O'Reilly on Data

DECEMBER 12, 2019

1] This includes C-suite executives, front-line data scientists, and risk, legal, and compliance personnel. These recommendations are based on our experience, both as a data scientist and as a lawyer, focused on managing the risks of deploying ML. That’s where model debugging comes in. Sensitivity analysis. Residual analysis.

Machine Learning 198

Machine Learning Modeling Testing Risk Management 198

CIO Business Intelligence

NOVEMBER 1, 2023

“You might think we should take the chance for full greenfield, but we don’t want to risk implementing too much unproven technology. The cloud journey completed Even before the system landscape is changed, Volvo Cars has made its cloud journey — one of the big, ongoing programs when Altehed started his role in 2019. “We

Software 123

Software Testing Digital Transformation Manufacturing 123

Smart Data Collective

DECEMBER 18, 2020

Hackers have turned to exploiting website optimization platform Google Analytics to steal credit cards, passwords, IP addresses and a whole host of compromising information that can be shared by hacked sites. The collected data is encrypted and sent using the Google Analytics Measurement Protocol,” the Kaspersky report notes. .

Analytics 83

Analytics Broadcasting Measurement Data Processing 83

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. That’s a risk in case, say, legislators – who don’t understand the nuances of machine learning – attempt to define a single meaning of the word interpret. Let’s look through some antidotes.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 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 339

Management Machine Learning Experimentation Metrics 339

Domino Data Lab

JUNE 2, 2019

Ludwig (@RandiRLudwig) May 23, 2019. Ludwig (@RandiRLudwig) May 24, 2019. Trying to dissect a model to divine an interpretation of its results is a good way to throw away much of the crucial information – especially about non-automated inputs and decisions going into our workflows – that will be required to mitigate existential risk.

Data-driven 110

Data-driven Data Science Machine Learning Modeling 110

Smart Data Collective

DECEMBER 13, 2019

Warren Buffet warns that cybercrime is “the number one problem with mankind,” and given the high number of data breaches that occurred in 2019, data-centric security should be at the forefront of everybody’s (and every business’) mind. Emphasize Protection for Risk Points. What is Data-Centric Cybersecurity? Watch Your Data.

Insurance 53

Insurance Risk Data Processing IT 53

CDW Research Hub

OCTOBER 23, 2019

Capital One made world news waves on July 19, 2019, when it was reported they had suffered a security breach that resulted in the loss of 30GB of data. This data loss affected 106 million people in North America and included data submitted on credit card applications from 2005 to early 2019. When you’re not the first to know.

Risk 40

Risk Software Testing Management 40

datapine

FEBRUARY 23, 2023

In our example above, we are showing Revenue by Payment Method for all of 2019. They are great for displaying a single value/measure within a quantitative context, such as to the previous period or to a target value. With a table, you can display a large number of precise measures and dimensions.

Visualization 177

Visualization Dashboards Sales Measurement 177

CIO Business Intelligence

JUNE 13, 2024

Guardians are enlisted members of the US Space Force, a service created under the DAF umbrella in 2019. Not instant perfection The NIPRGPT experiment is an opportunity to conduct real-world testing, measuring generative AI’s computational efficiency, resource utilization, and security compliance to understand its practical applications.

Testing 82

Testing Experimentation Data Processing Modeling 82

Domino Data Lab

APRIL 3, 2019

Data governance shows up as the fourth-most-popular kind of solution that enterprise teams were adopting or evaluating during 2019. Also, while surveying the literature two key drivers stood out: Risk management is the thin-edge-of-the-wedge ?for Rinse, lather, repeat. Those are table stakes in this game. a second priority?at

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

Andrew White

JANUARY 11, 2021

On January 4th I had the pleasure of hosting a webinar. Some data is more a risk than valuable. Risk Management (most likely within context of governance). measuring value, prioritizing (where to start), and data literacy? See: Use Infonomics to Quantify Data Monetization Risks and Establish a Data Security Budget.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

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. It will help to eliminate some of the development risks.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

CIO Business Intelligence

APRIL 12, 2022

Even though Nvidia’s $40 billion bid to shake up enterprise computing by acquiring chip designer ARM has fallen apart, the merger and acquisition (M&A) boom of 2021 looks set to continue in 2022, perhaps matching the peaks of 2015, according to a report from risk management advisor Willis Towers Watson. Precisely is under new ownership.

Technology 141

Technology Enterprise Consulting Software 141