Cloudera

JANUARY 20, 2021

For more context, this demo is based on concepts discussed in this blog post How to deploy ML models to production. Machine learning is now being used to solve many real-time problems. Make sure you read Part 1 and Part 2 before reading this installment. Background / Overview. One big use case is with sensor data.

Machine Learning 112

Machine Learning Artificial Inteligence Applications Data 112

CIO

FEBRUARY 14, 2023

To succeed with real-time AI, data ecosystems need to excel at handling fast-moving streams of events, operational data, and machine learning models to leverage insights and automate decision-making. It’s also used to deploy machine learning models, data streaming platforms, and databases. That’s not to say it’ll be easy.

Artificial Inteligence 290

Artificial Inteligence Strategy Data Machine Learning 290

Gitprime

DECEMBER 21, 2021

From machine learning with SageMaker, to AWS Amplify Studio, to storage and data, this blog will cover some of the biggest announcements from AWS re:Invent 2021. Don’t miss out!

AWS 98

AWS Machine Learning Artificial Inteligence Storage 98

Cloudera

JULY 18, 2018

It is fair to say that healthcare faces many challenges, including developing, deploying, and integrating machine learning and artificial intelligence (AI) into clinical workflow and care delivery. The post Machine Learning and AI Underpin Predictive Analytics to Achieve Clinical Breakthroughs appeared first on Cloudera Blog.

Artificial Inteligence 51

Artificial Inteligence Machine Learning Analytics Healthcare 51

CIO

JUNE 28, 2023

“When you create an app bundle, AppFabric creates the required AWS Identity and Access Management (IAM) role in your AWS account, which is required to send metrics to Amazon CloudWatch and to access AWS resources such as Amazon Simple Storage Service (Amazon S3) and Amazon Kinesis Data Firehose,” AWS wrote in a blog post.

Generative AI 340

Generative AI AWS Artificial Inteligence Windows 340

Cloudera

JANUARY 30, 2019

Directly access data stored anywhere, including secure HDP clusters and cloud object storage. However as organizations look to scale machine learning capabilities, moving from individual users to teams, and from tens to hundreds or even thousands of models in production, they encounter the common limitations of notebooks.

Machine Learning 73

Machine Learning Artificial Inteligence Data Open Source 73

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. One such example is X-rays, X-rays no longer require physical film, eliminating the need for cumbersome filing cabinets and storage rooms.

Technical Review 130

Technical Review Technology 3D Healthcare 130

Xebia

AUGUST 17, 2023

An automated event-driven application that, once set up, requires minimal to no maintenance and provides instant, accurate captions for any image uploaded to a designated storage bucket. TL;DR We’ve built an automated, serverless system on Google Cloud Platform where: Users upload images to a Google Cloud Storage Bucket.

Generative AI 130

Generative AI Serverless Google Cloud Technical Review 130

OTS Solutions

JUNE 2, 2023

Emerging Technologies in Mobile Apps for Predictive Maintenance Emerging technologies such as artificial intelligence and machine learning are being integrated into predictive maintenance mobile apps to improve their effectiveness. This data can then be analyzed using machine learning algorithms to predict when maintenance is required.

Mobile 130

Mobile Artificial Inteligence Industry IoT 130

Infinidat

NOVEMBER 30, 2023

Infinidat delivers InfiniSafe® Cyber Detection Adriana Andronescu Thu, 11/30/2023 - 08:48 Earlier this year we announced that Inifinidat was expanding its enterprise cyber storage resilience and recovery capabilities by adding a powerful component to our industry acclaimed InfiniSafe® technology, InfiniSafe Cyber Detection.

Malware 65

Malware Storage Machine Learning Artificial Inteligence 65

Infinidat

APRIL 27, 2021

Unlike most popular IT terms that come and go, AI has shown that it really has some serious legs, by extending it’s reign of popularity with two additional hot terms associated with its derivative forms: Machine Learning (ML) and Deep Learning (DL). This seems to be particularly true when it comes to marketing storage products.

Artificial Inteligence 98

Artificial Inteligence Artificial Intelligence Machine Learning Storage 98

AWS Machine Learning - AI

JANUARY 26, 2024

The goal of this post is to empower AI and machine learning (ML) engineers, data scientists, solutions architects, security teams, and other stakeholders to have a common mental model and framework to apply security best practices, allowing AI/ML teams to move fast without trading off security for speed.

