Sat.Sep 21, 2024 - Fri.Sep 27, 2024

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Lenovo Neptune Liquid Cooling Ecosystem Expands: New Compact ThinkSystem V4 Solutions Deliver Massive Efficiency for HPC and AI Workloads

insideBIGDATA

Today, Lenovo expanded its industry-leading Lenovo Neptune liquid-cooling technology to more servers with new ThinkSystem V4 designs that help businesses boost intelligence, consolidate IT and lower power consumption in the new era of AI. Powered by Intel® Xeon® 6 processors with P-cores, the new Lenovo’s ThinkSystem SC750 V4 supercomputing infrastructure combines peak performance with advanced efficiency to deliver faster insights in a space-optimized design for intensive HPC workloads.

AI 395
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Media Production with AI: 7 Fields of Creativity in the Industry

Data Science Dojo

In the modern media landscape, artificial intelligence (AI) is becoming a crucial component for different mediums of production. This era of media production with AI will transform the world of entertainment and content creation. By leveraging AI-powered algorithms, media producers can improve production processes and enhance creativity. It offers improved efficiency in editing and personalizing content for users.

AI 376
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7 Steps to Mastering Coding for Data Science

KDnuggets

Are you an aspiring data scientist or early in your data science career? If so, you know that you should use your programming, statistics, and machine learning skills—coupled with domain expertise—to use data to answer business questions. To succeed as a data scientist, therefore, becoming proficient in coding is essential. Especially for handling and analyzing.

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Introducing Meta Llama 3.2 on Databricks: faster language models and powerful multi-modal models

databricks

We are excited to partner with Meta to launch the latest models in the Llama 3 series on the Databricks Data Intelligence Platform.

ML 338
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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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Amplifying AI Use Cases Through Data Sovereignty: A Strategic Approach to Global Innovation

insideBIGDATA

In this contributed article, Cuong Le, Chief Strategy Officer, Data Dynamics, discusses cultivating data sovereignty in our technology-driven ecosystem. Data is at the root of everything in a hyperconnected global economy. It is equally the source of great value and significant risk. 90% of the world’s data was created in the last two years, so it’s clear that we are entering a data-driven society we haven’t yet experienced, especially with the new wave of AI systems and intelligent consumer and

AI 391
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Employer Branding: 3 Effective Ways Using Digital Marketing

Data Science Dojo

HR and digital marketing may seem like two distinct functions inside a company, where HR is mainly focused on internal processes and enhancing employee experience. On the other hand, digital marketing aims more at external communication and customer engagement. However, these two functions are starting to overlap where divisions between them are exceedingly blurring.

More Trending

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No Free Lunch in LLM Watermarking: Trade-offs in Watermarking Design Choices

ML @ CMU

Advances in generative models have made it possible for AI-generated text, code, and images to mirror human-generated content in many applications. Watermarking , a technique that embeds information in the output of a model to verify its source, aims to mitigate the misuse of such AI-generated content. Current state-of-the-art watermarking schemes embed watermarks by slightly perturbing probabilities of the LLM’s output tokens, which can be detected via statistical testing during verification.

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How to Integrate Google Gemini into Tableau Dashboards?

Analytics Vidhya

Introduction Tableau is a powerful and advanced visualization tool. It covers the whole visual development lifecycle. Starting with Tableau Prep Builder, you can effectively clean, transform, and source data under one roof. Tableau Desktop then presents this data to tell a story, while Tableau Server allows you to share these visuals with the intended audience. […] The post How to Integrate Google Gemini into Tableau Dashboards?

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What is a Confusion Matrix? Understand the 4 Key Metric of its Interpretation

Data Science Dojo

In the world of machine learning, evaluating the performance of a model is just as important as building the model itself. One of the most fundamental tools for this purpose is the confusion matrix. This powerful yet simple concept helps data scientists and machine learning practitioners assess the accuracy of classification algorithms , providing insights into how well a model is performing in predicting various classes.

