July, 2023

article thumbnail

AI Image Generation Explained: Techniques, Applications, and Limitations

AltexSoft

Imagine walking through an art exhibition at the renowned Gagosian Gallery , where paintings seem to be a blend of surrealism and lifelike accuracy. One particular piece catches your eye: it depicts a child staring at the viewer with wind-tossed hair, evoking the feel of the Victorian era through its coloring and what appears to be a simple linen dress.

Medical 64
article thumbnail

Data Engineer vs Data Scientist: Which Career to Choose?

Analytics Vidhya

In the world of data, two crucial roles play a significant part in unlocking the power of information: Data Scientists and Data Engineers. But what sets these wizards of data apart? Welcome to the ultimate showdown of Data Scientist vs Data Engineer! In this captivating journey, we’ll explore the distinctive paths these tech titans take […] The post Data Engineer vs Data Scientist: Which Career to Choose?

Insiders

Sign Up for our Newsletter

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

article thumbnail

Polars vs Pandas. Inside an AWS Lambda.

Confessions of a Data Guy

Nothing gives me greater joy than rocking the boat. I take pleasure in finding what people love most in tech and trying to poke holes in it. Everything is sacred. Nothing is sacred. I also enjoy doing simple things, things that have a “real-life” feel to them. I suppose I could be like the others […] The post Polars vs Pandas. Inside an AWS Lambda. appeared first on Confessions of a Data Guy.

AWS 240
article thumbnail

Twitter vs Instagram Threads: two different approaches to throttling

The Pragmatic Engineer

Originally published 6 July 2023 👋 Hi, this is Gergely with a bonus, free issue of the Pragmatic Engineer Newsletter. We cover one out of six topics in today’s subscriber-only The Scoop issue. If you’re not yet a full subscriber, you missed this week’s deep-dive on What a senior engineer is at Big Tech. To get the full issues twice a week, subscribe here.

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

Strategies For A Successful Data Platform Migration

Data Engineering Podcast

Summary All software systems are in a constant state of evolution. This makes it impossible to select a truly future-proof technology stack for your data platform, making an eventual migration inevitable. In this episode Gleb Mezhanskiy and Rob Goretsky share their experiences leading various data platform migrations, and the hard-won lessons that they learned so that you don't have to.

article thumbnail

Data News — mid-2023 popular articles

Christophe Blefari

🧜‍♂️ ( credits ) Hey, this is a mid-2023 edition with some of my favourite articles and the popular articles that have been shared this year in the newsletter. There isn't any fancy calculation on how to find the popular articles. Here how it's done. Every link sent in each newsletter is tracked in 2 ways: when you click on a link it first redirect you to my blog so I know that you've clicked on it it adds ref=blef.fr to the url, so the original articl

Data 130

More Trending

article thumbnail

Getting Started with Amazon SageMaker Ground Truth

Analytics Vidhya

Introduction In this era of Generative Al, data generation is at its peak. Building an accurate machine learning and AI model requires a high-quality dataset. The quality assurance of the dataset is the most critical task, as poor data causes inaccurate analytics and unidentified predictions that can affect the entire repo of any business and […] The post Getting Started with Amazon SageMaker Ground Truth appeared first on Analytics Vidhya.

Datasets 236
article thumbnail

Multivariate Time-Series Prediction with BQML

KDnuggets

Google's BQML can be used to make time series models, and recently it was updated to create multivariate time series models. With the simple code, this article shows how to use it to predict multivariate time series and it can be more powerful than a univariate time series model in this article.

Coding 104
article thumbnail

Building an an Early Stage Startup: Lessons from Akita Software

The Pragmatic Engineer

👋 Hi, this is Gergely with a bonus, free issue of the Pragmatic Engineer Newsletter. In every issue, I cover topics related to Big Tech and startups through the lens of engineering managers and senior engineers. In this article, we cover one out of five topics from today’s subscriber-only deepdive on Advice on how to sell a startup. To get full issues twice a week, subscribe here.

Building 204
article thumbnail

Securely Scaling Big Data Access Controls At Pinterest

Pinterest Engineering

Soam Acharya | Data Engineering Oversight; Keith Regier | Data Privacy Engineering Manager Background Businesses collect many different types of data. Each dataset needs to be securely stored with minimal access granted to ensure they are used appropriately and can easily be located and disposed of when necessary. As businesses grow, so does the variety of these datasets and the complexity of their handling requirements.

article thumbnail

Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.

article thumbnail

Anomaly Detection with Machine Learning Overview

Knowledge Hut

Machine learning for anomaly detection is crucial in identifying unusual patterns or outliers within data. It plays a vital role in cybersecurity, finance, healthcare, and industrial monitoring. By learning from historical data, machine learning algorithms autonomously detect deviations, enabling timely risk mitigation. They excel at identifying subtle anomalies and adapt to changing patterns.

