Sat.Jan 04, 2025 - Fri.Jan 10, 2025

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AI Use Cases for Field Service

David Menninger's Analyst Perspectives

Field service is an often-overlooked area of the service equation, in part because managing its operations involves tools and activities outside of normal contact center models. Field service has a communications component, which is partly handled by contact centers. However, the bulk of field service management activity has to do with organizing the work of technicians and dispatchers.

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Building a Medical Chatbot with Gemini 2.0, Flask and Vector Embedding

Analytics Vidhya

In the era of AI, chatbots have revolutionized how we interact with technology. Perhaps one of the most impactful uses is in the healthcare industry. Chatbots are able to deliver fast, accurate information, and help individuals more effectively manage their health. In this article, we’ll learn how to develop a medical chatbot using Gemini 2.0, […] The post Building a Medical Chatbot with Gemini 2.0, Flask and Vector Embedding appeared first on Analytics Vidhya.

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9 IT resolutions for 2025

CIO Business Intelligence

CIOs are an ambitious lot. Not the type to be satisfied with the status quo, they have set big goals for themselves in the upcoming year, according to countless surveys of IT execs. They want to expand their use of artificial intelligence, deliver more value from those AI investments, further boost employee productivity, drive more efficiencies, improve resiliency, expand their transformation efforts, and more.

IT 138
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What Are Large Language Models? A Beginner’s Guide for 2025

KDnuggets

Curious about what LLMs are and want to know about them? Explore the Full Guide Right Here, Right Now!

Modeling 119
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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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Build a high-performance quant research platform with Apache Iceberg

AWS Big Data

In our previous post Backtesting index rebalancing arbitrage with Amazon EMR and Apache Iceberg , we showed how to use Apache Iceberg in the context of strategy backtesting. In this post, we focus on data management implementation options such as accessing data directly in Amazon Simple Storage Service (Amazon S3), using popular data formats like Parquet, or using open table formats like Iceberg.

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7 Agentic RAG System Architectures to Build AI Agents

Analytics Vidhya

For me, 2024 has been a year when I was not just using LLMs for content generation but also understanding their internal working. In this quest to learn about LLMs, RAG and more, I discovered the potential of AI Agentsautonomous systems capable of executing tasks and making decisions with minimal human intervention. Going back to […] The post 7 Agentic RAG System Architectures to Build AI Agents appeared first on Analytics Vidhya.

Analytics 314

More Trending

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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 101
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Cost Optimized Vector Database: Introduction to Amazon OpenSearch Service quantization techniques

AWS Big Data

The rise of generative AI applications has heightened the necessity to implement semantic search and natural language search. These advanced search features help find and retrieve conceptually relevant documents from enterprise content repositories to serve as prompts for generative AI models. Raw data within various source repositories in the form of text, images, audio, video, and so on are converted, with the help of embedding models, to a standard numerical representation called vectors that

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Fine-tuning an LLM to Write Like You on OpenAI Platform vs Google AI Studio

Analytics Vidhya

Fine-tuning large language models (LLMs) is an essential technique for customizing LLMs for specific needs, such as adopting a particular writing style or focusing on a specific domain. OpenAI and Google AI Studio are two major platforms offering tools for this purpose, each with distinct features and workflows. In this article, we will examine how […] The post Fine-tuning an LLM to Write Like You on OpenAI Platform vs Google AI Studio appeared first on Analytics Vidhya.

Modeling 188
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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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Revolutionize QA: GAP's 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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Top 10 High-Paying AI Skills to Learn in 2025

KDnuggets

AI is growing fast! Learn the top skills for 2025 to stay ahead in this exciting field.

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Ingest data from Google Analytics 4 and Google Sheets to Amazon Redshift using Amazon AppFlow

AWS Big Data

Google Analytics 4 (GA4) provides valuable insights into user behavior across websites and apps. But what if you need to combine GA4 data with other sources or perform deeper analysis? Thats where Amazon Redshift and Amazon AppFlow come in. Amazon AppFlow bridges the gap between Google applications and Amazon Redshift, empowering organizations to unlock deeper insights and drive data-informed decisions.

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Elon Musk’s Grok 3: 10X Power, But Can it Beat ChatGPT?

Analytics Vidhya

Elon Musks xAI has just completed the pretraining of Grok 3, a massive upgrade over its predecessor, Grok 2, with 10 times more computational power. But is this enough to outpace rivals like OpenAI and Google DeepMind? Lets break it down. Grok 3: 10X More Compute Power Than Grok 2 Grok 3 was trained on […] The post Elon Musks Grok 3: 10X Power, But Can it Beat ChatGPT?

IT 161
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With o3 having reached AGI, OpenAI turns its sights toward superintelligence

CIO Business Intelligence

OpenAI CEO Sam Altman has reinvigorated discussion of artificial general intelligence (AGI), boldly claiming that his companys newest model has reached that milestone. In an interview with Bloomberg , he noted that OpenAIs o3, which was announced in December and is currently being safety tested, has passed the ARC-AGI challenge, the leading benchmark for AGI.

IT 132
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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 Use dataframe.map() for Element-wise Operations in Pandas

KDnuggets

Element-wise operations are a crucial part of data preprocessing in Pandas. Learn how to perform them with practical examples using the DataFrame.map() function.