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7 Free Online Python REPLs

KDnuggets

Running Python code directly in your browser is incredibly convenient, eliminating the need for Python environment setup and allowing instant code execution without dependency or hardware concerns. I am a strong advocate of using a cloud-based IDE for working with data, machine learning, and learning Python as a beginner. It helps you learn programming and.

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Apache Airflow®: The Ultimate Guide to 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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Honeycomb Sweetens ‘Frontend’ Web Observability

Adrian Bridgwater for Forbes

Cloud technology offering for web application debugging & optimization for software engineering teams to gain data-driven precision.

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Announcing Databricks Support for Amazon EC2 G6 Instances

databricks

We are excited to announce that Databricks now supports Amazon EC2 G6 instances powered by NVIDIA L4 Tensor Core GPUs. This addition marks.

ML 275
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Nasuni Integrates Microsoft 365 Copilot Bringing AI Transformation to Unstructured Data

insideBIGDATA

Nasuni, a leading enterprise data platform for hybrid cloud environments, announced its latest advancement in data intelligence by further integrating with Microsoft 365 Copilot. Through the Microsoft Graph Connector, Nasuni managed data is now fully accessible and operational with Microsoft Search and Microsoft 365 Copilot, significantly expanding data access for Microsoft’s AI services.

AI 273
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Has Europe Gone Too Far? The Delicate Dance of Regulation and Innovation

KDnuggets

While one can argue that Europe’s cautious regulatory approach might hinder innovation and competition in AI compared to more permissive regions like the US and China, the challenge is more nuanced.

AI 292
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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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NetApp Bolsters Backbone To Boost Intelligent Data Infrastructure

Adrian Bridgwater for Forbes

NetApp portfolio developments & collaborations with industry partners are hoped to drive business outcomes with AI services for data from the base level to the user interface.

AI 284
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5 Free Courses to Master Deep Learning in 2024

Machine Learning Mastery

AI applications are everywhere. I use ChatGPT on a daily basis — to help me with work tasks, and planning, and even as an accountability partner. Generative AI hasn’t just transformed the way we work. It helps businesses streamline operations, cut costs, and improve efficiency. As companies rush to implement generative AI solutions, there has been an […] The post 5 Free Courses to Master Deep Learning in 2024 appeared first on MachineLearningMastery.com.

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NEC Orchestrating Future Fund Invests in Sakana AI to Promote Development of Generative AI

insideBIGDATA

NEC Orchestrating Future Fund (NOFF), an ecosystem-based corporate venture capital (CVC) fund, has made an investment in Sakana AI, a Japan-based company that gathers technical talent from around the world to conduct research and development of generative AI.

AI 273
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Feature Store Summit 2024: Data for AI – Real-Time, Batch, and LLMs

KDnuggets

Sponsored Content Once again the conference brings together researchers, professionals, and educators to present and discuss advances in Data and AI across various applications within industry. The Feature Store Summit aims to combine advances in technology and new use cases for managing data for AI. Hosted by Hopsworks, this free online conference.

AI 281
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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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7 Steps to Build an AI Agent with No Code

Analytics Vidhya

Introduction “AI agents will become the primary way we interact with computers in the future. They will be able to understand our needs and preferences, and proactively help us with tasks and decision making.” – Satya Nadella, CEO of Microsoft AI agents are everywhere and rightfully so! These agents operate with a higher level of […] The post 7 Steps to Build an AI Agent with No Code appeared first on Analytics Vidhya.

AI 259
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Building 3 Fun AI Applications with ControlFlow

Machine Learning Mastery

The AI industry is rapidly advancing towards creating solutions using large language models (LLMs) and maximizing the potential of AI models. Companies are seeking tools that seamlessly integrate AI into existing codebases without the hefty costs associated with hiring professionals and acquiring resources. This is where Controlflow comes into play.

