Smart Data Collective

NOVEMBER 4, 2021

A GPS can help us reach our destination, but it can also compromise our privacy. These privacy advocate argue that it should be treated as personal data of the owner of the same vehicle and decide what purpose it should be used for. It provides great value for companies and consumers alike.

Optimization 124

Optimization Big Data Cost-Benefit Manufacturing 124

IBM Big Data Hub

FEBRUARY 22, 2024

We strongly believe the influx of data associated with AI will fuel tremendous business innovations, but requires strategic considerations, including around where data resides, data privacy, resilience, operational controls, regulatory requirements and compliance, and certifications.

Enterprise 73

Enterprise Risk Data Processing Business Driver 73

CIO Business Intelligence

SEPTEMBER 11, 2023

They include worries about data security, data privacy, control over data, compliance and regulations, and data availability and reliability. The Multi-Cloud Maturity Index , a global survey of nearly 6,000 CIOs, CISOs, and CTOs conducted by Vanson Bourne, found that 95% consider data sovereignty a concern.

Consulting 104

Consulting Management Enterprise Optimization 104

erwin

MARCH 28, 2019

s General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA) are requiring businesses across industries to think about their compliance efforts. Data is now considered more valuable than oil and industries across the board are seeing digital transformation en masse. Business Process Modeling Use Cases.

Modeling 71

Modeling Digital Transformation Cost-Benefit Visualization 71

IBM Big Data Hub

JANUARY 17, 2024

Whether shopping online or saving valuable trade secrets to disk, we can thank cryptography for any semblance of privacy we may have. Asymmetric encryption Asymmetric en cryption , also known as public-key encryption, uses a pair of keys—a public key and a private key.

Data Integration 81

Data Integration Management Consulting Dashboards 81

Domino Data Lab

AUGUST 8, 2019

If the field of data science had matured for over a decade, with tens of thousands of super-smart people flooding into highly sought data science roles, how did those kind of data blunders happen en masse? For example, notions in the industry about privacy versus utility are distorted. Probably so.

Data Science 71

Data Science Machine Learning Data Governance Statistics 71

Data Science 101

NOVEMBER 13, 2023

Data Protection / Legal / Privacy – now with the first two above – this will be important Sustainable tech (solar, energy, agriculture etc) Automomous Vehicles / Robotics / weapons What question do you wish I would have asked?

B2B 59

B2B Modeling Deep Learning Dashboards 59