Analytics Vidhya

APRIL 25, 2024

This blog post explores GhostFaceNets through captivating visuals and insightful illustrations, aiming to educate, motivate, and spark creativity. The journey is not just a blog post, but a unique exploration of […] The post GhostFaceNets: Efficient Face Recognition on Edge Devices appeared first on Analytics Vidhya.

Visualization 267

Visualization Modeling Technology Analytics 267

BizAcuity

JULY 22, 2019

This is the era of IoT (the Internet of Things). This data is gathered by the Internet of Things (IoT) devices. The power to optimize this gathered data lies in working with Machine Learning models that can replicate real-time scenarios. Fleet managers can track and collect data via IOT devices on vehicle condition.

IoT 93

IoT Management Internet of Things Optimization 93

Cloudera

SEPTEMBER 11, 2018

Last week Cloudera introduced an open end-to-end architecture for IoT and the different components needed to help satisfy today’s enterprise needs regarding operational technology (OT), information technology (IT), data analytics and machine learning (ML), along with modern and traditional application development, deployment, and integration.

IoT 40

IoT Data Processing Machine Learning Internet of Things 40

Cloudera

JANUARY 19, 2018

Before we get too far into 2018, let’s take a look at the ten most popular Cloudera VISION blogs from 2017. Machine Learning in the Age of Big Data. Sean Anderson provides a tutorial on machine learning. This informative blog outlines how GDPR affects the practice of data science. This blog has everything!

Machine Learning 45

Machine Learning IoT Big Data Insurance 45

IBM Big Data Hub

APRIL 19, 2024

This blog series discusses the complex tasks energy utility companies face as they shift to holistic grid asset management to manage through the energy transition. This also prevents expensive machine downtime, production deferment and potential safety or environmental risks.

Management 92

Management Internet of Things Risk IoT 92

Rocket-Powered Data Science

JULY 19, 2023

Accompanying the massive growth in sensor data (from ubiquitous IoT devices, including location-based and time-based streaming data), there have emerged some special analytics products that are growing in significance, especially in the context of innovation and insights discovery from on-prem enterprise data sources.

Data-driven 186

Data-driven Enterprise Analytics Machine Learning 186

BizAcuity

MARCH 1, 2019

IoT is basically an exchange of data or information in a connected or interconnected environment. AI is about simulating intelligent behavior in machines that carry out tasks ‘smartly’. AI tries to imitate natural human intelligence or the cognitive functions that humans perform using their mind such as learning and problem-solving.

IoT 56

IoT Internet of Things Big Data Data-driven 56

IBM Big Data Hub

JANUARY 15, 2024

Digital transformation trends that drive a competitive advantage Trend: Artificial intelligence and machine learning We’re entering year two of widespread adoption of generative AI tools. The Internet of Things (IoT) enables technologies to connect and communicate with each other.

Digital Transformation 76

Digital Transformation Internet of Things IoT Consulting 76

IBM Big Data Hub

APRIL 22, 2024

Energy transition and climate resilience Applying AI and IoT to accelerate the transition to sustainable energy sources There is a clear need (link resides ibm.com) to accelerate the transition to low-carbon energy sources and transform infrastructures to build more climate-resilient organizations.

IoT 84

IoT Internet of Things Cost-Benefit Reporting 84

Cloudera

AUGUST 4, 2021

In fact, McKinsey points to a 50% reduction in downtime and a 40% reduction in maintenance costs when using IoT and data analytics to predict and prevent breakdowns. Navistar relies on predictive maintenance, which leverages IoT and data analytics to predict and prevent breakdowns of commercial trucks and school buses. “We

IoT 98

IoT Unstructured Data Machine Learning Predictive Modeling 98

Cloudera

SEPTEMBER 15, 2021

Leveraging the Internet of Things (IoT) allows you to improve processes and take your business in new directions. That’s where you find the ability to empower IoT devices to respond to events in real time by capturing and analyzing the relevant data. The IoT depends on edge sites for real-time functionality. Real-time Demands.

IoT 118

IoT Analytics Internet of Things Data Lake 118

CIO Business Intelligence

APRIL 30, 2024

AI, including Generative AI (GenAI), has emerged as a transformative technology, revolutionizing how machines learn, create, and adapt. Read more about the impacts AI at the edge is predicted to have on the manufacturing industry in this recent blog. billion in 2027 with a compound annual growth rate (CAGR) of 86.1%

Forecasting 100

Forecasting Optimization Advertising IoT 100

Paul DeBeasi

FEBRUARY 14, 2019

Few data-driven technologies provide greater opportunity to derive value from Internet of Things (IoT) initiatives as machine learning. An important development in machine learning is the emergence of machine learning inference servers (aka inference engines and inference servers).

