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The term "architecture" is more commonly used in the realm of data engineering and data warehouse project work, but the concept applies to BI and analytic reporting projects of all sizes. Like the architecture of a building, a complete Business Intelligence architecture contains the foundation and structure of your solution. Using the building analogy, a data platform can take on many forms, like a single-story cottage, a sprawling university campus or a towering skyscraper.
I recently completed the latest edition of our Business Planning Buyers Guide, which reviews and assesses the offerings of 14 providers of this software. One of the points that I look at is whether and to what extent the software provider offers out-of-the-box external data useful for forecasting, planning, analysis and evaluation. What I discovered is that the availability of this type of vital information is exceedingly slim.
Click on the TV or stream your latest newscast and there is a good chance youll hear AI mentioned in some fashion. Its clear AI remains prevalent today just as it has been for the past several years. To some consumers and businesses, alike it may appear companies are exaggerating the significance of this emerging technology. AI this, AI that The reality is that AI is here to stay and will play a massive role in the future of global technology, how consumers interact with it and the way busine
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
This post is co-written by Dr. Leonard Heilig and Meliena Zlotos from EUROGATE. For container terminal operators, data-driven decision-making and efficient data sharing are vital to optimizing operations and boosting supply chain efficiency. Internally, making data accessible and fostering cross-departmental processing through advanced analytics and data science enhances information use and decision-making, leading to better resource allocation, reduced bottlenecks, and improved operational perf
In this article, we dive into the concepts of machine learning and artificial intelligence model explainability and interpretability. We explore why understanding how models make predictions is crucial, especially as these technologies are used in critical fields like healthcare, finance, and legal systems. Through tools like LIME and SHAP, we demonstrate how to gain insights […] The post ML and AI Model Explainability and Interpretability appeared first on Analytics Vidhya.
In a global economy where innovators increasingly win big, too many enterprises are stymied by legacy application systems. As a consequence, these businesses experience increased operational costs and find it difficult to scale or integrate modern technologies. According to research from NTT DATA , 90% of organisations acknowledge that outdated infrastructure severely curtails their capacity to integrate cutting-edge technologies, including GenAI, negatively impacts their business agility, and l
In a global economy where innovators increasingly win big, too many enterprises are stymied by legacy application systems. As a consequence, these businesses experience increased operational costs and find it difficult to scale or integrate modern technologies. According to research from NTT DATA , 90% of organisations acknowledge that outdated infrastructure severely curtails their capacity to integrate cutting-edge technologies, including GenAI, negatively impacts their business agility, and l
Technology should be viewed as an enabler of program success for diversity, equity, inclusion and belonging, providing extended support that enables teams to expand their reach and ability to execute more complex business processes. AI-powered recruiting platforms, for example, help remove bias from the hiring process by analyzing job descriptions and identifying language that may unintentionally deter diverse candidates.
In this Leading with Data, we explore the transformative journey of Navin Dhananjaya, Chief Solutions Officer at Merkle, as he shares key milestones, practical applications of generative AI, and future possibilities for AI agents. Discover how AI is reshaping customer experiences and the data science landscape. You can listen to this episode of Leading with […] The post Exploring AI Agents in Customer Experience with Navin Dhananjaya appeared first on Analytics Vidhya.
With advanced technologies like AI transforming the business landscape, IT organizations are struggling to find the right talent to keep pace. The gap between emerging technological capabilities and workforce skills is widening, and traditional approaches such as hiring specialized professionals or offering occasional training are no longer sufficient as they often lack the scalability and adaptability needed for long-term success.
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.
Rust is a systems programming language that offers high performance and safety. Python programmers will find Rust's syntax familiar but with more control over memory and performance.
In many real-world applications, data is not purely textualit may include images, tables, and charts that help reinforce the narrative. A multimodal report generator allows you to incorporate both text and images into a final output, making your reports more dynamic and visually rich. This article outlines how to build such a pipeline using: The […] The post Multimodal Financial Report Generation (from a Slide Deck) using Llamaindex appeared first on Analytics Vidhya.
