DevOps.com

OCTOBER 19, 2022

In addition, Sonatype launched a Sonatype Safety Rating system that employs machine learning algorithms and other metrics to identify the most secure open source components […]. The post Sonatype Report Surfaces Scope of Known Vulnerability Challenge appeared first on DevOps.com.

Report 118

Report Open Source Machine Learning Artificial Inteligence 118

OverOps

AUGUST 12, 2019

To answer this question, we recently created a framework that helps organizations pinpoint critical gaps in data and metrics that are holding them back on their reliability journeys. Code Metrics. Transactions & Performance Metrics. System Metrics. Are there any blocked threads related to this failure?

Metrics 207

Metrics Data SDLC Machine Learning 207

Palo Alto Networks

JANUARY 17, 2024

{{interview_audio_title}} 00:00 00:00 Volume Slider 10s 10s 10s 10s Seek Slider “AI’s Impact in Cybersecurity” is a regular 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. Take the XSIAM tour today.

Artificial Inteligence 91

Artificial Inteligence Artificial Intelligence Generative AI Metrics 91

DataRobot

AUGUST 25, 2021

In a recent blog, we talked about how, at DataRobot , we organize trust in an AI system into three main categories: trust in the performance in your AI/machine learning model , trust in the operations of your AI system, and trust in the ethics of your modelling workflow, both to design the AI system and to integrate it with your business process.

Systems Review 98

Systems Review Metrics Technical Review Machine Learning 98

Perficient

MARCH 26, 2024

In this blog post, we’ll explore the Einstein Bot Builder page’s features, functionalities, and capabilities. We’ll learn about this in another blog. The dashboard section allows you to view key metrics such as conversation volume, user satisfaction scores, response times, and completion rates.

Machine Learning 59

Machine Learning Artificial Inteligence Performance Metrics 59

N2Growth Blog

NOVEMBER 27, 2023

Through my experience, I have learned that virtual coaching programs provide a practical and customizable approach to meeting the unique needs of modern leaders. This can include specific performance metrics, development areas to focus on, or desired outcomes such as increased leadership effectiveness or improved team collaboration.

Coaching 172

Coaching Virtualization Artificial Inteligence Leadership 172

DevOps.com

NOVEMBER 5, 2020

Algorithmia today launched a performance monitoring for machine learning (ML) model that tracks algorithm inference and operations metrics generated by the enterprise edition of its namesake platform for building these models.

Machine Learning 133

Machine Learning Artificial Inteligence DevOps Metrics 133

O'Reilly Media - Ideas

JUNE 9, 2020

The biggest problem facing machine learning today isn’t the need for better algorithms; it isn’t the need for more computing power to train models; it isn’t even the need for more skilled practitioners. It’s getting machine learning from the researcher’s laptop to production.

Machine Learning 112

Machine Learning Artificial Inteligence Training Metrics 112

Perficient

MARCH 5, 2024

In a nutshell, it’s Salesforce’s answer to advanced analytics, powered by artificial intelligence (AI) and machine learning (ML) technologies. Marketing: Analyze campaign performance, segment your audience for targeted marketing efforts, and track customer engagement metrics to optimize marketing ROI. So why wait?

Analytics 59

Analytics Report Artificial Inteligence Artificial Intelligence 59

Hacker Earth Developers Blog

JUNE 26, 2019

An ideal candidate has skills in the 3 fields: mathematics/ statistics/ machine learning/ programming and business/ domain knowledge. . Machine Learning and Programming. Apart from the programming skills, the candidate should have a good understanding of machine learning concepts like: Classification and Regression.

Data 200

Data How To Recruiting Machine Learning 200

Cloudera

APRIL 9, 2021

This is part 4 in this blog series. This blog series follows the manufacturing and operations data lifecycle stages of an electric car manufacturer – typically experienced in large, data-driven manufacturing companies. The second blog dealt with creating and managing Data Enrichment pipelines. Here are the key stages: .

Machine Learning 98

Machine Learning Artificial Inteligence Data Data Engineering 98

Cloudera

MARCH 22, 2023

While in the old world where questions around data quality or system performance were answered by monitoring a few logs and metrics, in a distributed landscape (like a hybrid data platform) it’s not that straightforward. There are many logs and metrics, and they are all over the place.

