Remove Data Remove Data collection Remove Energy and Utilities Remove Government
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.

article thumbnail

Critical Success Factors to Widespread Deployment of IoT

Thales Cloud Protection & Licensing

Electric grid utilities are deploying smart meters to better correspond to consumers energy demands while lowering costs. To secure data exchanged between IoT devices and the software required for operating these devices – bootstrap, firmware, apps – we need to establish a chain of trust. Tue, 02/16/2021 - 16:33.

IoT 96
Insiders

Sign Up for our Newsletter

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

article thumbnail

The path to embedded sustainability

IBM Big Data Hub

While ESG seeks to provide standard methods and approaches to measuring across environmental, social and governance KPIs, and holds organizations accountable for that performance, sustainability is far broader. One point addressed in our study surrounds the data specific challenges that can come with sustainability.

article thumbnail

The Internet of Things (IoT): Managing the Data Tsunami

Collibra

A tsunami of new data streams offers enormous opportunities in guiding digital transformation strategies across many industries. Yet along that path there will be numerous obstacles to overcome – chiefly related to data privacy and governance. And this proliferation of data streams has only just begun to gain traction.

IoT 56
article thumbnail

How AI Could Write Our Laws

Schneier on Security

Big energy companies expect action whenever there is a move to end drilling leases for federal lands, in exchange for the tens of millions they contribute to congressional reelection campaigns. We should expect these techniques to get better and their utilization to grow, just as we’ve seen in so many other domains.

article thumbnail

Addressing the network data monetization complexities

IBM Big Data Hub

In our previous blog, we identified the three layers to network data monetization. These were the data layer, the analytics layer and the automation layer. To address the network data value tree successfully, we must address the complexities of these three layers, which are essential for automated operations in telco.

article thumbnail

10 manufacturing trends that are changing the industry

IBM Big Data Hub

enables manufacturers to conduct real-time data collection and analysis for vast amounts of data, providing them valuable insights into their operations. Artificial intelligence (AI) One of the most significant benefits of artificial intelligence (AI) in manufacturing is its ability to analyze vast amounts of data in real-time.