Smart Data Collective

OCTOBER 31, 2022

It includes rules and regulations to ensure businesses keep consumer data private and enables consumers to reserve the right to opt out of data collection and sharing practices. Executive Order 14028 – The government continues cultivating strategies to protect data, including Biden’s Executive Order 14028.

Internet of Things 114

Internet of Things IoT Risk Measurement 114

Smart Data Collective

DECEMBER 1, 2022

As we look ahead to 2022, there are four key trends that organizations should be aware of when it comes to big data: cloud computing, artificial intelligence, automated streaming analytics, and edge computing. Each of these trends will continue to shape the way companies use data in the coming years.

Big Data 140

Big Data Internet of Things Data-driven IoT 140

Smart Data Collective

MARCH 29, 2021

Asset data collection. Data has become a crucial organizational asset. Companies need to make the most out of their data resources, which includes collecting and processing them correctly. Data collection and processing methods are predicted to optimize the allocation of various resources for MRO functions.

Big Data 137

Big Data Management Cost-Benefit Internet of Things 137

CIO Business Intelligence

MARCH 27, 2024

The pervasiveness of IoT devices and connectivity is also allowing manufacturers to collect, analyse, and quickly act on data obtained through their networked devices, leading to enhanced efficiency, reduced energy consumption, and improved equipment availability thanks to preventive maintenance.

Manufacturing 52

Manufacturing Digital Transformation IoT Testing 52

IBM Big Data Hub

FEBRUARY 7, 2024

2 For example, some are turning to software solutions that can more easily capture, manage and report ESG data. Industry 4.0 : Manufacturers are integrating new technologies, including Internet of Things (IoT) , cloud computing and AI and machine learning, into their production facilities and throughout their operations.

Reporting 90

Reporting Internet of Things Cost-Benefit Data-driven 90

Smart Data Collective

NOVEMBER 25, 2019

New Avenues of Data Discovery. New data-collection technologies , like internet of things (IoT) devices, are providing businesses with vast banks of minute-to-minute data unlike anything collected before. Instead, they’ll turn to big data technology to help them work through and analyze this data.

Business Intelligence 101

Business Intelligence Predictive Analytics Data Collection Internet of Things 101

Rocket-Powered Data Science

JULY 7, 2019

Such approaches can enable more accurate and faster modeling and analysis of the characteristics and behaviors of a system and can exploit data in intelligent ways to convert them to new capabilities, including decision support systems with the accuracy of full scale modeling, efficient data collection, management, and data mining.

Internet of Things 157

Internet of Things Machine Learning Manufacturing IoT 157

CIO Business Intelligence

MAY 16, 2022

From the factory floor to online commerce sites and containers shuttling goods across the global supply chain, the proliferation of data collected at the edge is creating opportunities for real-time insights that elevate decision-making. billion connected IoT devices by 2025, generating almost 80 billion zettabytes of data at the edge.

IoT 89

IoT Data Warehouse Internet of Things Machine Learning 89

CIO Business Intelligence

JANUARY 24, 2024

Overlooking these data resources is a big mistake. The proper use of unstructured data will become of increasing importance to IT leaders,” says Kevin Miller, CTO of enterprise software developer IFS. “It Creating data silos Denying business users access to information because of data silos has been a problem for years.

Data Strategy 135

Data Strategy Strategy Unstructured Data Data Governance 135

CIO Business Intelligence

JULY 12, 2023

P&G engineers developed a high-speed data collection system to capture data to use for training AI models. One challenge they faced is that, while production errors are extremely costly and disruptive, they don’t happen often, which means that failure events are underrepresented in the training data.

Manufacturing 97

Manufacturing Cost-Benefit Data Lake Optimization 97

FineReport

AUGUST 4, 2021

Provide a new way of data discovery. New data collection technologies like devices for Internet of Things (IoT) are providing companies with massive amounts of real-time data. This is different from any previous ways of collecting data. Take the BI software FineReport as an example. Conclusion.

Business Intelligence 98

Business Intelligence Data-driven Dashboards Internet of Things 98

CIO Business Intelligence

APRIL 12, 2022

Visibility into your middleware software is critical to understanding, for instance, container management and under- or over-provisioning of VMs, enabling you to appropriately align resources to workloads. Application-level insights: Visibility shouldn’t stop at the virtualized software layer.

