Remove 2020 Remove IoT Remove Metadata Remove Modeling
article thumbnail

Surviving Radical Disruption with Data Intelligence

erwin

By leveraging the power of the cloud, harnessing data from the Internet of Things (IoT) and other events, and processing this data in near-real time, analytics helps to effectively process the relentless incoming data feed. Now to survive and thrive in the face of radical disruption requires radical transformation and new business models.

article thumbnail

erwin’s Predictions for 2021: Data Relevance Shines at the End of the Tunnel

erwin

Unexpected, unprecedented and disruptive, 2020 required radical transformation – within global organizations and our day-to-day lives. AI-Fueled Data Governance: Artificial intelligence (AI) has been narrowly tied to the internet of things (IoT) with smart features like Alexa, Nest and self-driving cars.

Insiders

Sign Up for our Newsletter

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

Trending Sources

article thumbnail

Minimizing Supply Chain Disruptions with Advanced Analytics

Cloudera

January 2020 is a distant memory, but for most, the early days of the pandemic was a time that will be ingrained in memories for decades, if not generations. Consider that e-commerce’s acceleration due to the pandemic saw retailers’ digital sales penetration realize 10 years of growth in just the first three months of 2020 alone. .

Analytics 109
article thumbnail

5 recommendations to get your data strategy right

IBM Big Data Hub

With technologies like machine learning , artificial intelligence or IoT, the resulting insights are more sophisticated and valuable, especially when woven into your organization’s processes and workflows. Think big, but prioritize and articulate realistic and actionable plans, establishing the right partnership models along the way.

article thumbnail

Announcing the 2021 Data Impact Awards

Cloudera

2020 saw us hosting our first ever fully digital Data Impact Awards ceremony, and it certainly was one of the highlights of our year. Use cases could include but are not limited to: predictive maintenance, log data pipeline optimization, connected vehicles, industrial IoT, fraud detection, patient monitoring, network monitoring, and more.

article thumbnail

Build efficient, cross-Regional, I/O-intensive workloads with Dask on AWS

AWS Big Data

After deployment, the user will have access to a Jupyter notebook, where they can interact with two datasets from ASDI on AWS: Coupled Model Intercomparison Project 6 (CMIP6) and ECMWF ERA5 Reanalysis. The OpenSearch Service domain stores metadata on the datasets connected at the Regions.

article thumbnail

Why We Started the Data Intelligence Project

Alation

In 2013 I joined American Family Insurance as a metadata analyst. I had always been fascinated by how people find, organize, and access information, so a metadata management role after school was a natural choice. The use cases for metadata are boundless, offering opportunities for innovation in every sector.