IoT 49

IoT Internet of Things Machine Learning Deep Learning 49

IBM Big Data Hub

MARCH 8, 2024

Currently, other transformational technologies like artificial intelligence (AI), the Internet of Things (IoT ) and machine learning (ML) require much faster speeds to function than 3G and 4G networks offer. Explore IBM Cloud Satellite The post 5G use cases that are transforming the world appeared first on IBM Blog.

IoT 106

IoT Broadcasting Internet of Things Technology 106

bridgei2i

FEBRUARY 21, 2020

Deep learning provides an edge over your competition. Using machine learning and historical data, future trends and patterns can be predicted depending on your area of concern. As companies work towards becoming digital enterprises, there’s a thrust on developing machine learning models that leverage NLP, CV, RL, etc.

IoT 83

IoT Analytics Deep Learning B2B 83

Smart Data Collective

OCTOBER 16, 2023

Social media, blogging, and microblogging are all essential communication data sources. IoT Sensors generate IoT data. The company employs both artificial intelligence and machine learning algorithms to encourage customers to continue connecting with the service. Spotify is a good example.

Big Data 104

Big Data IoT Cost-Benefit Advertising 104

Cloudera

SEPTEMBER 22, 2022

To me, this means that by applying more data, analytics, and machine learning to reduce manual efforts helps you work smarter. IoT examples such as telematics-based travel or car insurance enable a very personalized insurance policy (more on this in a prior post ). Step two: expand machine learning and AI.

Analytics 98

Analytics Insurance IoT Risk 98

CIO Business Intelligence

MAY 6, 2022

Nearly two-thirds of manufacturers globally already use cloud solutions, according to consulting firm McKinsey, and marketing intelligence company ReportLinker reports that the global smart factory market — consisting of companies using technology such as IoT — is expected to reach $214.2 billion by 2026.

Manufacturing 139

Manufacturing Analytics Machine Learning IoT 139

IBM Big Data Hub

FEBRUARY 29, 2024

By integrating smart grids and Internet of Things (IoT) devices, businesses can better manage their energy use. Through AI, IoT and analytics, this cloud-based platform can optimize performance and reduce operational costs.

IoT 103

IoT Internet of Things Optimization Manufacturing 103

CIO Business Intelligence

MAY 3, 2022

In December 2021, Broadcom Software published our blog: Predictions for 2022. We will now explore each of these predictions in more depth with this blog series. For this blog our topic is edge computing. By Andy Nallappan, Chief Technology Officer and Head of Software Business Operations, Broadcom Software.

Software 80

Software Internet of Things IoT Manufacturing 80

Smart Data Collective

AUGUST 26, 2021

Simply put, it involves a diverse array of tech innovations, from artificial intelligence and machine learning to the internet of things (IoT) and wireless communication networks. In this blog, we’ll delve deeper into the impact of data analytics on weather forecasting and find out whether it’s worth the hype.

Forecasting 131

Forecasting Data Analytics Analytics IoT 131

CIO Business Intelligence

DECEMBER 13, 2023

For example, generative AI models are especially adept at making sense of diverse, unstructured datasets to create realistic content, enhance data for machine learning training, simulate and model complex scenarios and environments, and personalize algorithms for targeted marketing and product recommendations.

Unstructured Data 97

Unstructured Data IoT Metadata Manufacturing 97

IBM Big Data Hub

MARCH 14, 2024

5G has been hailed as a disruptive technology, comparable to artificial intelligence (AI ), machine learning (ML) and the Internet of Things (IoT) in terms of the kinds of change it will bring about. More specifically, 5G will continue to do the following: Add to the number of IoT devices used to remotely monitor patient health.

Technology 61

Technology IoT Cost-Benefit Internet of Things 61

IBM Big Data Hub

SEPTEMBER 1, 2023

Internet of things (IOT) attack In an IoT attack, cybercriminals exploit vulnerabilities in IoT devices, like smart home devices and industrial control systems, to take over the device, steal data, or use the device as a part of a botnet for other malicious ends. The post Types of cyberthreats appeared first on IBM Blog.

IoT 110

IoT Internet of Things Software Behavioral Analytics 110

Cloudera

AUGUST 18, 2021

In digital transformation projects, it’s easy to imagine the benefits of cloud, hybrid, artificial intelligence (AI), and machine learning (ML) models. In modern hybrid environments, data traverses clouds, on-premise infrastructure and IoT networks, so the process can get very complex. technologies.

