and build machine-learning models with tabular data. 🤖 This all-in-one tool supports various data sources, including Excel, Google Sheets, BigQuery, and Snowflake. It automatically analyzes data values, creates histograms, and even cleans and standardizes columns with a single click. 💡 Additionally, Akkio includes an automated machine learning (AutoML) engine, enabling users to build predictive models based on their data. It supports neural networks, decision trees, and even linear regression. 🏠 The potential and functionality of tools like Akkio have intrigued me to the point where I've considered building something of my own in the same domain.🌐 Source: https://lnkd.in/diKq7EEw #AI #MachineLearning #DataAnalysis #DataScience #GenBI #NaturalLanguageInterface #AutoML #BusinessIntelligence #data2dialog #openai #llms #hiring #chatGpt #generativeAI #genai #dalle #huggingface

🔥 Want to become an AI expert? Watch "𝗔𝗜 𝗯𝗲𝗵𝗶𝗻𝗱 𝘁𝗵𝗲 𝘀𝗰𝗲𝗻𝗲𝘀" 𝗽𝗼𝘄𝗲𝗿𝗲𝗱 𝗯𝘆 𝗦𝘁𝗲𝗹𝗹𝗶𝗮. ❗Watch the video to the end ... we have great news to share with you 😎 🎬 𝗦𝗲𝗮𝘀𝗼𝗻 1️⃣ “Our team of Data Scientists” 𝗘𝗽𝗶𝘀𝗼𝗱𝗲 2️⃣ "𝗧𝗛𝗘 𝗕𝗘𝗦𝗧 𝗔𝗜 𝗠𝗢𝗗𝗘𝗟 𝗙𝗢𝗥 𝗙𝗥𝗘𝗡𝗖𝗛 𝗗𝗔𝗧𝗔" starring ✨ Wenzhuo Liu, data scientist W͟h͟a͟t͟ ͟i͟s͟ ͟a͟l͟l͟ ͟a͟b͟o͟u͟t͟?͟ 🔍 𝗪𝗵𝗮𝘁 𝗮𝗿𝗲 𝗦𝗲𝗺𝗮𝗻𝘁𝗶𝗰 𝗦𝗶𝗺𝗶𝗹𝗮𝗿𝗶𝘁𝘆 𝗠𝗼𝗱𝗲𝗹𝘀? These models measure how similar two pieces of text are, focusing on the underlying concepts and ideas rather than just the words. At Stellia, we use 𝑡𝑒𝑥𝑡 𝑒𝑚𝑏𝑒𝑑𝑑𝑖𝑛𝑔 𝑚𝑜𝑑𝑒𝑙𝑠 to transform text into high-dimensional vectors and compute similarities using methods like cosine similarity. This technology is crucial in our RAG System for retrieving relevant information. 💡 𝗪𝗵𝗮𝘁 𝗶𝘀 𝘁𝗵𝗲 𝗥𝗔𝗚 𝗦𝘆𝘀𝘁𝗲𝗺? The Retrieval-Augmented Generation (RAG) system enhances the accuracy and relevance of responses from 𝑙𝑎𝑟𝑔𝑒 𝑙𝑎𝑛𝑔𝑢𝑎𝑔𝑒 𝑚𝑜𝑑𝑒𝑙𝑠 (LLMs). When you ask a question, the RAG system searches a vast database to find relevant information, ensuring precise and up-to-date answers. Text embedding models play a key role by identifying the most relevant documents through similarity scores. 🏆 𝗪𝗵𝗮𝘁 𝘀𝗲𝘁𝘀 𝗦𝘁𝗲𝗹𝗹𝗶𝗮’𝘀 𝗥𝗔𝗚 𝘀𝘆𝘀𝘁𝗲𝗺 𝗮𝗽𝗮𝗿𝘁? At Stellia, we’ve optimized our RAG system for various applications, including 𝑘𝑛𝑜𝑤𝑙𝑒𝑑𝑔𝑒 𝑔𝑟𝑎𝑝ℎ construction and 𝑒𝑥𝑒𝑟𝑐𝑖𝑠𝑒 𝑔𝑒𝑛𝑒𝑟𝑎𝑡𝑖𝑜𝑛, beyond typical question-answer systems. We’ve fine-tuned powerful open-source text embedding models on substantial datasets specific to each scenario, with a strong focus on French datasets. ✅ 𝗘𝗫𝗖𝗜𝗧𝗜𝗡𝗚 𝗡𝗘𝗪𝗦: 𝗪𝗲 𝗮𝗿𝗲 𝗽𝗿𝗼𝘂𝗱 𝘁𝗼 𝘀𝗵𝗮𝗿𝗲 𝘄𝗶𝘁𝗵 𝘆𝗼𝘂 𝘁𝗵𝗮𝘁 𝗼𝘂𝗿 𝗺𝗼𝗱𝗲𝗹𝘀 𝗲𝘅𝗰𝗲𝗹 𝗶𝗻 𝘂𝗻𝗱𝗲𝗿𝘀𝘁𝗮𝗻𝗱𝗶𝗻𝗴 𝗮𝗻𝗱 𝗽𝗿𝗼𝗰𝗲𝘀𝘀𝗶𝗻𝗴 𝗙𝗿𝗲𝗻𝗰𝗵, 𝗮𝗰𝗵𝗶𝗲𝘃𝗶𝗻𝗴 𝘁𝗼𝗽 𝗿𝗮𝗻𝗸𝗶𝗻𝗴𝘀 𝗶𝗻 𝘁𝗵𝗲 𝗠𝗧𝗘𝗕 𝗙𝗿𝗲𝗻𝗰𝗵 𝗯𝗲𝗻𝗰𝗵𝗺𝗮𝗿𝗸, 𝗼𝘂𝘁𝗽𝗲𝗿𝗳𝗼𝗿𝗺𝗶𝗻𝗴 𝗼𝘁𝗵𝗲𝗿 𝗼𝗽𝗲𝗻-𝘀𝗼𝘂𝗿𝗰𝗲 𝗺𝗼𝗱𝗲𝗹𝘀. 🔜 𝑆𝑡𝑎𝑦 𝑡𝑢𝑛𝑒𝑑 𝑓𝑜𝑟 𝑓𝑢𝑡𝑢𝑟𝑒 𝑖𝑛𝑡𝑒𝑟𝑣𝑖𝑒𝑤𝑠 𝑤𝑖𝑡ℎ 𝑜𝑢𝑟 𝑖𝑛𝑐𝑟𝑒𝑑𝑖𝑏𝑙𝑒 𝑡𝑒𝑎𝑚 𝑜𝑓 𝐷𝑎𝑡𝑎 𝑆𝑐𝑖𝑒𝑛𝑡𝑖𝑠𝑡𝑠. 🔗 https://lnkd.in/g58e-d-h SATT PARIS SACLAY INNOVACOM INCO EdTech France École Polytechnique Inria Camille Wong Christophe Auffray Guillaume Avrin #chatbot #ArtificialIntelligence #ConversationalAI #GenAI #FutureOfWork #AIChatbot #AI #AIAct #LLM #IA

