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ML and AI Model Explainability and Interpretability

Analytics Vidhya

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.

Modeling 218
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External Data Supports More Accurate Planning

David Menninger's Analyst Perspectives

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.

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5 predictions for emerging ’25 technology trends

CIO Business Intelligence

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

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7 Easy Ways to Make Passive Income with Large Language Models

KDnuggets

Looking for extra income? Here are 7 creative ways to use large language models for passive earnings!

Modeling 122
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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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How EUROGATE established a data mesh architecture using Amazon DataZone

AWS Big Data

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

IoT 91
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Exploring AI Agents in Customer Experience with Navin Dhananjaya

Analytics Vidhya

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.

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10 top priorities for CIOs in 2025

CIO Business Intelligence

As 2025 dawns, CIOs face an IT landscape that differs significantly from just a year ago. AI, once viewed as a novel innovation, is now mainstream, impacting just about facet of the enterprise. Over the next 12 months, IT leaders can look forward to even more innovations, as well as some serious challenges. To keep ahead of the curve, CIOs should continuously evaluate their business and technology strategies, adjusting them as necessary to address rapidly evolving technology, business, and econo

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How I Would Learn Python in 2025 (If I Could Start Over)

KDnuggets

Ive been programming with Python for over 6 years now. But if I could start over, heres how Id go about learning Python in 2025.

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Batch data ingestion into Amazon OpenSearch Service using AWS Glue

AWS Big Data

Organizations constantly work to process and analyze vast volumes of data to derive actionable insights. Effective data ingestion and search capabilities have become essential for use cases like log analytics, application search, and enterprise search. These use cases demand a robust pipeline that can handle high data volumes and enable efficient data exploration.

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Multimodal Financial Report Generation (from a Slide Deck) using Llamaindex

Analytics Vidhya

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.

Reporting 188
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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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There Are Gaps in the CX Toolkit Waiting to Be Filled

David Menninger's Analyst Perspectives

The breadth of customer experience (CX) solutions created by software providers in recent years has expanded into new areas, usually related or adjacent to existing, more traditional toolkits. Most providers in the space began as more-or-less pure play contact center software providers, so the CX toolset starts with that set of technologies. Products are grounded in core functions for service delivery, like interaction handling, labor management and customer tracking.

Software 130
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Fast vs. slow: the real impact of AI adoption speed

CIO Business Intelligence

There are a lot of reasons to take a slow and careful approach to generative AI. The technology is changing quickly, so investing a lot of money in the wrong platform could end up costing a lot of money. Generative AI still has accuracy and safety problems, and the copyright issues havent yet been settled in the courts, all of which could create legal liabilities or other problems.

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How to Monitor Docker Containers

KDnuggets

This guide highlights the importance of container monitoring, key metrics to track, and tools ranging from Docker's built-in commands to comprehensive systems like Prometheus and Grafana.

Metrics 109
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Simplifying Cloud Database Management with Infrastructure Automation

Smart Data Collective

Streamline your operations! Discover how infrastructure automation can simplify cloud database management for efficiency and scalability.

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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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How to Access Phi-4 Using Hugging Face?

Analytics Vidhya

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?

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Cloudera Enables Hybrid Cloud Data and AI

David Menninger's Analyst Perspectives

Too often, enterprises find that data is distributed across multiple silos on-premises and in the cloud. More than two-thirds of participants in ISGs Market Lens Cloud Study are using a hybrid architecture involving both on-premises and cloud infrastructure for analytics and artificial intelligence deployments. Unifying data to achieve operational and analytic objectives requires complex data integration and management processes.

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Companies look to sell off assets to pay for AI investments

CIO Business Intelligence

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

Sales 122
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A Gentle Introduction to Rust for Python Programmers

KDnuggets

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.

