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. Even with good training data and a clear objective metric, it can be difficult to reach accuracy levels sufficient to satisfy end users or upper management.

Management 333

Management Machine Learning Experimentation Metrics 333

datapine

DECEMBER 11, 2019

2019 was a breakthrough year for the SaaS world in many ways. Indeed, according to Bloomberg, public cloud platforms, business services, and applications (SaaS) will all grow at a 9% CAGR (Compound Annual Growth Rate) between 2019 and 2023, and worth $60.36 A Betterbuys report reveals that the specific expenditure in the U.S.

Software 314

Software Cost-Benefit Data Processing Data-driven 314

datapine

SEPTEMBER 16, 2022

Now that you’re sold on the power of data analytics in addition to data-driven BI, it’s time to take your journey a step further by exploring how to effectively communicate vital metrics and insights in a concise, inspiring, and accessible format through the power of visualization. back on every dollar spent. click for book source**.

Visualization 304

Visualization Dashboards Data-driven Statistics 304

Domino Data Lab

MAY 8, 2019

At CMU I joined a panel hosted by Zachary Lipton where someone in the audience asked a question about machine learning model interpretation. If your “performance” metrics are focused on predictive power, then you’ll probably end up with more complex models, and consequently less interpretable ones. Let’s look through some antidotes.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

Andrew White

JANUARY 11, 2021

On January 4th I had the pleasure of hosting a webinar. As with offensive policies, too many firms mistake hygiene metrics such as the number of records cleaned up versus the impact on outcomes as the measure of success, with risk I would wary of the same mistake. How do we verify ROI on data and analytics efforts?

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

Jet Global

MAY 1, 2023

As a result, end users can better view shared metrics (backed by accurate data), which ultimately drives performance. Return on Investment Now we bring it all together to calculate the ROI on embedded analytics. The formula looks like this: ($750k / $250k) = 3, so the ROI is 200 percent. cost reduction).

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52