Digital Transformation 145

Digital Transformation B2B Enterprise IoT 145

CIO Business Intelligence

MAY 31, 2022

Building on data collected by IoT and edge devices, processed at 5G speeds, digital twins are a core constituent of the experiential layer as the global digital twin market, valued at $3.21 Artificial Intelligence, Collaboration Software, Emerging Technology, Quantum Computing, Virtual Reality billion by 2030.

Technology 113

Technology Experimentation Interactive IoT 113

Smart Data Collective

JANUARY 10, 2023

IoT solutions as well as Business Intelligence tools are widely used by companies all over the world to improve their processes. BI and IoT are a perfect duo as while IoT devices can gather important data in a real team, BI software is intended for processing and visualizing this information. Will it make sense?

IoT 109

IoT Business Intelligence Visualization Internet of Things 109

AWS Big Data

MARCH 13, 2024

The solution consists of the following interfaces: IoT or mobile application – A mobile application or an Internet of Things (IoT) device allows the tracking of a company vehicle while it is in use and transmits its current location securely to the data ingestion layer in AWS.

Analytics 95

Analytics IoT Metadata Internet of Things 95

CDW Research Hub

NOVEMBER 29, 2021

Your first thought about the Internet of Things (IoT) might be of a “smart” device or sensor. However, building an IoT solution requires thought into six distinct layers, each with its own considerations and security implications. So, what are the six layers of IoT? Layer 1: IoT devices. Layer 2: Edge computing.

IoT 89

IoT Cost-Benefit Internet of Things ROI 89

CIO Business Intelligence

MARCH 16, 2022

But even before the pandemic hit, Dubai-based Aster DM Healthcare was deploying emerging technology — for example, implementing a software-defined network at its Aster Hospitals UAE infrastructure to help manage IoT-connected healthcare devices. The healthcare industry is well-known for rich data collection.

Technology 105

Technology Digital Transformation Business Intelligence Data Warehouse 105

erwin

JUNE 11, 2020

If the current investments that a business has is not as effective, then data intelligence tools can provide guidance on the best avenues to invest in. Big IT companies even have off-the-shelf data analytics software ready to be configured by a company to their needs. Apply real-time data in marketing strategies.

Key Performance Indicator 103

Key Performance Indicator KPI Data-driven Machine Learning 103

IBM Big Data Hub

MAY 26, 2023

The customer is responsible for the management of the guest operating system (including updates and security patches to the guest operating system) and associated application software, as well as the configuration of the AWS-provided security group firewall and other security-related features.

Consulting 73

Consulting Cost-Benefit Optimization Machine Learning 73

AWS Big Data

MARCH 28, 2024

Krones equips their lines with sensors for data collection, which can then be evaluated against rules. This allows you to act on data locally and aggregate and filter device data. AWS IoT Greengrass provides prebuilt components that can be deployed to the edge. So how to detect a failure?

Management 81

Management Broadcasting IoT Metrics 81

IBM Big Data Hub

JULY 5, 2023

Examples of non-physical assets include software, intellectual property, trademarks and patents. Recently, asset management software like enterprise asset management systems (EAMs) , have become an indispensable tool in helping businesses perform both predictive and preventative maintenance. What is asset lifecycle management (ALM)?

Strategy 53

Strategy Management IoT Cost-Benefit 53

datapine

NOVEMBER 19, 2019

AI refers to the autonomous intelligent behavior of software or machines that have a human-like ability to make decisions and to improve over time by learning from experience. While IoT was a prominent feature of buzzwords 2019, the rapid advancement and adoption of the internet of things is a trend you cannot afford to ignore in 2020.

Technology 279

Technology Internet of Things IT IoT 279

CIO Business Intelligence

JULY 17, 2023

Dickson, who joined the Wisconsin-based company in 2020, has launched PowerInsights, a homegrown digital platform that employs IoT and AI to deliver a geospatial visualization of Generac’s installed base of generators, as well as insights into sales opportunities. I joined during COVID, and I didn’t have any talent pipeline.

IoT 97

IoT Digital Transformation Manufacturing Sales 97

Cloudera

FEBRUARY 4, 2019

One of the most promising technology areas in this merger that already had a high growth potential and is poised for even more growth is the Data-in-Motion platform called Hortonworks DataFlow (HDF). CDF, as an end-to-end streaming data platform, emerges as a clear solution for managing data from the edge all the way to the enterprise.

