Nylas’ Post

🚀 Exciting Developments at Mengalo: Advanced AI Systems in Action! 🚀 I’m thrilled to share some of the latest advancements we’ve made at Mengalo, where our AI-driven systems are revolutionizing customer service. Here’s a deep dive into two key systems that are making waves: Purolator API Integration: Our intelligent email assistant has taken a massive leap forward with the integration of the Purolator API. This feature allows the assistant to handle package tracking queries with remarkable efficiency. Here’s how it works: Function Calling Tool: The email assistant leverages a sophisticated function-calling tool to interact with the Purolator API. When a customer provides their tracking PIN, the assistant calls the PurolatorTracker function to fetch real-time tracking information. Seamless Response Generation: The retrieved data is then parsed and integrated into a coherent response, automatically sent back to the customer. This automation not only speeds up response times but also ensures accuracy and consistency in the information provided. Advanced Integration: The integration process involved setting up secure API connections, handling authentication, and ensuring robust error handling. We’ve implemented retries and fallback mechanisms to maintain service reliability even if the Purolator API experiences downtime. Thread_ID Ecosystem: To enhance the contextual awareness of our email assistant, we’ve developed a Thread_ID ecosystem. This system ensures that conversations maintain context over an extended period, greatly improving customer interaction quality. Here’s the technical breakdown: Database Fetching: The email assistant fetches the Thread_ID from our PostgreSQL database, ensuring that each customer’s email thread is tracked and maintained for up to 60 days. Contextual Continuity: By maintaining a continuous thread context, the assistant can provide more relevant and personalized responses, taking into account the history of interactions with the customer. Optimized Storage: Our PostgreSQL tables are designed for efficient data retrieval and storage, using indexing and optimized queries to handle large volumes of data without compromising performance. These advancements are just the tip of the iceberg. Our systems are continually evolving, and I’m excited about the potential they hold for transforming customer service. Considering a YouTube Channel!! I’m also contemplating starting a YouTube channel to discuss these topics in more depth. I’d love to share insights, technical details, and the journey of building these AI systems. Stay tuned for more updates! Feel free to connect if you’re interested in learning more or discussing potential collaborations. Let’s continue to push the boundaries of what AI can achieve! #AI #CustomerService #MachineLearning #PostgreSQL #APIs #TechInnovation #ArtificialIntelligence #OpenAI #DigitalTransformation #TechCommunity #YouTubeChannel

In the business of big data and AI, understanding the role and necessity of metadata is crucial. While tools like ChatGPT are revolutionising the way we interact with data, they are not a substitute for robust metadata management. 👉 https://zurl.co/kA3x #IIB #Metadata

Forrester says that the primary factor limiting generative AI adoption is your own data quality. “The old adage 'garbage in, garbage out' is even more true for genAI.” This look at how #GenAI strains data governance requirements can help you prepare:

In addition to data quality, your AI approach to working with LLMs really matters. Hybrid AI offers a flexible approach by using multiple techniques and is LLM agnostic. This best-of approach is fit for the data, the project, overall cost targets and your goals for responsible AI that holds up to the latest regulations. 👉 Learn more about our Hybrid AI approach for #insurance processes: ELMI.  https://lnkd.in/eJf4MGMf

Embracing AI: The Next Phase of Digital Transformation Are you prepared for the AI revolution that’s transforming the business landscape? The digital transformation era has set the stage for the next big wave: the AI revolution. As businesses continue to evolve, leveraging AI and advanced data capabilities is now crucial for maintaining a competitive edge. The journey from digital transformation to the AI revolution has seen businesses become data-centric entities. With the explosion of data, companies have transitioned to modern data stacks, allowing for extensive data storage and analysis. AI technologies, particularly those like OpenAI's ChatGPT, are revolutionizing operations by providing unprecedented insights and efficiencies. To thrive, businesses must invest in scalable data infrastructure, versatile and secure data management systems, and a skilled workforce adept in AI and data analytics. As organizations harness the power of AI, they can achieve new levels of efficiency, innovation, and customer satisfaction, positioning themselves at the forefront of their industries. How is your organization adapting to the AI revolution? What steps are you taking to ensure your data infrastructure is ready? Learn more in this fascinating article: https://ow.ly/1XsP50SwcgL #AIRevolution #DigitalTransformation #DataDriven #BusinessInnovation #ERP #Acumatica #TechStrategy

#AI in retail is on the rise! In fact, our recent survey found 40% of B2C retailers are increasing their AI search investments! Check out interesting commentary from our Chief Ecosystem Officer, Piyush Patel and other industry leaders in InsideBIGDATA's "Heard on the Street" column:

I recently wrote an article exploring how businesses can leverage 𝗥𝗲𝘁𝗿𝗶𝗲𝘃𝗮𝗹-𝗔𝘂𝗴𝗺𝗲𝗻𝘁𝗲𝗱 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝗼𝗻 (RAG) for more effective AI solutions. RAG allows 𝗟𝗟𝗠 𝗺𝗼𝗱𝗲𝗹𝘀 like ChatGPT to use external data sources in real-time, enhancing accuracy, reducing errors, and optimizing costs. In the article, I discuss a new approach, "𝗟𝗮𝘆𝗲𝗿𝗲𝗱 𝗥𝗔𝗚," which could be a game-changer for companies working with structured data. Curious about how this can benefit your business? Check out the full article! https://lnkd.in/gqt6mzSe

According to Forrester, consistent high-quality data is one of the most important things for AI models. Clean, trusted, in-sync data opens up possibilities across the business from using Ai/ML models to real-time dynamic customer experiences. However, it needs to be holistic and pervasive. This aligns with our thesis at Syncari, a single "clean" source of truth is antithetical to good business practices as it often comes at the cost of every other system being "untrue". Syncari customers are embracing a "Distributed Truth" approach. Through this approach, everything starts and ends with clean in-sync data. This unique approach democratizes and distributes access to accurate 360 data everywhere. Once pervasive, clean, trusted, in-sync data opens up possibilities across the business from using Ai/ML models to real-time dynamic customer experiences. Of course, these solutions can be delivered white glove by best-in-class system integrators like Connor Group, Dispatch Integration Ltd, Amplifi, Helix CXM, Aptitude 8, LYSI, Cognizant, and many more. 😄 #DistributedTruth #AI #Dataquality

Good AI outlook here.

Are you tired of generic chatbots and security concerns with public LLMs? Dataiku Answers empowers data teams to build secure, custom chatbots using Generative AI. Here's what makes Dataiku Answers stand out: ● Enterprise-Grade Security: Integrate your preferred LLM provider and connect to proprietary data for secure, reliable answers. ● Tailored for Every Department: Build domain-specific chatbots for sales, investor relations, and more. ● Powered by Retrieval-Augmented Generation (RAG): Answers are accurate and relevant to your organization's unique needs. ● Easy to Deploy & Manage: Build RAG pipelines in a matter of weeks and maintain complete control over usage and costs. #GenerativeAI #ConversationalAI #Dataiku #EnterpriseAI