Cloudera

SEPTEMBER 29, 2021

Through processing vast amounts of structured and semi-structured data, AI and machine learning enabled effective fraud prevention in real-time on a national scale. . Data can be used to solve many problems faced by governments, and in times of crisis, can even save lives. .

Digital Transformation 81

Digital Transformation Data Governance Data-driven Uncertainty 81

Alation

FEBRUARY 20, 2020

While this requires technology – AI, machine learning, log parsing, natural language processing,metadata management, this technology must be surfaced in a form accessible to business users – the data catalog. The Forrester Wave : Machine Learning Data Catalogs, Q2 2018. A New Market Category.

Machine Learning 52

Machine Learning Marketing Reporting ROI 52

Cloudera

SEPTEMBER 24, 2021

They were using R and Python, with NoSQL and other open source ad hoc data stores, running on small dedicated servers and occasionally for small jobs in the public cloud. Data governance was completely balkanized, if it existed at all. The Well-Governed Hybrid Data Cloud: 2018-today.

Analytics 94

Analytics IoT Cost-Benefit Big Data 94

CIO Business Intelligence

NOVEMBER 9, 2022

One potential solution to this challenge is to deploy self-service analytics, a type of business intelligence (BI) that enables business users to perform queries and generate reports on their own with little or no help from IT or data specialists. But there are right and wrong ways to deploy and use self-service analytics.

Analytics 134

Analytics Slice and Dice Metrics Sales 134

Cloudera

FEBRUARY 11, 2019

The former sees growing investment in data analytics to become data-driven (45% of organizations expect to increase their spending in this area) while the latter is fueled by disruptive technology and the adoption of AI (41% of organizations name it as their game changer). Governing for compliance.

Digital Transformation 57

Digital Transformation Data Governance Data Warehouse Data-driven 57

Domino Data Lab

AUGUST 8, 2019

In this episode I’ll cover themes from Sci Foo and important takeaways that data science teams should be tracking. First and foremost: there’s substantial overlap between what the scientific community is working toward for scholarly infrastructure and some of the current needs of data governance in industry. We did it again.”.

Data Science 71

Data Science Machine Learning Data Governance Statistics 71

DataRobot

DECEMBER 6, 2021

Similarly in 2018, the ECP AI Code of Conduct working group published its Artificial Intelligence Impact Assessment standard, containing nine ethical principles, ten rules of practice, and dozens of self-assessment questions in its checklist. This guide contains dozens of self assessment questions, plus helpful advice on best practices.

Data-driven 52

Data-driven Risk Publishing Risk Management 52

Smarten

SEPTEMBER 6, 2019

With self-serve tools, data discovery and analytics tools are accessible to team members and business users across the enterprise. SSDP or Self-Serve Data Preparation is a crucial component of Advanced Data Discovery. What is SSDP?

Analytics 51

Analytics IT Business Intelligence Testing 51

Alation

JULY 7, 2022

In 2018, American Family Insurance became an Alation customer and I became the product owner for the AmFam catalog program. In the 2010s, the growing scope of the data landscape gave rise to a new profession: the data scientist. degrees in Data Engineering over the past 2 years, while others have expanded existing M.S.

Metadata 52

Metadata Data-driven Insurance Statistics 52

Hurwitz & Associates

JUNE 28, 2018

IBM’s own data practices have served as a model for this approach to enterprise-wide data gathering, data storage, data management and analytics. The aim of this approach is to make data ready for data analytics and AI/ML software. The Role of Best Practices.

Insurance 40

Insurance Data Lake Machine Learning Enterprise 40

Alation

FEBRUARY 13, 2020

As a result, self-service analytics users instantly know whether the data asset or query logic they’re looking at is trustworthy or not. Alation’s TrustCheck technology enables a new and modern approach to agile data governance. I had the pleasure of chatting with Peter Burris of theCUBE about all things TrustCheck.

Dashboards 52

Dashboards Data-driven Visualization Data Quality 52