IBM Big Data Hub

MAY 17, 2024

Use case 1: AI for modernization and business model expansion AI-powered tools can be incredibly valuable in optimizing and modernizing business operations throughout the customer journey, but it is critical in the commerce continuum.  The applications of AI in commerce are vast and varied.

B2B 65

B2B Interactive Optimization Forecasting 65

Sisense

SEPTEMBER 9, 2019

Mark Hopkins is the Chief Information Officer at Park City, Utah based Skullcandy, leading the global IT, Digital, and Customer Service teams. We fed Kraken (BigSquid’s predictive analytics engine) information about historical warranty costs, claims, forecasts, historical product attributes, and attributes of the new products on the roadmap.

Predictive Analytics 75

Predictive Analytics Predictive Modeling Forecasting Data-driven 75

Alation

APRIL 25, 2023

It’d be difficult to exaggerate the importance of data in today’s global marketplace, especially for firms which are going through digital transformation (DT). Predictive models indicate that the machine learning market will grow at a compound annual growth rate (CAGR) of 38.8% between 2022 and 2029.

Data Governance 52

Data Governance Marketing Machine Learning Sales 52

Alation

APRIL 25, 2023

It’d be difficult to exaggerate the importance of data in today’s global marketplace, especially for firms which are going through digital transformation (DT). Predictive models indicate that the machine learning market will grow at a compound annual growth rate (CAGR) of 38.8% between 2022 and 2029.

Data Governance 40

Data Governance Marketing Machine Learning Sales 40

Rocket-Powered Data Science

FEBRUARY 12, 2021

Consequently, as organizations everywhere are undergoing significant digital transformation, we have been witnessing increases both in the use of RPA in organizations and in the number of RPA products in the market. IA refers to the addition of “intelligence” to the RPA – transforming it into “smart RPA” or even “cognitive RPA”.

ROI 234

ROI Digital Transformation Reporting Machine Learning 234

Rocket-Powered Data Science

JULY 6, 2021

2) MLOps became the expected norm in machine learning and data science projects. MLOps takes the modeling, algorithms, and data wrangling out of the experimental “one off” phase and moves the best models into deployment and sustained operational phase.

Machine Learning 279

Machine Learning Data-driven IoT Deep Learning 279

Cloudera

NOVEMBER 18, 2020

The Bank has been continually preparing its entire workforce and infrastructure, spread across 500 offices, for the digital future. The technological linchpin of its digital transformation has been its Enterprise Data Architecture & Governance platform. In its first six months of operation, OVO UnCover has proven to be 7.9

Internet Publishing and Broadcasting 124

Internet Publishing and Broadcasting Data-driven Broadcasting Digital Transformation 124

Cloudera

OCTOBER 19, 2023

Telecommunications companies are currently executing on ambitious digital transformation, network transformation, and AI-driven automation efforts.

Data-driven 79

Data-driven Data Architecture Predictive Modeling Digital Transformation 79

CIO Business Intelligence

AUGUST 15, 2023

As part of the hackathon, the IT team sought to achieve three things: to aggregate the company’s data into an enterprise data platform; to build an API that would provide business access to that data; and to develop a machine learning algorithm to provide insights on top of the aggregated IoT data.

IT 98

IT Manufacturing IoT Cost-Benefit 98

CIO Business Intelligence

SEPTEMBER 2, 2022

The pandemic falls into the macro-level because we really can’t predict those kinds of events. Last year, for example, we developed a predictive model for parts shortages that helps us better understand a supplier’s past behavior and the different sources related to that.

Uncertainty 98

Uncertainty Manufacturing Data-driven Business Intelligence 98

CIO Business Intelligence

SEPTEMBER 2, 2022

The pandemic falls into the macro-level because we really can’t predict those kinds of events. Last year, for example, we developed a predictive model for parts shortages that helps us better understand a supplier’s past behavior and the different sources related to that.

Uncertainty 98

Uncertainty Manufacturing Data-driven Business Intelligence 98

AWS Big Data

NOVEMBER 14, 2023

With data streaming, you can power data lakes running on Amazon Simple Storage Service (Amazon S3), enrich customer experiences via personalization, improve operational efficiency with predictive maintenance of machinery in your factories, and achieve better insights with more accurate machine learning (ML) models.

IoT 55

IoT Data-driven Data Lake Data Strategy 55

AWS Big Data

JANUARY 25, 2023

An Amazon Personalize job predicts for each line of input data (restaurants and restaurant articles) and produces ML-generated recommendations in the designated S3 output folder. The recommendation records are surfaced using interaction data, product data, and predictive models.

Visualization 78

Visualization Interactive Modeling Machine Learning 78