Sat.Oct 26, 2024 - Fri.Nov 01, 2024

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Webinar: DataOps For Beginners – 2024

DataKitchen

“That should take two hours, not two months. Can’t your Data & Analytics Team go any faster?” “The executives’ dashboard broke! The data’s wrong! Can I ever trust our data?” If you’ve ever heard (or had) these complaints about speed-to-insight or data reliability, you should watch our webinar, DataOps for Beginners, on demand. DataKitchen’s VP Gil Benghiat breaks down what DataOps is (spoiler: it’s not just DevOps for data) and how DataOps can take your Data & Analytics factory fro

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Why CIOs need a two-tier approach to gen AI

CIO Business Intelligence

CIOs failing to gain organizational traction with generative AI might want to rethink how they are introducing the technology — and how they are honing their AI strategies to suit. When IT leaders consider generative AI, they should create separate strategies when rolling out productivity-enhancing AI tools than when deploying business-case-driven AI solutions, according to new research from the Massachusetts Institute of Technology.

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Doing Power BI the Right Way in 2025

Paul Turley

I work with hundreds of consulting clients who go through the same cycles, having the same experiences, facing the same challenges, many making the same mistakes, and many learning some of the same lessons. The purpose of this series is to share those lessons with you. Universal Best Practices If we sum up Power BI best practices at the highest level, it is that all projects of any scale and size should adhere to the same general set of guidelines, categorically.

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Classification of MRI Scans using Radiomics and MLP

Analytics Vidhya

Tumors, which are abnormal growths that can develop on brain tissues, pose significant challenges to the Central Nervous System. To detect unusual activities in the brain, we rely on advanced medical imaging techniques like MRI and CT scans. However, accurately identifying tumors can be complex due to their diverse shapes and textures, requiring careful analysis […] The post Classification of MRI Scans using Radiomics and MLP appeared first on Analytics Vidhya.

Analytics 268
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Activating Intent Data for Sales and Marketing

Sales and marketing leaders have reached a tipping point when it comes to using intent data — and they’re not looking back. More than half of all B2B marketers are already using intent data to increase sales, and Gartner predicts this figure will grow to 70 percent. The reason is clear: intent can provide you with massive amounts of data that reveal sales opportunities earlier than ever before.

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7 Computer Vision Projects for All Levels

KDnuggets

Each project, from beginner tasks like Image Classification to advanced ones like Anomaly Detection, includes a link to the dataset and source code for easy access and implementation.

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Are enterprises ready to adopt AI at scale?

CIO Business Intelligence

Whether it’s a financial services firm looking to build a personalized virtual assistant or an insurance company in need of ML models capable of identifying potential fraud, artificial intelligence (AI) is primed to transform nearly every industry. In fact, a recent Cloudera survey found that 88% of IT leaders said their organization is currently using AI in some way.

More Trending

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Hands-On Multimodal Retrieval and Interpretability (ColQwen + Vespa)

Analytics Vidhya

Imagine trying to navigate through hundreds of pages in a dense document filled with tables, charts, and paragraphs. Finding a specific figure or analyzing a trend would be challenging enough for a human; now imagine building a system to do it. Traditional document retrieval systems often rely heavily on text extraction, losing critical context provided […] The post Hands-On Multimodal Retrieval and Interpretability (ColQwen + Vespa) appeared first on Analytics Vidhya.

Analytics 244
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How to Learn SQL the Lazy Way

KDnuggets

This is a simple guide for lazy people who want to learn SQL with minimal effort.

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AI & the enterprise: protect your data, protect your enterprise value

CIO Business Intelligence

In 2018, I wrote an article asking, “Will your company be valued by its price-to-data ratio?” The premise was that enterprises needed to secure their critical data more stringently in the wake of data hacks and emerging AI processes. I wrote, “ It may be even more important for the security team to protect and maintain the integrity of proprietary data to generate true, long-term enterprise value.

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The Increasing Importance of Open Table Formats

David Menninger's Analyst Perspectives

I previously wrote about the importance of open table formats to the evolution of data lakes into data lakehouses. The concept of the data lake was initially proposed as a single environment where data could be combined from multiple sources to be stored and processed to enable analysis by multiple users for multiple purposes. The first iteration of data lakes, based on Apache Hadoop and then object storage, fulfilled the first part of this equation, providing a relatively inexpensive way of sto

Data Lake 130
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Revolutionize QA: GAPs AI-Driven Accelerators for Smarter, Faster Testing

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.

