Smart Data Collective

FEBRUARY 14, 2023

It’s seemingly compulsory for most developers to build mobile versions of their applications or risk losing millions of potential users. The best part is that many of these web apps are using AI technology to provide the optimal user experience. Many people tend to forget their app updates, which can pose significant risks.

Risk 116

Risk Technology Optimization Machine Learning 116

CIO Business Intelligence

JULY 18, 2023

The market for using GPUs as general-purpose processors (GPGPUs) really opened up in 2009, when OpenGL publisher Khronos Group released Open Computing Language (OpenCL). One is building and running the virtual worlds in which self-driving algorithms are tested without putting anyone at risk. Nvidia gets two bites at this market.

Manufacturing 98

Manufacturing Forecasting Software Marketing 98

BizAcuity

JULY 15, 2022

A few years after the advent of cloud computing solutions (2006), came cryptocurrencies like Bitcoin (2009) and Ethereum which leveraged blockchain to decentralize financial transactions. This also improves resilience over the long run thanks to better risk analysis and management. Industry 5.0

Technology 52

Technology Management IoT Cost-Benefit 52

Smart Data Collective

SEPTEMBER 13, 2022

It was launched as a paid service and went on to add a freemium option in 2009, growing its user base from 85,000 to 450,000 a year. SaaS is clever and allows users to preserve data intelligently without risk of data loss; there is no need to send documents for review, systematic folders, and master documents.

Cost-Benefit 105

Cost-Benefit Data Processing Software Data-driven 105

Domino Data Lab

APRIL 21, 2021

Rules-based fraud detection (top) vs. classification decision tree-based detection (bottom): The risk scoring in the former model is calculated using policy-based, manually crafted rules and their corresponding weights. This is to prevent any information leakage into our test set. 2f%% of the test set." Feature Engineering.

Statistics 69

Statistics Machine Learning Modeling Metrics 69

Domino Data Lab

MAY 8, 2019

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. Given how so much of IT gets driven by concerns about risks and costs, in practice auditability tops the list for many business stakeholders. Ergo, less interpretable.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

The Unofficial Google Data Science Blog

NOVEMBER 17, 2020

For example, consider the following simple example fitting a two-dimensional function to predict if someone will pass the bar exam based just on their GPA (grades) and LSAT (a standardized test) using the public dataset (Wightman, 1998). Curiosities and anomalies in your training and testing data become genuine and sustained loss patterns.

Machine Learning 108

Machine Learning Deep Learning Modeling Interactive 108