Trending Articles

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How to use ‘Ask Photos’ feature in Google Photos?

Analytics Vidhya

Introduction The “Ask Photos” function is an interesting addition to Google Photos, which was introduced at Google I/O 2024. This cutting-edge solution transforms how consumers interact with their photo libraries by utilizing artificial intelligence, specifically powered by Gemini. “Ask Photos” claims to expedite photo retrieval by providing a smooth and user-friendly search experience.

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Data Observability and Data Quality Testing Certification Series

DataKitchen

Data Observability and Data Quality Testing Certification Series We are excited to invite you to a free four-part webinar series that will elevate your understanding and skills in Data Observation and Data Quality Testing. This series is crafted for professionals eager to deepen their knowledge and enhance their data management practices, whether you are a seasoned data engineer, a data quality manager, or just passionate about data.

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Private cloud makes its comeback, thanks to AI

CIO Business Intelligence

Private cloud providers may be among the key beneficiaries of today’s generative AI gold rush as, once seemingly passé in favor of public cloud, CIOs are giving private clouds — either on-premises or hosted by a partner — a second look. At the center of this shift is increasing acknowledgement that to support AI workloads and to contain costs, enterprises long-term will land on a hybrid mix of public and private cloud.

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5 Free University Courses to Learn Machine Learning

KDnuggets

Want to learn machine learning from the best of resources? Check out these free machine learning courses from the top universities of the world.

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Generative AI Deep Dive: Advancing from Proof of Concept to Production

Speaker: Maher Hanafi, VP of Engineering at Betterworks & Tony Karrer, CTO at Aggregage

Executive leaders and board members are pushing their teams to adopt Generative AI to gain a competitive edge, save money, and otherwise take advantage of the promise of this new era of artificial intelligence. There's no question that it is challenging to figure out where to focus and how to advance when it’s a new field that is evolving everyday. 💡 This new webinar featuring Maher Hanafi, CTO of Betterworks, will explore a practical framework to transform Generative AI prototypes into

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Introducing Amazon MWAA support for the Airflow REST API and web server auto scaling

AWS Big Data

Apache Airflow is a popular platform for enterprises looking to orchestrate complex data pipelines and workflows. Amazon Managed Workflows for Apache Airflow (Amazon MWAA) is a managed service that streamlines the setup and operation of secure and highly available Airflow environments in the cloud. In this post, we’re excited to introduce two new features that address common customer challenges and unlock new possibilities for building robust, scalable, and flexible data orchestration solutions

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Understanding the XLNet Pre-trained Model

Analytics Vidhya

Introduction XLNet is an autoregressive pretraining method proposed in the paper “XLNet: Generalized Autoregressive Pretraining for Language Understanding ” XLNet uses an innovative approach to training. Unlike previous models like BERT, which use masked language modeling (MLM), where certain words are masked and predicted based on context, XLNet employs permutation language modeling (PLM).

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3 ways to break out of AI ‘pilot purgatory’

CIO Business Intelligence

American humorist Mark Twain once said, “History never repeats itself, but it does often rhyme.” Today we worry this phenomenon is playing out with enterprise adoption of generative AI. On their digital transformation journeys over the last decade, many enterprises spent time mired in “pilot purgatory,” taking as long as years to move from concept to executing on use cases.

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All About the AI Regulatory Landscape

KDnuggets

This post explores the evolving AI regulatory landscape and essential aspects of the EU Act law, crucial for understanding its impact.

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FPGA vs. GPU: Which is better for deep learning?

IBM Big Data Hub

Underpinning most artificial intelligence (AI) deep learning is a subset of machine learning that uses multi-layered neural networks to simulate the complex decision-making power of the human brain. Beyond artificial intelligence (AI) , deep learning drives many applications that improve automation , including everyday products and services like digital assistants, voice-enabled consumer electronics, credit card fraud detection and more.

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Unveiling the Intersection of Engineering and AI with Xander Steenbrugge

Analytics Vidhya

In this episode of Leading with Data, we are thrilled to welcome Xander Steenbrugge, a civil engineer turned machine learning expert. Xander’s passion for AI has driven him to explore its applications across multiple domains, from computer vision to natural language processing. With a unique background that combines civil engineering, electronics, and machine learning, Xander […] The post Unveiling the Intersection of Engineering and AI with Xander Steenbrugge appeared first on Analy

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Leading the Development of Profitable and Sustainable Products

Speaker: Jason Tanner

While growth of software-enabled solutions generates momentum, growth alone is not enough to ensure sustainability. The probability of success dramatically improves with early planning for profitability. A sustainable business model contains a system of interrelated choices made not once but over time. Join this webinar for an iterative approach to ensuring solution, economic and relationship sustainability.

