How I Would Learn Data Science in 2025 (If I Could Start Over)
JANUARY 9, 2025
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.
Sat.Jan 04, 2025 - Fri.Jan 10, 2025
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Why “Living Intelligence” Is the Next Big Thing
JANUARY 6, 2025
AI is merely one facet of a sweeping technological change underway, and companies that fail to recognize the importance of other converging technologies risk being left behind. Two other technologies advanced sensors and biotechnology are less visible, though no less important, and have been quietly advancing. Soon, the convergence of these three technologies is going to underpin a new reality that will shape the future decisions of every leader across industries.
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New Freedoms In Bring Your Own Cloud?
Adrian Bridgwater for Forbes
JANUARY 7, 2025
Bring your own cloud is a deployment model that enables a business to host applications and data in their own cloud accounts with zero access from the cloud vendor.
Getting Started with the Data Engineer Handbook
KDnuggets
JANUARY 6, 2025
Kickstart your data engineering career with an expert guide available on GitHub.
What’s New in Apache Airflow® 3.0—And How Will It Reshape Your Data Workflows?
Speaker: Tamara Fingerlin, Developer Advocate
Apache Airflow® 3.0, the most anticipated Airflow release yet, officially launched this April. As the de facto standard for data orchestration, Airflow is trusted by over 77,000 organizations to power everything from advanced analytics to production AI and MLOps. With the 3.0 release, the top-requested features from the community were delivered, including a revamped UI for easier navigation, stronger security, and greater flexibility to run tasks anywhere at any time.
F1 Score: A Key Metric in LLM Evaluation
Data Science Dojo
JANUARY 8, 2025
Evaluating the performance of Large Language Models (LLMs) is an important and necessary step in refining it. LLMs are used in solving many different problems ranging from text classification and information extraction. Choosing the correct metrics to measure the performance of an LLM can greatly increase the effectiveness of the model. In this blog, we will explore one such crucial metric the F1 score.
Nvidia at CES: Omniverse Blueprint for Industry, Generative Physical AI, Access to Blackwells, Cosmos Model for Physical AI
insideBIGDATA
JANUARY 7, 2025
Nvidia issued its anticipated raft of news at CES this week, heres an overview of announcements for the HPC-AI sector: Mega Omniverse Blueprint for Industrial Robot Fleet Digital Twins The company said Mega is an omniverse framework for next-gen industrial AI and robot simulation through software-defined testing and optimization of factories and warehouses.
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5 Common Mistakes to Avoid When Training LLMs
Machine Learning Mastery
JANUARY 8, 2025
Introduction Training large language models (LLMs) is an involved process that requires planning, computational resources, and domain expertise. Data scientists, machine learning practitioners, and AI engineers alike can fall into common training or fine-tuning patterns that could compromise a model’s performance or scalability.
What Companies Succeeding with AI Do Differently
JANUARY 9, 2025
In 2021, researchers at MIT and McKinsey teamed up to ask more than 100 companies how they were using AI in their operations and to learn what separated the highest-performing companies from the rest. They conducted a similar survey in 2023 to see what had changed. They found that the gap between leading companies and the rest had widened; that the payback-period for AI investments was much shorter; and that leading companies were better at identifying and implementing use cases that delivered p
41% of global firms plan layoffs by 2030 due to AI
Dataconomy
JANUARY 9, 2025
According to a World Economic Forum survey, 41% of global firms plan to implement workforce reductions by 2030 as a result of advancements in artificial intelligence (AI). The survey indicates a trend toward significant workforce changes as companies look to integrate AI into their strategies between 2025 and 2030. The World Economic Forums Future of Jobs Report reveals that 77% of the surveyed companies intend to retrain and upskill their existing workforce to work alongside AI systems.
7 Agentic RAG System Architectures to Build AI Agents
Analytics Vidhya
JANUARY 7, 2025
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.
Agent Tooling: Connecting AI to Your Tools, Systems & Data
Speaker: Alex Salazar, CEO & Co-Founder @ Arcade | Nate Barbettini, Founding Engineer @ Arcade | Tony Karrer, Founder & CTO @ Aggregage
There’s a lot of noise surrounding the ability of AI agents to connect to your tools, systems and data. But building an AI application into a reliable, secure workflow agent isn’t as simple as plugging in an API. As an engineering leader, it can be challenging to make sense of this evolving landscape, but agent tooling provides such high value that it’s critical we figure out how to move forward.
