CIO

SEPTEMBER 26, 2023

SAP helped us to connect and combine our internal utility-related knowledge… to build a valuable tool which supports us securing the performance of the grid,” said Marcel Holzer, manager of SAP systems at IWB. The problem was that the smart meters were only feeding their data once a day.

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Artificial Inteligence Machine Learning Energy Company 251

TechCrunch

NOVEMBER 1, 2021

OctoML , a Seattle-based startup that helps enterprises optimize and deploy their machine learning models, today announced that it has raised an $85 million Series C round led by Tiger Global Management. ” OctoML raises $28M Series B for its machine learning acceleration platform.

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Artificial Inteligence Machine Learning Hardware Generative AI 267

InfoWorld

JANUARY 5, 2024

Machine learning is a complex discipline but implementing machine learning models is far less daunting than it used to be. Machine learning frameworks like Google’s TensorFlow ease the process of acquiring data, training models, serving predictions, and refining future results.

Machine Learning 95

Machine Learning Artificial Inteligence Open Source Training 95

The Crazy Programmer

FEBRUARY 7, 2020

We are talking about machine learning and artificial intelligence. Artificial Intelligence does not the system to be pre programmed however they are given algorithms which are able to learn on their own intelligence. . Based on the capabilities of performance AI can be classified mainly into 3 types: . Machine Learning.

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Artificial Inteligence Artificial Intelligence Machine Learning Knowledge Base 197

TechCrunch

MARCH 17, 2021

OctoML , a Seattle-based startup that offers a machine learning acceleration platform build on top of the open-source Apache TVM compiler framework project , today announced that it has raised a $28 million Series B funding round led by Addition. We look forward to supporting the company’s continued growth.”

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Artificial Inteligence Machine Learning Open Source Automotive 251

Xebia

NOVEMBER 30, 2023

In the last few years, the discipline of Machine Learning Operations (MLOps) has been received a lot of traction to get more Machine Learning (ML) solutions into productions, reduce iteration cycles, and reduce costs for engineering and maintenance. Performance metrics for ML and MLOps teams.

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Performance How To Machine Learning Artificial Inteligence 147

Dzone - DevOps

FEBRUARY 4, 2024

If you are a site reliability engineer (SRE) for a large Kubernetes-powered application, optimizing resources and performance is a daunting job. Continually keeping tabs on performance and putting the optimal amount of resources in the right place is essentially impossible. Moreover, there will always be unexpected peaks to respond to.

Machine Learning 91

Machine Learning Artificial Inteligence Generative AI Microservices 91

TechCrunch

MAY 2, 2022

Bansal is a serial entrepreneur, having cofounded app performance management company AppDynamics (which was acquired by Cisco for $3.7 Businesses need machine learning here. “Automated and unsupervised machine learning allows Traceable to go deeper and complete the API security requirement better than anyone.

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Artificial Inteligence Machine Learning Technical Cofounder Cloud 234

Dell EMC

SEPTEMBER 23, 2020

When it comes to training and inference workloads for machine learning models, performance is king. Faster system performance equates to faster time to results. But how do you objectively measure system ML training and inference performance? In a word, look to MLPerf. READ MORE.

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Artificial Inteligence Machine Learning Performance Technology 83

Dzone - DevOps

FEBRUARY 14, 2023

If you’ve been thinking about machine learning in the last couple of years, you’re not the only one. It’s big business and can have a significant impact on the way companies perform, providing a much-needed competitive advantage. In addition, Netflix says it’s been able to save $1 billion by using machine learning.

Machine Learning 95

Machine Learning Artificial Inteligence Marketing Performance 95

Daffodil Software

DECEMBER 26, 2023

One of the popular applications of AI in custom software development is Machine Learning (ML), in which computers, software, and devices perform via cognition (very similar to the human brain). Herein, we share few examples of machine learning that we use every day and perhaps have no idea that they are driven by ML.

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Artificial Inteligence Machine Learning Examples Artificial Intelligence 75

Dzone - DevOps

JANUARY 19, 2022

Thus, demand for Artificial intelligence, machine learning, and DevOps is picking up an increased pace every hour. Altogether, many companies are investing heavily in these fields to bring faster, more accurate, and more efficient tech solutions to their existing problems.

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Artificial Inteligence Artificial Intelligence Machine Learning DevOps 127

Mentormate

MAY 31, 2023

In this article, we will discuss how MentorMate and our partner eLumen leveraged natural language processing (NLP) and machine learning (ML) for data-driven decision-making to tame the curriculum beast in higher education. Here, we will primarily focus on drawing insights from structured and unstructured (text) data.

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Artificial Inteligence Machine Learning Education Analytics 98

TechBeacon

MARCH 2, 2023

Machine learning (ML) recently experienced a revival of public interest with the launch of ChatGPT. Businesses and researchers, however, have been working with these technologies for decades.

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Artificial Inteligence Machine Learning Artificial Intelligence ChatGPT 105

Perficient

FEBRUARY 27, 2023

Machine learning is now being used all around the world and its helping analytics team greatly in saving costs and improving business decisions. A Machine learning project starts with Raw data and Ends with a web application that can predict outcomes and generate insights from raw data.

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Machine Learning Artificial Inteligence Training Metrics 64

Openxcell

MARCH 23, 2023

But with technological progress, machines also evolved their competency to learn from experiences. This buzz about Artificial Intelligence and Machine Learning must have amused an average person. But knowingly or unknowingly, directly or indirectly, we are using Machine Learning in our real lives.

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Artificial Inteligence Machine Learning Examples Artificial Intelligence 98

Cloudera

FEBRUARY 11, 2022

Advances in the development and application of Machine Learning (ML) and Deep Learning (DL) algorithms, require greater care to ensure that the ethics embedded in previous rule-based systems are not lost. What is Machine Learning. Instead, they are learned by training a model on data.