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The Five Use Cases in Data Observability: Ensuring Data Quality in New Data Source

DataKitchen

The Five Use Cases in Data Observability: Ensuring Data Quality in New Data Sources (#1) Introduction to Data Evaluation in Data Observability Ensuring their quality and integrity before incorporating new data sources into production is paramount. Data evaluation serves as a safeguard, ensuring that only cleansed and reliable data makes its way into your systems, thus maintaining the overall health of your data ecosystem.

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How can CIOs build an effective Generative AI strategy?

CIO Business Intelligence

Growing out of control? If 2023 was the year of AI exploration, then 2024 will be the year of action. According to Forrester , investment in AI software will grow 50% faster than the wider software market. A recent PagerDuty survey also found that 71% of businesses are looking to expand investments in AI and machine learning (ML) in the next year.

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Analyze Elastic IP usage history using Amazon Athena and AWS CloudTrail

AWS Big Data

An AWS Elastic IP (EIP) address is a static, public, and unique IPv4 address. Allocated exclusively to your AWS account, the EIP remains under your control until you decide to release it. It can be allocated to your Amazon Elastic Compute Cloud (Amazon EC2) instance or other AWS resources such as load balancers. EIP addresses are designed for dynamic cloud computing because they can be re-mapped to another instance to mask any disruptions.

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Join us at the Iceberg Summit 2024

Cloudera

Apache Iceberg is vital to the work we do and the experience that the Cloudera platform delivers to our customers. Iceberg, a high-performance open-source format for huge analytic tables, delivers the reliability and simplicity of SQL tables to big data while allowing for multiple engines like Spark, Flink, Trino, Presto, Hive, and Impala to work with the same tables, all at the same time.

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Navigating the Future: Generative AI, Application Analytics, and Data

Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?

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How do we use GPT 4o API for Vision, Text, Image, and more?

Analytics Vidhya

Introduction After building up so much hype around search engines, OpenAI released ChatGPT-4o, an upgraded iteration of the widely acclaimed ChatGPT-4 model that underpins its flagship product, ChatGPT. This refined version promises significant improvements in speed and performance, delivering enhanced capabilities across text, vision, and audio processing.

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The Five Use Cases in Data Observability: Effective Data Anomaly Monitoring

DataKitchen

The Five Use Cases in Data Observability: Effective Data Anomaly Monitoring (#2) Introduction Ensuring the accuracy and timeliness of data ingestion is a cornerstone for maintaining the integrity of data systems. Data ingestion monitoring, a critical aspect of Data Observability, plays a pivotal role by providing continuous updates and ensuring high-quality data feeds into your systems.

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Hasso Plattner stepping down signals another turning point at SAP

CIO Business Intelligence

It’s difficult to imagine SAP without Hasso Plattner, who’s been there from the beginning and has significantly shaped the fortunes of Europe’s largest software manufacturer for more than five decades as founder, board of directors member, and, most recently, as chairman of the supervisory board. Now at 80, Plattner is giving up his post at the head of the supervisory board and leaving the SAP stage.

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Pursue a Master’s in Data Science with the 3rd Best Online Program 2024

KDnuggets

100% online master’s program with flexible schedules designed for working professionals. Enrolling now for October 28th.

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Get Better Network Graphs & Save Analysts Time

Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.

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Chart Snapshot: Bump Charts

The Data Visualisation Catalogue

A Bump Chart is a visualisation that shows how the rankings of different categories or entities change over time or between groupings. This chart uses the x-axis to represent time and the y-axis to designate rankings (e.g. 1st, 2nd, 3rd…). Each category or entity is represented by a connected line that “bump” up or down as their rankings change over time.

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5 Ways to Run LLMs Locally on a Computer

Analytics Vidhya

Introduction Running Large Language Models (LLMs) locally on your computer offers a convenient and privacy-preserving solution for accessing powerful AI capabilities without relying on cloud-based services. In this guide, we explore several methods for setting up and running LLMs directly on your machine. From web-based interfaces to desktop applications, these solutions empower users to harness […] The post 5 Ways to Run LLMs Locally on a Computer appeared first on Analytics Vidhya.