Artificial Inteligence 115

Artificial Inteligence Generative AI Security Applications 115

The Crazy Programmer

SEPTEMBER 25, 2023

Get 1 GB of free storage. Features: 1GB runtime memory 10,000 API requests 1GB Object Storage 512MB storage 3 Cron tasks Try Cyclic Google Cloud Now developers can experience low latency networks & host your apps for your Google products with Google Cloud. You can host various other Node.js choices on Render such as Bun.js

Serverless 180

Serverless AWS Google Cloud Azure 180

Cloudera

NOVEMBER 17, 2020

One of the many areas where machine learning has made a large difference for enterprise business is in the ability to make accurate predictions in the realm of fraud detection. The second Applied Machine Learning Prototype that was made available is for building a fraud detection model. . a Hive Table).

Machine Learning 111

Machine Learning Artificial Inteligence Training Analysis 111

Infinidat

MAY 4, 2021

In Part 1 of this blog post , we discussed the history and definitions of Artificial Intelligence (AI), Machine Learning (ML) and Deep Learning (DL), as well as Infinidat’s use of true Deep Learning in our Neural Cache software. and most of the better storage vendors do it. Adriana Andronescu.

Artificial Inteligence 98

Artificial Inteligence Off-The-Shelf Storage Machine Learning 98

InnovationM

MAY 14, 2023

Demystifying Data Lakes Data lakes serve as flexible storage repositories, enabling organizations to store raw and diverse data types, breaking away from the constraints of traditional data warehouses. These systems ensure high availability and facilitate the storage of massive data volumes.

Data 52

Data Storage Construction Business Intelligence 52

Cloudera

FEBRUARY 12, 2024

In this blog, we’ll take you through our tried and tested best practices for setting up your DNS for use with Cloudera on Azure. In a Cloudera deployment scenario, only storage accounts, PostgreSQL DB, and Key Vault support service endpoints. Most users have restrictions on firewalls for wildcard rules.

Azure 52

Azure Firewall Data Engineering Storage 52

Cloudera

OCTOBER 6, 2022

CIO blog post : “Digital transformation is a foundational change in how an organization delivers value to its customers.”. Optimize automation: AI and machine learning (ML) are now the key terms here, but RPA (Robotic Process Automation) still has its place in driving efficiency throughout the enterprise.

Technical Review 86

Technical Review Compliance Machine Learning Artificial Inteligence 86

Perficient

OCTOBER 27, 2023

This is where Predictive Maintenance, powered by Artificial Intelligence (AI) and Machine Learning (ML), comes into play. In this blog, we’ll explore the concept of Predictive Maintenance, delve into a real-world example using Oracle Cloud Maintenance , and highlight the transformative benefits of AI and ML in this context.

Artificial Inteligence 52

Artificial Inteligence Cloud Machine Learning Artificial Intelligence 52

Xebia

AUGUST 29, 2023

Key features of AWS Batch Efficient Resource Management: AWS Batch automatically provisions the required resources, such as compute instances and storage, based on job requirements. This enables you to build end-to-end workflows that leverage the full range of AWS capabilities for data processing, storage, and analytics.

AWS 147

AWS Performance Storage Linux 147

Cloudera

FEBRUARY 8, 2021

In addition, moving outside the vehicle, existing fragmented approaches for data management associated with the machine learning lifecycle are limiting the ability to deploy new use cases at scale. The vehicle-to-cloud solution driving advanced use cases.

Data 107

Data Machine Learning Artificial Inteligence Automotive 107

Cloudera

MAY 17, 2021

release blog ). In this blog, we’ll cover the complete range of new capabilities and updates for CDP Private Cloud as a whole (the platform) as well as for both the CDW (Cloudera Data Warehouse) and CML (Cloudera Machine Learning) services. appeared first on Cloudera Blog. Platform – In-place Updates.

Cloud 89

Cloud Machine Learning Artificial Inteligence Storage 89

Datavail

JUNE 22, 2023

The trends and topics at this event included data analytics, sustainability, application modernization, cloud migration and modernization, AI and machine learning, and operational excellence. Discover technologies like machine learning and serverless computing to gain valuable insights into revolutionizing your industry.

AWS 52

AWS Disaster Recovery Generative AI Storage 52

Cloudera

APRIL 6, 2022

This blog post was written by Elizabeth Howell, Ph.D The telescope’s storage ability is limited — 65 gigabytes — which requires regular sending back of data to keep from filling up the hard drive. sat-1 artificial intelligence chip filters them out so that only usable data is returned,” ESA said in a blog post.