Metrics 90

Metrics Government Lambda Systems Administration 90

OverOps

NOVEMBER 13, 2018

AIOps, at its core, is a data-driven practice of bridging resources and leveraging AI and machine learning to make predictions based on historical data. Follow us on Twitter for all the latest and greatest posts from our blog: ?? Machine learning and artificial intelligence are complex concepts. NEW POST ??

Artificial Inteligence 145

Artificial Inteligence Tools Machine Learning Artificial Intelligence 145

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

Mentormate

DECEMBER 12, 2023

In a previous blog post, we introduced a five-phase framework to plan out Artificial Intelligence (AI) and Machine Learning (ML) initiatives. The Traditional Machine Learning Workflow Initiating a traditional ML project begins with collecting data. The emphasis then shifts to collecting real-time patient insights.

Artificial Inteligence 52

Artificial Inteligence Machine Learning Technical Review Development 52

Honeycomb

OCTOBER 2, 2023

Query Assistant correlates with some extremely positive activation metrics and it’s inexpensive to run, thanks to OpenAI’s reasonable pricing. However, it doesn’t correlate strongly with every product activation metric we hoped it would, and although adoption is higher than we thought it would be, it isn’t as high as we hoped it could get.

Artificial Inteligence 139

Artificial Inteligence Metrics Software Review Data 139

Hacker Earth Developers Blog

JULY 18, 2023

The kinds of things that count as empathetic technology include: Wearables that use physical metrics to determine a person’s mood. Platforms that use AI to make an easy-to-learn user interface. Personalized content and recommendations using machine learning techniques. appeared first on HackerEarth Blog.

Technical Review 130

Technical Review Technology Recruiting Culture 130

Palo Alto Networks

JANUARY 5, 2024

He shares his insights on modernizing the SOC by harnessing artificial intelligence (AI) and machine learning (ML). Considering that elusive threats can sometimes cause days or weeks of dwell time, security teams are pressed to improve their MTTD and MTTR metrics. Learn more about modernizing the SOC.

Artificial Inteligence 112

Artificial Inteligence Generative AI Machine Learning Artificial Intelligence 112

OverOps

NOVEMBER 13, 2018

AIOps, at its core, is a data-driven practice of bridging resources and leveraging AI and machine learning to make predictions based on historical data. Follow us on Twitter for all the latest and greatest posts from our blog: ?? Machine learning and artificial intelligence are complex concepts. NEW POST ??

Artificial Inteligence 124

Artificial Inteligence Tools Machine Learning Artificial Intelligence 124

Cloudera

JANUARY 31, 2024

When “Enable Prefixless Replication” is selected, SRM must also enable the “Use Internal Topic For Remote Topics Discovery” feature due to the limitations of replica discovery mentioned previously in this blog. Use the /v2/topic-metrics/{source}/{target}/{upstreamTopic}/{metric} endpoint instead.

Policies 72

Policies Metrics Load Balancer Software Review 72

Planbox

DECEMBER 5, 2023

Just as the monolith in Stanley Kubrick’s masterpiece symbolized a leap in human evolution, Artificial Intelligence (AI) stands as a monumental force poised to reshape how we live, work, and interact with machines. The Right Metrics and Alignment It is paramount to reevaluate our metrics and alignment.

Innovation 52

Innovation Artificial Intelligence Artificial Inteligence Agile 52

Palo Alto Networks

NOVEMBER 13, 2023

As a solution built from the ground-up with lessons learned from a suite of leading security products, Cortex XSIAM delivers a comprehensive autonomous SOC solution that scores high on a wide range of key criteria," states GigaOm analyst Andrew Green. Continuing to Drive SOC Transformation appeared first on Palo Alto Networks Blog.

Policies 131

Policies Analysis Metrics Innovation 131

Tenable

OCTOBER 15, 2020

Over the years we’ve seen every variation of security advisory imaginable: plain text, good HTML, bad HTML, machine readable, machine readable with giant blobs of embedded text (which potentially negates the value of the machine readable parts). Format your information for both humans and machines .

Software Review 99

Software Review Technical Review Weak Development Team Metrics 99

Cloudera

DECEMBER 7, 2022

C (Cloudera is headquartered in the US, but we also recognize the superiority of the metric system). The data innovation that I was most excited to learn about though is the implementation of a human-in-the-loop (HITL) machine learning (ML) solution to assist referees in more accurately calling offsides.