CIOs worried about where the money for new AI initiatives will come from may have some help on the way, with some companies apparently selling off non-core assets to pay for new AI projects. Nine of 10 CIOs surveyed by Gartner late last year expressed concerns that managing AI costs was limiting their ability to get value from AI. But some companies, particularly in the IT sector, now appear to be reevaluating their business models and will consider selling non-core lines of business and product
Savvy B2B marketers know that a great account-based marketing (ABM) strategy leads to higher ROI and sustainable growth. In this guide, we’ll cover: What makes for a successful ABM strategy? What are the key elements and capabilities of ABM that can make a real difference? How is AI changing workflows and driving functionality? This Martech Intelligence Report on Enterprise Account-Based Marketing examines the state of ABM in 2024 and what to consider when implementing ABM software.
Microsoft’s Phi-4 model is available on Hugging Face, offering developers a powerful tool for advanced text generation and reasoning tasks. In this article, well walk you through the steps to access and use Phi-4, from creating a Hugging Face account to generating outputs with the model. Well also explore key features, including its optimized performance […] The post How to Access Phi-4 Using Hugging Face?
A recent report from the Ministry of Communications and Information Technology, King Abdullah University of Science and Technology, and consultancy firm Hello Tomorrow highlights the rapid growth of deep tech startups in Saudi Arabia, with 50% of these startups focusing on AI and IoT. These sectors are emerging as key drivers of innovation and investment in the Kingdom, with over 43 high-growth startups collectively raising more than 987 USD in funding.
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.
Building an Agentic Retrieval-Augmented Generation (RAG) system with SmolAgents enables the development of AI agents capable of autonomous decision-making and task execution. SmolAgents, a minimalist library by Hugging Face, facilitates the creation of such agents in a concise and efficient manner. In this article, we will go step by step to build the Agentic RAG […] The post How to Build Agentic RAG with SmolAgents?
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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.
2024 marked a year where innovations happened at every layer of the AI stack, from revolutionary hardware advances to breakthrough applications. These advances made AI development more accessible and more powerful than ever before. Lets take a look at the developments that transformed the field over the past year.
The world of generative AI is moving at warp speed. It feels like just yesterday we were marvelling at text generation, and now we have tools creating stunning images, videos, and even acting as autonomous agents. 2024 has been a landmark year for generative AI, with several key breakthroughs – from enhanced multimodal models to […] The post 5 Generative AI Breakthroughs to Try Out in 2025 appeared first on Analytics Vidhya.
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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?
What are essential commands for data analysis in SQL? This article will answer this question by mentioning 10 SQL commands. As a bonus, well add some other SQL commands that are not that common but will certainly add flexibility to your analyses.
The world of generative AI (GenAI) has evolved immensely in the last two years and its impact can be seen across the globe. While the U.S. has led the charge with large language models (LLMs) like GPT-4o, Gemini, and Claude, France made it big with Mistral AI. But the GenAI landscape that was majorly ruled […] The post Chinese Giants Faceoff: DeepSeek-V3 vs Qwen2.5 appeared first on Analytics Vidhya.
A pesar de las muchas preocupaciones en torno a la inteligencia artificial (IA) generativa, las empresas continan explorando la tecnologa y ponindola en produccin. As lo revel una encuesta de referencia ejecutiva sobre liderazgo en IA y datos de 2025. Segnlos autores dela misma, Randy Bean y Tom Davenport, profesores de TI y gestin en Babson College, la IA generativa se est poniendo cada vez ms en produccin.
Over the last two years, there’s been a 76 percent increase in AI adoption across sales organizations. The reason for its rise? AI increases teams’ productivity by predicting and automating actions that require manual effort. In other words, the research that takes reps hours, AI can do in seconds. For sales teams, AI opens up a world of new possibilities, including automating outreach, identifying best-fit buyers, and keeping CRMs flush with fresh data.
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