CIO Business Intelligence

JULY 17, 2023

To add perspective, since I joined Havmor, the company has grown significantly, but not the workforce, having reduced by 30% compare to our numbers in 2018, thanks to digital innovation and transformation. What are some of the unique data and cybersecurity challenges that Havmor faces as a vast customer-centric business?

IT 98

IT Digital Transformation IoT Internet of Things 98

Sisense

JUNE 9, 2021

Like pretty much everything else in the world, football has become more data-driven than ever, so when the 24 teams set out to win the championship on 11 June , you can bet your bottom Euro that each team’s tactics, formation, and training will be shaped by a mountain of data. We can’t wait!

Analytics 98

Analytics Data-driven Internet of Things Measurement 98

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. Relying on multiple systems and data sources can hinder visibility during projects, field work, and turnarounds.

Machine Learning 83

Machine Learning Internet of Things Digital Transformation IoT 83

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

Domino Data Lab

MAY 8, 2019

For example, common practices for collecting data to build training datasets tend to throw away valuable information along the way. The lens of reductionism and an overemphasis on engineering becomes an Achilles heel for data science work. 2018-06-21). ML model interpretability and data visualization.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

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 56

IoT Machine Learning Internet of Things Data Collection 56

datapine

NOVEMBER 27, 2019

Data exploded and became big. Spreadsheets finally took a backseat to actionable and insightful data visualizations and interactive business dashboards. The rise of self-service analytics democratized the data product chain. 1) Data Quality Management (DQM). We all gained access to the cloud.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

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 110

Cost-Benefit Modeling Data-driven Enterprise 110