Cloudera

APRIL 7, 2021

Finally, the connected car, connected home, and connected self are generating an enormous amount of data. These “Internet of Things” (IoT) devices contain sensors that can provide insights into how customers live, work, drive, exercise, sleep, and more. Changing Business Models. Data — Too much and Too little.

Insurance 57

Insurance Analytics Exercises IoT 57

Datavail

SEPTEMBER 17, 2019

While there are a large number of options within the realm of NoSQL databases for big data, MongoDB has the majority market share. S&P Global Market Intelligence data indicates the company experienced 182.1 Turning fast-moving internet of things (IoT) data streams into insight.

Cloud 40

Cloud Azure Big Data Storage 40

Kaseya

MAY 13, 2021

Common cloud functionalities offered by AWS that can help businesses scale and grow include: Networking and content delivery Analytics Migration Database storage Compute power Developer tools Security, identity and compliance Artificial intelligence Customer engagement Internet of Things Desktop and app streaming.

Google Cloud 122

Google Cloud Azure AWS Cloud 122

Actian

AUGUST 19, 2019

IoT devices create plenty of data – much more that you might think. When you multiply this amount of data by the number of devices installed in your company’s IT ecosystem, it is apparent IoT is a truly big data challenge. Why would you move IoT data to the cloud?

IoT 8

IoT Cloud Data Analytics 8

Altexsoft

FEBRUARY 8, 2021

These challenges can be addressed by intelligent management supported by data analytics and business intelligence (BI) that allow for getting insights from available data and making data-informed decisions to support company development. Optimization opportunities offered by analytics.

Business Intelligence 87

Business Intelligence Analytics Analysis Data 87

Altexsoft

NOVEMBER 23, 2021

But this data is all over the place: It lives in the cloud, on social media platforms, in operational systems, and on websites, to name a few. Not to mention that additional sources are constantly being added through new initiatives like big data analytics , cloud-first, and legacy app modernization.

Virtualization 69

Virtualization Tools Data Architecture 69

O'Reilly Media - Ideas

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.

Conference 8

Conference Data Data Engineering Artificial Inteligence 8

Sunflower Lab

APRIL 2, 2024

Imagine a business world where your decisions are not just guided by past data, they are turbo-charged by insights that peer into the future, giving you a strategic advantage that feels almost unfair. That’s where predictive analytics with Power BI swoops in, taking center stage as a game-changer for CEO decision-making.

Analytics 40

Analytics Machine Learning Artificial Inteligence Analysis 40