Optimizing LLM Test-Time Compute Involves Solving a Meta-RL Problem
ML @ CMU
JANUARY 8, 2025
Figure 1: Training models to optimize test-time compute and learn how to discover correct responses, as opposed to the traditional learning paradigm of learning what answer to output. The major strategy to improve large language models (LLMs) thus far has been to use more and more high-quality data for supervised fine-tuning (SFT) or reinforcement learning (RL).
Build an Amazon Bedrock based digital lending solution on AWS
JANUARY 9, 2025
Digital lending is a critical business enabler for banks and financial institutions. Customers apply for a loan online after completing the know your customer (KYC) process. A typical digital lending process involves various activities, such as user onboarding (including steps to verify the user through KYC), credit verification, risk verification, credit underwriting, and loan sanctioning.
Anomaly Detection: How to Find Outliers Using the Grubbs Test
PyImageSearch
JANUARY 6, 2025
Home Table of Contents Anomaly Detection: How to Find Outliers Using the Grubbs Test What Is an Outlier? How to Find Outliers with Grubbs Test Formulating the Hypotheses Null Hypothesis Alternative Hypothesis Calculate the Test Statistic Determining the Critical Value with t-Distribution Key Characteristics of the t-Distribution Performing the Grubbs Test Left-Tailed Grubbs Test Right-Tailed Grubbs Test Two-Tailed Grubbs Test Summary Citation Information Anomaly Detection: How to Find Outliers U
Srikanth Velamakanni’s 2024 AI Predictions – Hit or Miss?
Analytics Vidhya
JANUARY 9, 2025
As we leap into 2025, AI is sprinting ahead, reshaping industries, careers, and how we live. Back in 2024, Srikanth Velamakanni, Fractal.ais co-founder, made bold AI predictions. Did they hit the mark? Let’s find out! Srikanth Velamakanni’s 2024 Predictions The first five predictions focused on Large Language Models (LLMs) and Foundation Models.
How to Modernize Manufacturing Without Losing Control
Speaker: Andrew Skoog, Founder of MachinistX & President of Hexis Representatives
Manufacturing is evolving, and the right technology can empower—not replace—your workforce. Smart automation and AI-driven software are revolutionizing decision-making, optimizing processes, and improving efficiency. But how do you implement these tools with confidence and ensure they complement human expertise rather than override it? Join industry expert Andrew Skoog as he explores how manufacturers can leverage automation to enhance operations, streamline workflows, and make smarter, data-dri
What Are Large Language Models? A Beginner’s Guide for 2025
KDnuggets
JANUARY 9, 2025
Curious about what LLMs are and want to know about them? Explore the Full Guide Right Here, Right Now!
VLC media player will use AI to provide users with subtitles
Dataconomy
JANUARY 9, 2025
VLC media player, developed by nonprofit VideoLAN, has surpassed 6 billion downloads globally and announced a forthcoming AI-powered subtitle feature at CES 2025. VLC media player hits 6 billion downloads The new functionality will automatically generate real-time subtitles and translations for any video using local, open-source AI models, ensuring that an internet connection or cloud services are not required, as demonstrated by VideoLAN at the event.
AI Has Changed Student Cheating. But Strategies to Stop It Remain Consistent.
JANUARY 7, 2025
Teachers and professors can make adjustments in how they teach that will greatly reduce incidents of student cheating with AI. It turns out, those changes arent much different than what worked to deter previous cheating methods. Thats the argument of Tricia Bertram Gallant, a longtime expert in academic integrity who is director of the Academic Integrity Office at the University of California San Diego.
Exploring Embedding Models with Vertex AI
Analytics Vidhya
JANUARY 8, 2025
Vectors are the basis for the majority of the most complex artificial intelligence applications, including semantic search or anomaly detection. In this article, we start right at the front with the basics of embeddings, moving on to understand sentence embeddings and vector representations. Well discuss simple practical approaches including mean pooling, cosine similarity and architecture […] The post Exploring Embedding Models with Vertex AI appeared first on Analytics Vidhya.
