This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
The Ten Standard Tools To Develop Data Pipelines In Microsoft Azure. While working in Azure with our customers, we have noticed several standard Azure tools people use to develop data pipelines and ETL or ELT processes. We counted ten ‘standard’ ways to transform and set up batch data pipelines in Microsoft Azure. Is it overkill? Don’t they all do the same thing?
I did some research because I wanted to create a basic framework on the intersection between large language models (LLM) and data management. I will start by saying that I believe LLM holds great promise. But there are also a host of other issues (and cautions) to take into consideration. The technology is very new and not well understood. Most applications are still exploratory.
Dr Setia, also the chairperson of the centre for digital transformation at the business school, teaches graduate-level courses on the leadership of digital organizations, strategic management of digital innovations, and digital transformation. He has previously taught for many years at Michigan State University and the University of Arkansas in the US.
Professionals have come to depend on Excel for its versatile capabilities in various industries, and the financial sector is no exception. With many robust features and diverse operations, Excel provides an excellent platform for financial research, modeling, and calculations. This comprehensive guide aims to explore Excel’s powerful financial functions, shedding light on their significance and […] The post Comprehensive Guide to Financial Functions in Excel appeared first on Analyti
AI adoption is reshaping sales and marketing. But is it delivering real results? We surveyed 1,000+ GTM professionals to find out. The data is clear: AI users report 47% higher productivity and an average of 12 hours saved per week. But leaders say mainstream AI tools still fall short on accuracy and business impact. Download the full report today to see how AI is being used — and where go-to-market professionals think there are gaps and opportunities.
If you’re reading this, chances are you’ve played around with using AI tools like ChatGPT or GitHub Copilot to write code for you. Or even if you haven’t yet, then you’ve at least heard about these tools in your newsfeed over the past year. So far I’ve read a gazillion blog posts about people’s experiences with these AI coding assistance tools. These posts often recount someone trying ChatGPT or Copilot for the first time with a few simple prompts, seeing how it does for some small self-containe
The highly anticipated Python edition of Introduction to Statistical Learning is here. And you can read it for free! Here’s everything you need to know about the book.
Tight budgets and labor shortages have remained an ongoing challenge for IT leaders in 2023. As a result, CIOs are looking at ways of doing more with less, while continuing to digitally transform their organizations. How can we free up funds in one area to invest or innovate in another area of the business? This is especially critical within physical operations – the industries that drive more than 40% of the global GDP – as organizations like ABF Freight and Liberty Energy look for ways to oper
Tight budgets and labor shortages have remained an ongoing challenge for IT leaders in 2023. As a result, CIOs are looking at ways of doing more with less, while continuing to digitally transform their organizations. How can we free up funds in one area to invest or innovate in another area of the business? This is especially critical within physical operations – the industries that drive more than 40% of the global GDP – as organizations like ABF Freight and Liberty Energy look for ways to oper
In a promising development, INDIAai and Meta have come together to establish a powerful collaboration in the realm of artificial intelligence (AI) and emerging technologies. By signing a memorandum of understanding (MoU), the two organizations are set to pool their expertise and resources to make Meta’s open-source AI models accessible. This partnership marks a significant […] The post INDIAai and Meta Join Forces: Paves Way for AI Innovation and Collaboration appeared first on Analy
Apache Flink and Apache Spark are both open-source, distributed data processing frameworks used widely for big data processing and analytics. Spark is known for its ease of use, high-level APIs, and the ability to process large amounts of data. Flink shines in its ability to handle processing of data streams in real-time and low-latency stateful computations.
This is an overview of the "Textbooks Are All You Need" paper, highlighting the Phi-1 model's success using high-quality synthetic textbook data for AI training.
Generative AI (GAI) is at the forefront of nearly everyone’s minds. Consumers want to use it to improve their digital experiences, organizations want to use it to cut costs and be more efficient, and employees are learning how to harness its power to make their jobs easier. As GAI rapidly matures, it’s essential to dream big about its possibilities and be realistic about implementing it strategically and impactfully in ways that can improve your operations.
Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage
When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m
Introduction A highly effective method in machine learning and natural language processing is topic modeling. A corpus of text is an example of a collection of documents. This technique involves finding abstract subjects that appear there. This method highlights the underlying structure of a body of text, bringing to light themes and patterns that might […] The post Unveiling the Future of Text Analysis: Trendy Topic Modeling with BERT appeared first on Analytics Vidhya.
Amazon Redshift is a fully managed, scalable cloud data warehouse that accelerates your time to insights with fast, easy, and secure analytics at scale. Tens of thousands of customers rely on Amazon Redshift to analyze exabytes of data and run complex analytical queries, making it the widely used cloud data warehouse. You can run and scale analytics in seconds on all your data without having to manage your data warehouse infrastructure.
The term neurodiversity covers a range of conditions, as well as the various spectrums within each. So each neurodiverse professional’s experience is unique, but speaking for myself, being neurodiverse has been a huge competitive advantage in my technology career. The ability to pivot fast and hyperfocus are strengths, not weaknesses, and a leader that can do both effectively is an asset, not a liability.
