Dataconomy

APRIL 3, 2025

He spearheads innovations in distributed systems, big-data pipelines, and social media advertising technologies, shaping the future of marketing globally. In 2015, seeking greater challenges, he transitioned to the marketing technology domain, marking a pivotal career shift. His work today reflects this vision.

Big Data 91

Big Data Big Data Machine Learning Machine Learning 91

AWS Machine Learning Blog

OCTOBER 23, 2024

Data retrieval and augmentation – When a query is initiated, the Vector Database Snap Pack retrieves relevant vectors from OpenSearch Service using similarity search algorithms to match the query with stored vectors. The retrieved vectors augment the initial query with context-specific enterprise data, enhancing its relevance.

AI 71

AI AI AWS Database 71

IBM Journey to AI blog

AUGUST 11, 2023

Machine learning (ML), a subset of artificial intelligence (AI), is an important piece of data-driven innovation. Machine learning engineers take massive datasets and use statistical methods to create algorithms that are trained to find patterns and uncover key insights in data mining projects. What is MLOps?

Data Science 68

Data Science Machine Learning Machine Learning ML 68

Flipboard

NOVEMBER 24, 2023

Iris was designed to use machine learning (ML) algorithms to predict the next steps in building a data pipeline. His entrepreneurial journey began with his college startup, STAK, which was later acquired by Carvertise with Aaron contributing significantly to their recognition as Tech Startup of the Year 2015 in Delaware.

Database 156

Database AWS ETL SQL 156

DataRobot Blog

APRIL 1, 2018

Today’s data management and analytics products have infused artificial intelligence (AI) and machine learning (ML) algorithms into their core capabilities. These modern tools will auto-profile the data, detect joins and overlaps, and offer recommendations. 2) Line of business is taking a more active role in data projects.

Analytics 40

Analytics Analytics Data Preparation Augmented Analytics 40

Pickl AI

JULY 3, 2023

It frequently requires the use of specialised software and tools to aid in the gathering and analysis of data from many different places such as spreadsheets, tables of information, and enterprise systems. billion in 2015 and reached around $26.50 billion in 2021. What Does a BI Developer Do?

Business Intelligence 52

Business Intelligence Business Intelligence SQL Data Visualization 52

Snorkel AI

JUNE 22, 2023

We were ultimately acquired about six-and-a -half years ago now, at the very end of 2015. But a lot of what we’re talking about here is trying to build data pipelines that are going to run. The last few years have been something of a scaling journey. That’s easy and uses contextual-based anomaly approaches.

Data Quality 52

Data Quality ML ML AI 52