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Unmasking hidden online hate: A new tool helps catch nasty comments—even when they’re disguised
Unmasking hidden online hate: A new tool helps catch nasty comments—even when they’re disguised People determined to spread toxic messages online have taken to masking their words to bypass automated moderation filters. Go to boat international
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Live in an apartment and want to charge an electric car at home? Here are four ways to help that happen
Live in an apartment and want to charge an electric car at home? Here are four ways to help that happen Being able to charge your car at home is a big drawcard for many electric vehicle buyers. But it’s rare to find chargers installed at apartment complexes in Australia. Go to boat international
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Shrinking AI for personal devices: An efficient small language model that could perform better on smartphones
Shrinking AI for personal devices: An efficient small language model that could perform better on smartphones Large language models (LLMs), such as Open AI’s renowned conversational platform ChatGPT, have recently become increasingly widespread, with many internet users relying on them to find information quickly and produce texts for various purposes. Yet most of these models…
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When asked to build web pages, LLMs found to include manipulative design practices
When asked to build web pages, LLMs found to include manipulative design practices A team of computer scientists at Technical University of Darmstadt, working with a colleague from the University of Glasgow, and another from Humbold University of Berlin, has found evidence via experiments they ran, that when asked to build a web page, LLMs…
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Commvault launches data restore solution for Amazon S3
Commvault launches data restore solution for Amazon S3 Hybrid cloud data protection company Commvault has launched a new solution designed to allow enterprises to use automation to rapidly revert data stored in Amazon S3 to specific versions from specific times. The company says that Clumio Backtrack can help cloud operations, IT and security teams effectively…
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Eight steps to avoid breaking the bank on AI’s seductive promise
Eight steps to avoid breaking the bank on AI’s seductive promise “I don’t know where AI is going, but we have to spend or else we could miss out.” Far too often, I’m hearing this exact line from CIOs who in any other context would be much more circumspect when considering their tech spend. But…
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where were these call centers?
https://www.freethink.com/robots-ai/generative-ai-shipping
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if anyone can count risk…
https://www.swissre.com/press-release/Economic-losses-set-to-increase-due-to-climate-change-with-US-and-Philippines-the-hardest-hit-Swiss-Re-Institute-finds/3051a9b0-e379-4bcb-990f-3cc8236d55a1
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On the ERM Principle in Meta-Learning
On the ERM Principle in Meta-Learning arXiv:2411.17898v1 Announce Type: new Abstract: Classic supervised learning involves algorithms trained on $n$ labeled examples to produce a hypothesis $h in mathcal{H}$ aimed at performing well on unseen examples. Meta-learning extends this by training across $n$ tasks, with $m$ examples per task, producing a hypothesis class $mathcal{H}$ within some…
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Isometry pursuit
Isometry pursuit arXiv:2411.18502v1 Announce Type: new Abstract: Isometry pursuit is a convex algorithm for identifying orthonormal column-submatrices of wide matrices. It consists of a novel normalization method followed by multitask basis pursuit. Applied to Jacobians of putative coordinate functions, it helps identity isometric embeddings from within interpretable dictionaries. We provide theoretical and experimental results justifying…
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A Flexible Defense Against the Winner’s Curse
A Flexible Defense Against the Winner’s Curse arXiv:2411.18569v1 Announce Type: new Abstract: Across science and policy, decision-makers often need to draw conclusions about the best candidate among competing alternatives. For instance, researchers may seek to infer the effectiveness of the most successful treatment or determine which demographic group benefits most from a specific treatment. Similarly,…
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Functional relevance based on the continuous Shapley value
Functional relevance based on the continuous Shapley value arXiv:2411.18575v1 Announce Type: new Abstract: The presence of Artificial Intelligence (AI) in our society is increasing, which brings with it the need to understand the behaviour of AI mechanisms, including machine learning predictive algorithms fed with tabular data, text, or images, among other types of data. This…
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When Is Heterogeneity Actionable for Personalization?
