Remove Analytics Technologies Remove Data-driven Remove Deep Learning
article thumbnail

Become More Data-Driven by Evolving Analytics Workloads

CIO Business Intelligence

Data-driven organizations understand that data, when analyzed, is a strategic asset. Organizations are expected to experience 30-40% data growth annually , which creates greater data protection responsibility and increases the data management burden. Cloudera and Dell Technologies for More Data Insights.

article thumbnail

The Reason Many AI and Analytics Projects Fail—and How to Make Sure Yours Doesn’t

CIO Business Intelligence

Topping the list of executive priorities for 2023—a year heralded by escalating economic woes and climate risks—is the need for data driven insights to propel efficiency, resiliency, and other key initiatives. Many companies have been experimenting with advanced analytics and artificial intelligence (AI) to fill this need.

Analytics 137
Insiders

Sign Up for our Newsletter

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

article thumbnail

Your 5-Step Journey from Analytics to AI

CIO Business Intelligence

Most organizations have come to understand the importance of being data-driven. To compete in a digital economy, it’s essential to base decisions and actions on accurate data, both real-time and historical. But the sheer volume of the world’s data is expected to nearly triple between 2020 and 2025 to a whopping 180 zettabytes.

Analytics 115
article thumbnail

Digital Twin Use Races Ahead at McLaren Group

CIO Business Intelligence

The company is applying winning insights from rapid, data-driven, evolutionary models versus relying on engine speed and aerodynamics alone to win races. Like professional basketball, industrial-scale farming, national politics, and global merchandising, auto racing has become a data science. Using Data to Generate Simulations.

article thumbnail

Making Remarkable Energy Grids a Reality

CIO Business Intelligence

These changes bring new challenges, but advancements in IT automation, artificial intelligence (AI) and machine learning (ML), and edge-computing capabilities will play a key role. To control and harness technology’s potential, utilities will require OT modernization to leverage vast amounts of real-time data.

article thumbnail

Generate More Value from Data with AI Services

CIO Business Intelligence

Converge Technology Solutions helps its client generate real value from data by building custom AI solutions with Dell infrastructure. For example, Converge worked with an international bank to create AI-driven search incorporating natural language processing to help staff find resources they need easier and faster.

article thumbnail

How the Sports and Entertainment Industry Is Reinventing the Fan Experience and Enhancing Revenues with Computer Vision

CIO Business Intelligence

Data-driven venues from sporting events and concerts to other live events are helping to bolster the entertainment industry while simultaneously helping to ensure a safer environment for all. . It all boils down to using data efficiently. at the edge rather than the data center ?