Artificial Inteligence 75

Artificial Inteligence Machine Learning Systems Review Technical Review 75

DataRobot

JULY 28, 2022

Rapid advances in machine learning in recent years have begun to lower the technical hurdles to implementing AI, and various companies have begun to actively use machine learning. The accuracy of machine learning models is highly dependent on the quality of the training data. Sensor Data Analysis Examples.

Machine Learning 72

Machine Learning Artificial Inteligence Data Case Study 72

Battery Ventures

MARCH 4, 2021

We think existing dogma around traditional SaaS metrics has become outdated—and the next decade of cloud innovation may make today’s software valuations less lofty than they appear. Here are some of our big takeaways: The fall of the “Metric Monolith”: Traditional SaaS metrics may be outdated today. Averages are misleading!

Software 145

Software Cloud Metrics B2B 145

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. Natural Language Processing (NLP) : NLP is the key to understanding and generating human language using machine learning techniques.

UI/UX 52

UI/UX Data Machine Learning Artificial Inteligence 52

Cloudera

OCTOBER 5, 2020

Cloudera announced today a new collaboration with NVIDIA that will help Cloudera customers accelerate data engineering, analytics, machine learning and deep learning performance with the power of NVIDIA GPU computing across public and private clouds. CDP enables enterprise customers to leverage Apache Spark 3.0

Enterprise 93

Enterprise Cloud Data Machine Learning 93

OverOps

JULY 1, 2019

This includes insight into which deployment or microservice an error came from, historical context around when an issue was first or last seen, correlation with system metrics, insight into the source code and state of related variables and more. Read our full post about the Continuous Reliability Maturity Model !

Weak Development Team 250

Weak Development Team Artificial Inteligence How To Analysis 250

Linux Academy

MARCH 28, 2019

While Machine Learning is just a subset of true Artificial Intelligence vendors of infrastructure automation have coined a new buzz acronym, AIOps. Fail fast has become learn fast where monitoring and scanning now provides the feedback we need to keep systems safe. Federating Metrics.

Artificial Inteligence 60

Artificial Inteligence Metrics Machine Learning Linux 60

Hacker Earth Developers Blog

APRIL 17, 2023

In this article, we’ll uncover: The difference between upskilling and reskilling Benefits of upskilling and reskilling Examples of companies leveraging upskilling and reskilling programs An important drawback of most learning platforms that employers need to be aware of What is upskilling and reskilling? More employer-focused.

Technical Review 130

Technical Review Artificial Inteligence Training eLearning 130

DataRobot

JUNE 29, 2021

Well, just imagine a production machine learning model that always stays accurate after it’s deployed—all by itself. Machine learning models trained on 2019 data didn’t know what to do. Models learn from old data and make predictions. They must then re-learn from newer data to keep on predicting.

Machine Learning 80

Machine Learning Artificial Inteligence Testing Metrics 80

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. Additional database metrics were added and alerts were improved.

Cloud 89

Cloud Machine Learning Artificial Inteligence Storage 89

John Snow Labs

DECEMBER 19, 2023

Robustness in Models Recent developments in machine learning have revolutionized the field of Natural Language Processing (NLP), enabling remarkable achievements in both understanding and generating natural language. in this blog, and we install and import it the following way. !pip Firstly, we use the LangTest 1.9.0

Artificial Inteligence 52

Artificial Inteligence Testing Report Comparison 52

Cloudera

FEBRUARY 16, 2022

In this example, the Machine Learning (ML) model struggles to differentiate between a chihuahua and a muffin. We will learn what it is, why it is important and how Cloudera Machine Learning (CML) is helping organisations tackle this challenge as part of the broader objective of achieving Ethical AI.

Machine Learning 86

Machine Learning Artificial Inteligence Weak Development Team Construction 86

Hacker Earth Developers Blog

JUNE 26, 2019

An ideal candidate has skills in the 3 fields: mathematics/ statistics/ machine learning/ programming and business/ domain knowledge. . Machine Learning and Programming. Apart from the programming skills, the candidate should have a good understanding of machine learning concepts like: Classification and Regression.

Data 100

Data How To Recruiting Machine Learning 100

Netflix Tech

JANUARY 13, 2022

Troubleshooting these problems is not a trivial task and requires collecting logs and metrics from several different systems and analyzing them to identify the root cause. This blog will explore these two systems and how they perform auto-diagnosis and remediation across our Big Data Platform and Real-time infrastructure.

Data 95

Data Systems Review Big Data Software Review 95