When Is Heterogeneity Actionable for Personalization? arXiv:2411.16552v1 Announce Type: cross Abstract: Targeting and personalization policies can be used to improve outcomes beyond the uniform policy that assigns the best performing treatment in an A/B test to everyone. Personalization relies on the presence of heterogeneity of treatment effects, yet, as we show in this paper, heterogeneity…
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A Story of Long Tails: Why Uncertainty in Marketing Mix Modelling is Important
A Story of Long Tails: Why Uncertainty in Marketing Mix Modelling is Important “Details matter. It’s worth waiting to get it right.” — Steve Jobs Continue reading on Towards Data Science » Javier Marin Go to original source
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How to Transition from Engineering to Data Science
How to Transition from Engineering to Data Science AI for engineers: experience of an engineering graduate Continue reading on Towards Data Science » Dan Pietrow Go to original source
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How to Prune LLaMA 3.2 and Similar Large Language Models
How to Prune LLaMA 3.2 and Similar Large Language Models This article explores a structured pruning technique for state-of-the-art models, that uses a GLU architecture, enabling the creation of… Continue reading on Towards Data Science » Pere Martra Go to original source
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Level Up Your Coding Skills with Python Threading
Level Up Your Coding Skills with Python Threading Learn how to use queues, daemon threads, and events in a Machine Learning project Continue reading on Towards Data Science » Marcello Politi Go to original source
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How to Develop an Effective AI-Powered Legal Assistant
How to Develop an Effective AI-Powered Legal Assistant Create a machine-learning-based search into legal decisions Continue reading on Towards Data Science » Eivind Kjosbakken Go to original source
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6 data preparation best practices for analytics applications
6 data preparation best practices for analytics applications Go to techtarget
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$1.33B for Tricentis Fuels Growth for its Continuous Testing and Quality Engineering Tech
$1.33B for Tricentis Fuels Growth for its Continuous Testing and Quality Engineering Tech Tricentis, a global leader in continuous testing and quality engineering, is announcing a significant investment from GTCR, a leading private equity firm, having signed a definitive agreement to invest $1.33 billion, bringing the company’s valuation to $4.5 billion. Joining Tricentis’ other investor?Insight…
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AppViewX Backed by Haveli Investments, Propelling Growth for its CLM and PKI Platform
AppViewX Backed by Haveli Investments, Propelling Growth for its CLM and PKI Platform AppViewX, a leader in automated certificate lifecycle management (CLM) and public key infrastructure (PKI) solutions, is announcing that Haveli Investments?a private equity firm with deep expertise in enterprise software?has made a strategic majority investment in AppViewX. This investment empowers AppViewX to expand…
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Domino Data Lab?s Fall Release Highlights Cost-Efficient, Governed, Powerful AI
Domino Data Lab?s Fall Release Highlights Cost-Efficient, Governed, Powerful AI Domino Data Lab, provider of the leading Enterprise AI Platform trusted by the largest AI-driven companies, is announcing an array of platform capabilities and integrations with leading AI innovators?AWS, NetApp, and NVIDIA?that focus on accelerating AI time-to-value while reducing costs and risk. Accompanied by Domino’s…
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Brazil’s top court takes on regulation of social media
Brazil’s top court takes on regulation of social media Brazil’s Supreme Court on Wednesday started examining four cases that turn on how far social media should be regulated, and what responsibilities platforms have in cracking down on illegal content. Go to boat international
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Earning money while making power grid more stable—energy consumers can have key role in supporting grid flexibility
Earning money while making power grid more stable—energy consumers can have key role in supporting grid flexibility By providing flexibility services to renewable energy systems, consumers can both help in balancing power grids and receive financial benefits. Hosna Khajeh’s doctoral dissertation from the University of Vaasa, Finland, introduces new methods that enable the efficient utilization…
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Retrieve-Revise-Refine: A novel framework for retrieval of concise entailing legal articles
Retrieve-Revise-Refine: A novel framework for retrieval of concise entailing legal articles Artificial intelligence (AI) continues to redefine the boundaries of legal technology, offering to automate advanced tasks such as legal question answering and consultation. In the domain of statute law, a particular challenge is the task of retrieving the concise set of entailing legal articles…
