CIO Business Intelligence

MAY 16, 2022

By capturing visual and sensor data, combining it with other data points and analyzing it all for insights and trends ? This ripple effect coupled with the rapid acceleration of digital transformation is teeing us up for an exciting next inning. It all boils down to using data efficiently. Just starting out with analytics?

Recreation/Entertainment 104

Recreation/Entertainment Broadcasting Cost-Benefit Advertising 104

IBM Big Data Hub

OCTOBER 20, 2023

Artificial intelligence platforms enable individuals to create, evaluate, implement and update machine learning (ML) and deep learning models in a more scalable way. This unified experience optimizes the process of developing and deploying ML models by streamlining workflows for increased efficiency.

Machine Learning 80

Machine Learning Manufacturing Cost-Benefit Deep Learning 80

BizAcuity

MARCH 31, 2022

Marketers also have access to several AI softwares to save time and optimize their work at every step of the funnel. Integrating IoT and route optimization are two other important places that use AI. Predictive analytics, with the help of machine learning, keeps getting more accurate with the continuous inflow of data.

Data Analytics 52

Data Analytics Analytics Prescriptive Analytics Predictive Analytics 52

DataRobot Blog

DECEMBER 20, 2022

In this context, an augmented intelligence approach around the data will be increasingly more critical for asset managers, investors, and real estate developers to ensure a better understanding of the real estate assets and take better decisions aimed at optimizing both the Net Asset Value and the Net Operating Income.

Management 59

Management Machine Learning Optimization Modeling 59

Domino Data Lab

MARCH 3, 2019

O’Reilly Media had an earlier survey about deep learning tools which showed the top three frameworks to be TensorFlow (61% of all respondents), Keras (25%), and PyTorch (20%)—and note that Keras in this case is likely used as an abstraction layer atop TensorFlow. The data types used in deep learning are interesting.

Data Science 49

Data Science Deep Learning Machine Learning Modeling 49

CIO Business Intelligence

SEPTEMBER 6, 2023

With digitization and the increasing use of powerful AI systems, job profiles are changing in production and administration. New digital tools, for example, further enable production employees to optimize processes and quality management in the long term. That’s why qualification is the key to successful transformation.

Digital Transformation 111

Digital Transformation Interactive Machine Learning Deep Learning 111

Domino Data Lab

OCTOBER 14, 2020

We’ve developed a model-driven software platform, called Climate FieldView , that captures, visualizes, and analyzes a vast array of data for farmers and provides new insight and personalized recommendations to maximize crop yield. The introduction of machine learning to the agricultural domain is relatively new. Hyperparameter Tuning.

Experimentation 99

Experimentation Modeling Deep Learning Testing 99