Big Data 99

Big Data Artificial Inteligence Data Machine Learning 99

OTS Solutions

MAY 2, 2023

In this blog, we will be discussing what the Digital Transformation process is in business and how Digital Transformation technologies can impact your business growth. This blog outlines several Digital Transformation Technologies that organizations are leveraging to drive digital transformation.

Artificial Inteligence 130

Artificial Inteligence Artificial Intelligence Machine Learning Blockchain 130

Palo Alto Networks

JANUARY 15, 2021

Whether applied to cybersecurity, networking, compute, storage or anything else, these technologies give companies the ability to prepare for unpredictability and put in place flexibility. Machine Learning: Helping Cybersecurity Systems Becomes More Proactive. The key watchwords were hosted , as-a-service and cloud-delivered.

Network 96

Network IoT Machine Learning Artificial Inteligence 96

Cloudera

JUNE 27, 2023

When you deploy a platform that supports MDA you can consolidate other systems, like legacy data mediation and disparate data storage solutions. By using predictive models and machine learning (ML), telcos can reach out to affected customers, suggesting workarounds or offering credits, refunds, and incentives.

Architecture 62

Architecture Data Government Machine Learning 62

Cloudera

FEBRUARY 1, 2024

In this blog, we’ll cover the highlights of our recently published Day 2 Operations Guide and why it matters to enterprises. The rest of the blog covers precisely how the platform handles monitoring and troubleshooting of the platform when breakages happen.

Backup 82

Backup Cloud Architecture Resources 82

Infinidat

JULY 20, 2021

When All-Flash Arrays (AFAs) first appeared, the conventional wisdom about them consisted of two data points: they were very fast, and they had a high cost for raw storage capacity. Infinidat uses a larger DRAM cache than most enterprise storage vendors – up to 3TB in its larger systems – which provides more cache capacity.

Performance 98

Performance Storage Artificial Inteligence Research 98

Hu's Place - HitachiVantara

JANUARY 3, 2019

Public cloud, agile methodologies and devops, RESTful APIs, containers, analytics and machine learning are being adopted. Meta data will be key, and companies will look to object based storage systems to create a data fabric as a foundation for building large scale flow based data systems.

Trends 86

Trends Artificial Inteligence Data Center Machine Learning 86

Tenable

DECEMBER 12, 2023

For more specific guidance on best practices for vulnerability assessments, please refer to our blog post on How to Perform Efficient Vulnerability Assessments with Tenable. Our count omitted CVE-2023-20588, a CVE assigned by AMD to address speculative leaks in some AMD processors.

Windows 112

Windows Software Review Azure Internet 112

Cloudera

AUGUST 4, 2021

We use the Cloudera tool to employ machine learning for preventive maintenance,” says Terry Kline, Navistar SVP and CIO. Silos : Information from existing systems of record can be combined with new sources of structured and unstructured data to provide additional data in support of analytics and machine learning model development.

IoT 98

IoT Machine Learning Artificial Inteligence Government 98

Cloudera

AUGUST 30, 2022

This blog lays out some steps to help you incrementally advance efforts to be a more data-driven, customer-centric organization. Cloudera refers to this as universal data distribution, as explored further in this blog post. In some cases, firms are surprised by cloud storage costs and looking to repatriate data.

Strategy 103

Strategy Artificial Inteligence Data Budget 103

OpenCredo

APRIL 20, 2021

Machine learning has great potential for many businesses, but the path from a Data Scientist creating an amazing algorithm on their laptop, to that code running and adding value in production, can be arduous. Here are two typical machine learning workflows. Why this blog post? Monitoring.

Machine Learning 140

Machine Learning Artificial Inteligence Software Review Open Source 140

Cloudera

NOVEMBER 1, 2022

In the private sector, excluding highly regulated industries like financial services, the migration to the public cloud was the answer to most IT modernization woes, especially those around data, analytics, and storage. Learn more about CDP Private Cloud here.

Cloud 86

Cloud Government Storage Analytics 86

Perficient

FEBRUARY 13, 2023

Use multiple data models: Local data storage is so costly that it was not possible to store multiple copies of data, each using a different data model to meet your requirements. If you don’t have a need for machine learning yet, you’ll almost certainly need it in the next few years, if not now.

Data Engineering 69

Data Engineering Engineering Data Storage 69

Mobilunity

NOVEMBER 19, 2023

Methods to Extract Data Insights Machine Learning Algorithms : Machine learning leverages algorithms to enable computers to learn from and make predictions or decisions based on data. Deep Learning : A subset of machine learning, deep learning uses artificial neural networks to process and understand complex data.

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UI/UX Data Machine Learning Artificial Inteligence 52