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Top 5 AI Tools for Your Everyday Use

Analytics Vidhya

Introduction With so many AI tools available today, it can be hard to know which ones are worth your time. While we can’t try them all, it’s helpful to know which ones are best for everyday tasks like programming, planning, and handling long texts. Lex Fridman, a well-known AI researcher and podcaster, recently tweeted about […] The post Top 5 AI Tools for Your Everyday Use appeared first on Analytics Vidhya.

Analytics 237
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Where’s the ROI for AI? CIOs struggle to find it

CIO Business Intelligence

Finding the return on investment for AI remains elusive for many organizations, even as they rush to adopt the technology. Difficulties estimating or demonstrating the value of AI technologies to the business have been or will be a top barrier to their implementation, according to a recent Gartner survey of more than 700 IT leaders at organizations that have adopted or plan to adopt AI.

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Agentic AI Demystified: The Ultimate Guide to Autonomous Agents

Analytics Vidhya

Introduction Artificial Intelligence (AI) has undergone significant advancements over recent years. Initially limited to automating basic, repetitive tasks, traditional AI has grown to be an invaluable part of every industry. Although they enhance efficiency and productivity, conventional AI systems cannot handle complex decision-making and intricate workflows.

Analytics 301
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How to Fine-Tune BERT for Sentiment Analysis with Hugging Face Transformers

KDnuggets

Find out how to fine-tune BERT for sentiment analysis with Hugging Face Transformers. No unnecessary nonsense, just what you need.

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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, VP of Engineering at Betterworks, will explore a practical framework to transform Generative AI pr

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Querying Minds Want to Know: Can a Data Fabric and RAG Clean up LLMs? – Part 2: On-Demand Enterprise Data Querying

Data Virtualization

Reading Time: 5 minutes Generative AI has opened up new possibilities for organizations that want to be creative and fearless with their data. In my first post in this series, I introduced ways that data fabric and retrieval augmented generation (RAG) can support large. The post Querying Minds Want to Know: Can a Data Fabric and RAG Clean up LLMs? – Part 2: On-Demand Enterprise Data Querying appeared first on Data Management Blog - Data Integration and Modern Data Management Articles, Anal

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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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AI is driving productivity and wage increases: Report

CIO Business Intelligence

Business sectors using artificial intelligence are seeing significant gains in productivity while AI skills are commanding higher wages, according to a new PwC report. Industries such as financial services, information technology, and professional services are seeing labor productivity growth nearly five times greater than industries with less AI integration, the consulting firm said in a statement.

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10 GitHub Repositories to Master Data Engineering

KDnuggets

Learn data engineering through free courses, tutorials, books, tools, guides, roadmaps, practice exercises, projects, and other resources.

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How to establish lineage transparency for your machine learning initiatives

IBM Big Data Hub

Machine learning (ML) has become a critical component of many organizations’ digital transformation strategy. From predicting customer behavior to optimizing business processes, ML algorithms are increasingly being used to make decisions that impact business outcomes. Have you ever wondered how these algorithms arrive at their conclusions? The answer lies in the data used to train these models and how that data is derived.

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Introducing blueprint discovery and other UI enhancements for Amazon OpenSearch Ingestion

AWS Big Data

Amazon OpenSearch Ingestion is a fully managed serverless pipeline that allows you to ingest, filter, transform, enrich, and route data to an Amazon OpenSearch Service domain or Amazon OpenSearch Serverless collection. OpenSearch Ingestion is capable of ingesting data from a wide variety of sources and has a rich ecosystem of built-in processors to take care of your most complex data transformation needs.

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The Role of Data Products in Maximizing ROI from AI Initiatives

Stuck with stalled AI projects? Data silos and fragmented processes are likely culprits. This IDC report unveils Data Products as the secret weapon. By treating data as a product, organizations can overcome these challenges and unlock the true potential of AI. Learn how a unified data control plane empowers Data Products to deliver trusted, high-quality data for faster insights and improved decision-making.

