Cloudera

OCTOBER 14, 2020

Running a large commercial airline requires the complex management of critical components, including fuel futures contracts, aircraft maintenance and customer expectations. Additionally, airlines ensure availability and reliability of their fleet by leveraging maintenance, overhaul and repair (MRO) organizations, such as Lufthansa Technik. .

Machine Learning 97

Machine Learning Artificial Inteligence Engineering Airlines 97

OTS Solutions

DECEMBER 12, 2023

With the ability to analyze data in real-time and make quick decisions, AI systems can optimize production processes, predict maintenance needs, and minimize downtime. Machine learning algorithms analyze vast amounts of data to optimize production processes, predict maintenance needs, and identify potential defects.

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Artificial Inteligence Industry Artificial Intelligence Machine Learning 130

Perficient

OCTOBER 10, 2023

Harnessing AI and ML for Efficiency In today’s fast-paced business landscape, maintenance operations are a critical aspect of ensuring smooth and uninterrupted production processes. Equipment breakdowns, unexpected downtime, and inefficient maintenance practices can have a significant impact on both productivity and profitability.

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CIO

DECEMBER 13, 2023

The evolution of AI and the use of structured and unstructured data When discriminative AI rose to prominence in sectors such as banking, healthcare, retail, and manufacturing, it was primarily trained on and used to analyze, classify, or make predictions about unstructured data.

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Generative AI Data Artificial Inteligence Video 246

Tenable

APRIL 15, 2024

It offers significant opportunities to enhance efficiency, resilience and readiness by automating processes, predicting equipment failure and optimizing energy use. Predictive maintenance: Advanced OT systems can predict equipment failure before it occurs, minimizing downtime.

Energy 63

Energy Analysis Scalability System 63

OTS Solutions

AUGUST 16, 2023

AI and ML algorithms use statistical models to identify patterns in data and make predictions, classifications, and optimizations. They can be used in several areas, including natural language processing, image recognition, predictive analytics, and behavior tracking.

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Artificial Inteligence Applications Artificial Intelligence Machine Learning 130

OTS Solutions

AUGUST 16, 2023

AI and ML algorithms use statistical models to identify patterns in data and make predictions, classifications, and optimizations. They can be used in several areas, including natural language processing, image recognition, predictive analytics, and behavior tracking.

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Artificial Inteligence Applications Artificial Intelligence Machine Learning 130

Perficient

APRIL 24, 2024

In this blog post, we delve into the significance of tactile paving in transit stations and explore how it aligns with the principles of Universal Design. Consistency and Standardization Adhering to established tactile paving standards and guidelines promotes uniformity and predictability across different transit stations.

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Travel Guidelines Mobile Training 52

Perficient

APRIL 30, 2024

In this blog post, we explore the significance of tactile elements in Universal Design, emphasizing their role in enhancing accessibility and inclusivity for everyone. In the realm of accessibility, Universal Design principles advocate for creating environments that are usable and inclusive for individuals of all abilities.

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Guidelines Architecture 52

Cloudera

JANUARY 30, 2024

Here are some of the key use cases: Predictive maintenance: With time series data (sensor data) coming from the equipment, historical maintenance logs, and other contextual data, you can predict how the equipment will behave and when the equipment or a component will fail.

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Cloudera

OCTOBER 4, 2023

For example: In manufacturing, fast-moving data provides the only way to detect — or even predict and prevent — defects in real time before they propagate across an entire production cycle. We can move to predictive fraud and breach prevention, greatly increasing the protection of customer data and financial assets.

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Analytics Machine Learning Artificial Inteligence Telecommunications 83

CIO

OCTOBER 13, 2023

Responsibilities include building predictive modeling solutions that address both client and business needs, implementing analytical models alongside other relevant teams, and helping the organization make the transition from traditional software to AI infused software.

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Generative AI Company Machine Learning Artificial Inteligence 359

OTS Solutions

NOVEMBER 14, 2023

There are many reasons why dentists are shifting towards digital IT solutions, but in this blog, we discuss the top 2 reasons why dental practices are adopting digital solutions so fast. Improving patient outcomes through predictive analytics Predictive analytics is transforming the way dental practices approach patient care.

