Jet Global
MAY 15, 2020
Tracking real estate industry metrics is crucial to your organization’s success. With current market uncertainty, it’s important to understand and track the benchmarks that drive your firm—industry trends, regulatory changes, new accounting standards, cost and profitability, as well as guidance on cash flows. Ready to learn more?
AWS Big Data
JUNE 27, 2023
Our previous solution offered visualization of key metrics, but point-in-time snapshots produced only in PDF format. In this post, we discuss how we built a solution using QuickSight that delivers real-time visibility of key metrics to public sector recruiters. We can pick what we need, and use what we need with pay-as-you-go pricing.
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O'Reilly on Data
JUNE 15, 2023
If we want prosocial outcomes, we need to design and report on the metrics that explicitly aim for those outcomes and measure the extent to which they have been achieved. The creators of generative AI systems and Large Language Models already have tools for monitoring, modifying, and optimizing them.
Occam's Razor
APRIL 8, 2013
To win in business you need to follow this process: Metrics > Hypothesis > Experiment > Act. We are far too enamored with data collection and reporting the standard metrics we love because others love them because someone else said they were nice so many years ago. That metric is tied to a KPI.
CIO Business Intelligence
APRIL 27, 2023
At this time of dynamic business and market changes, uncertainty, and quickly evolving consumption models for IT infrastructure, every IT executive understands the benefits and necessity of network agility. turn this application off while not in use to increase network optimization by X percent).
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.”
The Unofficial Google Data Science Blog
APRIL 23, 2024
the weight given to Likes in our video recommendation algorithm) while $Y$ is a vector of outcome measures such as different metrics of user experience (e.g., Crucially, it takes into account the uncertainty inherent in our experiments. Here, $X$ is a vector of tuning parameters that control the system's operating characteristics (e.g.
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