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Is using AI tools innovation or exploitation? Three ways to think about the ethics
Is using AI tools innovation or exploitation? Three ways to think about the ethics Artificial intelligence can be used in countless ways—and the ethical headaches it raises are countless, too. Go to boat international
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Using AI to turn sound recordings into accurate street images
Using AI to turn sound recordings into accurate street images Using generative artificial intelligence, a team of researchers at The University of Texas at Austin has converted sounds from audio recordings into street-view images. The visual accuracy of these generated images demonstrates that machines can replicate human connection between audio and visual perception of environments.…
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170 | Formalizing Design with Gabrielle Mérite and Alan Wilson
170 | Formalizing Design with Gabrielle Mérite and Alan Wilson Data design systems and styleguides are currently a huge trend in the data design world. Moritz is joined by Gabrielle Mérite and Alan Wilson and together we exchange experiences in this emerging space, from designing dataviz components as part of Adobe Spectrum, the styleguide for Deloitte’s Insights…
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169 | Data Conversations with Vidya Setlur
169 | Data Conversations with Vidya Setlur We have Vidya Setlur on the show to talk about the role language, and natural language processing (NLP) play in data visualization and analytics. Vidya is the director of research at Tableau and has a background in natural language processing and visualization. She is one of the main drivers behind…
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168 | Highlights from IEEE VIS’22 with Tamara Munzner
168 | Highlights from IEEE VIS’22 with Tamara Munzner Finally, this year we managed to record another classic episode from the IEEE VIS Conference (we recorded a total of 10 with this one!) We have Data Stories’ friend Prof. Tamara Munzner with us to talk about the conference and to highlight a few things she picked from…
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167 | Visualization and Statistics with Andrew Gelman and Jessica Hullman
167 | Visualization and Statistics with Andrew Gelman and Jessica Hullman In this new episode, we talk about the interplay between statistics and data visualization. We do that with Andrew Gelman, Professor of Statistics and Political Science at Columbia University, and Jessica Hullman, Professor of Computer Science at Northwestern University. Andrew started the popular blog “Statistical Modeling,…
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166 | Catching up with Amanda Makulec
166 | Catching up with Amanda Makulec Hey all, we are back! In this episode, we have Amanda Makulec to catch up on what happened during this whole period of time. Amanda is a public health and data visualization expert and she is the Executive Director of the Data Visualization Society. In the episode, we talk about…
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What’s going on everybody?
What’s going on everybody? sentdex Go to original source
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Building an LLM fine-tuning Dataset
Building an LLM fine-tuning Dataset sentdex Go to original source
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Visualizing Neural Network Internals
Visualizing Neural Network Internals sentdex Go to original source
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Getting Back on Grid
Getting Back on Grid sentdex Go to original source
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Open Source AI Inference API w/ Together
Open Source AI Inference API w/ Together sentdex Go to original source
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Conformalised Conditional Normalising Flows for Joint Prediction Regions in time series
Conformalised Conditional Normalising Flows for Joint Prediction Regions in time series arXiv:2411.17042v1 Announce Type: new Abstract: Conformal Prediction offers a powerful framework for quantifying uncertainty in machine learning models, enabling the construction of prediction sets with finite-sample validity guarantees. While easily adaptable to non-probabilistic models, applying conformal prediction to probabilistic generative models, such as Normalising…
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Fast, Precise Thompson Sampling for Bayesian Optimization
Fast, Precise Thompson Sampling for Bayesian Optimization arXiv:2411.17071v1 Announce Type: new Abstract: Thompson sampling (TS) has optimal regret and excellent empirical performance in multi-armed bandit problems. Yet, in Bayesian optimization, TS underperforms popular acquisition functions (e.g., EI, UCB). TS samples arms according to the probability that they are optimal. A recent algorithm, P-Star Sampler (PSS),…
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Spatio-Temporal Conformal Prediction for Power Outage Data
Spatio-Temporal Conformal Prediction for Power Outage Data arXiv:2411.17099v1 Announce Type: new Abstract: In recent years, increasingly unpredictable and severe global weather patterns have frequently caused long-lasting power outages. Building resilience, the ability to withstand, adapt to, and recover from major disruptions, has become crucial for the power industry. To enable rapid recovery, accurately predicting future…
