Sat.Jan 11, 2025 - Fri.Jan 17, 2025

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How Data Will Reshape Industries in 2025

Dataversity

Data has become a driving force behind change and innovation in 2025, fundamentally altering how businesses operate. Across sectors, organizations are using advancements in artificial intelligence (AI), machine learning (ML), and data-sharing technologies to improve decision-making, foster collaboration, and uncover new opportunities. In the upcoming year, the focus is on making data more accessible, protecting […] The post How Data Will Reshape Industries in 2025 appeared first on DATAVER

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How to foster teamwork in remote data teams

Dataconomy

Are you struggling to make your remote data team feel like a team? The term remote literally means distant or situated far from the populationhardly the type of environment where one could envision teamwork thriving. But with remote work not going anywhere anytime soon, its up to management to find ways to encourage remote data teams to work closely together.

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How AI is fundamentally disrupting stock market analysis for everyday traders

Dataconomy

Want to know more about the revolution in stock market forecasting by Artificial Intelligence (AI)? Pattern recognition for stock price is one area in which AI excels. As an investor, if you know a chart patterns “head and shoulders” or “cup and handle”, then you have an edge. These are trend lines that tell you how a stock is going to act in the future.

AI 103
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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.

Python 335
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How to Achieve High-Accuracy Results When Using LLMs

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

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What is Data-driven vs AI-driven Practices?

Pickl AI

Summary: The article explores the differences between data driven and AI driven practices. The right approach is necessary to improve decisions and ensure your business remains competitive. Data-driven and AI-driven approaches have become key in how businesses address challenges, seize opportunities, and shape their strategic directions. Introduction Are you struggling to decide between data-driven practices and AI-driven strategies for your business?

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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.

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More Trending

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Meta AI profiles deleted after shocking user interactions go viral

Dataconomy

According to a recent The Guardian article, Meta is deleting Facebook and Instagram profiles of AI characters, after user interaction led to viral screenshots and conversations. The AI profiles were initially introduced in September 2023 and mostly removed by summer 2024. [link] Meta deletes AI profiles on Facebook and Instagram Despite the shutdown of most profiles, some characters continued to engage users until recent announcements by Meta executive Connor Hayes sparked renewed interest.

AI 172
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Implement RAG while meeting data residency requirements using AWS hybrid and edge services

Flipboard

With the general availability of Amazon Bedrock Agents , you can rapidly develop generative AI applications to run multi-step tasks across a myriad of enterprise systems and data sources. However, some geographies and regulated industries bound by data protection and privacy regulations have sought to combine generative AI services in the cloud with regulated data on premises.

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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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Delayed Fusion: Integrating Large Language Models into First-Pass Decoding in End-to-end Speech Recognition

Machine Learning Research at Apple

This paper presents an efficient decoding approach for end-to-end automatic speech recognition (E2E-ASR) with large language models (LLMs). Although shallow fusion is the most common approach to incorporate language models into E2E-ASR decoding, we face two practical problems with LLMs. (1) LLM inference is computationally costly. (2) There may be a vocabulary mismatch between the ASR model and the LLM.

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The 2nd Generation of Innovation Management: A Survival Guide

Speaker: Chris Townsend, VP of Product Marketing, Wellspring

Over the past decade, companies have embraced innovation with enthusiasm—Chief Innovation Officers have been hired, and in-house incubators, accelerators, and co-creation labs have been launched. CEOs have spoken with passion about “making everyone an innovator” and the need “to disrupt our own business.” But after years of experimentation, senior leaders are asking: Is this still just an experiment, or are we in it for the long haul?

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10 Python One-Liners That Will Change Your Coding Game

KDnuggets

A not-to-be-missed list of elegant Python solutions to perform common programming and processing tasks in a single line of code.

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The Data Engineering Grease, Guts & Gears Behind AI

Adrian Bridgwater for Forbes

Alonside data management frameworks, a holistic approach to data engineering for AI is needed along with data provenance controls and data preparation tools.

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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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Stop using ‘Sign in with Google’ for sensitive accounts ASAP

Dataconomy

New research highlights a vulnerability in Google’s “Sign in with Google” authentication method that allows unauthorized access to sensitive data by exploiting abandoned startup domains, posing a potential risk to millions of American users. New research uncovers vulnerability in Google authentication method Dylan Ayrey, co-founder and CEO of Truffle Security, revealed that Google’s OAuth login fails to protect against someone purchasing a failed startup’s domain an

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Apache Airflow® Best Practices: DAG Writing

Speaker: Tamara Fingerlin, Developer Advocate

In this new webinar, Tamara Fingerlin, Developer Advocate, will walk you through many Airflow best practices and advanced features that can help you make your pipelines more manageable, adaptive, and robust. She'll focus on how to write best-in-class Airflow DAGs using the latest Airflow features like dynamic task mapping and data-driven scheduling!

