Domino Data Lab

AUGUST 10, 2021

Models can predict things before they happen more accurately than humans, such as catastrophic weather events or who is at risk of imminent death in a hospital. As an example, an image recognition model would be trained on one set of images and then tested on a fresh set of images to ensure it will perform as required.

Modeling 64

Modeling IT Risk Management Deep Learning 64

IBM Big Data Hub

JULY 12, 2023

Enterprises are often defined by how they deal with events that are out of their control. Good contingency plans prioritize the risks an organization faces, delegate responsibility to members of the response teams and increase the likelihood that the company will make a full recovery after a negative event.

Risk 40

Risk Cost-Benefit Internet of Things Testing 40

CIO Business Intelligence

FEBRUARY 3, 2023

He says that IT remains largely in-house across helpdesk, data analytics, cybersecurity and development, bar small pockets of outsourced capability for software development and testing, and suggests that business growth hasn’t been the only challenge—not least in the days after Queen Elizabeth II’s death last September.

IT 52

IT Experimentation Scorecard Digital Transformation 52

AWS Big Data

JANUARY 31, 2024

TB distributed across approximately 200 compressed Parquet files Analysis overview Analyzing OPRA Tick History data for Transaction Cost Analysis (TCA) involves scrutinizing market quotes and trades around a specific trade event. TB distributed across approximately 300 compressed Parquet files NBBO – 2.8

Marketing 87

Marketing Analytics Visualization Strategy 87

AWS Big Data

AUGUST 14, 2023

Earlier in their lifecycle, data products may be measured by alternative metrics, including adoption (number of consumers) and level of activity (releases, interaction with consumers, and so on). Availability Management X X. Capacity and Performance Management X X. Incident Management X X.

Management 81

Management Risk Measurement Optimization 81

IBM Big Data Hub

JULY 28, 2023

In response, enterprises have made vulnerability management a key component of their cyber risk management strategies. The vulnerability management lifecycle offers a formal model for effective vulnerability management programs in an ever-changing cyberthreat landscape.

Management 67

Management Metrics Risk Measurement 67

DataRobot Blog

DECEMBER 20, 2022

We’ll then empirically test this assumption based on an example of real estate asset assessment. Monitoring models in production and continuously learning in an automated way, so being prepared for real estate market shifts or unexpected events. Consume Results with DataRobot AI Applications.

Management 59

Management Machine Learning Optimization Modeling 59

DataRobot Blog

MARCH 7, 2023

DataRobot identifies and recommends models that are ready to move into production by automatically testing and comparing thousands of models, while those already in production are continuously monitored to ensure performance and compliance. DATAROBOT LAUNCH EVENT From Vision to Value. For more information, visit [link].

Data-driven 59

Data-driven Machine Learning Experimentation Data Lake 59