Cloudera

NOVEMBER 9, 2018

Reflect back on the recent SingHealth breach in Singapore, in which non-medical personal data of 1.5 Although the hackers did not amend the compromised records, the stolen data – such as patients’ names, national identification numbers, and home addresses – could have been sold to the dark web. Here’s my take on the top three reasons.

IoT 57

IoT Machine Learning Internet of Things Data Collection 57

Cloudera

AUGUST 6, 2018

In recent years, we have heard a great deal about how new and sophisticated understanding of how to interpret the onslaught of data produced in the modern age could help us turn the corner on major social and environmental problems. While we have been using data to improve philanthropy for years, a great deal has changed very quickly.

Machine Learning 50

Machine Learning Internet of Things Cost-Benefit Data-driven 50

Domino Data Lab

MAY 8, 2019

Software engineering made major breakthroughs two decades ago by applying reductionist techniques to project planning and management. For example, common practices for collecting data to build training datasets tend to throw away valuable information along the way. 2018-06-21). ML model interpretability and data visualization.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

O'Reilly on Data

SEPTEMBER 11, 2019

Machine learning, artificial intelligence, data engineering, and architecture are driving the data space. The Strata Data Conferences helped chronicle the birth of big data, as well as the emergence of data science, streaming, and machine learning (ML) as disruptive phenomena. The term “AI,” meanwhile, is No.

IoT 20

IoT Big Data Data Warehouse Uncertainty 20

CIO Business Intelligence

JULY 17, 2023

Sweet delicacies are a kid’s delight, but managing a business this big is no child’s play. management. As a network engineer, I gained hands-on experience, visiting factories, managing the FMS IT help desk, and setting up network connections. Data and cybersecurity issues challenge every IT leader.

IT 82

IT Digital Transformation IoT Internet of Things 82

Smart Data Collective

APRIL 2, 2019

The use of digital and machine learning processes has helped foster a revival among the titans of energy through connecting and modernizing older systems, incorporating innovative technologies, and leveraging data in new ways. When it comes to the management and maintenance of critical assets, handling turnaround processes is often difficult.

Machine Learning 84

Machine Learning Internet of Things Digital Transformation IoT 84

IBM Big Data Hub

FEBRUARY 9, 2024

But the most impactful developments may be those focused on governance, middleware, training techniques and data pipelines that make generative AI more trustworthy , sustainable and accessible, for enterprises and end users alike. iii] “AI models haven’t had that kind of data before.

Cost-Benefit 95

Cost-Benefit Modeling Data-driven Enterprise 95