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Training a neural netwok for data reduction and better generalization
Training a neural netwok for data reduction and better generalization arXiv:2411.17180v1 Announce Type: new Abstract: The motivation for sparse learners is to compress the inputs (features) by selecting only the ones needed for good generalization. Linear models with LASSO-type regularization achieve this by setting the weights of irrelevant features to zero, effectively identifying and ignoring…
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A Generalized Unified Skew-Normal Process with Neural Bayes Inference
A Generalized Unified Skew-Normal Process with Neural Bayes Inference arXiv:2411.17400v1 Announce Type: new Abstract: In recent decades, statisticians have been increasingly encountering spatial data that exhibit non-Gaussian behaviors such as asymmetry and heavy-tailedness. As a result, the assumptions of symmetry and fixed tail weight in Gaussian processes have become restrictive and may fail to capture…
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Weekly Entering & Transitioning – Thread 25 Nov, 2024 – 02 Dec, 2024
Weekly Entering & Transitioning – Thread 25 Nov, 2024 – 02 Dec, 2024 Welcome to this week’s entering & transitioning thread! This thread is for any questions about getting started, studying, or transitioning into the data science field. Topics include: Learning resources (e.g. books, tutorials, videos) Traditional education (e.g. schools, degrees, electives) Alternative education (e.g.…
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Just spent the afternoon chatting with ChatGPT about a work problem. Now I am a convert.
Just spent the afternoon chatting with ChatGPT about a work problem. Now I am a convert. I have to build an optimization algorithm on a domain I have not worked in before (price sensitivity based, revenue optimization) Well, instead of googling around, I asked ChatGPT which we do have available at work. And it was…
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Should I try to become a Data scientist or AI engineer
Should I try to become a Data scientist or AI engineer Background: I’m a 25M with 2.5 years experience as an analyst. (Soon enrolling in a masters program in CS) There are a few careers possibilities for me, but I’m confused as to whether I should try to become a general data scientist or ai…
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Have you ever presented an analysis or shipped a model just because someone demand it, even when you knew it was wrong, just to save your ass?
Have you ever presented an analysis or shipped a model just because someone demand it, even when you knew it was wrong, just to save your ass? This has been quite common in my career. Execs demand a model X, we barely have good data to create nor the model turns out good, but telling…
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I Wrote a Guide to Simulation in Python with SimPy
I Wrote a Guide to Simulation in Python with SimPy Hi folks, I wrote a guide on discrete-event simulation with SimPy, designed to help you learn how to build simulations using Python. Kind of like the official documentation but on steroids. I have used SimPy personally in my own career for over a decade, it…
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Neuromorphic Computing — an Edgier, Greener AI
Neuromorphic Computing — an Edgier, Greener AI Neuromorphic Computing — an Edgier, Greener AI Why computer hardware and AI algorithms are being reinvented using inspiration from the brain euromorphic Computing might not just help bring AI to the edge, but also reduce carbon emissions at data centers. Generated by author with ImageGen 3. There are periodic proclamations of the coming neuromorphic computing…
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Addressing Missing Data
Addressing Missing Data Understand missing data patterns (MCAR, MNAR, MAR) for better model performance with Missingno Continue reading on Towards Data Science » Gizem Kaya Go to original source
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Optimizing Transformer Models for Variable-Length Input Sequences
Optimizing Transformer Models for Variable-Length Input Sequences How PyTorch NestedTensors, FlashAttention2, and xFormers can Boost Performance and Reduce AI Costs Photo by Tanja Zöllner on Unsplash As generative AI (genAI) models grow in both popularity and scale, so do the computational demands and costs associated with their training and deployment. Optimizing these models is crucial for enhancing…
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Mistral 7B Explained: Towards More Efficient Language Models
Mistral 7B Explained: Towards More Efficient Language Models RMS Norm, RoPE, GQA, SWA, KV Cache, and more! Part 5 in the “LLMs from Scratch” series — a complete guide to understanding and building Large Language Models. If you are interested in learning more about how these models work I encourage you to read: Part 1: Tokenization — A Complete Guide Part 2:…
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What is SAP Plant Maintenance (PM)?