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LSTMs Got an Upgrade? xLSTM is Here to Challenge the Status Quo

Analytics Vidhya

Introduction For years, a type of neural network called the Long Short-Term Memory (LSTM) was the workhorse model for handling sequence data like text. Introduced back in the 1990s, LSTMs were good at remembering long-range patterns, avoiding a technical issue called the “vanishing gradient” that hampered earlier recurrent networks. This made LSTMs incredibly valuable for […] The post LSTMs Got an Upgrade?

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“Íbamos a hacer una transformación TI, pero nos dimos cuenta de que requeríamos una del organigrama de la compañía”

CIO Business Intelligence

El camino hacia la nube no es uno fácil, está lleno de obstáculos y llegar a buen puerto requiere de una estrategia a largo plazo bien pensada. Ese fue el foco de las conversaciones que tuvieron lugar en el Cloud & Infrastructure Forum 2024 , organizado por IDC y Foundry con el patrocinio de DE-CIX, que se llevó a cabo el pasado 21 de mayo en Madrid.

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Where to Go Next in Your Data Career

KDnuggets

We are all looking for the right opportunities in our career. In the landscape of data-related careers, the roles can be grouped into classes, and future opportunities tend to follow natural migration paths between the class groups.

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Le EU Data Act – Quelles conséquences pour vous et votre entreprise ?

Martha Bennett

Le Data Act est un règlement, ce qui signifie qu'il a désormais force de loi dans tous les pays de l'UE et que des amendements spécifiques à chaque pays ne sont pas autorisés.

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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.

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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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Explore Dual3D – An Innovative Diffusion Model for Text-to-3D Model Generation

Analytics Vidhya

Introduction The world of 3D generation has just made huge progress with the introduction of Dual3D. This new framework efficiently transforms text descriptions into high-quality 3D assets in just a minute. In the field of text-to-3D creation, Dual3D sets a new benchmark with its dual-mode multi-view latent diffusion model. This article explains the development of […] The post Explore Dual3D – An Innovative Diffusion Model for Text-to-3D Model Generation appeared first on Analytics V

Modeling 278
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Epicor announces Grow portfolio to weave AI into ERP

CIO Business Intelligence

ERP vendor Epicor is introducing integrated artificial intelligence (AI) and business intelligence (BI) capabilities it calls the Grow portfolio. Grow will reimagine how AI-powered ERP software can and should serve the supply chain industries and their workers, delivering more than 200 adaptive industry use cases, it said at its Insights 2024 user conference in Nashville, Tennessee.

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Mastering Python: 7 Strategies for Writing Clear, Organized, and Efficient Code

KDnuggets

Optimize Your Python Workflow: Proven Techniques for Crafting Production-Ready Code

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Embedding BI: Architectural Considerations and Technical Requirements

While data platforms, artificial intelligence (AI), machine learning (ML), and programming platforms have evolved to leverage big data and streaming data, the front-end user experience has not kept up. Holding onto old BI technology while everything else moves forward is holding back organizations. Traditional Business Intelligence (BI) aren’t built for modern data platforms and don’t work on modern architectures.

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Achieving cloud excellence and efficiency with cloud maturity models

IBM Big Data Hub

Business leaders worldwide are asking their teams the same question: “Are we using the cloud effectively?” This quandary often comes with an accompanying worry: “Are we spending too much money on cloud computing?” Given the statistics—82% of surveyed respondents in a 2023 Statista study cited managing cloud spend as a significant challenge—it’s a legitimate concern.

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Understanding Apache Iceberg on AWS with the new technical guide

AWS Big Data

We’re excited to announce the launch of the Apache Iceberg on AWS technical guide. Whether you are new to Apache Iceberg on AWS or already running production workloads on AWS, this comprehensive technical guide offers detailed guidance on foundational concepts to advanced optimizations to build your transactional data lake with Apache Iceberg on AWS.