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Growth of Big Data Requires Android Users to Have VPNs

Smart Data Collective

Android users should take advantage of VPNs to safeguard their data from hackers, the government and big tech.

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SmolAgents by Hugging Face: Build AI Agents in Less than 30 Lines

Analytics Vidhya

Happy New Year to the readers! As the first month of 2025 began, my curiosity to learn about AI Agents deepened, leading me to explore their vast potential and applications. Today, I have tried the SmolAgents open-source framework by Hugging Face. Let’s get started! The year 2025 is said to be the year of AI […] The post SmolAgents by Hugging Face: Build AI Agents in Less than 30 Lines appeared first on Analytics Vidhya.

Analytics 198
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CIOs are rethinking how they use public cloud services. Here’s why.

CIO Business Intelligence

Over the past few years, enterprises have strived to move as much as possible as quickly as possible to the public cloud to minimize CapEx and save money. Increasingly, however, CIOs are reviewing and rationalizing those investments. Are they truly enhancing productivity and reducing costs? In the rush to the public cloud, a lot of people didnt think about pricing, says Tracy Woo, principal analyst at Forrester.

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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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5 Tips for Structuring Your Data Science Projects

KDnuggets

Learn how to structure your data science projects to make them more organized and minimize chaos!

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Mastering Multi-Cloud with Cloudera: Strategic Data & AI Deployments Across Clouds

Cloudera

In todays dynamic digital landscape, multi-cloud strategies have become vital for organizations aiming to leverage the best of both cloud and on-premises environments. As enterprises navigate complex data-driven transformations, hybrid and multi-cloud models offer unmatched flexibility and resilience. Heres a deep dive into why and how enterprises master multi-cloud deployments to enhance their data and AI initiatives.

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Flux Handwriting Model: AI Mimicing Human Handwriting

Analytics Vidhya

I never pictured AI writing human-like text, no Im not talking about the text generation but rather image generation with human handwriting. The Flux models made it easy to infer, generate and edit images. Today, in this article, well be looking at one such model used for generating images with hand-written text. No thats not […] The post Flux Handwriting Model: AI Mimicing Human Handwriting appeared first on Analytics Vidhya.

Modeling 198
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Transformación digital en 2025: qué está de moda y qué no

CIO Business Intelligence

Algunos sostienen que la aparicin de la inteligencia artificial (IA) generativa ha hecho que la transformacin digital sea cosa del pasado.Transformacin de IAes el trmino que se utiliza para describirla. Otros sugieren que todo debera llamarse transformacin empresarial o, simplemente, transformacin. Qu terminologa debera utilizar? La que genere el mayor llamado a la accin por parte de su junta directiva, ejecutivos y empleados, porque mantener el statu quo es un camino seguro hacia la disrupcin.

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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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Getting Started with the Data Engineer Handbook

KDnuggets

Kickstart your data engineering career with an expert guide available on GitHub.

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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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Top 9 Upvoted Papers on Hugging Face

Analytics Vidhya

The field of artificial intelligence is changing rapidly. Therefore, to keep abreast of the most recent research, reviewing Papers on Hugging Face is essential. Hugging Face has created a unique space where researchers not only share their work but can also engage with the community by upvoting, commenting, and discussing with others. This platform helps […] The post Top 9 Upvoted Papers on Hugging Face appeared first on Analytics Vidhya.

Analytics 166
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Battle bots: RPA and agentic AI

CIO Business Intelligence

I was recently speaking with a client who stated, Weve been doing RPA (robotic process automation) for years. Whats the difference with agentic AI? Should I really care, or is it all part of the GenAI hype? Valid question. With the buzz around GenAI, its easy to see where this confusion and skepticism comes from. However, understanding the differences between RPA and agentic AI and how they complement each other can unlock major benefits through automation.

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

KDnuggets

Five years ago, I was a data science beginner learning the ropes. If I could start anew in 2025, here's what I would do.

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From Machine Learning to AI: Simplifying the Path to Enterprise Intelligence

Cloudera

A Name That Matches the Moment For years, Clouderas platform has helped the worlds most innovative organizations turn data into action. As the AI landscape evolves from experiments into strategic, enterprise-wide initiatives, its clear that our naming should reflect that shift. Thats why were moving from Cloudera Machine Learning to Cloudera AI. This isnt just a new label or even AI washing.

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Top 50 Data Analyst Interview Questions

Analytics Vidhya

A large number of high-level decisions and subsequent actions are based on the data analysis modern economies cannot exist without. Regardless of whether you are yet to get your first Data Analyst Interview Questions or you are keen on revising your skills in the job market, the process of learning can be rather challenging. In […] The post Top 50 Data Analyst Interview Questions appeared first on Analytics Vidhya.

Marketing 182
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What is an EPMO? Your organization’s strategy navigator

CIO Business Intelligence

An enterprise-focused PMO aligns every initiative with your organizations strategic goals, ensuring that the right projects deliver the right results at the right time. The P in PMO can stand for project, program, portfolio, or product, but those labels sometimes limit the true potential of the role. A PMOs real job, at any level in the organization, is to accelerate strategy delivery in a way that maximizes ROI, not just manage tasks and timelines.

Strategy 111
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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.