Sat.Nov 16, 2024 - Fri.Nov 22, 2024

article thumbnail

Unbundling the Graph in GraphRAG

O'Reilly on Data

One popular term encountered in generative AI practice is retrieval-augmented generation (RAG). Reasons for using RAG are clear: large language models (LLMs), which are effectively syntax engines, tend to “hallucinate” by inventing answers from pieces of their training data. The haphazard results may be entertaining, although not quite based in fact.

article thumbnail

3 Ways to Use GPT 4o Like a Pro with Canvas

Analytics Vidhya

Most of us today use ChatGPT for creating content, doing research, and a number of other daily tasks. Did you know you can now get more contextual responses and edit specific parts of the content on ChatGPT? Yes, this is now possible with the Canvas integration on OpenAI’s GPT-4o model. GPT-4o with Canvas lets you […] The post 3 Ways to Use GPT 4o Like a Pro with Canvas appeared first on Analytics Vidhya.

Modeling 271
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

CIOs contend with gen AI growing pains

CIO Business Intelligence

The road ahead for IT leaders in turning the promise of generative AI into business value remains steep and daunting, but the key components of the gen AI roadmap — data, platform, and skills — are evolving and becoming better defined. That was the key takeaway from the “What’s Next for GenAI in Business” panel at last week’s Big.AI@MIT event, moderated by Lan Guan, CAIO at Accenture.

article thumbnail

Bigeye Enable Monitoring, Quality and Lineage of Data

David Menninger's Analyst Perspectives

I previously explained that data observability software has become a critical component of data-driven decision-making. Data observability addresses one of the most significant impediments to generating value from data by providing an environment for monitoring the quality and reliability of data on a continual basis. Maintaining quality and trust is a perennial data management challenge, the importance of which has come into sharper focus in recent years thanks to the rise of artificial intelli

article thumbnail

Activating Intent Data for Sales and Marketing

Sales and marketing leaders have reached a tipping point when it comes to using intent data — and they’re not looking back. More than half of all B2B marketers are already using intent data to increase sales, and Gartner predicts this figure will grow to 70 percent. The reason is clear: intent can provide you with massive amounts of data that reveal sales opportunities earlier than ever before.

article thumbnail

Data Errors in Financial Services: Addressing the Real Cost of Poor Data Quality

TDAN

Data quality issues continue to plague financial services organizations, resulting in costly fines, operational inefficiencies, and damage to reputations. Even industry leaders like Charles Schwab and Citibank have been severely impacted by poor data management, revealing the urgent need for more effective data quality processes across the sector.

article thumbnail

Tencent Hunyuan3D-1.0: 3D Modeling with AI-Driven Speed and Precision

Analytics Vidhya

Introducing Hunyuan3D-1.0, a game-changer in the world of 3D asset creation. Imagine generating high-quality 3D models in under 10 seconds—no more long waits or cumbersome processes. This innovative tool combines cutting-edge AI and a two-stage framework to create realistic, multi-view images before transforming them into precise, high-fidelity 3D assets.

Modeling 291

More Trending

article thumbnail

10 Python Libraries Every Data Analyst Should Know

KDnuggets

Interested in data analytics? Here's a list of Python libraries you cannot do without.

article thumbnail

Introducing generative AI upgrades for Apache Spark in AWS Glue (preview)

AWS Big Data

Organizations run millions of Apache Spark applications each month on AWS, moving, processing, and preparing data for analytics and machine learning. As these applications age, keeping them secure and efficient becomes increasingly challenging. Data practitioners need to upgrade to the latest Spark releases to benefit from performance improvements, new features, bug fixes, and security enhancements.

article thumbnail

Using Maskformer for Images With Overlapping Objects

Analytics Vidhya

Image segmentation is another popular computer vision task that has applications with different models. Its usefulness across different industries and fields has allowed for more research and improvements. Maskformer is part of another revolution of image segmentation, using its mask attention mechanism to detect objects that overlap their bounding boxes.

Modeling 270
article thumbnail

Agentic AI design: An architectural case study

CIO Business Intelligence

From obscurity to ubiquity, the rise of large language models (LLMs) is a testament to rapid technological advancement. Just a few short years ago, models like GPT-1 (2018) and GPT-2 (2019) barely registered a blip on anyone’s tech radar. But with the advent of GPT-3 in 2020, LLMs exploded onto the scene, captivating the world’s attention and forever altering the landscape of artificial intelligence (AI), and in the process, becoming an essential part of our everyday computing lives.

