IBM Big Data Hub

MAY 17, 2024

Poorly run implementations of traditional or generative AI technology in commerce—such as deploying deep learning models trained on inadequate or inappropriate data—lead to bad experiences that alienate both consumers and businesses.

B2B 65

B2B Interactive Optimization Forecasting 65

bridgei2i

OCTOBER 7, 2020

As face to face contact, operating offline offices, physical audits and ancillary processes face constraints; these increasingly move to the digital bandwagon. In days ahead, digital transformation will be the saviour and guide of the industry. Importance of capturing market data for optimized pricing models.

Insurance 52

Insurance Sales Strategy Digital Transformation 52

Smart Data Collective

NOVEMBER 1, 2020

We’re living in an era of digital switch-over with only one constant – evolve. And that digital transformation is being introduced by high-tech solutions. Machines, artificial intelligence (AI), and unsupervised learning are reshaping the way businesses vie for a place under the sun. What Is Unsupervised Machine Learning?

Machine Learning 133

Machine Learning Data mining Visualization Statistics 133

CIO Business Intelligence

MAY 16, 2022

For example, concession stand and retail merchandise shop owners can use occupancy conditions to make more effective decisions on deploying their staff and optimizing inventory, especially for items with a limited shelf life. Benefits of real-time situational awareness and insights for the entertainment industry.

Recreation/Entertainment 99

Recreation/Entertainment Broadcasting Cost-Benefit Advertising 99

IBM Big Data Hub

FEBRUARY 14, 2024

AIOps is one of the fastest ways to boost ROI from digital transformation investments. Process automation is often centered on efforts to optimize spend, achieve greater operational efficiency and incorporate new and innovative technologies, which often translate into a better customer experience.

Cost-Benefit 83

Cost-Benefit Insurance Unstructured Data Machine Learning 83

bridgei2i

APRIL 16, 2021

Anil: Deep learning systems are essentially large networks with many layers constituting an artificial neuron that fires when a certain set of its input neurons fire. But does nobody really understand how deep learning actually works? But deep neural networks are complex systems, which are hard to understand.

Deep Learning 98

Deep Learning Machine Learning Digital Transformation Software 98

Cloudera

SEPTEMBER 11, 2020

The need to start better leveraging external data, working with broader data sets inclusive of incremental ‘demand signals,’ is no longer a ‘nice to have’ in order to improve forecast accuracy and inventory optimization.

Manufacturing 92

Manufacturing Forecasting Digital Transformation Sales 92

CIO Business Intelligence

DECEMBER 1, 2023

We will pick the optimal LLM. We’ll take the optimal model to answer the question that the customer asks.” But the applications were not optimized for the cloud, so eventually that had to be rearchitecting for microservices when the company began embracing the cloud nearly a decade ago. We use AWS and Azure.

Cost-Benefit 128

Cost-Benefit Digital Transformation Machine Learning Optimization 128

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 72

Machine Learning Manufacturing Cost-Benefit Deep Learning 72

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

CIO Business Intelligence

MAY 30, 2024

She then led the digital transformation of Schneider Electric, a global Fortune 100 energy management company. Most recently, she has served as EVP and chief customer and technology officer at Ameren, which she joined 2018 as SVP and chief digital and information officer before adding customer experience and operations in 2023.

Data Quality 101

Data Quality Key Performance Indicator Digital Transformation Management 101

IBM Big Data Hub

AUGUST 15, 2023

Recent AI developments are also helping businesses automate and optimize HR recruiting and professional development, DevOps and cloud management, and biotech research and manufacturing. In addition, deeper insights on market and consumer trends can help teams develop new products. How will you empower teams to make use of your data?

IT 75

IT Data Governance Modeling Cost-Benefit 75

Domino Data Lab

OCTOBER 14, 2020

The introduction of machine learning to the agricultural domain is relatively new. To enable a digital transformation in agriculture we must experiment and learn quickly across the entire model lifecycle. This ability enhances the efficiency of operational management and optimizes the cost of experimentation.

Experimentation 99

Experimentation Modeling Deep Learning Testing 99