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Technical Review Technology 3D Healthcare 130

Cloudera

AUGUST 12, 2021

In my previous blog post, I shared examples of how data provides the foundation for a modern organization to understand and exceed customers’ expectations. Exploring new possibilities to develop intelligent connected devices and services is made easier by creating digital twins,accurate models to predict behaviour. Risk Management.

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Cloudera

DECEMBER 20, 2022

The variable nature that fuels the renewable generation makes production less predictable. With the right insights, energy production from renewable assets can be optimized and better predict the future of supply and demand. Intelligent network management. All of this introduces a new issue: grid management. That’s where data comes in.

Energy 79

Energy Analytics Data Machine Learning 79

Palo Alto Networks

JANUARY 24, 2024

{{interview_audio_title}} 00:00 00:00 Volume Slider 10s 10s 10s 10s Seek Slider “AI’s Impact in Cybersecurity” is a blog series based on interviews with a variety of experts at Palo Alto Networks and Unit 42 with roles in AI research, product management, consulting, engineering and more. Do you have as many detections as you had last week?

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Artificial Inteligence Artificial Intelligence Malware Training 75

Hacker Earth Developers Blog

JANUARY 30, 2023

What are the predictions that will shape this year? Enjoys blogging, conference speaking, and solving problems. Amid hiring freezes or vacancies, I predict forward-thinking HR professionals will focus on doing more with less. We must upgrade the accuracy and consistency of our data and the predictions we can make from it.

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Recruiting Trends Technical Review Weak Development Team 200

Cloudera

FEBRUARY 11, 2022

This blog post hopes to provide this foundational understanding. These include customer sentiment analysis, predictive maintenance, vehicle autopilot systems, fraud detection and chatbots. For example, imagine a model that predicts the expected sale price of a property. What is Machine Learning.

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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. The blog finishes by providing concrete examples of how Cloudera customers are delivering strategic functionality like recommendation engines, predictive maintenance, and IoT workflows – all with machine learning at their core.

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Artificial Inteligence Machine Learning Big Data IoT 45

Cloudera

AUGUST 11, 2022

Or how a data- and AI-powered predictive maintenance program like Condition Based Maintenance Plus (CBM+) extends the life cycle of military assets, reduces costs, and more efficiently keeps U.S. and routing through to descriptive, prescriptive, and predictive analytics . military installations spread across the globe.

Data 88

Data Transportation Architecture Scalability 88

Cloudera

MAY 4, 2022

Machines can predict when they will need maintenance and troubleshooting, alerting technicians to act. Inventory systems make note of what is being replenished and, with the assistance of data analytics, predict when to order more and how frequently. . AI also enables 24-hour operations with minimum downtime. .

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Artificial Inteligence Off-The-Shelf Systems Review Artificial Intelligence 128

Cloudera

JANUARY 20, 2021

Most of what is written though has to do with the enabling technology platforms (cloud or edge or point solutions like data warehouses) or use cases that are driving these benefits (predictive analytics applied to preventive maintenance, financial institution’s fraud detection, or predictive health monitoring as examples) not the underlying data.

Data 103

Data Artificial Inteligence Analytics Machine Learning 103

Cloudera

JUNE 22, 2023

These dis-integrated resources are “data platforms” in name only: in addition to their high maintenance costs, their lack of interoperability with other critical systems makes it difficult to respond to business change. This minimizes upfront disruption while reducing maintenance costs over time. appeared first on Cloudera Blog.

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Technical Review Data Open Source Systems Review 65

Cloudera

DECEMBER 1, 2023

The US Department of Defense, for instance, is leveraging AI for predictive maintenance of military equipment, improving operational readiness and cost-effectiveness. The post Building Trust in Public Sector AI Starts with Trusting Your Data appeared first on Cloudera Blog.

Data 104

Data Government Artificial Intelligence Artificial Inteligence 104

Tenable

MARCH 25, 2024

In this blog post, we’ll outline the challenges involved in protecting the DoD’s transportation systems from cyberattacks, and offer OT security recommendations. Ensuring the security of the DoD's transportation network is certainly a technical challenge - but within the military context, it's also a matter of national security.

