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. Ready to evolve your analytics strategy or improve your data quality?

Recreation/Entertainment 104

Recreation/Entertainment Broadcasting Cost-Benefit Advertising 104

IBM Big Data Hub

FEBRUARY 14, 2024

Promote cross- and up-selling Recommendation engines use consumer behavior data and AI algorithms to help discover data trends to be used in the development of more effective up-selling and cross-selling strategies, resulting in more useful add-on recommendations for customers during checkout for online retailers.

Cost-Benefit 88

Cost-Benefit Insurance Unstructured Data Machine Learning 88

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. Visual modeling: Combine visual data science with open source libraries and notebook-based interfaces on a unified data and AI studio.

Machine Learning 79

Machine Learning Manufacturing Cost-Benefit Deep Learning 79

BizAcuity

MARCH 31, 2022

AI Adoption and Data Strategy. Lack of a solid data strategy. In order to adopt AI solutions for your business, the best way forward is to first ensure that you have a strong data strategy in place. Data strategy allows you to build a roadmap to adopt AI. Worth a read if you are brainstorming on AI strategy.

Data Analytics 52

Data Analytics Analytics Prescriptive Analytics Predictive Analytics 52

Cloudera

FEBRUARY 4, 2019

Built on 100% open source technology, CDF helps you deliver a better customer experience, boost your operational efficiency and stay ahead of the competition across all your strategic digital initiatives. He is fascinated by new technology trends including blockchain and deep learning.

IoT 74

IoT Prescriptive Analytics Digital Transformation Internet of Things 74

CONTACT Software

FEBRUARY 19, 2019

In this area, ETL (Extract, Transform, Load) and visualization tools such as Tableau can be ranked. And beyond the imaginary comfort zone of platforms that managers imagine, database queries and scripts for transformation and aggregation in Python or R are simply the means of choice. .

Data Science 40

Data Science Statistics Machine Learning Deep Learning 40

DataRobot Blog

DECEMBER 20, 2022

Yet, in the digital transformation era, the pricing and assessment of real estate assets is more difficult than described by brokers’ presentations, valuation reports, and traditional analytical approaches like hedonic models. Automating and optimizing their investment strategy. Conclusions.

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

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. TFRecord and Parquet).

Experimentation 99

Experimentation Modeling Deep Learning Testing 99