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SynthID: Google is Expanding Ways to Protect AI Misinformation

Analytics Vidhya

Introduction With the release of many AI tools, finding AI-generated content is crucial today! It is all due to the widespread dissemination of false information and the potential for spreading hate. AI-generated content can create convincing fake news, deepfakes, and other misleading materials that can manipulate public opinion, incite conflict, and damage reputations.

Analytics 314
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IT leaders look beyond LLMs for gen AI needs

CIO Business Intelligence

With the generative AI gold rush in full swing, some IT leaders are finding generative AI’s first-wave darlings — large language models (LLMs) — may not be up to snuff for their more promising use cases. LLMs, with their advanced ability to comprehend and generate text, have become a near stand-in for generative AI in the collective mindshare. Along with code-generating copilots and text-to-image generators, which leverage a combination of LLMs and diffusion processing, LLMs are at the core of m

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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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An Overview of Hugging Face Diffusers

KDnuggets

Getting Started with HuggingFace Diffusers: A Beginner's Journey into the World of Generative Images

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Enhance your data security posture with a no-code approach to application-level encryption

IBM Big Data Hub

Data is the lifeblood of every organization. As your organization’s data footprint expands across the clouds and between your own business lines to drive value, it is essential to secure data at all stages of the cloud adoption and throughout the data lifecycle. While there are different mechanisms available to encrypt data throughout its lifecycle ( in transit , at rest and in use ), application-level encryption (ALE) provides an additional layer of protection by encrypting data at its so

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Entity resolution and fuzzy matches in AWS Glue using the Zingg open source library

AWS Big Data

In today’s data-driven world, organizations often deal with data from multiple sources, leading to challenges in data integration and governance. AWS Glue , a serverless data integration service, simplifies the process of discovering, preparing, moving, and integrating data for analytics, machine learning (ML), and application development. One critical aspect of data governance is entity resolution, which involves linking data from different sources that represent the same entity, despite not be

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AI’s Biggest Flaw Hallucinations Finally Solved With KnowHalu!

Analytics Vidhya

Introduction Artificial intelligence has made tremendous strides in Natural Language Processing (NLP) by developing Large Language Models (LLMs). These models, like GPT-3 and GPT-4, can generate highly coherent and contextually relevant text. However, a significant challenge with these models is the phenomenon known as “AI hallucinations.” Hallucinations occur when an LLM generates plausible-sounding information but […] The post AI’s Biggest Flaw Hallucinations Finally So

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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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Big tech companies commit to new safety practices for AI

CIO Business Intelligence

Sixteen big users and creators of artificial intelligence (AI) technology — including heavy hitters such as Microsoft, Amazon, Google, Meta, and OpenAI — have signed up to the Frontier AI Safety Commitments, a new set of safety guidelines and development outcomes for the technology. They revealed the commitments on Tuesday, as two days of talks on AI were set to begin at the AI Seoul Summit in Korea.

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Essential Python Libraries for Data Manipulation

KDnuggets

The must-know Python libraries to improve your data manipulation workflow.

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The Janusian Faces of Generative AI and its Role in Enhancing and Endangering Cybersecurity

Jen Stirrup

I’m attending Commvault’s webinar tomorrow on the topic ‘‘From Threats to Resilience: Leveraging AI for Data Security’ as I am particularly interested in the topic of how generative AI will impact cybersecurity for both good and bad. Just when organisations were starting to catch up with AI… now they need to think specifically about generative AI.

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Get started with AWS Glue Data Quality dynamic rules for ETL pipelines

AWS Big Data

Hundreds of thousands of organizations build data integration pipelines to extract and transform data. They establish data quality rules to ensure the extracted data is of high quality for accurate business decisions. These rules assess the data based on fixed criteria reflecting current business states. However, when the business environment changes, data properties shift, rendering these fixed criteria outdated and causing poor data quality.

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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