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The Five Use Cases in Data Observability: Mastering Data Production

DataKitchen

The Five Use Cases in Data Observability: Mastering Data Production (#3) Introduction Managing the production phase of data analytics is a daunting challenge. Overseeing multi-tool, multi-dataset, and multi-hop data processes ensures high-quality outputs. This blog explores the third of five critical use cases for Data Observability and Quality Validation—data Production—highlighting how DataKitchen’s Open-Source Data Observability solutions empower organizations to manage this critical s

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Adobe introduces AI assistant to help enterprises exploit data held in PDFs

CIO Business Intelligence

Adobe has unveiled a new artificial intelligence assistant that integrates with its widely used Acrobat PDF software, promising to help enterprise workers save hours each week by making it easier to extract insights and information from digital documents. Acrobat AI Assistant for enterprise is an add-on to Adobe’s Acrobat product that will enable employees to quickly generate summaries of lengthy, complex documents, get answers to specific questions, create initial drafts of written content, and

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Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know

Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.

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Six Clouderans Earn CRN Women of the Channel Distinction

Cloudera

Businesses today face unique challenges, whether it’s with hybrid cloud, AI, data analytics, or all of the above. Delivering solutions that can address those challenges effectively requires a robust ecosystem of partnerships. At the center of this critical ecosystem is the partner marketing team at Cloudera, who work tirelessly in pursuit of excellence for customers—and as a result, we’re proud to share that six of our very own Clouderans have been recognized by CRN as part of this year’s Women

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The Easiest Way of Running Llama 3 Locally

KDnuggets

Download, install, and type one command in the terminal to start using Llama 3 on your laptop.

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The Pre-AGI Era War: Google Astra vs GPT-4o

Analytics Vidhya

Introduction Have you attended the Google I/O 2024 Event? If not, I have something interesting for you – Google shared the future of AI with Google Astra. In the wake of OpenAI’s recent release of GPT-4o, Google I/O brought several updates that set the tech world abuzz. GPT-4o represents a significant leap in AI capabilities, […] The post The Pre-AGI Era War: Google Astra vs GPT-4o appeared first on Analytics Vidhya.

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The Five Use Cases in Data Observability: Fast, Safe Development and Deployment

DataKitchen

The Five Use Cases in Data Observability: Fast, Safe Development and Deployment (#4) Introduction The integrity and functionality of new code, tools, and configurations during the development and deployment stages are crucial. This blog post delves into the third critical use case for Data Observation and Data Quality Validation: development and Deployment.

Testing 100
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The Key to Sustainable Energy Optimization: A Data-Driven Approach for Manufacturing

Speaker: Kevin Kai Wong, President of Emergent Energy Solutions

In today's industrial landscape, the pursuit of sustainable energy optimization and decarbonization has become paramount. ♻️ Manufacturing corporations across the U.S. are facing the urgent need to align with decarbonization goals while enhancing efficiency and productivity. Unfortunately, the lack of comprehensive energy data poses a significant challenge for manufacturing managers striving to meet their targets. 📊 Join us for a practical webinar hosted by Kevin Kai Wong of Emergent Ene

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EU moves toward regulating data center energy and water use

CIO Business Intelligence

The European Union will take a big step toward regulating energy and water use by data centers in September, when organizations operating data centers in EU nations will be required to file reports detailing water and energy consumption, as well as steps they are taking to reduce it. The EU’s data center reporting rules are part of a larger regulatory package ultimately aimed at reducing energy consumption by 11.7% between 2020 and 2030.

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Amazon DocumentDB zero-ETL integration with Amazon OpenSearch Service is now available

AWS Big Data

Today, we are announcing the general availability of Amazon DocumentDB (with MongoDB compatibility) zero-ETL integration with Amazon OpenSearch Service. Amazon DocumentDB provides native text search and vector search capabilities. With Amazon OpenSearch Service, you can perform advanced search analytics, such as fuzzy search, synonym search, cross-collection search, and multilingual search, on Amazon DocumentDB data.

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5 Steps to Learn AI for Free in 2024

KDnuggets

Master AI with these free courses from Harvard, Google, AWS, and more.

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4 Gemini Models by Google that you Must Know About

Analytics Vidhya

Introduction “The Gemini Era is here!” – Google Google’s Gemini models have made big advances in AI technology. They started with three versions: Ultra, Pro, and Nano. And now they have improved with the 1.5 Pro, which offers better performance and can handle up to 1 million tokens at once. They have also released the […] The post 4 Gemini Models by Google that you Must Know About appeared first on Analytics Vidhya.

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How To Get Promoted In Product Management

Speaker: John Mansour

If you're looking to advance your career in product management, there are more options than just climbing the management ladder. Join our upcoming webinar to learn about highly rewarding career paths that don't involve management responsibilities. We'll cover both career tracks and provide tips on how to position yourself for success in the one that's right for you.