Transportation 68

Transportation Network System Infrastructure 68

Hacker Earth Developers Blog

MARCH 5, 2019

IHS Technology predicts that there will be over 30 billion IoT devices in use by 2020 and over 75 billion by 2025. By 2020, the smart healthcare market value is predicted to be US$ 169.32 The post Applications and innovations in the Internet of Things (IoT) appeared first on HackerEarth Blog. Healthcare.

IoT 283

IoT Internet Applications Innovation 283

Xebia

MARCH 14, 2024

Their cloud journey looks more like this: Getting a Grip on Your Cloud Bill Many organizations struggle to get a predictable and reasonable cloud bill at the end of the month. Such an approach eliminates the need for virtual machines, the necessary compute to run these virtual machines, and their maintenance.

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Cloud Weak Development Team Software Development Applications 130

Cloudera

JANUARY 5, 2021

To enable these business capabilities requires an enterprise data platform to process streaming data at high volume and high scale, to manage and monitor diverse edge applications, and provide data scientists with tools to build, test, refine and deploy predictive machine learning models. .

Agile 90

Agile Retail Analytics Enterprise 90

Cloudera

OCTOBER 24, 2023

functions, this might take the form of using AI to automate predictive maintenance for edge devices, like RAN base stations and towers or WAN endpoints. The post Transforming Telco with Trusted AI Everywhere appeared first on Cloudera Blog. and front office (customer service, sales and marketing, etc.)

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Open Source Artificial Inteligence Load Balancer WAN 76

Perficient

NOVEMBER 21, 2023

In this blog, we’ll delve into the dynamics of these agents, exploring their differences, use cases, advantages, and considerations for selecting the right option for your DevOps environment. Maintenance-Free: Users are relieved of agent maintenance tasks as Microsoft handles updates, patches, and overall agent health.

DevOps 52

DevOps Azure Firewall Compliance 52

Cloudera

JUNE 27, 2023

Telcos can correlate data generated by connected devices with existing sources of customer data to identify and predict service outages and disruptions. By using predictive models and machine learning (ML), telcos can reach out to affected customers, suggesting workarounds or offering credits, refunds, and incentives.

Architecture 61

Architecture Data Government Machine Learning 61

DevOps.com

JUNE 2, 2020

Jon Toor, chief marketing officer for Cloudian, said HyperIQ provides access to analytics and health checks that enables predictive maintenance, enhances security and optimizes storage utilization. Cloudian is also pledging to extend the […].

Storage 83

Storage Tools Analytics Marketing 83

DataRobot

NOVEMBER 16, 2021

As we’ve discussed in this blog series, some are already reaping the rewards of AI through increased productivity, cost savings, etc. Only a small percentage of new project demand is met due to high maintenance demands of existing models. AI that is not deployed is nothing more than a costly experiment. Issues with Model Governance.

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Artificial Inteligence Machine Learning Weak Development Team Government 98

Altexsoft

SEPTEMBER 19, 2023

Social media and travel blogs contain valuable information about travelers’ experiences, recommendations, preferences, and popular upcoming events. Demand forecasting with machine learning allows companies to spot the slightest shifts in consumer behavior and predict a probable future demand for a product or service.

Travel 52

Travel Analytics Examples Airlines 52

Capgemini

NOVEMBER 14, 2023

Used intelligently, these platforms can “predict” failures and support interventions in the network that drive down cost while also reducing operational impacts (i.e., This enables organizations to identify areas for improvement, optimize asset utilization, and reduce downtime and maintenance costs. outages or leakage).

Energy 52

Energy Enterprise Infrastructure Network 52

Cloudera

APRIL 20, 2021

The field maintenance crew can easily isolate the root cause and fix the problem immediately. It can access data from inside the business, like ERP and asset management, outside sources, like edge devices and external assets, and correlate them for real-time predictive maintenance. appeared first on Cloudera Blog.

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Analytics Retail Architecture Government 91

Cloudera

DECEMBER 7, 2022

The offside prediction doesn’t go directly to the on-field referee, it is instead sent to the VMOs (video match officials) who then validate the offside prediction. Instead, the prediction is instantly available. The post The Newest FIFA World Cup Referee: Human-in-the-Loop Machine Learning appeared first on Cloudera Blog.

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