What is SAP Plant Maintenance (PM)? Go to techtarget
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What is SAP Quality Management (QM)?
What is SAP Quality Management (QM)? Go to techtarget
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What is SAP Sales and Distribution (SAP SD)?
What is SAP Sales and Distribution (SAP SD)? Go to techtarget
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What is SAP Data Services?
What is SAP Data Services? Go to techtarget
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What is SAP Project System (SAP PS)?
What is SAP Project System (SAP PS)? Go to techtarget
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What is data?
What is data? Go to techtarget
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What is corporate performance management (CPM)?
What is corporate performance management (CPM)? Go to techtarget
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What is NoSQL (Not Only SQL database)?
What is NoSQL (Not Only SQL database)? Go to techtarget
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What is business intelligence (BI)? A detailed guide
What is business intelligence (BI)? A detailed guide Go to techtarget
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What is denormalization and how does it work?
What is denormalization and how does it work? Go to techtarget
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What is Oracle?
What is Oracle? Go to techtarget
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Oracle E-Business Suite
Oracle E-Business Suite Go to techtarget
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foreign key
foreign key Go to techtarget
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operational data store (ODS)
operational data store (ODS) Go to techtarget
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multidimensional database (MDB)
multidimensional database (MDB) Go to techtarget
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Oracle users share challenges, successes with cloud, AI
Oracle users share challenges, successes with cloud, AI Go to techtarget
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Oracle CloudWorld 2024 delivers AI, database and OCI updates
Oracle CloudWorld 2024 delivers AI, database and OCI updates Go to techtarget
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Oracle launches over 50 AI Agents for business use
Oracle launches over 50 AI Agents for business use Go to techtarget
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Oracle makes OCI GenAI Agents with RAG available
Oracle makes OCI GenAI Agents with RAG available Go to techtarget
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Oracle adds generative AI tools to Fusion CX applications
Oracle adds generative AI tools to Fusion CX applications Go to techtarget
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Follow 10 Power Apps best practices to build business apps
Follow 10 Power Apps best practices to build business apps Go to techtarget
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What is computational linguistics? Definition and career info
What is computational linguistics? Definition and career info Go to techtarget
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What is public cloud? A definition and in-depth guide
What is public cloud? A definition and in-depth guide Go to techtarget
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Selecting an AWS EC2 instance for machine learning workloads
Selecting an AWS EC2 instance for machine learning workloads Go to techtarget
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What is AIOps (artificial intelligence for IT operations)?
What is AIOps (artificial intelligence for IT operations)? Go to techtarget
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Use this EC2 instance type comparison to power your AWS apps
Use this EC2 instance type comparison to power your AWS apps Go to techtarget
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Big data analytics and business intelligence: A comparison
Big data analytics and business intelligence: A comparison Go to techtarget
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Microsoft Ignite 2024 conference coverage
Microsoft Ignite 2024 conference coverage Go to techtarget
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What is a business intelligence dashboard (BI dashboard)?
What is a business intelligence dashboard (BI dashboard)? Go to techtarget
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What are ModelOps (model operations) analytics models?
What are ModelOps (model operations) analytics models? Go to techtarget
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What is business intelligence architecture (BI architecture)?
What is business intelligence architecture (BI architecture)? Go to techtarget
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6 key features of embedded analytics software
6 key features of embedded analytics software Go to techtarget
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How to get data ready for AI development
How to get data ready for AI development Go to techtarget
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What is a business intelligence analyst and what do they do?
What is a business intelligence analyst and what do they do? Go to techtarget
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12 top contact center platforms of 2025
12 top contact center platforms of 2025 Go to techtarget
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What is an information system (IS)?
