Nexla

In about 24 hours - Neeraj S. from Nexla is teaming up with Todd Lebo, CEO of Ascend2 Research, to dive into the hottest data trends, GenAI challenges, and insights from over 300 data leaders. This is your chance to catch the latest on data integration and elevate your data game! Date: October 17, 2024 Time: 2 PM EST / 11 AM PST Register to secure your spot: https://lnkd.in/ggBW8WWt Read the research report here: https://lnkd.in/gzQVwxnR #DataIntegration #Webinar #GenAI #DataTrends

Imagine cutting data delivery times by 85%—that’s exactly what Kargo, a digital advertising company achieved with Nexla. By connecting seamlessly to numerous publishers' data systems, Kargo can now make fast, data-informed decisions to keep ad performance on track. As Martez Cox, BI Manager at Kargo, puts it, "That makes all the difference in the world." If your business relies on quick, accurate data exchanges to stay ahead, check the comments to see how Nexla can simplify intercompany data integration and power your success. #DataIntegration #AdTech #CustomerOnboarding #PartnerOnboarding

75% of organizations are using data integration tools to power their GenAI efforts, yet many struggle with time-consuming processes and complex setups. With 87% relying on three or more tools, the challenge is clear: streamline data operations to drive faster results. Join our webinar this Thursday to discover how top companies are simplifying their data ecosystems, accelerating GenAI deployment, and boosting data quality. Featured Speakers: → Todd Lebo, CEO, Ascend2 Research → Neeraj S., Founding Member, Enterprise Sales, Nexla Date: October 17, 2024 Time: 2 PM EST / 11 AM PST Register via the link in the comments!

Are you one of the 61% of people that are worried about misinformation online? LLM hallucination—when AI generates inaccurate or irrelevant text—fuels this concern. But there's good news: by enhancing data quality and leveraging strategies like pre-processing, parameter tuning, and incorporating external databases, we can reduce these errors and improve AI reliability. Check the comments to learn more about tackling LLM hallucinations and building trustworthy AI. #LLM #GenAI #GenerativeAI #LLMHallucination

When an iconic cultural cornerstone like Lincoln Center for the Performing Arts aims to revolutionize its data strategy, they seek a solution that’s as dynamic as their performances. Lincoln Center is now seamlessly integrating key platforms like Tessitura, ArtsVision, and Freshservice with Nexla, empowering their teams to: → Enhance data flows that support both the artistic and operational sides of their organization. → Automate critical processes, giving more time to focus on bringing art to life. → Unify data across platforms, driving better insights and decisions. Welcome aboard, Lincoln Center! #DataTransformation #DataIntegration #DataOps #PerformingArts

We’re thrilled to welcome Ravi Krishnan, our new Head of Sales Engineering, to the team! Those in our San Mateo office have already had the pleasure of meeting him and experiencing his incredible expertise and energy firsthand. Ravi brings a wealth of experience and a fresh perspective to our sales engineering efforts. We can’t wait to see all the amazing things he’ll accomplish here at Nexla. Welcome aboard, Ravi! #SalesEngineering #DataIntegration #B2BSales

How did Instacart handle the data demands of a 748% increase in retail partners? It’s a massive challenge—but with Nexla, it’s also an opportunity for streamlined efficiency. With Nexla, Instacart scales their data engineering effortlessly, making complex data exchanges between companies simple and fast. As Brandon Leonardo, cofounder of Instacart, puts it: “Nexla makes sharing data between companies, in any format, very easy.” Nexla takes care of the complex data work behind the scenes so you can focus on growth. Whether you're dealing with suppliers, retail partners, or customers, Nexla does all the technical heavy lifting behind the scenes. #DataIntegration #CustomerOnboarding #PartnerOnboarding

We know it’s a classic question in data integration, but understanding the difference between ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) is essential, even if it’s Data 101. Both methods move data from source to destination, but the order of operations changes everything: → ETL: Extract, Transform, and then Load. Transformations happen before loading into the destination. This approach works well when you have specific transformation needs upfront, but it can lead to slower processing as data volumes grow. → ELT: Extract, Load, and then Transform. Raw data is loaded first, then transformed within a data warehouse. This method leverages cloud power, offering flexibility and scalability, especially as data grows. So, which is right for you? It depends on your use case and resources. ETL is great for structured, smaller datasets with well-defined transformation needs. ELT, on the other hand, shines with large volumes of data and requires flexibility for iterative analysis and model training. Choosing between ETL and ELT can shape your data workflows, impacting performance, scalability, and costs. Curious to learn about all commonly used data integration techniques? Check out the article in the comments! #ETL #ELT #DataIntegration

75% of organizations are already using data integration tools to power their GenAI initiatives — but here’s the challenge: these initiatives are time-consuming, and companies need to see results fast. With 87% of companies wrangling three or more data integration tools, this added complexity can delay implementation and hinder the impact of GenAI on driving innovation and efficiency. So, how can you streamline your data operations and get ahead of these challenges? Join us for a webinar where we unveil how top organizations are simplifying their data ecosystems, bringing GenAI into production faster, and improving data quality along the way. ?Featured Speakers: →Todd Lebo, CEO, Ascend2 Research →Neeraj S., Founding Member, Enterprise Sales, Nexla What you’ll learn: → How top data pros are solving challenges like integrating external data and streamlining complex processes. → Insights on making your data GenAI-ready and bringing GenAI apps to production. → Strategies to scale your data engineering team and meet growing integration demands with modern tools. Don’t let complexity slow down your GenAI progress.? Use the link in the comment to register now! Date: Thursday, October 17th, 2024 Time: 2 PM EST / 11 AM PST

Retrieval-Augmented Generation (RAG) is rapidly transforming how industries operate—delivering smarter, more relevant, and real-time information across a range of use cases. Here’s how it’s making an impact: ? Customer Service: RAG-powered chatbots provide instant, accurate responses by pulling real-time data, making interactions faster and more effective. ? Content Creation & Journalism: Writers are using RAG to generate context-rich, fact-checked content with up-to-date information, ensuring accuracy and relevance. ? Healthcare: Doctors access the latest clinical research in seconds, enabling faster, data-driven decisions that improve patient care. ? Education & Research: Students and researchers benefit from immediate access to current publications, making learning more efficient and insightful. ? Legal Research & Compliance: RAG helps legal teams stay on top of the latest case law and regulations, streamlining decision-making and ensuring compliance. ? E-commerce: RAG delivers personalized product recommendations by analyzing real-time customer data, driving better customer experiences. ? Financial Analysis: Financial professionals gain real-time insights into market trends and economic data, improving decision-making and forecasting. If you want to see how RAG can elevate your organization, explore our Retrieval-Augmented Generation (RAG) Tutorial & Best Practices guide for all the insights. Check the comment for the link! #AI #RAG #MachineLearning #CustomerService #Healthcare #Ecommerce #Finance #LegalTech