CIO Business Intelligence

APRIL 12, 2024

These roles include data scientist, machine learning engineer, software engineer, research scientist, full-stack developer, deep learning engineer, software architect, and field programmable gate array (FPGA) engineer. It is used to execute and improve machine learning tasks such as NLP, computer vision, and deep learning.

Deep Learning 122

Deep Learning IT Machine Learning IoT 122

CIO Business Intelligence

OCTOBER 11, 2022

Our ambition is finding a way to take these amazing capabilities we’ve built in different areas and connect them, using AI and machine learning, to drive huge scale across the ecosystem,” Kaur said. We have reduced the lead time to start a machine learning project from months to hours,” Kaur said. AstraZeneca.

Machine Learning 144

Machine Learning Data-driven Testing Data Science 144

Domino Data Lab

JULY 1, 2021

In this blog post we present the Named Entity Recognition problem and show how a BiLSTM-CRF model can be fitted using a freely available annotated corpus and Keras. The model achieves relatively high accuracy and all data and code is freely available in the article. How to build a statistical Named Entity Recognition (NER) model.

Modeling 111

Modeling Statistics Testing Metrics 111

Jen Stirrup

FEBRUARY 1, 2023

The effects of AI will be magnified in the coming decade as manufacturing, retailing, transportation, finance, health care, law, advertising, insurance, entertainment, education, and virtually every other industry transform their core processes and business models to take advantage of machine learning.

Recreation/Entertainment 63

Recreation/Entertainment Testing Advertising Insurance 63

CIO Business Intelligence

JULY 18, 2023

Along the way, other uses for the parallel-processing capabilities of Nvidia’s graphical processing units (GPUs) emerged, solving problems with a similar matrix arithmetic structure to 3D-graphics modelling. Some of those models are truly gargantuan: OpenAI’s GPT-4 is said to have over 1 trillion parameters.

Manufacturing 92

Manufacturing Forecasting Software Marketing 92

IBM Big Data Hub

FEBRUARY 6, 2024

Today, these three cloud architecture models are not mutually exclusive; instead, they work in concert to create a hybrid multicloud—an IT infrastructure model that uses a mix of computing environments (e.g., on-premises, private cloud, public cloud, edge) with public cloud services from more than one provider.

Cost-Benefit 101

Cost-Benefit Digital Transformation Software Modeling 101

Occam's Razor

MARCH 23, 2021

A key part of how this manifested in our work was doing truly super-advanced machine-learning powered analysis to answer hard questions that few can successfully. The first component is a gloriously scaled global creative pre-testing program. Matched market tests. From 2006: Is Real-Time Analytics Really Relevant? ).

Analytics 131

Analytics Scorecard Strategy Testing 131