What is an information system (IS)? Go to techtarget
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Business intelligence reporting: What it is, how it works
Business intelligence reporting: What it is, how it works Go to techtarget
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NetApp Joins the Vultr Cloud Alliance to Provide Intelligent Infrastructure for AI Innovation
NetApp Joins the Vultr Cloud Alliance to Provide Intelligent Infrastructure for AI Innovation Vultr, one of the world’s largest privately held cloud computing platform, announced that NetApp, the intelligent data infrastructure company, has joined the Vultr Cloud Alliance, a partnership program consisting of solutions that enable composable AI cloud services. Go to dbta
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Clumio Backtrack by Commvault Makes Massive, Near-Instant S3 Recovery a Reality
Clumio Backtrack by Commvault Makes Massive, Near-Instant S3 Recovery a Reality Commvault, a leading provider of cyber resilience and data protection solutions for the hybrid cloud, is debuting a new capability that delivers near-instant recovery of large datasets stored in Amazon S3?Clumio Backtrack. By enabling organizations to automate the process of reverting a high quantity…
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Continuent?s Tungsten Copilot Transforms Technical and Customer Support Efficacy and Efficiency
Continuent?s Tungsten Copilot Transforms Technical and Customer Support Efficacy and Efficiency Continuent, the leading provider of high availability and continuous operations solutions for business-critical applications using MySQL and MariaDB databases, is unveiling Tungsten Copilot, an AI-powered tool designed to enhance technical and customer support, increasing issue detection, analysis, and resolution speed. As part of Continuent’s…
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LogicMonitor Secures $800M to Power the Modern Data Center and AI Innovation
LogicMonitor Secures $800M to Power the Modern Data Center and AI Innovation LogicMonitor, a leading SaaS-based hybrid observability platform powered by AI, is announcing a substantial infusion of capital?an investment of $800 million?from PSG, Golub Capital, and other contributors. Powering LogicMonitor’s innovations in bridging AI and data centers, this latest funding will contribute to LogicMonitor’s…
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Pega Supports Rapid Digital Transformation with New GenAI Capabilities
Pega Supports Rapid Digital Transformation with New GenAI Capabilities Pegasystems Inc., The Enterprise Transformation Company, is introducing new AI-driven legacy discovery capabilities in Pega GenAI Blueprint to accelerate the task of modernizing legacy systems. These new features empower IT teams to analyze their existing systems in seconds and reimagine their workflows while reducing technical debt,…
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Multilingual and open source: OpenGPT-X research project releases large language model
Multilingual and open source: OpenGPT-X research project releases large language model The large language model of the OpenGPT-X research project is now available for download on Hugging Face: “Teuken-7B” has been trained from scratch in all 24 official languages of the European Union and contains 7 billion parameters. Go to boat international
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Protective TiO₂ layer enhances longevity of photoelectrodes used in solar hydrogen production
Protective TiO₂ layer enhances longevity of photoelectrodes used in solar hydrogen production The commercialization of solar green hydrogen production technology is nearing realization, thanks to the development of a novel protective material that significantly enhances the longevity of photoelectrodes, the key component of the technology. Go to boat international
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Navigating the opt-in maze: Balancing transparency and persuasion in data consent
Navigating the opt-in maze: Balancing transparency and persuasion in data consent In the digital age, personal data is hugely valuable. Companies are eager to access this data, but regulations like the EU’s General Data Protection Regulation (GDPR) require users’ explicit consent. What GDPR doesn’t specify, however, is how firms should ask for that consent. Some…
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Intelligent swarm: Working in a team is also relevant for drones
Intelligent swarm: Working in a team is also relevant for drones Uncrewed aerial vehicles (UAVs), commonly known as drones, are omnipresent and have grown in popularity due to their wide potential use in many civilian sectors. Equipped with sophisticated sensors and communication devices, drones can potentially form a multi-UAV system, also called a swarm. Go…
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Biden administration to loan $6.6B to EV maker Rivian to build Georgia factory that automaker paused
Biden administration to loan $6.6B to EV maker Rivian to build Georgia factory that automaker paused President Joe Biden’s administration announced Tuesday that the U.S. Department of Energy will make a $6.6 billion loan to Rivian Automotive to build a factory in Georgia that had stalled as the startup electric vehicle maker struggled to become…
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The AI regulation debate in Australia: navigating risks and rewards
The AI regulation debate in Australia: navigating risks and rewards The AI regulation debate in Australia has intensified. The tightrope of AI risk versus reward has become increasingly relevant, particularly regarding the use of de-identified information. To address these issues, it is essential to elaborate on the principles that define high-risk AI, including a thorough…