Testing 135
article thumbnail

Revolutionize QA: GAPs AI-Driven Accelerators for Smarter, Faster Testing

GAP's AI-Driven QA Accelerators revolutionize software testing by automating repetitive tasks and enhancing test coverage. From generating test cases and Cypress code to AI-powered code reviews and detailed defect reports, our platform streamlines QA processes, saving time and resources. Accelerate API testing with Pytest-based cases and boost accuracy while reducing human error.

article thumbnail

5 Essential Resources for Learning R

KDnuggets

Learn R from top institutions like Harvard, Stanford, and Codecademy.

128
128
article thumbnail

Accelerate your data workflows with Amazon Redshift Data API persistent sessions

AWS Big Data

Amazon Redshift is a fast, scalable, secure, and fully managed cloud data warehouse that you can use to analyze your data at scale. Tens of thousands of customers use Amazon Redshift to process exabytes of data to power their analytical workloads.The Amazon Redshift Data API simplifies programmatic access to Amazon Redshift data warehouses by providing a secure HTTP endpoint for executing SQL queries, so that you don’t have to deal with managing drivers, database connections, network configurati

article thumbnail

What is Adaptive Gradient(Adagrad) Optimizer?

Analytics Vidhya

Imagine you’re planting a garden with a variety of plants, each requiring a different amount of water. If you used the same amount of water on all of them every day, some plants would thrive, while others might get overwatered or dry out. In machine learning, a similar challenge exists with gradient descent, where using […] The post What is Adaptive Gradient(Adagrad) Optimizer?

article thumbnail

CIOs view cost management as possible AI value killer

CIO Business Intelligence

CIOs feeling the pressure to deploy successful AI projects have a second concern: that they don’t have the money to pull it off. Ninety percent of CIOs recently surveyed by Gartner say that managing AI costs is limiting their ability to get value from AI. In addition, if CIOs don’t fully understand the cost of scaling generative AI, they could miscalculate by 500% to 1,000%, says Hung LeHong, an analyst focused on executive leadership for digital business at Gartner.

article thumbnail

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.

article thumbnail

7 Advanced SQL Techniques for Data Manipulation in Data Science

KDnuggets

Can SQL be used for advanced data manipulation in data science? It sure can with these seven techniques.

article thumbnail

AWS Glue Data Catalog supports automatic optimization of Apache Iceberg tables through your Amazon VPC

AWS Big Data

The AWS Glue Data Catalog supports automatic table optimization of Apache Iceberg tables, including compaction , snapshots, and orphan data management. The data compaction optimizer constantly monitors table partitions and kicks off the compaction process when the threshold is exceeded for the number of files and file sizes. The Iceberg table compaction process starts and will continue if the table or any of the partitions within the table has more than the configured number of files (default fi

article thumbnail

Image Classification with JAX, Flax, and Optax : A Step-by-Step Guide

Analytics Vidhya

In this tutorial, you will learn how to construct iterate update and train a CNN model using JAX, Flax, and Optax on the MNIST dataset. This tutorial starts from how to set up the environment and preprocess the data to how to define the CNN structure and the final step is to test the model. […] The post Image Classification with JAX, Flax, and Optax : A Step-by-Step Guide appeared first on Analytics Vidhya.

Testing 224
article thumbnail

Microsoft reimagines Fabric with focus on AI

CIO Business Intelligence

Microsoft announced a host of additions to its Microsoft Fabric data analytics platform at Microsoft Ignite 2024 in Chicago on Tuesday, including Fabric Databases. The innovations are part of Microsoft’s reimagining of the pillars of Microsoft Fabric with a focus on providing AI-powered tools for data projects and delivering an open and AI-ready data lake.

Data Lake 118
article thumbnail

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?

article thumbnail

Run Local LLMs with Cortex

KDnuggets

Check out this local AI model manager similar to Ollama, but better.

Modeling 124
article thumbnail

Can AI Help with Regional Nuances in International SEO?

Smart Data Collective

AI is great for helping to improve your SEO strategy, especially when you are trying to reach customers across different regions.

article thumbnail

Top 10 Python Libraries for Data Analysis

Analytics Vidhya

In the era of big data and rapid technological advancement, the ability to analyze and interpret data effectively has become a cornerstone of decision-making and innovation. Python, renowned for its simplicity and versatility, has emerged as the leading programming language for data analysis. Its extensive library ecosystem enables users to seamlessly handle diverse tasks, from […] The post Top 10 Python Libraries for Data Analysis appeared first on Analytics Vidhya.