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8 Popular Tools for RAG Applications

Analytics Vidhya

In today’s AI landscape, the ability to integrate external knowledge into models, beyond the data they were initially trained on, has become a game-changer. This advancement is driven by Retrieval Augmented Generation, in short RAG. RAG allows AI systems to dynamically access and utilize external information. Various tools have emerged to simplify both the integration […] The post 8 Popular Tools for RAG Applications appeared first on Analytics Vidhya.

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10 Useful Python One-Liners for Data Cleaning

KDnuggets

Here are some useful Python one-liners for common data cleaning tasks.

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The future of Gen AI in analytics

CIO Business Intelligence

As businesses increasingly rely on digital platforms to interact with customers, the need for advanced tools to understand and optimize these experiences has never been greater. Enter Gen AI, a transformative force reshaping digital experience analytics (DXA). Gen AI allows organizations to unlock deeper insights and act on them with unprecedented speed by automating the collection and analysis of user data.

Analytics 128
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Oracle Advances its AI-Enabled Supply Chain Management Suite

David Menninger's Analyst Perspectives

Oracle announced significant updates to its Fusion Cloud Supply Chain & Manufacturing (SCM) software at the recently held Oracle Cloud World. The application suite includes procurement, inventory management, warehouse management, order management and transportation management. SCM tasks are mostly small-scale and repetitive, yet the processes they support are far from simple.

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Optimizing The Modern Developer Experience with Coder

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.

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Guide to Lightning-fast JAX

Analytics Vidhya

Hey there, fellow Python enthusiast! Have you ever wished your NumPy code run at supersonic speed? Meet JAX! Your new best friend in your machine learning, deep learning, and numerical computing journey. Think of it as NumPy with superpowers. It can automatically handle gradients, compile your code to run fast using JIT, and even run […] The post Guide to Lightning-fast JAX appeared first on Analytics Vidhya.

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When to Go Out and When to Stay In: RAG vs. Fine-tuning

KDnuggets

This article presents a comprehensive discussion of when to choose which approach for your LLM and potential hybrid solutions.

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Why ethical AI should be important to CIOs

CIO Business Intelligence

Salima Bhimani has been encouraging the responsible and ethical use of AI for several years as Alphabet’s first chief strategist and director for inclusive and responsible technology, business, and leaders from 2017 to 2023. At Google’s parent company, she worked with moonshot companies such as Waymo, Wing, and X, to shape sustainable businesses and global impact.

Strategy 131
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Contact Center AI Gain Traction: Profitable Use Cases

David Menninger's Analyst Perspectives

With a flood of artificial intelligence-related tools now available for contact center buyers, it can be helpful to take a step back and review where buyers can expect a quick return on investment and maximum improvement in efficiency and productivity. For now, it appears that there are three broad buckets into which contact center-focused AI applications are clustered.

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15 Modern Use Cases for Enterprise Business Intelligence

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?

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Building an Earnings Report Agent with Swarm Framework

Analytics Vidhya

Imagine if you could automate the tedious task of analyzing earnings reports, extracting key insights, and making informed recommendations—all without lifting a finger. In this article, we’ll walk you through how to create a multi-agent system using OpenAI’s Swarm framework, designed to handle these exact tasks. You’ll learn how to set up and orchestrate three […] The post Building an Earnings Report Agent with Swarm Framework appeared first on Analytics Vidhya.

Reporting 217
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Model Selection and Experimentation Automation with LLMs

KDnuggets

Automate the machine learning modelling important step with LLMs.

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Patients may suffer from hallucinations of AI medical transcription tools

CIO Business Intelligence

An AI-powered transcription tool widely used in the medical field, has been found to hallucinate text, posing potential risks to patient safety, according to a recent academic study. And that tool is being used in a commercial medical transcription product that, worryingly, deletes the underlying audio from which transcriptions are generated, leaving medical staff no way to verify their accuracy, AP News reported on Saturday.

Risk 119
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Modernize your legacy databases with AWS data lakes, Part 2: Build a data lake using AWS DMS data on Apache Iceberg

AWS Big Data

This is part two of a three-part series where we show how to build a data lake on AWS using a modern data architecture. This post shows how to load data from a legacy database (SQL Server) into a transactional data lake ( Apache Iceberg ) using AWS Glue. We show how to build data pipelines using AWS Glue jobs, optimize them for both cost and performance, and implement schema evolution to automate manual tasks.

