bridgei2i

APRIL 28, 2020

A three-time recipient of Gartner’s Annual Thought Leadership award, he’s the originator of the field of Infonomics, which is about evaluating and accounting for data or information as an asset. He’s also the man who coined 3Vs- volume, velocity, and variety now commonly used in defining big data.

Enterprise 103

Enterprise Data Analytics Analytics Forecasting 103

Octopai

MAY 2, 2022

Data analytics ain’t what it used to be. As a data analyst, you’re no longer just providing data analytics services. You’re providing data analytics products. . Today, your business users have the same perspective on data analytics. What are the principles and benefits of DataOps?

Manufacturing 87

Manufacturing Testing Experimentation Data Quality 87

Smart Data Collective

MAY 20, 2019

We’re well past the point of realization that big data and advanced analytics solutions are valuable — just about everyone knows this by now. Big data alone has become a modern staple of nearly every industry from retail to manufacturing, and for good reason.

Analytics 111

Analytics Machine Learning Business Intelligence Big Data 111

CIO Business Intelligence

MAY 16, 2023

It surpasses blockchain and metaverse projects, which are viewed as experimental or in the pilot stage, especially by established enterprises. Big Data collection at scale is increasing across industries, presenting opportunities for companies to develop AI models and leverage insights from that data.

Advertising 100

Advertising Recreation/Entertainment Experimentation Enterprise 100

Sisense

JULY 24, 2019

When the app is first opened, the user may be searching for a specific song that was heard while passing by the neighborhood cafe, or the user may want to be surprised with, let’s say, a song from the new experimental album by a Yemen Reggae folk artist. NLQ can serve both of those experiences using an analytic moment or an exploration mode.

Analytics 89

Analytics Experimentation Metadata Big Data 89

Smart Data Collective

APRIL 23, 2019

Big data is playing a vital role in productivity optimization in virtually every industry. Countless new tools rely on big data to streamline productivity. Big Data Makes Productivity Technology a Thing of the Future. The good news is that new data analytics tools have helped simplify productivity tracking.

Big Data 71

Big Data Measurement Experimentation Reporting 71

Cloudera

AUGUST 2, 2018

A big part of this solution is our new public cloud PaaS product – Cloudera Altus Data Warehouse – that encompasses all the key elements outlined above and takes modern data warehousing to a completely new level.

Data Warehouse 51

Data Warehouse Insurance Experimentation Software 51

DataKitchen

APRIL 13, 2021

DataOps needs a directed graph-based workflow that contains all the data access, integration, model and visualization steps in the data analytic production process. It orchestrates complex pipelines, toolchains, and tests across teams, locations, and data centers. Testing and Data Observability.

Testing 300

Testing Machine Learning Consulting Data Quality 300

AWS Big Data

JULY 20, 2023

The Orca Platform is powered by a state-of-the-art anomaly detection system that uses cutting-edge ML algorithms and big data capabilities to detect potential security threats and alert customers in real time, ensuring maximum security for their cloud environment. Why did Orca choose Apache Iceberg?

Data Lake 89

Data Lake Analytics Snapshot Optimization 89

IBM Big Data Hub

OCTOBER 20, 2023

By exploring data from different perspectives with visualizations, you can identify patterns, connections, insights and relationships within that data and quickly understand large amounts of information. AutoAI automates data preparation, model development, feature engineering and hyperparameter optimization.

Machine Learning 75

Machine Learning Manufacturing Cost-Benefit Deep Learning 75

IBM Big Data Hub

JANUARY 17, 2023

Due to the convergence of events in the data analytics and AI landscape, many organizations are at an inflection point. You can select a hybrid integration strategy that aligns with your organization’s business strategy to meet the needs of your data consumers wanting to access and utilize the data. Start a trial.

Data-driven 56

Data-driven Enterprise Data Governance Prescriptive Analytics 56

AWS Big Data

MARCH 20, 2023

In this post, we share how Poshmark improved CX and accelerated revenue growth by using a real-time analytics solution. High-level challenge: The need for real-time analytics Previous efforts at Poshmark for improving CX through analytics were based on batch processing of analytics data and using it on a daily basis to improve CX.

Analytics 52

Analytics Slice and Dice Data Processing Data Lake 52

AWS Big Data

JUNE 20, 2023

Data scientists can reduce the time spent preparing and copying datasets, and instead focus on data feature engineering, experimentation, and analyzing data at scale. Mikhail specializes in data analytics services.

Data Lake 75

Data Lake Data Science Recreation/Entertainment Experimentation 75

AWS Big Data

OCTOBER 4, 2023

Subscribe workflow with access management – The subscription workflow secures data between producers and consumers to verify only the right data is accessed by the right users for the right purpose, enabling self-service data analytics.

Metadata 104

Metadata Data Lake Publishing Data Governance 104

AWS Big Data

JANUARY 24, 2023

This post explains how to create a design that automatically backs up Amazon Simple Storage Service (Amazon S3), the AWS Glue Data Catalog, and Lake Formation permissions in different Regions and provides backup and restore options for disaster recovery. These mechanisms can be customized for your organization’s processes.

Data Architecture 68

Data Architecture Metadata Data Lake Snapshot 68

O'Reilly on Data

SEPTEMBER 11, 2019

Machine learning, artificial intelligence, data engineering, and architecture are driving the data space. The Strata Data Conferences helped chronicle the birth of big data, as well as the emergence of data science, streaming, and machine learning (ML) as disruptive phenomena. The term “ML” is No.

IoT 20

IoT Big Data Data Warehouse Uncertainty 20

Occam's Razor

DECEMBER 12, 2016

And, most importantly, everything I'll provide to my boss helps her deeply internalizes I am focused 100% on business priorities – rather than random big data sojourns. If you don't have this, ideally signed in blood by your leadership team and you, then you are just messing around with data.

Analytics 141

Analytics Data-driven Strategy Consulting 141

DataRobot

APRIL 29, 2021

This list includes: Rachik Laouar is Head of Data Science for the Adecco Group. Rachik is working to transform that company’s products through data analytics and AI and will be speaking on the topic, Executive Track: Turning an Industry Upside Down. . Eric Weber is Head of Experimentation And Metrics for Yelp.

Machine Learning 59

Machine Learning Experimentation Data-driven Data Science 59

DataRobot Blog

SEPTEMBER 22, 2022

Next week, we’re excited to partner with industry leaders at Big Data & AI Paris, alongside a launch of a dedicated French language microsite. We will be speaking with AI leaders at Big Data & AI Paris 2022 on September 26-27 to share how DataRobot has helped to solve AI and data science challenges in top organizations.

Big Data 52

Big Data Insurance Experimentation Data Science 52

IBM Big Data Hub

SEPTEMBER 25, 2023

Presto was able to achieve this level of scalability by completely separating analytical compute from data storage. Presto is an open source distributed SQL query engine for data analytics and the data lakehouse, designed for running interactive analytic queries against datasets of all sizes, from gigabytes to petabytes.

OLAP 90

OLAP Data Lake Data-driven Snapshot 90