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Artificial Inteligence Machine Learning Artificial Intelligence Training 98

DevOps.com

MAY 20, 2021

Typically, there is a critical problem, ranging from complete failure to loss of certain functionality or performance. The post Three Ways Machine Learning Can Change Incident Management appeared first on DevOps.com. Stress, panic, hurry, urgent, drop-everything, all-hands-on-deck, emergency, to name a few.

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Machine Learning Artificial Inteligence Performance Applications 141

KitelyTech

JUNE 14, 2023

As a CTO, your focus is on finding ways of incorporating new technologies into your company’s operations to improve performance. Machine learning is one of the hottest new technologies with the ability to multiply your company’s performance stats ten-fold. Here is what CTOs need to know about machine learning.

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Artificial Inteligence Machine Learning Artificial Intelligence Analytics 52

Netflix Tech

NOVEMBER 11, 2022

Data analysis and machine learning techniques are great candidates to help secure large-scale streaming platforms. That’s up to the machine learning model to discover and avoid such false-positive incidents. Detection of fraud and abuse at scale and in real-time is highly challenging.

Machine Learning 124

Machine Learning Artificial Inteligence Metrics Training 124

Netflix Tech

MARCH 4, 2024

Auto Remediation generates recommendations by considering both performance (i.e., In addition, even if a job’s memory configuration is initially well tuned, changes such as data size and job definition can cause performance to degrade. In this way, no human intervention is required in the remediation process.

Machine Learning 84

Machine Learning Artificial Inteligence Data Systems Review 84

O'Reilly Media - Data

DECEMBER 12, 2019

For all the excitement about machine learning (ML), there are serious impediments to its widespread adoption. 5] This means unexpected input data or small changes over time in the input data or data pipeline can wreak havoc on a model’s performance. 2] The Security of Machine Learning. [3] ML security audits.

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Machine Learning Artificial Inteligence Technical Review Analysis 191

TechCrunch

MARCH 17, 2023

On Porsche’s list: software that helps manage and automate the performance of EVs. “Cars are becoming a combination of software and a battery — and ultimately battery performance,” UP.Labs president Katelyn Foley said. Ultimately, the company wants the software to be automated using machine learning tools.

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System Performance Machine Learning Artificial Inteligence 242

Openxcell

MARCH 30, 2023

From human genome mapping to Big Data Analytics, Artificial Intelligence (AI),Machine Learning, Blockchain, Mobile digital Platforms (Digital Streets, towns and villages),Social Networks and Business, Virtual reality and so much more. What is Machine Learning? Machine Learning delivers on this need.

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Artificial Inteligence Machine Learning IoT Internet 98

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.

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Machine Learning Artificial Inteligence Weak Development Team Construction 86

Altexsoft

JULY 23, 2020

When speaking of machine learning, we typically discuss data preparation or model building. The fusion of terms “machine learning” and “operations”, MLOps is a set of methods to automate the lifecycle of machine learning algorithms in production — from initial model training to deployment to retraining against new data.

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Artificial Inteligence Machine Learning DevOps Tools 145

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.

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Artificial Inteligence Machine Learning Technical Review Development 52

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.

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Machine Learning Artificial Inteligence Training Metrics 112

Exadel

OCTOBER 12, 2022

Decades ago, it would have been hard to see how AI and Machine Learning (ML) could have been applied in healthcare. Machine Learning can help with: identifying patients at risk by analyzing their test blood samples, DNA, and medical images. performing routine surgeries with high precision.

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Machine Learning Artificial Inteligence Healthcare Pharmaceuticals 59

Apiumhub

DECEMBER 8, 2022

In this article, we will look at the Linear Regression model for Machine Learning , which is one of the most basic models available. Now we can make predictions using ⍬^: There are several ML tools to perform Linear Regression rather than compute these equations manually, for example, Scikit-Learn: Standard Correlation Coefficient.

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Machine Learning Artificial Inteligence Training Retail 82

TechCrunch

SEPTEMBER 14, 2022

Groundcover , a performance monitoring platform for cloud apps, today announced that it raised $20 million in a Series A round led by Zeev Ventures with participation from Angular Ventures, Heavybit and Jibe Ventures. The market for app performance monitoring (APM) is expected to grow to $6.3 The reason? Image Credits: Groundcover.

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Performance Company Software Review Technical Review 240

Hacker Earth Developers Blog

MAY 22, 2020

In our third episode of Breaking 404 , we caught up with Srivatsan Ramanujam, Director of Software Engineering: Machine Learning, Salesforce to discuss everything about Machine Learning and the best practices for ML engineers to excel in their careers. Again, focus on Data Science and Machine Learning.

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Machine Learning Artificial Inteligence Software Engineering Engineering 130

Altexsoft

MAY 12, 2022

Today, we have AI and machine learning to extract insights, inaudible to human beings, from speech, voices, snoring, music, industrial and traffic noise, and other types of acoustic signals. At the same time, keep in mind that neither of those and other audio files can be fed directly to machine learning models.

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Machine Learning Artificial Inteligence Analysis Energy 122

Openxcell

MARCH 21, 2023

MACHINE LEARNING- the most hyped technology these days due to its ability to automate tasks, detect patterns and learn from the data. In this blog, you will find out the importance of Machine Learning and how it is changing the environment around us. What is Machine Learning?

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Artificial Inteligence Machine Learning Artificial Intelligence Training 52

O'Reilly Media - Data

JULY 17, 2018

Although machine learning (ML) can produce fantastic results, using it in practice is complex. Machine learning workflow challenges. MLflow: An open machine learning platform. Build a leaderboard to compare performance of different models for the same task inside your team.

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Machine Learning Artificial Inteligence Software Review Open Source 180