O'Reilly on Data

MARCH 31, 2020

Machine learning adds uncertainty. Underneath this uncertainty lies further uncertainty in the development process itself. There are strategies for dealing with all of this uncertainty–starting with the proverb from the early days of Agile: “ do the simplest thing that could possibly work.”

Management 339

Management Machine Learning Experimentation Metrics 339

Jet Global

OCTOBER 8, 2020

Analysing the necessary data is a massive undertaking, and one that can draw finance professionals away from other tasks. And it’s possible to become lost in the minutiae of the many different metrics available to measure an organisation’s AR capabilities. Tip 3: Make decisions with operational data.

Finance 98

Finance Reporting Forecasting Metrics 98

Andrew White

DECEMBER 16, 2019

After sifting through several year’s worth of formally written data, analytics, and data and analytics strategies, we found about 85% of them did not include a measurable business outcome. See Data and Analytics Strategies Need More-Concrete Metrics of Success. It’s called ROAR.

Uncertainty 40

Uncertainty ROI Metrics Strategy 40

CIO Business Intelligence

JANUARY 4, 2023

It’s a tall order, and one that will hinge on a few factors: Accelerator deployment and management at scale Changes to power and cooling design decisions at very large scale Open-source deployment of high-performance clusters to run simulation, AI, and data analytics workloads What’s New and Growing Among HPC Users?

Cost-Benefit 59

Cost-Benefit Machine Learning Modeling Uncertainty 59

bridgei2i

JULY 8, 2020

This is probably the first time ever that we are witnessing a demand, a supply, and also a resource uncertainty. And if you’re a banker or an insurer, you’re probably busy figuring out how to measure these risks, mobilize these resources, and fund capital that’s going to provide strong growth. These are strange times.

Digital Transformation 132

Digital Transformation Enterprise Insurance Risk 132

Domino Data Lab

JUNE 2, 2019

She had much to say to leaders of data science teams, coming from perspectives of data engineering at scale. And by “scale” I’m referring to what is arguably the largest, most successful data analytics operation in the cloud of any public firm that isn’t a cloud provider. Worse than flipping a coin! Rev 2 wrap up.

Data-driven 110

Data-driven Data Science Machine Learning Modeling 110

Jet Global

FEBRUARY 2, 2023

However, the construction industry includes a plethora of non-financial data points to track – are projects being delivered on time? As a result, measuring success by financials alone isn’t enough for construction and engineering professionals. Metrics track the status of a specific business process. trillion worldwide by 2030.

Uncertainty 52

Uncertainty KPI Reporting Measurement 52