IoT 74

IoT Prescriptive Analytics Digital Transformation Internet of Things 74

IBM Big Data Hub

JUNE 14, 2023

artificial intelligence (AI) applications, the Internet of Things (IoT), robotics and augmented reality, among others) to optimize enterprise resource planning (ERP), making companies more agile and adaptable. Optimize workflows by analyzing data from multiple sources (e.g.,

Manufacturing 71

Manufacturing Technology Internet of Things Cost-Benefit 71

IBM Big Data Hub

MAY 15, 2024

Another deployment option is the self-managed approach, such as a software application deployed on-premises, which offers users full control over their business-critical data, thus lowering data privacy, security and sovereignty risks.

Cost-Benefit 68

Cost-Benefit Data Integration Data Architecture Manufacturing 68

CIO Business Intelligence

JANUARY 3, 2024

According to Rapos, early incorporation allows for better data collection, more accurate modeling, and immediate feedback during the construction or development phase. It’s crucial to understand that digital twins aren’t just a final product, but a dynamic tool that evolves and adds value throughout the project’s life.

Cost-Benefit 129

Cost-Benefit ROI Manufacturing Optimization 129

CIO Business Intelligence

AUGUST 15, 2023

Linda Gerull, CIO for the City and County of San Francisco, and her team used a combination of in-house software, open-source programming, and expert algorithms to create an RLA platform capable of automatically auditing thousands of votes on-demand to verify results. Oshkosh tracks manufacturing assets with IoT Organization: Oshkosh Corp.

IT 97

IT Manufacturing IoT Cost-Benefit 97

IBM Big Data Hub

MAY 17, 2023

They use drones for tasks as simple as aerial photography or as complex as sophisticated data collection and processing. Drone-as-a-Service (DaaS), is a Software as a Service (SaaS)-based offering that is hardware independent and fully scalable. The global commercial drone market is projected to grow from USD 8.15

Data Collection 77

Data Collection Visualization Data-driven Unstructured Data 77

CIO Business Intelligence

JUNE 7, 2023

While players today do not wear sensors during live action games, the introduction of wearable technologies and new types of IoT sensors will no doubt impact data collection and player performance in the years ahead, Bhagavathula says. AI uses this data to recommend specific player matchups and tactics.”

Digital Transformation 52

Digital Transformation Recreation/Entertainment Machine Learning Data Lake 52

Alation

JULY 7, 2022

Alation launched the Data Intelligence Project in the summer of 2021 to train the next generation of data leaders. Today, we offer our software free of charge, to faculty and students at academic institutions, as a learning tool. New roles and opportunities in data are multiplying!

Metadata 52

Metadata Data-driven Insurance Statistics 52

Domino Data Lab

MARCH 3, 2019

Then, when we received 11,400 responses, the next step became obvious to a duo of data scientists on the receiving end of that data collection. Over the past six months, Ben Lorica and I have conducted three surveys about “ABC” (AI, Big Data, Cloud) adoption in enterprise.

Data Science 49

Data Science Deep Learning Machine Learning Modeling 49

CIO Business Intelligence

APRIL 12, 2022

That is changing with the introduction of inexpensive IoT-based data loggers that can be attached to shipments. Supply chain data often helps an organization increase transparency and cooperation in multiple, if not all, departments. The future of the supply chain is IoT-driven. They see it as an additional expense.

IoT 104

IoT Analytics Manufacturing Cost-Benefit 104

IBM Big Data Hub

MARCH 20, 2024

ready-to-use software applications, virtual machines (VMs) , enterprise-grade infrastructures and development platforms) available to users over the public internet on a pay-per-usage basis. Software-as-a-Service (SaaS) is on-demand access to ready-to-use, cloud-hosted application software.

Internet of Things 89

Internet of Things Cost-Benefit Data Processing IoT 89

O'Reilly on Data

MARCH 24, 2020

Beyond the autonomous driving example described, the “garbage in” side of the equation can take many forms—for example, incorrectly entered data, poorly packaged data, and data collected incorrectly, more of which we’ll address below. The model and the data specification become more important than the code.

Machine Learning 347

Machine Learning Statistics Data Quality Modeling 347

Jet Global

MAY 9, 2024

Real-Time Analytics Pipelines : These pipelines process and analyze data in real-time or near-real-time to support decision-making in applications such as fraud detection, monitoring IoT devices, and providing personalized recommendations. As data flows into the pipeline, it is processed in real-time or near-real-time.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52