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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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Wonder Plumbers, Why Data Engineers Are The Unsung Heroes

Adrian Bridgwater for Forbes

The drive to encourage students (and anyone keen to learn) throughout the computer science industry is dominated by messaging designed to encourage people to gain cert.

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1% Sunlight, 100% Impact: Andrew Ng’s AI Climate Simulator

Analytics Vidhya

The battle against global warming has taken a significant step forward with the launch of aninnovative AI Climate Simulator, developed by Andrew Ngand a team of experts. This tool allows users to explore how geoengineering techniques, such asStratospheric Aerosol Injection (SAI), could help address the growing climate crisis. The urgency is clear:global warming is accelerating […] The post 1% Sunlight, 100% Impact: Andrew Ngs AI Climate Simulator appeared first on Analytics Vidhya.

AI 208
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Wizerr AI: Revolutionizing Electronics Design and Procurement with Databricks

databricks

Electronic products are evolving at lightning speed, driven by an insatiable demand for new consumer devices, energy, transport, robotics, connectivity, data and beyond.

AI 268
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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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AI is Getting Smarter, But It Still Can’t Do My Data Science Job.

KDnuggets

A product data scientist breaks down why AI wont replace us anytime soon.

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How BQA streamlines education quality reporting using Amazon Bedrock

AWS Machine Learning Blog

Given the value of data today, organizations across various industries are working with vast amounts of data across multiple formats. Manually reviewing and processing this information can be a challenging and time-consuming task, with a margin for potential errors. This is where intelligent document processing (IDP), coupled with the power of generative AI , emerges as a game-changing solution.

AWS 105
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How to Build Agentic RAG with SmolAgents?

Analytics Vidhya

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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Why Small Language Models Make Business Sense

Towards AI

Author(s): Paul Ferguson, Ph.D. Originally published on Towards AI. Image generated by Gemini AI Small Language Models are changing the way businesses implement AI by providing solutions that operate efficiently using standard hardware. Despite the attention given to massive AI models, these compact alternatives demonstrate that in the real world, smaller often means smarter, faster, and more cost-effective.

AI 105
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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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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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Getting Started with YOLO11

PyImageSearch

Home Table of Contents Getting Started with YOLO11 What Is YOLO11? Key Features of YOLO11 Supported Tasks Supported Modes Available Checkpoints Configuring Your Development Environment Setup and Imports How to Run Inference with YOLO11 Object Detection Instance Segmentation Image Classification Pose Estimation Oriented Object Detection Multi-Object Tracking How to Train with YOLO11 How to Validate with YOLO11 How to Export with YOLO11 Summary Key Highlights Citation Information Getting Started w

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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.

Analytics 223
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Unlocking the Advantages of Semantic Chunking to Supercharge Your RAG Models

Towards AI

Author(s): Aditya Baser Originally published on Towards AI. 1. Introduction 1.1. What is chunking, and why do we need it? The intuition behind chunking and how it helps in the retrieval of information Imagine you are searching for a specific piece of information in a vast library. If the books are arranged haphazardly some with irrelevant sections bound together and others with critical pages scattered across volumes youd spend a frustrating amount of time flipping through unrelated content.

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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.

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Exploring Multilingual LLMs with Aya Expanse

KDnuggets

Read this to understand the most advanced open source multilingual model.

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unDavos: Driving action & innovation beyond the World Economic Forum

Dataconomy

Theres no place quite like Davos during World Economic Forum weekleaders, innovators, and changemakers gather to chart the course of global progress. Yet, something even more exciting is taking shape alongside the official WEF agenda: unDavos. This independently organized platform opens doors for a broader range of voices, fueling high-impact discussions that extend well beyond the conference halls.

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Chinese Giants Faceoff: DeepSeek-V3 vs Qwen2.5

Analytics Vidhya

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.

Analytics 206
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Fine-Tuning a Pre-trained LLM for Sentiment Classification

Towards AI

Author(s): Dimitris Effrosynidis Originally published on Towards AI. Optimizing results with minimal effort This member-only story is on us. Upgrade to access all of Medium. Image by author. In a previous tutorial, Traditional vs. Generative AI for Sentiment Classification, we predicted the sentiment of product reviews from the Flipkart Customer Review dataset.

AI 105
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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

Speaker: Jay Allardyce, Deepak Vittal, Terrence Sheflin, and Mahyar Ghasemali

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.