Nimble

There's a pivotal shift happening in AI: agentic workflows By leveraging iterative processes, agentic workflows vastly improve AI applications' efficiency and performance. This approach goes beyond theory; practical applications in coding and video transcription are already proving its worth. Imagine writing code that automatically corrects itself—it's not just faster, it's smarter. Andrew Ng's examples shared at the recent Snowflake Summit Summit make it clear that AI's role in data and technology is only getting started. Ng also mentions open-source contributions, emphasizing their crucial role in advancing AI. Open-source fosters collaboration and speeds up innovation, making sophisticated AI accessible to more developers. This is where Nimble steps in. Our APIs are designed for flexibility and power, allowing developers to harness the full potential of AI and external data collection.

Breaking Down AI Overviews: Pizza Style 🍕🤖 Let's talk about the systems behind AIO, but let’s keep it as simple as pizza: 🍞 The Crust (Programming Languages) Essential, like a good crust. We’re talking SQL, Scala, Python, Java. Without them, everything else falls apart. 🍅 The Sauce (Databases) Every sauce adds a different character, right? Same with databases. MySQL might be your classic tomato, while MongoDB adds that exotic pesto vibe. 🧀 The Cheese (Processing) What’s pizza without cheese? In the AI kitchen, whether it’s batch or streaming, it’s about getting that smooth data flow, just like a perfect cheese pull. 🔥 The Oven (Cloud Computing) AWS, Azure, GCP. Think of these as your oven options. You need the right heat to bake your data just right. 👨🍳👩🍳 The Taste Testers (Monitoring) Ever had a bad pizza? That’s what we avoid in AI with tools like Datadog and Dynatrace keeping an eye on things. So there you have it, AIO systems in pizza terms. Simple enough? Or would you add a missing ingredient?

🚀 Elevate Your Business Intelligence! 📊 Unlock essential data points for business optimization with real-time insights from search engine results pages (SERPs). Why are these data points crucial? - Discover what's trending. - Monitor competitor activities. - Gauge consumer reactions to products and services. You need an efficient way to access and structure this data from various search engines. Nimble's SERP API makes it effortless to gather public data from any search engine: - Fully automated, zero manual work - NLP-based algorithms for parsing web data with computer vision Collect data from: - Organic results - Paid ads - Online videos - Knowledge Graphs - Pagination - Related searches Propel your business forward with actionable insights! #DevOps #WebScraping #ArtificialIntelligence #Technology Stream data from any major search engine with Nimble's SERP Scraping API and boost your data collection capabilities. ➡️https://lnkd.in/diAETN6s

When Should You Implement RAG vs. Function Calling You don't want a chatbot that just regurgitates pre-learned answers. It should dynamically source the latest data from internal databases or live feeds. Simple truth: LLMs are powerful, but far from perfect. They excel in generating human-like text... but falter when faced with the need for up-to-date, specific information. What allows LLMs to access external data in real-time? —𝗥𝗔𝗚 systematically segments and indexes large datasets, allowing the model to fetch relevant information as needed. Think of an AI that instantly sources relevant data to address complex inquiries. —𝗙𝘂𝗻𝗰𝘁𝗶𝗼𝗻 𝗖𝗮𝗹𝗹𝗶𝗻𝗴 empowers LLMs to execute specific functions during their operation, such as database queries or API calls. It allows AI to interact dynamically with various systems, making it a proactive tool in business processes. RAG provides depth of knowledge. Function calling delivers timely precision. Imagine a customer service AI that can pull up detailed product specs using RAG and then check current inventory with function calling. The result is faster, more accurate customer service that feels both informed and immediate. At Nimble , we’re all about making these kinds of powerful, data-driven interactions effortless. To empower businesses by providing them with seamless access to the right external datasets. So that every decision, every customer interaction, and every strategic move is backed by the most accurate and timely information available. Let's keep pushing the boundaries of what AI can do!

