Information Governance Perspectives

MAY 21, 2020

via Beyond Unicorns: Educating, Classifying, and Certifying Business Data Scientists · Harvard Data Science Review Abstract There is increasing recognition that the data scientist ‘unicorn’—one who can master all the necessary skills of data science required by businesses—exists only rarely, if at all.

Data science 59

Data science Education 59

IG Guru

MAY 14, 2020

The post University of Michigan “Data Science Ethics” 4-Week Course Offered for Free via Coursera appeared first on IG GURU. This course is offered for free on Coursera.

Data science 74

Data science Artificial Intelligence Big data Education 74

Information Governance Perspectives

DECEMBER 3, 2018

Markus Lindelow leads the IG and Content Classification Practice Group at Iron Mountain, the world's largest information management company, where he’s been pioneering breakthrough analytic techniques for over decade.

Analytics 49

Analytics Data science Big data Metadata 49

Information Governance Perspectives

DECEMBER 3, 2018

Markus Lindelow leads the IG and Content Classification Practice Group at Iron Mountain, the world's largest information management company, where he’s been pioneering breakthrough analytic techniques for over decade.

Analytics 40

Analytics Data science Big data Metadata 40

Information is Currency

FEBRUARY 17, 2017

Companies Still Struggle With Information Governance, Survey Finds. Despite years of talking about information governance and compliance, less than half of companies surveyed have a compliance culture — and many companies apparently have no governance strategy at all. Location data revealed.

MDM 40

MDM Big data Information governance Analytics 40

eDiscovery Daily

FEBRUARY 4, 2020

There are several interesting sessions today related to eDiscovery, Information Governance, Cybersecurity and Data Privacy. Leveraging Technology for Information Governance and Data Privacy. Key takeaways: Cutting-edge LegalTech tools that can classify data, build data maps, and lower data storage costs.

e-Discovery 59

e-Discovery Data Privacy Blockchain Privacy 59

Collibra

OCTOBER 14, 2021

As a result, organizations lack an enterprise data quality foundation to respond to regulatory, analytics, and AI demands in a scalable and cost-efficient way. Making sure data is of a high quality involves rules. An intelligent data quality system can evolve rules on-the-fly. Lots and lots of rules.

Analytics 52

Analytics Government Compliance Data science 52