AI 254
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Strawberry’s Paradox: When Perfect Answers Aren’t Enough

Cassie Kozyrkov

How AI Advances Are Shifting the Burden to Human Judgment Continue reading on Towards Data Science »

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Fundamentals of Effective Prompt Engineering

KDnuggets

The launch of foundational models, popularly called Large Language Models (LLMs), created new ways of working – not just for the enterprises redefining the legacy ways of doing business, but also for the developers leveraging these models. The remarkable ability of these models to comprehend and respond in human-like language has given rise to.

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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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Advanced Vector Indexing Techniques for High-Dimensional Data

Analytics Vidhya

Introduction In the current data-focused society, high-dimensional data vectors are now more important than ever for various uses like recommendation systems, image recognition, NLP, and anomaly detection. Efficiently searching through these vectors at scale can be difficult, especially with datasets containing millions or billions of vectors. More advanced indexing techniques are needed as traditional methods […] The post Advanced Vector Indexing Techniques for High-Dimensional Data appea

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Betterworks Elevates Privacy and Reduces Performance Management Tasks With Launch of LLM and AI-Assisted Tools

insideBIGDATA

Bringing together advanced technology and design to boost engagement and performance. Betterworks, a leading performance management software company, is making more strides towards integrating GenAI capabilities responsibly and purposefully throughout the performance review management process with the launch of its private Large Language Model (LLM) to power its award-winning AI tools.

AI 243
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AI Powered BI for Games

databricks

Unlock the potential of your data with Databricks' AI/BI Genie spaces! This blog post explores how to create a Genie space using a World of Warcraft dataset, enabling users to interactively query data and gain insights like a data analyst. Discover the ease of setting up a Genie space, visualize character engagement, and empower your team to make data-driven decisions.

Power BI 223
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How to Calculate Eigenvalues and Eigenvectors with NumPy

KDnuggets

NumPy is a powerful Python library, which supports many mathematical functions that can be applied to multi-dimensional arrays. In this short tutorial, you will learn how to calculate the eigenvalues and eigenvectors of an array using the linear algebra module in NumPy. Calculating the Eigenvalues and Eigenvectors in NumPy In order to explore.

Python 275
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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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Mistral Large 2 vs Claude 3.5 Sonnet: Performance, Accuracy, and Efficiency

Analytics Vidhya

Introduction In the dynamic realm of artificial intelligence, innovation never stands still, and new models continuously emerge, vying for attention and application. Among the latest breakthroughs are Mistral Large 2 and Anthropic’s Claude 3.5 Sonnet, each representing distinct approaches to harnessing AI’s potential. Mistral Large 2 focuses on performance and versatility, promising to handle a […] The post Mistral Large 2 vs Claude 3.5 Sonnet: Performance, Accuracy, and Effici

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New Research: AI-oriented Financial Services Organizations Outperforming Peers in Business Outcomes

insideBIGDATA

Vultr just released the latest iteration of its AI Maturity report, "Unlocking the Power of AI in Financial Services," which covers the impacts of AI implementation in the financial services industry, and how organizations can overcome industry challenges to make the most of their AI deployment.

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From Single Trees to Forests: Enhancing Real Estate Predictions with Ensembles

Machine Learning Mastery

This post dives into the application of tree-based models, particularly focusing on decision trees, bagging, and random forests within the Ames Housing dataset. It begins by emphasizing the critical role of preprocessing, a fundamental step that ensures our data is optimally configured for the requirements of these models. The path from a single decision tree […] The post From Single Trees to Forests: Enhancing Real Estate Predictions with Ensembles appeared first on MachineLearningMastery

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How to Use R for Data Transformation with dplyr

KDnuggets

It's important to transform data for effective data analysis. R's 'dplyr' package makes data transformation simple and efficient. This article will teach you how to use the dplyr package for data transformation in R. Install dplyr Before using dplyr, you must install and load it into your R session. Now you’re ready to.

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The Cloud Development Environment Adoption Report

Cloud Development Environments (CDEs) are changing how software teams work by moving development to the cloud. Our Cloud Development Environment Adoption Report gathers insights from 223 developers and business leaders, uncovering key trends in CDE adoption. With 66% of large organizations already using CDEs, these platforms are quickly becoming essential to modern development practices.