Big Data 271
article thumbnail

Shortsighted CEOs leave CIOs with increasing tech debt

CIO Business Intelligence

Many organizations are mortgaging their futures by reallocating IT resources from long-term projects to achieve short-term wins, according to a recent survey of CEOs. Two-thirds of CEOs surveyed by the IBM Institute for Business Value acknowledge raiding long-term IT projects to achieve short-term goals. At the same time, the CEOs surveyed see a focus on short-term performance as the top barrier to innovation.

article thumbnail

Predicting the Future of Sales: How AI and Automation Will Revolutionize Strategies

In this exploration, we're diving into predictions about the future of sales. We're talking about a complete shake-up powered by automation and artificial intelligence (AI). These aren't just fancy tools — they're real game-changers. Automation and AI are here to redefine every interaction, making them smarter, faster, and more meaningful. From personalized customer journeys to streamlined sales processes, the goal is to make every moment count, enhancing both efficiency and connection.

article thumbnail

Exploring Ethics and Morality Through Machine Intelligence

KDnuggets

This article examines the challenges of aligning machine behavior with human values, and the role of ethical frameworks in shaping responsible AI.

120
120
article thumbnail

Introducing Point in Time queries and SQL/PPL support in Amazon OpenSearch Serverless

AWS Big Data

Today we announced support for three new features for Amazon OpenSearch Serverless : Point in Time (PIT) search, which enables you to maintain stable sorting for deep pagination in the presence of updates, and Piped Processing Language (PPL) and Structured Query Language (SQL), which give you new ways to query your data. Querying with SQL or PPL is useful if you’re already familiar with the language or want to integrate your domain with an application that uses them.

article thumbnail

Build Agents the Atomic Way!

Analytics Vidhya

AI agents are intelligent programs that perform tasks autonomously, transforming various industries. As AI agents gain popularity, various frameworks have emerged to simplify their development and integration. Atomic Agents is one of the newer entries in this space, designed to be lightweight, modular, and easy to use. Atomic Agents provides a hands-on, transparent approach, allowing […] The post Build Agents the Atomic Way!

Analytics 208
article thumbnail

Banks bet on AI to deliver digital efficiencies

CIO Business Intelligence

In the face of shrinking budgets and rising customer expectations, banks are increasingly relying on AI, according to a recent study by consulting firm Publicis Sapiens. The Global Banking Benchmark Study 2024 , which surveyed more than 1,000 executives from the banking sector worldwide, found that almost a third (32%) of banks’ budgets for customer experience transformation is now spent on AI, machine learning, and generative AI.

article thumbnail

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.

article thumbnail

A Guide to Data Analysis in Python with DuckDB

KDnuggets

Learn how to perform data analysis in Python using DuckDB.

120
120
article thumbnail

Introducing Amazon MWAA micro environments for Apache Airflow

AWS Big Data

Amazon Managed Workflows for Apache Airflow (Amazon MWAA), is a managed Apache Airflow service used to extract business insights across an organization by combining, enriching, and transforming data through a series of tasks called a workflow. It enhances infrastructure security and availability while reducing operational overhead. Today, we’re excited to announce mw1.micro, the latest addition to Amazon MWAA environment classes.

article thumbnail

What is Discretization in Machine Learning?

Analytics Vidhya

Discretization is a fundamental preprocessing technique in data analysis and machine learning, bridging the gap between continuous data and methods designed for discrete inputs. It plays a crucial role in improving data interpretability, optimizing algorithm efficiency, and preparing datasets for tasks like classification and clustering. This article explores data discretisation’s methodologies, benefits, and applications, offering […] The post What is Discretization in Machine Learn

article thumbnail

Top 8 failings in delivering value with generative AI and how to overcome them

CIO Business Intelligence

Generative AI (GenAI) is rapidly emerging as a game changer for enterprises, but turning its potential into measurable value remains a significant challenge. According to a recent IDC study (Future Enterprise Resiliency and Spending Survey, Wave 4, IDC, April 2024), companies are conducting an average of 37 GenAI proofs of concept (POCs), with only five advancing to production.

article thumbnail

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.