article thumbnail

How ThoughtSpot Partnered with Google Cloud to put AI at the center of BI

ThoughtSpot

At ThoughtSpot, we believe making data accessible to every knowledge worker requires human-centered technology—an analytics experience that bridges the “language” barrier between technology and people. AI is the perfect compliment to search because it empowers organizations to analyze, understand, and act on data. In order to achieve this vision, we knew we’d need to work with some of the best, most innovative technology companies across the modern data stack —companies that put their users fir

article thumbnail

Modern Overview of the MIT CDOIQ Symposium

The Modern Data Company

Modern Announces Partnership with Data Mesh Pioneers, ThoughtWorks In July, we collaborated with ThoughtWorks at the annual CDOIQ Conference in Cambridge, MA to discuss real-world Data Products implementation and best practices for Data Mesh. The data community, especially CDOs, emphasized the importance of raising awareness and gaining clarity about data products.

article thumbnail

How to design a dbt model from scratch

Towards Data Science

A simple framework for building dbt models that actually get used. When I was researching the Ultimate Guide to dbt , I was shocked by the lack of material around actually building models from scratch. Not the exact steps to take in the tool — that is all covered in innumerable blogs and tutorials. I mean how do you know the right design? How do you make sure your stakeholders will use that model?

article thumbnail

How to Drive Cost Savings, Efficiency Gains, and Sustainability Wins with MES

Speaker: Nikhil Joshi, Founder & President of Snic Solutions

Is your manufacturing operation reaching its efficiency potential? A Manufacturing Execution System (MES) could be the game-changer, helping you reduce waste, cut costs, and lower your carbon footprint. Join Nikhil Joshi, Founder & President of Snic Solutions, in this value-packed webinar as he breaks down how MES can drive operational excellence and sustainability.

article thumbnail

The Pulse: VanMoof files for bankruptcy protection

The Pragmatic Engineer

👋 Hi, this is Gergely with a bonus, free issue of the Pragmatic Engineer Newsletter. We cover one out of six topics in today’s subscriber-only The Pulse issue. If you’re not yet a full subscriber, you missed this week’s deep-dive on Software architect archetypes. To get the full issues, twice a week, subscribe here. Before we start, a small change.

article thumbnail

Building a Rust workspace with Bazel

Tweag

The vast majority of the Rust projects are using Cargo as a build tool. Cargo is great when you are developing and packaging a single Rust library or application, but when it comes to a fast-growing and complex workspace, one could be attracted to the idea of using a more flexible and scalable build system. Here is a nice article elaborating on why Cargo should not be considered as a such a build system.

article thumbnail

The Onion Routing: Everything You Need To Know About the Anonymity Network

Knowledge Hut

Onion Routing is a method of communicating anonymously across a computer network. The layers of encryption that protect messages in an onion network are comparable to the layers of an onion. The encrypted data is sent through a network of "onion routers," or network nodes, each of which "peels" away a single layer to disclose the encrypted data's destination.

article thumbnail

ThoughtSpot for Sheets delivers Generative AI to every knowledge worker

ThoughtSpot

Today we're excited to officially launch AI Explain on ThoughtSpot for Sheets , the ultimate cheat code for data literacy and exploration. AI Explain integrates Google's PaLM 2 LLM, specifically leveraging the Bison model to automatically generate the top data stories for any visualization created with our Sheets extension. If you're not familiar with ThoughtSpot for Sheets, it's ThoughtSpot’s free app plugin for Google Sheets that lets you explore your Sheets data through in

article thumbnail

Improving the Accuracy of Generative AI Systems: A Structured Approach

Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage

When developing a Gen AI application, one of the most significant challenges is improving accuracy. This can be especially difficult when working with a large data corpus, and as the complexity of the task increases. The number of use cases/corner cases that the system is expected to handle essentially explodes. 💥 Anindo Banerjea is here to showcase his significant experience building AI/ML SaaS applications as he walks us through the current problems his company, Civio, is solving.

article thumbnail

Introduction to Statistical Learning, Python Edition: Free Book

KDnuggets

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.

Python 98
article thumbnail

Conscious Decoupling: How Far Is Too Far for Storage, Compute, and the Modern Data Stack?

Towards Data Science

While there is no right answer, there is likely a sweet spot for most organizations’ data platforms. Read on to see where that might be. Photo by Kelly Sikkema on Unsplash Data engineers discovered the benefits of conscious uncoupling around the same time as Gwyneth Paltrow and Chris Martin in 2014. Of course, instead of life partners, engineers were starting to gleefully decouple storage and compute with emerging technologies like Snowflake (2012), Databricks (2013), and BigQuery (2010).

article thumbnail

Introducing the Connect with Confluent Partner Program: Supercharging Customer Growth and Extending the Data Streaming Ecosystem

Confluent

Gain the easiest solution for data streaming and increase data flow to your platform through native integrations with Confluent Cloud and 120+ Kafka connectors.

article thumbnail

Two-Factor Authentication in Scala with Http4s

Rock the JVM

by Herbert Kateu Hey, it’s Daniel here. You’re reading a giant article about a real-life use of the Http4s library. If you want to master the Typelevel Scala libraries (including Http4s) with real-life practice, check out the Typelevel Rite of Passage course, a full-stack project-based course. It’s my biggest and most jam-packed course yet. 1. Introduction This article is a continuation of the authentication methods that were covered in part1.

