This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
Introduction In the current data-focused society, high-dimensional data vectors are now more important than ever for various uses like recommendation systems, image recognition, NLP, and anomaly detection. Efficiently searching through these vectors at scale can be difficult, especially with datasets containing millions or billions of vectors. More advanced indexing techniques are needed as traditional methods […] The post Advanced Vector Indexing Techniques for High-Dimensional Data appea
As I’ve written recently , artificial intelligence governance is a concern for many enterprises. In our recent ISG Market Lens study on generative AI, 39% of participants cited data privacy and security among the biggest inhibitors to adopting AI. Nearly a third (32%) identified performance and quality (e.g., erroneous results), and an equal amount (32%) mentioned legal risk.
Are you an aspiring data scientist or early in your data science career? If so, you know that you should use your programming, statistics, and machine learning skills—coupled with domain expertise—to use data to answer business questions. To succeed as a data scientist, therefore, becoming proficient in coding is essential. Especially for handling and analyzing.
Also known as a Cophylo Plot or Co-phylogeny Plot. A Tanglegram is a visualisation that consists of two Dendrogram trees displayed side-by-side that share the same set of leaves. Connection lines are drawn between these leaves to show the matches between the two trees. As a visualisation method, Tanglegrams are often implemented to compare and display the concordance (similarity of traits) between two datasets of hierarchical clustering.
AI adoption is reshaping sales and marketing. But is it delivering real results? We surveyed 1,000+ GTM professionals to find out. The data is clear: AI users report 47% higher productivity and an average of 12 hours saved per week. But leaders say mainstream AI tools still fall short on accuracy and business impact. Download the full report today to see how AI is being used — and where go-to-market professionals think there are gaps and opportunities.
Coding assistants have been an obvious early use case in the generative AI gold rush, but promised productivity improvements are falling short of the mark — if they exist at all. Many developers say AI coding assistants make them more productive, but a recent study set forth to measure their output and found no significant gains. Use of GitHub Copilot also introduced 41% more bugs, according to the study from Uplevel, a company providing insights from coding and collaboration data.
Analytics Solutions Should Include Key Influencer Analytics! What is Key Influencer Analytics ? Simply put, Key Influencer Analytics is an analytical technique that helps the user analyze and understand the various factors affecting an outcome, what variables impact the metric, and the ranking of those factors. Key Influencer Analytics takes the guesswork out of decisions by clearly illustrating what factors influence success of a pricing strategy, a business location choice, a marketing campaig
I’m presenting a workshop at the PASS 24 conference in Seattle, Nov 4-7! The session is titled Springboard to AI from BI: AI Skills for BI Professionals and you can read more here. I thought I’d highlight some more exciting sessions from the event. I’m looking forward to the keynote. If you are looking for a promo code, use the code STIRRUPJ24 to register and get $150 off the current price off a 3-Day ticket.
I’m presenting a workshop at the PASS 24 conference in Seattle, Nov 4-7! The session is titled Springboard to AI from BI: AI Skills for BI Professionals and you can read more here. I thought I’d highlight some more exciting sessions from the event. I’m looking forward to the keynote. If you are looking for a promo code, use the code STIRRUPJ24 to register and get $150 off the current price off a 3-Day ticket.
This blog post was guest-written by Robin Way , Founder and CEO of Corios, and Austin Barber , VP of Enterprise Sales at Corios. As enterprises face the rise of new technologies that require fast adaptation, the pressure to modernize their analytics infrastructure is mounting. Corios offers a comprehensive solution, allowing organizations to transition their data, workloads, and users from SAS into the Dataiku environment.
Introduction Tableau is a powerful and advanced visualization tool. It covers the whole visual development lifecycle. Starting with Tableau Prep Builder, you can effectively clean, transform, and source data under one roof. Tableau Desktop then presents this data to tell a story, while Tableau Server allows you to share these visuals with the intended audience. […] The post How to Integrate Google Gemini into Tableau Dashboards?