Use cases for #generativeAI and other #artificialintelligence technologies have captured the collective imagination of #businessleaders and #decisionmakers across every industry. Alan Jacobson, chief data and analytics officer at Alteryx, explores the #techskills required for future success as an #AI #promptengineer — also referred to as an '#AIwhisperer'. https://lnkd.in/eM4BrNQJ

“Data is the new oil”, but without refined analysis and interpretation processes that extract information from it, it loses its potential richness. There are various tools, much more efficient than generative AI, that could be used to extract information from data. Read this article of Luigi Bidoia, Co-founder of PricePedia, to learn more: https://lnkd.in/e_wHmWfD? If you want to stay always update on commodities prices and trend subscribe to free PricePedia newsletter: http://bit.ly/3tUt0Bu #procurement #prices #commodities #pricepedia

📣 New in MEAP! 📣 Data Analysis with AI and R, by Ulrich Matter. 📚 Become a more productive—and a more valuable—R data professional! Our latest MEAP release - Data Analysis with AI and R - demonstrates how to enhance your R code and #DataAnalytics workflows using #LargeLanguageModels (#LLMs) and #GenAI. The book introduces potent #AI techniques that can enhance your speed and precision in writing #Rstats programs and aid in the creation of effective #DataAnalysis pipelines. 🚀 Take action now! Save 50% with code limatter50 at https://mng.bz/6YOD 📖 Get into the book: https://mng.bz/QVYw 📹 Check out this video to find out: https://mng.bz/4pqa #ManningBooks #LearnwithManning