Scala 92
article thumbnail

The Ultimate Guide To Data-Driven Construction: Optimize Projects, Reduce Risks, & Boost Innovation

Speaker: Donna Laquidara-Carr, PhD, LEED AP, Industry Insights Research Director at Dodge Construction Network

In today’s construction market, owners, construction managers, and contractors must navigate increasing challenges, from cost management to project delays. Fortunately, digital tools now offer valuable insights to help mitigate these risks. However, the sheer volume of tools and the complexity of leveraging their data effectively can be daunting. That’s where data-driven construction comes in.

article thumbnail

Pattern Recognition in Machine Learning [Basics & Examples]

Knowledge Hut

Pattern recognition is a field of computer science that deals with the automatic identification of patterns in data. This can be done by finding regularities in the data, such as correlations or trends, or by identifying specific features in the data. Pattern recognition is used in a wide variety of applications, including Image processing, Speech recognition, Biometrics, Medical diagnosis, and Fraud detection.

article thumbnail

Snowflake’s Performance Optimizations Help ESO Reduce Costs by 60%

Snowflake

ESO is the largest software and data solutions provider to emergency medical services (EMS) agencies and fire departments in the U.S. With a mission to improve community health and public safety through the power of data, ESO makes software that helps save lives. If you call 911 and a fire or medical team responds, it’s likely they’re using ESO software to make sure you get the right help fast.

Medical 92
article thumbnail

Introducing Databricks Assistant, a context-aware AI assistant

databricks

Today, we are excited to announce the public preview of Databricks Assistant, a context-aware AI assistant, available natively in Databricks Notebooks, SQL editor.

SQL 97
article thumbnail

Analyzing Time Series for Pinterest Observability

Pinterest Engineering

Brian Overstreet | Software Engineer, Observability; Humsheen Geo | Software Engineer, Observability Time series is a critical part of Observability at Pinterest, powering 60,000 alerts and 5,000 dashboards. A time series is an identifier with values where the values are associated with a timestamp. Given the widespread use and critical nature of time series, it’s important to give engineers the ability to adequately express what operations to perform on the time series in a readable, understand

article thumbnail

Driving Responsible Innovation: How to Navigate AI Governance & Data Privacy

Speaker: Aindra Misra, Senior Manager, Product Management (Data, ML, and Cloud Infrastructure) at BILL

Join us for an insightful webinar that explores the critical intersection of data privacy and AI governance. In today’s rapidly evolving tech landscape, building robust governance frameworks is essential to fostering innovation while staying compliant with regulations. Our expert speaker, Aindra Misra, will guide you through best practices for ensuring data protection while leveraging AI capabilities.

article thumbnail

Reinforcement Learning: Teaching Computers to Make Optimal Decisions

KDnuggets

Reinforcement learning basics to get your feet wet. Learn the components and key concepts in the reinforcement loading framework: from agents and rewards to value functions, policy, and more.

article thumbnail

Unleashing Data Potential: Chaining Data Products for Powerful Use Cases

The Modern Data Company

In the modern data-driven landscape, organizations are constantly seeking ways to extract valuable insights from their data assets. While individual data products provide significant value, the true potential lies in harnessing the power of interconnected data products. By chaining data products together, organizations can unlock new levels of data-driven decision-making and drive impactful use cases.

article thumbnail

What is Operation Research in Project Management?

Knowledge Hut

In a world of limitless possibilities driven by cutting-edge technology, innovations, and artificial intelligence, businesses can no longer rely on traditional models for opportunities and expansion. While traditional KPIs may still be important to certain aspects of business and economics, current times demand more enduring efforts to match up with the fast-paced environment and business tactics.

Project 98
article thumbnail

Reality – What is it good for?

ArcGIS

Reality for ArcGIS Pro products power countless real-world applications in operational environments, and enable well informed decisions.

IT 98
article thumbnail

What Is Entity Resolution? How It Works & Why It Matters

Entity Resolution Sometimes referred to as data matching or fuzzy matching, entity resolution, is critical for data quality, analytics, graph visualization and AI. Learn what entity resolution is, why it matters, how it works and its benefits. Advanced entity resolution using AI is crucial because it efficiently and easily solves many of today’s data quality and analytics problems.