Data analytics costs should represent 2-6% of your expenses. This includes costs for tools, salaries, and services. Does your organization align with this benchmark? Imagine your company generates revenue of approximately $2M annually. You'd be looking at almost $100K every year just for data analytics. It might seem like a hefty slice of your budget. Well here's the kicker: Most companies with this range barely have the required data analytics When budgeting for data analytics, break down your costs into a few key areas: People >> salaries, training, and maybe some consultant fees. Tools >> software licenses and any custom tweaks you might need. Services >> external agencies or ongoing support. Infrastructure >> where and how you store and secure your data. Keep it simple. Know what each part costs. Make sure you're not overspending in one area while neglecting another. That's how you keep your data analytics sharp and cost-effective. How much is your company spending a year on BI/Analytics? Answer the poll below and let's compare notes. 👇

Wallet feeling light? Find out which UK supermarket is keeping it that way (and which isn't)! This week, we explored how supermarkets like Aldi, Lidl, and Asda position themselves in the pricing spectrum. 𝗛𝗲𝗿𝗲'𝘀 𝗵𝗼𝘄 𝘄𝗲 𝗱𝗶𝗱 𝗶𝘁. 👇 We analyzed prices across eleven key categories: - Baby & Toddler - Bakery - Chilled Food - Drinks - Food Cupboard - Fresh Food - Frozen Food - Health & Beauty - Household - Pet - Wine boxes Using public data and Nimble's tech, we tracked pricing trends in real-time. We examined over 200 products, from essentials to specialty items. 𝗪𝗵𝗮𝘁 𝗱𝗶𝗱 𝘄𝗲 𝗳𝗶𝗻𝗱 𝗼𝘂𝘁? Aldi consistently emerges as the most affordable option for basic groceries, setting a benchmark for value. On the other hand, Waitrose tends to cater to a different market segment, often pricing significantly higher. 𝗪𝗵𝘆 𝗱𝗼𝗲𝘀 𝘁𝗵𝗶𝘀 𝗺𝗮𝘁𝘁𝗲𝗿? Shoppers get a roadmap to the best deals. Retailers can use these insights to sharpen their pricing strategies and align with consumer expectations. Turn complex data into clear insights. Our WEB API helps businesses and consumers make smarter decisions. Stay competitive with Nimble . #RetailAnalytics #UKRetailMarket #SmartShopping #DataDriven

Data environments are complex. Traditional data quality monitoring isn't enough. Use 𝗗𝗮𝘁𝗮 𝗦𝘁𝗮𝗰𝗸 𝗢𝗯𝘀𝗲𝗿𝘃𝗮𝗯𝗶𝗹𝗶𝘁𝘆. 👈 Every modern data consumer needs observability. Whether you are... - A 𝗗𝗮𝘁𝗮 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿 managing pipelines and infrastructure, - A 𝗕𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗔𝗻𝗮𝗹𝘆𝘀𝘁 relying on accurate, timely data for decision-making, - Or a 𝗖𝗜𝗢 overseeing the strategic implementation of technology across your organization. You want a comprehensive view of data health across the entire pipeline. And you need to build it on three core pillars: 1️ Metrics Think of this as your data’s vital signs. Is it healthy? Sick? Somewhere in between? 2️ Metadata This is data about your data. It sounds redundant, but it’s critical for keeping things transparent. 3️ Lineage This shows where your data’s been and all the stops it’s made along the way. Handy for figuring out where things might have gone wrong. The reliability of data impacts decision-making across levels. So use Data Stack Observability to transition from reactive troubleshooting to proactive data management. #DataManagement #DataObservability #BigData #BusinessIntelligence 𝗚𝗮𝘁𝗵𝗲𝗿𝗶𝗻𝗴 𝘄𝗲𝗯 𝗱𝗮𝘁𝗮 𝗱𝗼𝗲𝘀𝗻’𝘁 𝗻𝗲𝗲𝗱 𝘁𝗼 𝗯𝗲 𝗵𝗮𝗿𝗱. Nimble 's AI-powered web data access solutions have won the trust of leading data teams at Uber, Pinterest, Discord and more. ➡️ https://lnkd.in/dqQxpDyK

