erwin

JUNE 11, 2020

Transforming Industries with Data Intelligence. Data intelligence has provided useful and insightful information to numerous markets and industries. With tools such as Artificial Intelligence, Machine Learning, and Data Mining, businesses and organizations can collate and analyze large amounts of data reliably and more efficiently.

Analytics 103

Analytics Blockchain Artificial Intelligence Big data 103

ARMA International

SEPTEMBER 13, 2021

Therefore, in this article the terms “information,” “data,” and “content” are synonymous. The exponential growth in content is fueled by a plethora of connected devices, colloquially called “Internet of Things (IoT),” from cell phones, mobiles, and wearable technologies, to sensors in homes, appliances, cars, and so on. Data Analytics.

Digital transformation 59

Digital transformation Blockchain IT Computer and Electronics 59

Bill Schmarzo - Dell EMC

MARCH 5, 2018

Note: throughout this blog, when I use the term “artificial intelligence,” I mean that to include other advanced analytics such as deep learning, machine learning (supervised, unsupervised, reinforcement), data mining, predictive analytics, and statistics (see Figure 1). Figure 1: The Evolution of AI, ML and DL (Source: Nvidia ).

Artificial Intelligence 111

Artificial Intelligence Analytics Big data Mining 111

Bill Schmarzo - Dell EMC

FEBRUARY 14, 2018

See “ Optimizing the Customer Lifecycle With Customer Insights ” for more details on leveraging big data and data analytics to optimize your customer’s lifecycle. Follow the Customer Summary.

Analytics 40

Analytics Artificial Intelligence Customer Experience Big data 40

Bill Schmarzo - Dell EMC

MARCH 5, 2018

Note: throughout this blog, when I use the term “artificial intelligence,” I mean that to include other advanced analytics such as deep learning, machine learning (supervised, unsupervised, reinforcement), data mining, predictive analytics, and statistics (see Figure 1). Figure 1: The Evolution of AI, ML and DL (Source: Nvidia ).

Artificial Intelligence 40

Artificial Intelligence Analytics Mining Big data 40

IBM Big Data Hub

SEPTEMBER 11, 2023

The ability to ingest hundreds of thousands of rows each second is critical for more and more applications, particularly for mobile computing and the Internet of Things (IoT). This helps remove unnecessary network and infrastructure latencies and reduce cost and security vulnerabilities.

Analytics 86

Analytics Cloud IoT Paper 86

Bill Schmarzo - Dell EMC

JANUARY 29, 2018

As a standard operating practice, football front offices should apply Machine Learning to mine the large body of football game data to identify those “known unknowns” and “unknown unknowns” relationships buried in the data. Trap: Anchoring Basis. However every situation – even ones that mirror previous games – is unique.

Analytics 40

Analytics Risk Data science Big data 40