As I’ve written recently , artificial intelligence governance is a concern for many enterprises. In our recent ISG Market Lens study on generative AI, 39% of participants cited data privacy and security among the biggest inhibitors to adopting AI. Nearly a third (32%) identified performance and quality (e.g., erroneous results), and an equal amount (32%) mentioned legal risk.
Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage
When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m
As abruptly as generative AI burst on the scene, so too is the new language that’s come with it. A complete list of AI-related vocabulary would be thousands of entries long, but for the sake of urgent relevance, these are the terms heard most among CIOs, analysts, consultants, and other business executives. Agentic systems An agent is an AI model or software program capable of autonomous decisions or actions.
Large language models (LLMs) have transformed, and continue to transform, the AI and machine learning landscape, offering powerful tools to improve workflows and boost productivity for a wide array of domains. I work with LLMs a lot, and have tried out all sorts of tools that help take advantage of the models and their potential.
Introduction A few months ago, Meta released its AI model, LLaMA 3.1(405 Billion parameters), outperforming OpenAI and other models on different benchmarks. That upgrade was built upon the capabilities of LLaMA 3, introducing improved reasoning, advanced natural language understanding, increased efficiency, and expanded language support. Now, again focusing on its “we believe openness drives innovation […] The post Getting Started With Meta Llama 3.2 appeared first on Analytics Vidhya.
In today’s rapidly evolving digital landscape, enterprises across regulated industries face a critical challenge as they navigate their digital transformation journeys: effectively managing and governing data from legacy systems that are being phased out or replaced. This historical data, often containing valuable insights and subject to stringent regulatory requirements, must be preserved and made accessible to authorized users throughout the organization.
The DHS compliance audit clock is ticking on Zero Trust. Government agencies can no longer ignore or delay their Zero Trust initiatives. During this virtual panel discussion—featuring Kelly Fuller Gordon, Founder and CEO of RisX, Chris Wild, Zero Trust subject matter expert at Zermount, Inc., and Principal of Cybersecurity Practice at Eliassen Group, Trey Gannon—you’ll gain a detailed understanding of the Federal Zero Trust mandate, its requirements, milestones, and deadlines.
Perhaps the most exciting aspect of cultivating an AI strategy is choosing use cases to bring to life. This is proving true for generative AI, whose ability to create image, text, and video content from natural language prompts has organizations scrambling to capitalize on the nascent technology. To that end, you IT leaders are grappling with some critical questions as they pursue GenAI application development.
Running Python code directly in your browser is incredibly convenient, eliminating the need for Python environment setup and allowing instant code execution without dependency or hardware concerns. I am a strong advocate of using a cloud-based IDE for working with data, machine learning, and learning Python as a beginner. It helps you learn programming and.
Introduction Nvidia launched the latest Small Language Model (SLM) called Nemotron-Mini-4B-Instruct. SLM is the distilled, quantized, fine-tuned version of the larger base model. SLM is primarily developed for speed and on-device deployment.Nemotron-mini-4B is a fine-tuned version of Nvidia Minitron-4B-Base, which was a pruned and distilled version of Nemotron-4 15B.
Organizations are collecting and storing vast amounts of structured and unstructured data like reports, whitepapers, and research documents. By consolidating this information, analysts can discover and integrate data from across the organization, creating valuable data products based on a unified dataset. For many organizations, this centralized data store follows a data lake architecture.
GAP's AI-Driven QA Accelerators revolutionize software testing by automating repetitive tasks and enhancing test coverage. From generating test cases and Cypress code to AI-powered code reviews and detailed defect reports, our platform streamlines QA processes, saving time and resources. Accelerate API testing with Pytest-based cases and boost accuracy while reducing human error.