8 in 10 business leaders believe generative AI will lower business costs and increase revenue 𝗕𝗨𝗧 51% of employees say it lacks the information needed to be useful. What's really happening? 𝗔𝗜 𝗵𝗮𝘀 𝗮 𝗱𝗮𝘁𝗮 𝗽𝗿𝗼𝗯𝗹𝗲𝗺. A recent Salesforce survey found several key findings: 🔷 56% of AI users struggle to achieve the desired results with AI. 🔷 62% would distrust AI if the data were outdated or publicly sourced. 🔷 71% are concerned about the accuracy of AI outputs. This reveals a critical gap in the application of AI within businesses. The potential of AI is contingent not just on technological enhancements but fundamentally on the reliability of underlying data. Without high-quality data, even advanced AI systems may fail to achieve their potential. “The future of enterprise AI isn’t about more data – it’s about the right data. When AI is grounded in a company’s own data, it delivers more useful results and ultimately drives greater trust and adoption.” – Wendy Batchelder, SVP, Chief Data Officer Nimble 's AI-powered web data access solutions have won the trust of leading data teams at Uber, Pinterest, Discord and more. 𝗗𝗼𝗻’𝘁 𝗹𝗲𝘁 𝗔𝗜’𝘀 𝗽𝗼𝘁𝗲𝗻𝘁𝗶𝗮𝗹 𝗴𝗼 𝘂𝗻𝗿𝗲𝗮𝗹𝗶𝘇𝗲𝗱. Address the data problem now. ➡️ https://lnkd.in/dmHUKViG

Fact: 𝟵𝟮.𝟵𝟲% 𝗼𝗳 𝗴𝗹𝗼𝗯𝗮𝗹 𝘁𝗿𝗮𝗳𝗳𝗶𝗰 𝗰𝗼𝗺𝗲𝘀 𝗳𝗿𝗼𝗺 𝗚𝗼𝗼𝗴𝗹𝗲.  That’s where your customers are, so you’ve got to be there too. But getting your store to rank high isn’t a walk in the park. You need to... ▶️ Keep tabs on your rankings for all kinds of keywords, all the time. ▶️ Always be on the lookout for new keywords that could pull in shoppers. ▶️ Watch what your competitors are up to with their SEO and SEM. No shame in learning from the competition. ▶️ Get notifications about new ads and keywords to stay ahead. ▶️ Optimize your search engine marketing to target the most relevant searches. ▶️ Scoop up all the product data you can from across the web. ▶️ Dig into info about people and companies. It’s all useful. Bottom line? 𝗦𝗼𝗹𝗶𝗱 𝗦𝗘𝗢 𝘀𝘁𝗿𝗮𝘁𝗲𝗴𝗶𝗲𝘀 𝗯𝗮𝗰𝗸𝗲𝗱 𝗯𝘆 𝗿𝗲𝗹𝗶𝗮𝗯𝗹𝗲 𝗱𝗮𝘁𝗮. That’s how you’ll get seen, and more importantly, that’s how you’ll sell. But how do you get that data? 👉 𝗦𝗘𝗥𝗣 𝗔𝗣𝗜 Nimble's SERP API can make a lot of this easier. Use it to instantly start or expand data collection from search engines. 🔸 Gather updated SERP listings for search terms in real-time 🔸 Flexible delivery methods including multiple Cloud storage providers 🔸 Batch processing of up to 1,000 URLs in a single request 🔸 AI-powered parsing for granular data extraction 🔸 Built-in AI-optimized proxies thanks to native integration with Nimble IP - our premium IP network. Check it out if you want to seriously up your SEO game. ➡️ https://lnkd.in/dzFV_mpA #SEO #SERP #technology #data #artificialintelligence

Data is essential. Good APIs make data collection easier. Here's how we're designing APIs that data teams love to use. 👇 It boils down to a practical and no-frills attitude towards API design. Promoting functionality and user satisfaction. Not just for us... But for everyone who uses our tech. How? By sticking to a few key principles. 𝟭. 𝗨𝗻𝗱𝗲𝗿𝘀𝘁𝗮𝗻𝗱 𝗡𝗲𝗲𝗱𝘀 We look into what data teams actually need. Not just taking requests at face value, but understanding the problems they're trying to solve. 𝟮. 𝗙𝗼𝗰𝘂𝘀 Our APIs have a single purpose. This keeps them powerful and easy to use. No clutter, no confusion. 𝟯. 𝗕𝗲 𝗖𝗹𝗲𝗮𝗿 From naming to documentation, we make sure everything is straightforward and predictable. This makes our APIs better. It makes your job easier. 𝗧𝗵𝗮𝘁'𝘀 𝗲𝘅𝗮𝗰𝘁𝗹𝘆 𝗼𝘂𝗿 𝗴𝗼𝗮𝗹. 👉 A secure, scalable, and user-friendly Web API. Stream public web data from any source. Scalable with batch processing. Secured by built-in proxies with AI Fingerprinting. Simply send an API call with the URL you’d like to gather... Leave the heavy lifting to us. ➡️ https://lnkd.in/e4n9iT5e #webscraping #artificialintelligence #innovation #data