Data Lake 88

Data Lake IoT Internet of Things Data-driven 88

Cloudera

MAY 4, 2022

In a retail operation, for instance, AI-driven smart shelf systems use Internet of Things (IoT) and cloud-based applications to alert the back room to replenish items. The post AI-First Benefits: 5 Real-World Outcomes appeared first on Cloudera Blog. Efficiency is a continual goal for any organization. Faster decisions .

Cost-Benefit 129

Cost-Benefit Internet of Things Insurance Data-driven 129

Cloudera

MARCH 27, 2019

In today’s digitally connected enterprises, data originates from the edge, streams into the data center, lands in an Enterprise Data Cloud for downstream processing including Machine Learning and then serves back to the edge for real-time prediction and action. CEM is made of two components – MiNiFi and Edge Flow Manager.

Management 72

Management IoT Machine Learning Digital Transformation 72

CIO Business Intelligence

FEBRUARY 14, 2023

Titanium Intelligent Solutions, a global SaaS IoT organization, even saved one customer over 15% in energy costs across 50 distribution centers , thanks in large part to AI. AI is the perception, synthesis, and inference of information by machines, to accomplish tasks that historically have required human intelligence.

Data Strategy 115

Data Strategy Strategy Machine Learning Data-driven 115

IBM Big Data Hub

FEBRUARY 7, 2024

Sustainable technology: New ways to do more With a boom in artificial intelligence (AI) , machine learning (ML) and a host of other advanced technologies, 2024 is poised to the be the year for tech-driven sustainability. The smart factories that make up Industry 4.0 Join the IBM Sustainability Community 1 Green transition creates $10.3T

Reporting 97

Reporting Cost-Benefit Internet of Things Data-driven 97

John Wheeler

DECEMBER 18, 2018

To learn more about how DRM can enable your digital transformation initiative, read my latest research report, Market Insight: Fuel Digital Business Transformation via a Digital Risk Management Solution Stack. You can also learn more about how IRM technology and its wide array of uses on my blog at the Gartner Blog Network.

Digital Transformation 96

Digital Transformation Risk Management Internet of Things Risk 96

Cloudera

SEPTEMBER 18, 2020

In Part Two they will look at how businesses in both sectors can move to stabilize their respective supply chains and use real-time streaming data, analytics, and machine learning to increase operational efficiency and better manage disruption. The 6 key takeaways from this blog are below: 6 key takeaways. Michael Ger: .

Manufacturing 82

Manufacturing IoT Forecasting Machine Learning 82

IBM Big Data Hub

FEBRUARY 19, 2024

Technology-driven visibility AI and machine learning can be used to analyze large amounts of data quickly and accurately, providing insights that can improve forecasting, inventory management, and customer service.

Strategy 87

Strategy Management Forecasting Cost-Benefit 87

Cloudera

JANUARY 20, 2021

This is the first in a six-part blog series that outlines the data journey from edge to AI and the business value data produces along the journey. Predictive Analytics – predictive analytics based upon AI and machine learning (Fraud detection, predictive maintenance, demand based inventory optimization as examples).

Digital Transformation 106

Digital Transformation Manufacturing Data Warehouse Predictive Analytics 106

IBM Big Data Hub

JUNE 20, 2023

By coupling asset information (thanks to the Internet of Things (IoT)) with powerful analytics capabilities, businesses can now perform cost-effective preventive maintenance, intervening before a critical asset fails and preventing costly downtime. appeared first on IBM Blog.

Strategy 76

Strategy Management Cost-Benefit IoT 76

IBM Big Data Hub

AUGUST 22, 2023

It uses real-world data (both real time and historical) combined with engineering, simulation or machine learning (ML) models to enhance operations and support human decision-making. appeared first on IBM Blog. A digital twin is the digital representation of a physical asset.

Unstructured Data 78

Unstructured Data Consulting Visualization IoT 78

Cloudera

NOVEMBER 1, 2022

Through modern data architectures powered by CDP, including Cloudera-enabled data fabric, data lakehouse, and data mesh , DoD agencies can rapidly provision and manage innovative data engineering, data warehouse, and machine learning environments, with access to secured supply chain data stored in CDP Private Cloud.

Cost-Benefit 86

Cost-Benefit Data Architecture Risk IoT 86

IBM Big Data Hub

MAY 23, 2023

The rise of interconnected technologies like the Internet of Things (IoT), electric vehicles, geolocation and mobile technology have made it possible to orchestrate how people and goods flow from one place to another, especially in densely-packed urban areas. appeared first on IBM Blog. The solution is smart transportation.

Internet of Things 75

Internet of Things IoT Broadcasting Cost-Benefit 75