Cybersecurity and systemic risk are two sides of the same coin. As we saw recently with the CrowdStrike outage, the interconnected nature of enterprises today brings with it great risk that can have a significant negative effect on any company’s finances. Although it was not a security event, the symptoms and responses all fall into the various categories of the cybersecurity program for any company.
Sponsored Content Once again the conference brings together researchers, professionals, and educators to present and discuss advances in Data and AI across various applications within industry. The Feature Store Summit aims to combine advances in technology and new use cases for managing data for AI. Hosted by Hopsworks, this free online conference.
RAG is an abbreviation of Retrieval Augmented Generation. Let’s breakdown this term to get a clear overview of what RAG is: R -> Retrieval A -> Augmented G -> Generation So basically, the LLM that we use today is not up to the date. If I ask a question to a LLM let’s say ChatGPT, […] The post 5 Days Roadmap to Learn RAG appeared first on Analytics Vidhya.
Amazon EMR Serverless allows you to run open source big data frameworks such as Apache Spark and Apache Hive without managing clusters and servers. With EMR Serverless, you can run analytics workloads at any scale with automatic scaling that resizes resources in seconds to meet changing data volumes and processing requirements. We have launched job worker metrics in Amazon CloudWatch for EMR Serverless.
ZoomInfo customers aren’t just selling — they’re winning. Revenue teams using our Go-To-Market Intelligence platform grew pipeline by 32%, increased deal sizes by 40%, and booked 55% more meetings. Download this report to see what 11,000+ customers say about our Go-To-Market Intelligence platform and how it impacts their bottom line. The data speaks for itself!
The retail landscape has undergone massive shifts in recent years to adopt self-checkout systems. But major retailers like Walmart, Target, and Dollar General are starting to phase out self-check in some locations because they’ve contributed to higher rates of shoplifting and inventory loss. But is this the beginning of the end for self-checkouts? Some industry experts believe the pull-back is only temporary, and the future for self-checkout is bright — as soon as new technologies begin to be de
While one can argue that Europe’s cautious regulatory approach might hinder innovation and competition in AI compared to more permissive regions like the US and China, the challenge is more nuanced.
Introduction Imagine being part of a mission to Mars or guiding spacecraft through the far reaches of the solar system. At NASA, the code that powers these scientific breakthroughs and space missions isn’t just ordinary. It’s carefully chosen, tested, and implemented to ensure absolute precision. But have you ever wondered what programming languages power NASA’s […] The post 6 Programming Languages Used by NASA appeared first on Analytics Vidhya.
Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.
Microsoft will end product support and updates for Dynamics GP, its legacy enterprise resource planning (ERP) product for small and medium businesses, on September 30, 2029, the company announced on Tuesday. Security patches will continue to be provided for another 18 months, until April 30, 2031. Customers have had plenty of warnings about the product’s retirement.
NumPy is a powerful Python library, which supports many mathematical functions that can be applied to multi-dimensional arrays. In this short tutorial, you will learn how to calculate the eigenvalues and eigenvectors of an array using the linear algebra module in NumPy. Calculating the Eigenvalues and Eigenvectors in NumPy In order to explore.
Introduction Gender detection from facial images is one of the many fascinating applications of computer vision. In this project, we combine OpenCV for confront location and the Roboflow API for gender classification, making a device that identifies faces, checks them, and predicts their gender. We’ll utilize Python, particularly in Google Colab, to type in and run […] The post Mastering Gender Detection with OpenCV and Roboflow in Python appeared first on Analytics Vidhya.
We’re more than a week into Hispanic Heritage Month, which started on September 15 and continues through October 15. This month is an annual celebration in the United States that honors the contributions, culture, and achievements of Hispanic and Latinx Americans. Over the next few weeks, we’ll be gathering with fellow Clouderans to reflect on and celebrate, the achievements of the Hispanic and Latinx communities here in the U.S. and across the globe.
Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?
We organize all of the trending information in your field so you don't have to. Join 42,000+ users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
291 
Let's personalize your content