Smart Data Collective

FEBRUARY 14, 2020

A recent arrest in Britain highlights how vulnerable our privacy is in the age of big data. Big Data Privacy Risks Are Growing and Anyone Can Access It. The money was then traced to companies in Germany and New Zealand, which were responsible for hosting the data. Understanding Privacy Risks.

Big Data 101

Big Data Reporting Risk Advertising 101

Sisense

JULY 23, 2021

Not only does it support the successful planning and delivery of each edition of the Games, but it also helps each successive OCOG to develop its own vision, to understand how a host city and its citizens can benefit from the long-lasting impact and legacy of the Games, and to manage the opportunities and risks created.

Unstructured Data 105

Unstructured Data Internet of Things Data-driven Data Processing 105

O'Reilly on Data

MARCH 31, 2020

But there’s a host of new challenges when it comes to managing AI projects: more unknowns, non-deterministic outcomes, new infrastructures, new processes and new tools. Measurement, tracking, and logging is less of a priority in enterprise software. These companies eventually moved beyond using data to inform product design decisions.

Management 332

Management Machine Learning Experimentation Metrics 332

AWS Big Data

MARCH 26, 2024

In this post, we discuss how you can use purpose-built AWS services to create an end-to-end data strategy for C360 to unify and govern customer data that address these challenges. We recommend building your data strategy around five pillars of C360, as shown in the following figure.

Data Strategy 66

Data Strategy Strategy Data Warehouse Prescriptive Analytics 66

Domino Data Lab

MAY 8, 2019

The lens of reductionism and an overemphasis on engineering becomes an Achilles heel for data science work. Instead, consider a “full stack” tracing from the point of data collection all the way out through inference. Let’s look through some antidotes. Machine learning model interpretability. Ergo, less interpretable.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

Smart Data Collective

OCTOBER 26, 2019

In the event of a network shutdown or failure, it may take much longer to restore functionality (and therefore connection) to a cloud-hosted off-site backup. Having a physical off-site backup is a much better redundancy measure. However, reasonable is a subjective measure. Big Data Storage Concerns.

Big Data 45

Big Data Data Lake Cost-Benefit Measurement 45

Andrew White

JANUARY 9, 2022

On Thursday January 6th I hosted Gartner’s 2022 Leadership Vision for Data and Analytics webinar. First, how we measure emissions and carbon footprint is about data design and policy. In other words, D&A plays a key role in the foundational measuring angle.

Analytics 64

Analytics Measurement Modeling Data-driven 64

IBM Big Data Hub

NOVEMBER 14, 2023

A value exchange system built on data products can drive business growth for your organization and gain competitive advantage. This growth could be internal cost effectiveness, stronger risk compliance, increasing the economic value of a partner ecosystem, or through new revenue streams.

Strategy 111

Strategy Cost-Benefit Data-driven Measurement 111

CIO Business Intelligence

AUGUST 15, 2023

A risk-limiting audit (RLA) is one audit type used for election verification. In increasingly politicized times, easily performing RLAs can provide a measure of confidence to the interested voter that elections are being run properly.” The company expects 60% growth to its waterpark-themed resorts in the next three years.

IT 97

IT Manufacturing IoT Cost-Benefit 97

Smart Data Collective

AUGUST 4, 2022

An article in HR Voices titled Data Analytics in HR: Impacting the Future of Performance Management underscores some of the benefits. The authors state that data analytics saves managers time and reduces the risk of inadvertent bias.

Data-driven 130

Data-driven Metrics Software Data Collection 130

IBM Big Data Hub

SEPTEMBER 7, 2023

It has an end-to-end process for building and testing foundation models and generative AI — starting with data collection and ending in control points for tracking the responsible deployments of models and applications — focused on governance, risk assessment, bias mitigation and compliance.

Modeling 105

Modeling Risk Unstructured Data Enterprise 105

Jet Global

MAY 1, 2023

Manage compliance through up-to-the-minute performance measures, workflow automation, and essential regulatory reports. CFO Priorities Manage expenses and cash flow Enable profitable growth Contain risk Plan for the future Connect the Dots Do the math. Let’s just give our customers access to the data.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

Cloudera

JUNE 6, 2019

The typical Cloudera Enterprise Data Hub Cluster starts with a few dozen nodes in the customer’s datacenter hosting a variety of distributed services. Over time, workloads start processing more data, tenants start onboarding more workloads, and administrators (admins) start onboarding more tenants. 3) By workload priority.

Metadata 86

Metadata Data Lake Optimization Strategy 86

IBM Big Data Hub

MARCH 20, 2024

Moreover, a public cloud model enables companies to automatically scale compute and storage resources up or down (along with data security measures and services) to meet their individual needs. In a public cloud computing model, a cloud service provider (CSP) owns and operates vast physical data centers that run client workloads.

Internet of Things 97

Internet of Things Cost-Benefit Data Processing IoT 97