Remove Business Intelligence Remove Deep Learning Remove Interactive Remove IoT
article thumbnail

15 best data science bootcamps for boosting your career

CIO Business Intelligence

The course includes instruction in statistics, machine learning, natural language processing, deep learning, Python, and R. Due to the short nature of the course, it’s tailored to those already in the industry who want to learn more about data science or brush up on the latest skills. Remote courses are also available.

article thumbnail

And the winners are…. Congratulations to the Sixth Annual Data Impact Awards winners

Cloudera

Commonwealth Bank of Australia worked with Cloudera to implement a modern data platform with an AI-powered customer decisioning layer that dramatically improves how the bank interacts with its customers. Brian Buntz , Content Director, Iot Institute, Informa, @brian_buntz. Connect Products and Services: Toshiba Memory Corporation .

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

Top 10 IT & Technology Buzzwords You Won’t Be Able To Avoid In 2020

datapine

In business intelligence, we are evolving from static reports on what has already happened to proactive analytics with a live dashboard assisting businesses with more accurate reporting. This feature hierarchy and the filters that model significance in the data, make it possible for the layers to learn from experience.

article thumbnail

Amazon Redshift: Lower price, higher performance

AWS Big Data

At this relatively small scale of 100 GB, queries in this benchmark run on Redshift Serverless in an average of a few seconds, which is representative of what users loading an interactive BI dashboard would expect. Aamer Shah is a Senior Engineer in the Amazon Redshift Service team.

article thumbnail

The Cloud Connection: How Governance Supports Security

Alation

Supports the ability to interact with the actual data and perform analysis on it. They strove to ramp up skills in all manner of predictive modeling, machine learning, AI, or even deep learning. On-premises business intelligence and databases. Parametrization. Pattern Matching. Visual Profiling. Scheduling.