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Predicting the Future of Sales: How AI and Automation Will Revolutionize Strategies

In this exploration, we're diving into predictions about the future of sales. We're talking about a complete shake-up powered by automation and artificial intelligence (AI). These aren't just fancy tools — they're real game-changers. Automation and AI are here to redefine every interaction, making them smarter, faster, and more meaningful. From personalized customer journeys to streamlined sales processes, the goal is to make every moment count, enhancing both efficiency and connection.

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Improving AI Hallucinations: How RAG Enhances Accuracy with Real-Time Data

Analytics Vidhya

This article delves into Retrieval-Augmented Generation , an advanced AI technique that improves response accuracy by combining retrieval and generation capabilities. You’ll explore how RAG works by first retrieving relevant, up-to-date information from a knowledge base before generating responses, enabling it to provide more reliable and contextually relevant answers.

Analytics 206
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What Programming Language Should Game Developers Know?

KDnuggets

Here are some of the main computer programming/coding languages every budding game developer should take time to learn.

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Overwhelmed cybersecurity teams need autonomous solutions

CIO Business Intelligence

Today, security teams worldwide are under immense pressure. They are inundated by increasingly potent cyber threats, especially as threat actors are now leveraging AI to enhance their attack strategies. Addressing intensifying threats The modern threat landscape consists of increasingly complex and varied attacks. Today’s cybercriminals are leveraging advanced techniques to breach security perimeters – ransomware attacks are more targeted, phishing campaigns are increasingly sophisticated, and a

Strategy 126
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Improve OpenSearch Service cluster resiliency and performance with dedicated coordinator nodes

AWS Big Data

Today, we are announcing dedicated coordinator nodes for Amazon OpenSearch Service domains deployed on managed clusters. When you use Amazon OpenSearch Service to create OpenSearch domains, the data nodes serve dual roles of coordinating data-related requests like indexing requests, and search requests, and of doing the work of processing the requests – indexing documents and responding to search queries.

Metrics 101
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8 Steps to Transformation at Speed & Scale – Your Guide to Deploying StratOps

📌Is your Data & AI transformation struggling to really impact the business? Discover the game-changing StratOps approach that: Bridges the Gap : Connect your Data & AI strategy to your operating model, to ensure alignment at every level. Prioritizes Outcomes : Focuses on concrete business outcomes from day one, rather than capabilities in isolation.

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A Comprehensive Guide to YOLOv11 Object Detection

Analytics Vidhya

In today’s world of video and image analysis, detector models play a vital role in the technology. They should be ideally accurate, speedy and scalable. Their applications vary from small factory detection tasks to self-driving cars and also help in advanced image processing. The YOLO (You Only Look Once) model has purely pushed the boundaries […] The post A Comprehensive Guide to YOLOv11 Object Detection appeared first on Analytics Vidhya.

Modeling 199
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If Data is the New Oil, then Generative AI is the New Rocket Fuel

KDnuggets

In this article, the author proposes a new phrase: "If Data is the New Oil, then Generative AI is the new Rocket Fuel," to emphasize GAI's role in enhancing data's value.

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Marsh McLennan IT reorg lays foundation for gen AI

CIO Business Intelligence

One of the world’s largest risk advisors and insurance brokers launched a digital transformation five years ago to better enable its clients to navigate the political, social, and economic waves rising in the digital information age. Paul Beswick, CIO of Marsh McLennan, served as a general strategy consultant for most of his 23 years at the firm but was tapped in 2019 to relaunch the risk, insurance, and consulting services powerhouse’s global digital practice.

IT 122
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Integrate Amazon Bedrock with Amazon Redshift ML for generative AI applications

AWS Big Data

Amazon Redshift has enhanced its Redshift ML feature to support integration of large language models (LLMs). As part of these enhancements, Redshift now enables native integration with Amazon Bedrock. This integration enables you to use LLMs from simple SQL commands alongside your data in Amazon Redshift, helping you to build generative AI applications quickly.

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The Cloud Development Environment Adoption Report

Cloud Development Environments (CDEs) are changing how software teams work by moving development to the cloud. Our Cloud Development Environment Adoption Report gathers insights from 223 developers and business leaders, uncovering key trends in CDE adoption. With 66% of large organizations already using CDEs, these platforms are quickly becoming essential to modern development practices.