Rocket-Powered Data Science

MARCH 19, 2021

One of the primary drivers for the phenomenal growth in dynamic real-time data analytics today and in the coming decade is the Internet of Things (IoT) and its sibling the Industrial IoT (IIoT). One group has declared , “IoT companies will dominate the 2020s: Prepare your resume!” trillion by 2030.

Internet of Things 259

Internet of Things Analytics IoT Prescriptive Analytics 259

Cloudera

SEPTEMBER 8, 2020

Technology like IoT, edge computing and 5G are changing the face of CSPs. Communication Service Providers (CSPs) are in the middle of a data-driven transformation. The post The Future Of The Telco Industry And Impact Of 5G & IoT – Part 1 appeared first on Cloudera Blog. Telcos have been pumping in over 1.5

IoT 70

IoT Internet of Things B2B Data-driven 70

Smart Data Collective

NOVEMBER 25, 2019

Here are the six trends you should be aware of that will reshape business intelligence in 2020 and throughout the new decade. New Avenues of Data Discovery. New data-collection technologies , like internet of things (IoT) devices, are providing businesses with vast banks of minute-to-minute data unlike anything collected before.

Business Intelligence 102

Business Intelligence Predictive Analytics Data Collection Internet of Things 102

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. External Data/Big Data/Data Sharing.

Insurance 59

Insurance Digital Transformation Internet of Things IoT 59

AWS Big Data

NOVEMBER 17, 2023

The scalability and flexible data schema of DynamoDB make it well-suited for a variety of use cases. These include internet-scale web and mobile applications, low-latency metadata stores, high-traffic retail websites, Internet of Things (IoT) and time series data, online gaming, and more.

Visualization 81

Visualization Metadata Testing Internet of Things 81

Rocket-Powered Data Science

JULY 14, 2023

When data science was in its “early days” within businesses, the data scientists mostly worked offline with static sources (like databases or web-based reports) to build and test analytics models for potential deployment in the enterprise. Pure analytics solutions can boost performance all across that data environment.

Analytics 166

Analytics Internet of Things Prescriptive Analytics Data Science 166

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. Stream” itself was No.

IoT 20

IoT Big Data Data Warehouse Uncertainty 20