Automation, Evolved: Your New Playbook for Smarter Knowledge Work
Speaker: Frank Taliano
Documents are the backbone of enterprise operations, but they are also a common source of inefficiency. From buried insights to manual handoffs, document-based workflows can quietly stall decision-making and drain resources. For large, complex organizations, legacy systems and siloed processes create friction that AI is uniquely positioned to resolve.
Evaluate large language models for your machine translation tasks on AWS
AWS Machine Learning Blog
JANUARY 7, 2025
Large language models (LLMs) have demonstrated promising capabilities in machine translation (MT) tasks. Depending on the use case, they are able to compete with neural translation models such as Amazon Translate. LLMs particularly stand out for their natural ability to learn from the context of the input text, which allows them to pick up on cultural cues and produce more natural sounding translations.
How to Monitor Docker Containers
KDnuggets
JANUARY 10, 2025
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.
Opinion: STAT+: Why isn’t AI transforming biopharma as fast as we’d like?
JANUARY 10, 2025
The acceleration of artificial intelligence is arriving just in time for the biopharmaceutical industry. The global demand for innovative, effective treatments is growing faster than ever as the world’s largest drugmakers face intensifying regulatory, pricing, and political pressure. In this challenging environment, traditional industry processes must simply move faster.
Fine-tuning an LLM to Write Like You on OpenAI Platform vs Google AI Studio
Analytics Vidhya
JANUARY 7, 2025
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.
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?
Waymo Robotaxis Safer Than Any Human-Driven Cars — MUCH Safer
Hacker News
JANUARY 4, 2025
Swiss Re, a top reinsurer globally, has analyzed a lot of data, and it has determined that Waymo’s robotaxis are safer than human drivers, and even safer than human drivers of new cars with the latest advanced driver assistance systems (ADAS). Swiss Re has more than 500,000 liability claims and. [continued] The post Waymo Robotaxis Safer Than Any Human-Driven Cars MUCH Safer appeared first on CleanTechnica.
How to Use dataframe.map() for Element-wise Operations in Pandas
KDnuggets
JANUARY 8, 2025
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.
28 AI Marketing Tools to Save Time and Boost Performance
JANUARY 7, 2025
Artificial intelligence is transforming digital marketing by empowering us to do our best work. The right AI marketing tools will help you automate repetitive tasks, make data-driven decisions, and unblock your creativity. They ultimately let us get back to the work we find more meaningful, like strategy, creativity, innovation, and relationship-building.
Top 9 Upvoted Papers on Hugging Face
Analytics Vidhya
JANUARY 6, 2025
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.
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
Efficiently build and tune custom log anomaly detection models with Amazon SageMaker
AWS Machine Learning Blog
JANUARY 6, 2025
In this post, we walk you through the process to build an automated mechanism using Amazon SageMaker to process your log data, run training iterations over it to obtain the best-performing anomaly detection model, and register it with the Amazon SageMaker Model Registry for your customers to use it. Log-based anomaly detection involves identifying anomalous data points in log datasets for discovering execution anomalies, as well as suspicious activities.
Data Integrity for AI: What’s Old is New Again
Precisely
JANUARY 9, 2025
Artificial Intelligence (AI) is all the rage, and rightly so. By now most of us have experienced how Gen AI and the LLMs (large language models) that fuel it are primed to transform the way we create, research, collaborate, engage, and much more. Yet along with the AI hype and excitement comes very appropriate sanity-checks asking whether AI is ready for prime-time.
5 Free Courses to Master Data Wrangling with Python
KDnuggets
JANUARY 7, 2025
Do you want to learn data wrangling with Python on a budget? No worries, there are (at least) five free courses thatll provide you with solid knowledge.
Building AI Application with DeepSeek-V3
Analytics Vidhya
JANUARY 10, 2025
DeepSeek-V3, the newest model from Chinese AI firm DeepSeek, is making a big impact in the AI world. It is outperforming many top proprietary AI models and showing that open-source AI can lead the way. It helps create smart, efficient, and scalable solutions while being economical since it is free to use. In this guide, […] The post Building AI Application with DeepSeek-V3 appeared first on Analytics Vidhya.
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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