January, 2025

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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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Why “Living Intelligence” Is the Next Big Thing

Flipboard

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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Anomaly Detection: How to Find Outliers Using the Grubbs Test

PyImageSearch

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

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Debugging in the Age of AI-Generated Code

Towards AI

Author(s): Diop Papa Makhtar Originally published on Towards AI. a Developer coding with his laptop In the fast-evolving world of software development, the landscape is shifting dramatically. The rise of AI-generated code is heralding a new era of productivity and innovation. Tools like GitHub Copilot and OpenAIs Codex promise to speed up development cycles, reduce boilerplate coding, and democratize programming by lowering entry barriers.

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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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Data Integrity for AI: What’s Old is New Again

Precisely

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.

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$200M HPC Data Center for AI in Wisconsin Launched by DPO and Billerud

insideBIGDATA

NEW YORK,Jan. 23, 2025 — Digital Power Optimization, Inc. (“DPO”), a developer and operator of power-dense data centers, today announced it has secured land and a power supply to develop a $200 millionhigh-performance computing facility inWisconsin Rapids, WI. This project will enable up to 20 megawatts of AI computing.

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F1 Score: A Key Metric in LLM Evaluation

Data Science Dojo

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.

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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!

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DeepSeek R1 on Databricks

databricks

Deepseek-R1 is a state-of-the-art open model that, for the first time, introduces the reasoning capability to the open source community. In particular, the.

AI 325
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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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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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Nvidia at CES: Omniverse Blueprint for Industry, Generative Physical AI, Access to Blackwells, Cosmos Model for Physical AI

insideBIGDATA

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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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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Understanding RAG Part IV: RAGAs & Other Evaluation Frameworks

Machine Learning Mastery

Be sure to check out the previous articles in this series: Understanding RAG Part I: Why It’s Needed Understanding RAG Part II: How Classic RAG Works Understanding RAG Part III: Fusion Retrieval and Reranking Retrieval augmented generation (RAG) has played a pivotal role in expanding the limits and overcoming many limitations of standalone large language […]

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Don’t Manage Your Python Environments, Just Use Docker Containers

KDnuggets

Python environment management can sometimes give you that awful feeling in the pit of your stomach. So don't do it: just use Docker containers.

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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 HP is optimizing the 3D Printing supply chain using Delta Sharing

databricks

Javier Lagares is a Principal Data Engineer at HP, where he leads the development of data-driven solutions for the 3D printing business. With.

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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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Bluwhale Secures $100M for Web3 Layer across L1 and L2 Blockchains 

insideBIGDATA

SAN FRANCISCO Jan. 28, 2025Bluwhale, an AI Web3 start-up, today announces that it has topped its funding to $100 million. This includes its Seed/Series A round as well as a $75 million token purchase commitment, grants, and node sale proceeds.

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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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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 Common Mistakes to Avoid When Training LLMs

Machine Learning Mastery

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.

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The Role of AI in Shaping the Future of Work

KDnuggets

Rather than fearing AI, we should see it as a tool that complements human skills, helping professionals focus on high-value work and enhancing job roles.

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Databricks on Databricks - Transforming the Sales Experience using GenAI Agents

databricks

At Databricks, our automation vision is to automate all aspects of the business, making it better, faster, and cheaper. For the sales teams.

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New Freedoms In Bring Your Own Cloud?

Adrian Bridgwater for Forbes

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.

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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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Knowledge Distillation: Making AI Models Smaller, Faster & Smarter

Data Science Dojo

Artificial intelligence (AI) has transformed industries, but its large and complex models often require significant computational resources. Traditionally, AI models have relied on cloud-based infrastructure, but this approach often comes with challenges such as latency, privacy concerns, and reliance on a stable internet connection. Enter Edge AI, a revolutionary shift that brings AI computations directly to devices like smartphones, IoT gadgets, and embedded systems.

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What is Beam Search in NLP Decoding?

Analytics Vidhya

Beam search is a powerful decoding algorithm extensively used in natural language processing (NLP) and machine learning. It is especially important in sequence generation tasks such as text generation, machine translation, and summarization. Beam search balances between exploring the search space efficiently and generating high-quality output. In this blog, we will dive deep into the […] The post What is Beam Search in NLP Decoding?

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Future-Proof Your Machine Learning Career in 2025

Machine Learning Mastery

Machine learning continues to provide benefits of all sorts that have become integrated within society, meaning that a career in machine learning will only become more important with time.

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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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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.

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Announcing egress control for serverless and model serving workloads

databricks

We are excited to announce that egress control for Databricks serverless and Mosaic AI Model Serving workloads is available in Public Preview on.

AI 272
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Windows 11 just got a big fix but you have to manually update

Dataconomy

Microsoft has released a new preview update, KB5050094 , for Windows 11 24H2 on Tuesday, which aims to fix multiple bugs affecting the operating system, including issues arising from the January Patch Tuesday update. Microsoft releases preview update KB5050094 for Windows 11 24H2 KB5050094 addresses audio issues where USB headphones, as well as other devices connected through a digital-to-analog converter (DAC), failed to produce sound, displaying the error message: “Insufficient system re

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On the Modeling Capabilities of Large Language Models for Sequential Decision Making

Machine Learning Research at Apple

Large pretrained models are showing increasingly better performance in reasoning and planning tasks across different modalities, opening the possibility to leverage them for complex sequential decision making problems. In this paper, we investigate the capabilities of Large Language Models (LLMs) for reinforcement learning (RL) across a diversity of interactive domains.

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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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How to Drive Cost Savings, Efficiency Gains, and Sustainability Wins with MES

Speaker: Nikhil Joshi, Founder & President of Snic Solutions

Is your manufacturing operation reaching its efficiency potential? A Manufacturing Execution System (MES) could be the game-changer, helping you reduce waste, cut costs, and lower your carbon footprint. Join Nikhil Joshi, Founder & President of Snic Solutions, in this value-packed webinar as he breaks down how MES can drive operational excellence and sustainability.