The DHS compliance audit clock is ticking on Zero Trust. Government agencies can no longer ignore or delay their Zero Trust initiatives. During this virtual panel discussion—featuring Kelly Fuller Gordon, Founder and CEO of RisX, Chris Wild, Zero Trust subject matter expert at Zermount, Inc., and Principal of Cybersecurity Practice at Eliassen Group, Trey Gannon—you’ll gain a detailed understanding of the Federal Zero Trust mandate, its requirements, milestones, and deadlines.
Integrating artificial intelligence (AI) into the healthcare industry is becoming increasingly prevalent in an era of technological advancements. Tech giants like Amazon, Google, & Microsoft lead the charge, launching innovative AI-powered solutions to transform patient care & optimize healthcare processes. The latest addition to this AI healthcare race is Amazon Web Services’ HealthScribe, a groundbreaking […] The post Amazon Vs Google Vs Microsoft: The Race to Revolutionize
Big data has driven major changes in the e-commerce sector in recent years. E-commerce brands spent over $16 billion on analytics in 2022 and are projected to spend over $38 billion by 2028. One of the biggest benefits of data analytics is that it can help e-commerce brands optimize their logistics and fulfillment processes. Keep reading to learn more.
Are you interested in Data Science? This blog will help you kickstart or advance your data science career. You'll learn about the most popular programming languages data scientists use to clean, analyze, visualize, and model data.
Companies moving to the cloud often find themselves at a crossroads near the midpoint of their migrations, spending more than they intended and getting less than they hoped. Often that’s because their IT organization isn’t equipped with the culture, mindset, and skills necessary to capitalize on the cloud. Andy Nallappan has had a long career in IT, including CIO roles, but his current job at Broadcom is managing the company’s external cloud platform, DevOps, and SaaS operations across multiple
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.
Introduction Have you ever seen a dataset that contains almost all null values? If so, you are not by yourself. One of the most frequent issues in machine learning is sparse datasets. Several factors, like inadequate surveys, sensor data with missing readings, or text with missing words, can lead to their existence. When trained on […] The post A Comprehensive Guide on ‘How to Deal with Sparse Datasets?
AWS Glue Studio is now integrated with AWS Glue DataBrew. AWS Glue Studio is a graphical interface that makes it easy to create, run, and monitor extract, transform, and load (ETL) jobs in AWS Glue. DataBrew is a visual data preparation tool that enables you to clean and normalize data without writing any code. The over 200 transformations it provides are now available to be used in an AWS Glue Studio visual job.
RAPIDS cuDF, with its pandas-like API, enables data scientists and engineers to quickly tap into the immense potential of parallel computing on GPUs–with just a few code line changes. Read on for more.
ServiceNow is adding new features to its Now Assist generative AI assistant that comes bundled with the company’s Now platform, designed to help organizations automate workflows. The new capabilities of Now Assist, which include case summarization and text-to-code, are compatible with all workflows and are designed to drive productivity and efficiency for organizations, the company said.
ZoomInfo customers aren’t just selling — they’re winning. Revenue teams using our Go-To-Market Intelligence platform grew pipeline by 32%, increased deal sizes by 40%, and booked 55% more meetings. Download this report to see what 11,000+ customers say about our Go-To-Market Intelligence platform and how it impacts their bottom line. The data speaks for itself!
Introduction Language Models take center stage in the fascinating world of Conversational AI, where technology and humans engage in natural conversations. Recently, a remarkable breakthrough called Large Language Models (LLMs) has captured everyone’s attention. Like OpenAI’s impressive GPT-3, LLMs have shown exceptional abilities in understanding and generating human-like text.
Amazon Athena is a serverless, interactive analytics service built on the Trino, PrestoDB, and Apache Spark open-source frameworks. You can use Athena to run SQL queries on petabytes of data stored on Amazon Simple Storage Service (Amazon S3) in widely used formats such as Parquet and open-table formats like Apache Iceberg, Apache Hudi, and Delta Lake.
Over the past three or four years, the industry has been abuzz with the concept of delivering converged security and networking features via the cloud. Secure Access Service Edge combines networking solutions like SD-WAN with cloud-delivered security like firewall as a service (FWaaS), cloud access security broker (CASB), and secure web gateway (SWG).
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.
Multithreading and multiprocessing are fundamental concepts in computer multitasking, enabling concurrent execution of tasks. While both aim to improve system performance, they have distinct characteristics and are suitable for different scenarios. This article will explore multithreading vs. multiprocessing, their advantages, disadvantages, and the factors influencing their use in various programming tasks.
Vendor Management Systems (VMS) have become an indispensable tool for streamlining procurement and fostering strong vendor relationships. With the advent of the Fourth Industrial Revolution, where the lines between physical, digital, and biological spheres are increasingly blurred, a new transformational player has emerged on the VMS scene: Artificial Intelligence (AI).
Max Chan knew he had to do something. Soon after ChatGPT burst on the scene in November 2022, Chan realized generative AI would amount to far more than the just the latest technology flash-in-the-pan. With the ability to instantaneously ingest reams of data using large language models (LLMs), generative AI technologies such as OpenAI’s ChatGPT and Google’s Bard can produce reports, contracts, and application code far surpassing earlier technologies in speed, accuracy, and thoroughness.
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?
We organize all of the trending information in your field so you don't have to. Join 42,000+ users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
Let's personalize your content