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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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Juicebox recruits Amazon OpenSearch Service for improved talent search

AWS Big Data

This post is cowritten by Ishan Gupta, Co-Founder and Chief Technology Officer, Juicebox. Juicebox is an AI-powered talent sourcing search engine, using advanced natural language models to help recruiters identify the best candidates from a vast dataset of over 800 million profiles. At the core of this functionality is Amazon OpenSearch Service , which provides the backbone for Juiceboxs powerful search infrastructure, enabling a seamless combination of traditional full-text search methods with

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Automate Blog to Twitter Thread using Gemini-2.0, LangChain, and Streamlit

Analytics Vidhya

In today’s digital landscape, content repurposing has become crucial for maximizing reach and engagement. One effective strategy is transforming long-form content like blog posts into engaging Twitter threads. However, manually creating these threads can be time-consuming and challenging. In this article, we’ll explore how to build an application to automate blog to Twitter thread creation […] The post Automate Blog to Twitter Thread using Gemini-2.0, LangChain, and Streamlit a

Strategy 182
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Delivering Enterprise and Self-service Power BI with Microsoft Fabric

Paul Turley

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.

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Stretch your AI dollar and accelerate AI adoption

CIO Business Intelligence

Given their lack of scale and resources as compared to larger enterprises, its no wonder that small to medium businesses (SMBs) weigh every decision to adopt new, emerging technologies more prudently. But this also comes without the layers of bureaucracy that plague larger enterprises. As a result, SMBs are nimbler and more responsive to change as they navigate their growth, which grants them the freedom to adopt agile practices, stay ahead of changing market trends, and drive innovation.

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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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My Top Picks: 5 Free NLP Courses I’d Recommend for 2025

KDnuggets

Want to become an NLP pro by 2025? Check out these top free courses and learn from experts whove shaped the future of language models.

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How Far We Can Go with GenAI as an Information Extraction Tool

Ontotext

Introduction In the real world, obtaining high-quality annotated data remains a challenge. Generative AI (GenAI) models, such as GPT-4, offer a promising solution, potentially reducing the dependency on labor-intensive annotation. At Graphwise, we aim to make knowledge graph construction faster and more cost-effective. Therefore we explored how GenAI could automate several stages of the graph-building pipeline.

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Gudie on Prompting with DSPy

Analytics Vidhya

DSPy, or Declarative Self-improving Language Programs, revolutionizes how developers interact with Large Language Models (LLMs). By abstracting the intricacies of prompt engineering, it enables users to develop, test, and improve their apps more effectively and dependably. This comprehensive tutorial delves deeply into DSPy, offering thorough insights to assist you in getting started and creating potent […] The post Gudie on Prompting with DSPy appeared first on Analytics Vidhya.

Testing 177
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Data Analytics Transforms Healthcare Business Management

Smart Data Collective

Big data technology can play a huge role in making better decisions in healthcare.

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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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Top diez prioridades para los CIO este 2025

CIO Business Intelligence

A medida que avanza el 2025, los CIO se enfrentan a un panorama de TI muy distinto al de hace apenas un ao. La inteligencia artificial (IA), que antes se consideraba una innovacin novedosa, ahora es algo comn y afecta a casi todos los aspectos de la empresa. En los prximos 12 meses, los lderes de TI pueden esperar an ms innovaciones, as como algunos desafos importantes.

ROI 112
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10 Essential SQL Commands for Data Analysis

KDnuggets

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.

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A Quick And Dirty Guide To Cryptocurrencies, Stablecoins, And CBDCs

Martha Bennett

What's the difference between a cryptocurrency and a stablecoin? What's a CBDC, anyway? We demystify the key terms in this blog post.

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Mastering Zero-Shot and Few-Shot Text Classification with SCIKIT-LLM

Analytics Vidhya

Analyzing customer sentiment and key themes from textual data has always been a time-intensive task, requiring data collection, manual labeling, and fine-tuning specialized models. But what if you could skip the hassle of training a model and still achieve accurate results? Enter zero-shot text classification, a groundbreaking approach powered by Large Language Models (LLMs).

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Marketing Operations in 2025: A New Framework for Success

Speaker: Mike Rizzo, Founder & CEO, MarketingOps.com and Darrell Alfonso, Director of Marketing Strategy and Operations, Indeed.com

Though rarely in the spotlight, marketing operations are the backbone of the efficiency, scalability, and alignment that define top-performing marketing teams. In this exclusive webinar led by industry visionaries Mike Rizzo and Darrell Alfonso, we’re giving marketing operations the recognition they deserve! We will dive into the 7 P Model —a powerful framework designed to assess and optimize your marketing operations function.