Remove Data Collection Remove Data-driven Remove IoT Remove Risk
article thumbnail

The Foundations of a Modern Data-Driven Organisation: Change from Within (part 2 of 2)

Cloudera

In my previous blog post, I shared examples of how data provides the foundation for a modern organization to understand and exceed customers’ expectations. Collecting workforce data as a tool for talent management. Collecting workforce data as a tool for talent management. Data enables Innovation & Agility.

article thumbnail

Using Artificial Intelligence to Make Sense of IoT Data

BizAcuity

IoT is basically an exchange of data or information in a connected or interconnected environment. As IoT devices generate large volumes of data, AI is functionally necessary to make sense of this data. As IoT devices generate large volumes of data, AI is functionally necessary to make sense of this data.

IoT 56
Insiders

Sign Up for our Newsletter

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

article thumbnail

AI this Earth Day: Top opportunities to advance sustainability initiatives

IBM Big Data Hub

To drive real change, it’s crucial for individuals, industries, organizations and governments to work together, using data and technology to uncover new opportunities that will help advance sustainability initiatives across the globe. The world is behind on addressing climate change.

IoT 84
article thumbnail

Future Proof: Technology Solves for Business Value

CIO Business Intelligence

In fact, the days of task-driven technology have vanished, replaced by technology as a vehicle for business growth. While enterprise transformation is driven by customer and business needs, technology can be the catalyst for large transformational change. Technology can be a double-edged sword.

article thumbnail

Sustainability trends: 5 issues to watch in 2024

IBM Big Data Hub

These efforts are often driven by stakeholder expectations, regulatory requirements and the recognition that sustainable business practices can improve the bottom line. 2 For example, some are turning to software solutions that can more easily capture, manage and report ESG data. trillion to the global economy by 2050.

article thumbnail

5 Powerful Networking Technologies That Are Disrupted By AI

Smart Data Collective

Networking technologies have been in existence for many decades with a singular purpose – the improvement of data transmission and circulation through the use of information systems. IoT is the technology that enhances communication by connecting network devices and collecting data. Artificial Intelligence.

article thumbnail

8 data strategy mistakes to avoid

CIO Business Intelligence

Organizations can’t afford to mess up their data strategies, because too much is at stake in the digital economy. How enterprises gather, store, cleanse, access, and secure their data can be a major factor in their ability to meet corporate goals. Here are some data strategy mistakes IT leaders would be wise to avoid.