AWS Big Data

MAY 28, 2024

Now get ready as we embark on the second part of this series, where we focus on the AI applications with Kinesis Data Streams in three scenarios: real-time generative business intelligence (BI), real-time recommendation systems, and Internet of Things (IoT) data streaming and inferencing.

IoT 116

IoT Analytics Dashboards Data-driven 116

CIO Business Intelligence

NOVEMBER 23, 2022

Modern EA strategies now extend this philosophy to the entire business, not just IT, to ensure the business is aligned with digital transformation strategies and technological growth. The process is driven by a “comprehensive picture of an entire enterprise from the perspectives of owner, designer, and builder,” according to the EABOK.

Enterprise 128

Enterprise Cost-Benefit Digital Transformation Strategy 128

CIO Business Intelligence

NOVEMBER 29, 2023

At the same time, Gerresheimer is building an IoT platform. “In Users can automatically create dashboards, order software, and manage installations, for example, that cloud resources can book. “We “Over the next three years, all 54 locations will gradually migrate to this cloud environment,” he says.

IT 105

IT Data Lake Strategy IoT 105

CIO Business Intelligence

MAY 11, 2022

In addition, the continued movement of data and processing to the edge through IoT means that businesses are equally dependent on “things.” We are in the age of game-changing digital disruptions; however, we must be equally imaginative and prepared for a wide range of risks. Learn more at www.hpe.com/security. About Lois Boliek .

IoT 97

IoT Digital Transformation Strategy Risk 97

CIO Business Intelligence

JUNE 29, 2022

For a digitally transformed business, all of the interactions are digitally mediated. Think about a courier company delivering a package, or an airliner touching down 30 minutes behind schedule: these are digitally mediated offline activities. In a business context, this is defined as an interaction.

Interactive 98

Interactive Data-driven Data Architecture Software 98

IBM Big Data Hub

JUNE 29, 2023

As the pace of digital transformation accelerates in the manufacturing and engineering industries, two concepts have gained significant traction: digital twins and digital threads. Both concepts refer to digital representations of physical objects, but they serve different purposes and offer companies unique advantages.

Internet of Things 53

Internet of Things Manufacturing Digital Transformation Optimization 53

IBM Big Data Hub

JULY 27, 2023

More recently, these systems have integrated advanced technologies like Internet of Things (IoT), artificial intelligence (AI) and machine learning (ML) to enable predictive analytics and real-time monitoring.

Cost-Benefit 55

Cost-Benefit IoT Internet of Things Enterprise 55

IBM Big Data Hub

JUNE 29, 2023

Manufacturing has undergone a major digital transformation in the last few years, with technological advancements, evolving consumer demands and the COVID-19 pandemic serving as major catalysts for change. Here, we’ll discuss the major manufacturing trends that will change the industry in the coming year. Industry 4.0

Manufacturing 54

Manufacturing Internet of Things Cost-Benefit Digital Transformation 54

bridgei2i

JUNE 11, 2020

This may again vary by geography, culture or income levels; for instance, books are considered as essentials in several developed countries, while not many developing economies view them so. Dealing with challenges: A Case for Digital Transformation. We see increased demand* in product categories like: Hand sanitizers.

Digital Transformation 52

Digital Transformation Sales Uncertainty Forecasting 52

IBM Big Data Hub

JULY 26, 2023

The use of digital twins is one such innovation. In the era of digital transformation, digital twins are emerging as a potent solution to energy production challenges. As exciting digital technologies continue to evolve, digital twins are set to redefine the industry’s future.

Technology 52

Technology Cost-Benefit Optimization Internet of Things 52

Domino Data Lab

MARCH 3, 2019

O’Reilly Media published our analysis as free mini-books: The State of Machine Learning Adoption in the Enterprise (Aug 2018). That’s most likely a mix of devops, telematics, IoT, process control, and so on, although it has positive connotations for the adoption of reinforcement learning as well.

Data Science 49

Data Science Deep Learning Machine Learning Modeling 49