Fri.Apr 26, 2024

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Top 10 Programming Languages in 2024

Analytics Vidhya

Introduction With technology changing all the time, learning the most useful programming languages is super important. Today’s digital world moves really fast, being a skilled coder with the right programming language can give you wings to fly in this digital world or it can give you a big advantage and open doors to cool jobs […] The post Top 10 Programming Languages in 2024 appeared first on Analytics Vidhya.

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Is Data Science a Bubble Waiting to Burst?

KDnuggets

The need for data science has not decreased or been replaced; instead, it’s the field of data science maturing, with a greater demand for specialized skills and practical experience.

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Nvidia Acquires Run:ai to Boost AI Infrastructure Efficiency

Analytics Vidhya

Nvidia had recently acquired Run:ai, an Israeli startup specializing in AI workload management. This move underscores the increasing significance of Kubernetes in generative AI. Through this, Nvidia aims to address the challenges associated with GPU resource utilization in AI infrastructure. Let’s delve into the details of this acquisition and its implications for the AI and […] The post Nvidia Acquires Run:ai to Boost AI Infrastructure Efficiency appeared first on Analytics Vidhya.

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Free Google Cloud Learning Path for Gemini

KDnuggets

Find out all about Google Cloud's latest learning path, and learn how to use the Gemini language model in the Google Cloud.

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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have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth.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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Top 9 Universities Offering GenAI Certification

Analytics Vidhya

Introduction Fictional stories about artificial intelligence are no longer relevant. With the help of generative artificial intelligence (GenAI), which makes it possible to produce never-before-seen pictures, compelling narratives, and even inventive music, design, marketing, and entertainment are all experiencing drastic transformation. Whether you’re an aspiring AI artist or developer or trying to stay on top, […] The post Top 9 Universities Offering GenAI Certification appeared fi

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Use your corporate identities for analytics with Amazon EMR and AWS IAM Identity Center

AWS Big Data

To enable your workforce users for analytics with fine-grained data access controls and audit data access, you might have to create multiple AWS Identity and Access Management (IAM) roles with different data permissions and map the workforce users to one of those roles. Multiple users are often mapped to the same role where they need similar privileges to enable data access controls at the corporate user or group level and audit data access.

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TransUnion transforms its business model with IT

CIO Business Intelligence

Count TransUnion among the rising tide of enterprises evolving their identities thanks to IT. “We are thinking like a software company and transforming ourselves like a software company,” says Venkat Achanta, chief technology, data, and analytics officer of the $4 billion credit bureau, which is recasting itself into a customer data services provider intent on parlaying its reputation for trust and ample data assets to drive analytics, machine learning (ML), and AI development on the cloud.

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Apple Introduces OpenELM: Open-Source AI Models for On-Device Processing

Analytics Vidhya

Apple has recently unveiled OpenELM, a family of open-source language models optimized for on-device processing. This model has been made open source, encouraging free usage and collaboration. Apple’s move towards transparency aims to empower developers and researchers while enhancing user privacy. Let’s find out more about this new release. Also Read: Apple Boosts AI Capabilities […] The post Apple Introduces OpenELM: Open-Source AI Models for On-Device Processing appeared first on

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How AI Is Changing Data Analytics in 2024

Smart Data Collective

Experience the game-changing impact of AI on data analytics in 2024. Elevate your strategy now!

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Top 7 AI Healthcare Solution Providers

Analytics Vidhya

Introduction Artificial Intelligence technology is reshaping treatment, patient care and diagnosis in the healthcare industry. Precision medicine platforms and portable ultrasound equipment are examples of these technology. Healthcare professionals can now offer patients individualized, effective, and precise care because to developments in artificial intelligence.

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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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Chart Snapshot: Functional Box Plots

The Data Visualisation Catalogue

A Functional Box Plot is a visualisation used to explore and analyse functional data , which are data that can be represented as curves or surfaces. While this visualisation technique is a variation of the classic Box Plot , a Functional Box Plot is visually very different and instead plots a combination of lines and areas to communicate the various data ranges.

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Code Like a Pro and Write SQL in Seconds with Snowflake Arctic

Analytics Vidhya

Introduction Snowflake Arctic represents a solution for enterprise AI, offering efficiency, openness, and a strong focus on enterprise intelligence. This new model is designed to push the boundaries of cost-effective training and transparency, making it a significant advancement in large language models. Let’s explore all about coding with Snowflake Arctic with this post.

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#ClouderaLife Allyship April Q&A with Antoine Burrell

Cloudera

This month is Allyship April—a time dedicated to deepening our understanding of allyship and its profound impact on fostering inclusive cultures. Allyship isn’t merely a buzzword; it’s a fundamental commitment to actively support and advocate for marginalized individuals and communities within our organization. This month, we’ve engaged in meaningful conversations, challenged our assumptions, and committed to tangible actions that drive positive change.

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Mastering Decoder-Only Transformer: A Comprehensive Guide

Analytics Vidhya

Introduction In this blog post, we will explore the Decoder-Only Transformer architecture, which is a variation of the Transformer model primarily used for tasks like language translation and text generation. The Decoder-Only Transformer consists of several blocks stacked together, each containing key components such as masked multi-head self-attention and feed-forward transformations.

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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.

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AI Helps Improve About Managed Detection and Response

Smart Data Collective

AI technology has led to breakthroughs in managed detection solutions, which is helping fight cyberattacks.

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How Data Efficient GANs Generate Images of Cats and Dogs?

Analytics Vidhya

Introduction Generative adversarial networks are a popular framework for Image generation. In this article we’ll train Data-efficient GANs with Adaptive Discriminator Augmentation that addresses the challenge of limited training data. Adaptive Discriminator Augmentation dynamically adjusts data augmentation during GAN training, preventing discriminator overfitting and enhancing model generalization.

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Bigger isn’t always better: How hybrid AI pattern enables smaller language models

IBM Big Data Hub

As large language models (LLMs) have entered the common vernacular, people have discovered how to use apps that access them. Modern AI tools can generate, create, summarize, translate, classify and even converse. Tools in the generative AI domain allow us to generate responses to prompts after learning from existing artifacts. One area that has not seen much innovation is at the far edge and on constrained devices.

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From Ego-centric To Eco-centric: Future-Proofing Energy and Utilites Operations

Data Virtualization

Reading Time: 5 minutes How we generate, manage, and consume energy is changing, especially in this volatile post-pandemic world. A sustainable utility future requires improved business resilience with the ability to quickly address new energy-transition requirements as well as increasing regulatory and political demands. The post From Ego-centric To Eco-centric: Future-Proofing Energy and Utilites Operations appeared first on Data Management Blog - Data Integration and Modern Data Management Ar

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8 Steps to Transformation at Speed & Scale – Your Guide to Deploying StratOps

📌Is your Data & AI transformation struggling to really impact the business? Discover the game-changing StratOps approach that: Bridges the Gap : Connect your Data & AI strategy to your operating model, to ensure alignment at every level. Prioritizes Outcomes : Focuses on concrete business outcomes from day one, rather than capabilities in isolation.

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Operationalizing Data Quality: The Key to Successful Modern Analytics

Dataiku

Trash in: Trash out. The old mantra for data quality holds as true today as it did years ago. With the rise of Generative AI and the push for self-service analytics, good data is in more demand than ever before. However, with this increase in demand and democratization, ensuring good data quality has become increasingly challenging. More and more of the governance framework is increasingly automated, and ensuring data quality across all data sources and data products becomes more difficult to ha