Confluent

FEBRUARY 6, 2019

Building a scalable, reliable and performant machine learning (ML) infrastructure is not easy. It takes much more effort than just building an analytic model with Python and your favorite machine learning framework. Impedance mismatch between data scientists, data engineers and production engineers.

Machine Learning 107

Machine Learning Artificial Inteligence Scalability Data Engineering 107

CIO

JUNE 12, 2024

CIOs believe that the top three tech initiatives driving these increased IT investments will be security and risk management (45%), artificial intelligence (AI) and machine learning (44%), and business process and IT automation (44%).

Technical Review 130

Technical Review Artificial Inteligence Machine Learning Artificial Intelligence 130

CIO

APRIL 12, 2024

These roles include data scientist, machine learning engineer, software engineer, research scientist, full-stack developer, deep learning engineer, software architect, and field programmable gate array (FPGA) engineer. It is used to execute and improve machine learning tasks such as NLP, computer vision, and deep learning.

Open Source 311

Open Source Machine Learning Artificial Inteligence Generative AI 311

Openxcell

APRIL 7, 2023

Machine Learning has noticed rapid growth—resulting in the creation of numerous tools and platforms for creating, evaluating, and deploying Machine Learning Models. The most popular Machine Learning tools have earned wide adoption in different industry settings and have active user and contributor groups.

Artificial Inteligence 52

Artificial Inteligence Machine Learning Tools Artificial Intelligence 52

CIO

JANUARY 26, 2024

The field requires broad training involving principles of computer science, cognitive psychology, and engineering. Artificial Intelligence (AI) is a fast-growing and evolving field, and data scientists with AI skills are in high demand.

Artificial Inteligence 250

Artificial Inteligence Programming Artificial Intelligence Machine Learning 250

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.

Artificial Inteligence 98

Artificial Inteligence Machine Learning IoT Internet 98

TechCrunch

SEPTEMBER 28, 2022

Virtual Reality (VR) has struggled to transition too far beyond gaming circles and specific industry use-cases such as medical training , but with the burgeoning metaverse movement championed by tech heavyweights such as Meta , there has been a renewed hope (and hype) around the promise that virtual worlds bring. ” Training day.

VR 213

VR Energy Training Virtualization 213

Openxcell

APRIL 21, 2023

In today’s fast-paced world, Machine Learning is quickly changing the way various industries and our daily lives function. This engaging blog post dives into the exciting world of Machine Learning, shedding light on what it is, why it matters, its history, types, core principles, and applications.

Artificial Inteligence 52

Artificial Inteligence Machine Learning Training Performance 52

Altexsoft

JUNE 29, 2021

In a world fueled by disruptive technologies, no wonder businesses heavily rely on machine learning. Google, in turn, uses the Google Neural Machine Translation (GNMT) system, powered by ML, reducing error rates by up to 60 percent. The role of a machine learning engineer in the data science team.

Artificial Inteligence 105

Artificial Inteligence Machine Learning Engineering Data Engineering 105

O'Reilly Media - Data

JULY 23, 2018

Interest in machine learning (ML) has been growing steadily , and many companies and organizations are aware of the potential impact these tools and technologies can have on their underlying operations and processes. Machine Learning in the enterprise". Scalable Machine Learning for Data Cleaning.

Machine Learning 123

Machine Learning Artificial Inteligence How To Case Study 123

O'Reilly Media - Data

JUNE 5, 2018

Today, just 15% of enterprises are using machine learning, but double that number already have it on their roadmaps for the upcoming year. However, in talking with CEOs looking to implement machine learning in their organizations, there seems to be a common problem in moving machine learning from science to production.

Artificial Inteligence 166

Artificial Inteligence Machine Learning Software Review Weak Development Team 166

CIO

OCTOBER 13, 2023

A recent survey of senior IT professionals from Foundry found that 57% of IT organizations have identified several areas for gen AI use cases, 25% have started pilot programs, and 41% are engaged in training and upskilling employees on gen AI.

Generative AI 358

Generative AI Company Machine Learning Artificial Inteligence 358

d2iq

JANUARY 18, 2022

In this post , we’ll discuss how D2iQ Kaptain on Amazon Web Services (AWS) directly addresses the challenges of moving machine learning workloads into production, the steep learning curve for Kubernetes, and the particular difficulties Kubeflow can introduce.

Artificial Inteligence 72

Artificial Inteligence Machine Learning AWS Weak Development Team 72

CIO

MAY 2, 2024

These include the accelerating transition to cloud platforms, the growth of hybrid and remote work models, and the rapid adoption of artificial intelligence (AI) and machine learning (ML) technologies across every industry. A seismic shift is underway in the evolution of the data center, driven by a variety of converging factors.

Data Center 203

Data Center Artificial Inteligence Data Sustainability 203

Altexsoft

JULY 8, 2021

To help companies unlock the full potential of personalized marketing, propensity models should use the power of machine learning technologies. This post is going to shed light on propensity modeling and the role of machine learning in making it an efficient predictive tool. What is a propensity model?

Artificial Inteligence 78

Artificial Inteligence Machine Learning How To Airlines 78

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 274

Artificial Inteligence Strategy Data Machine Learning 274

d2iq

FEBRUARY 19, 2021

Going from a prototype to production is perilous when it comes to machine learning: most initiatives fail , and for the few models that are ever deployed, it takes many months to do so. As little as 5% of the code of production machine learning systems is the model itself. Adapted from Sculley et al.

Artificial Inteligence 103

Artificial Inteligence Machine Learning Technical Review Software Review 103

Cloudera

JANUARY 20, 2021

to make a classification model based off of training data stored in both Cloudera’s Operational Database (powered by Apache HBase) and Apache HDFS. Machine learning is now being used to solve many real-time problems. Training Data in HBase and HDFS. Make sure you read Part 1 and Part 2 before reading this installment.

Machine Learning 115

Machine Learning Artificial Inteligence Applications Data 115

Netflix Tech

DECEMBER 10, 2020

In this post we explore how machine learning and statistical modeling can aid creative decision makers in tackling these questions at a global scale. Supervised A major motivation for transfer learning is to “pre-train” model parameters by first learning them on a related source task for which we have more training data.

Machine Learning 94

Machine Learning Artificial Inteligence Film Training 94

AWS Machine Learning - AI

MAY 2, 2024

Amazon Personalize makes it straightforward to personalize your website, app, emails, and more, using the same machine learning (ML) technology used by Amazon, without requiring ML expertise. Benefits of new recipes The new recipes offer enhancements in scalability, latency, model performance, and functionality.

Artificial Inteligence 84

Artificial Inteligence Machine Learning AWS Software Engineering 84

TechCrunch

NOVEMBER 16, 2020

Arrikto , a startup that wants to speed up the machine learning development lifecycle by allowing engineers and data scientists to treat data like code, is coming out of stealth today and announcing a $10 million Series A round. “We make it super easy to set up end-to-end machine learning pipelines. .

Machine Learning 280

Machine Learning Artificial Inteligence Open Source Software Development 280

Apiumhub

OCTOBER 16, 2018

Machine learning is a branch of computer science that uses statistical methods to give computers the ability to self-improve without direct human supervision. Machine learning frameworks have changed the way web development companies utilize data. 5 Best Machine Learning Frameworks for Web Development.

Artificial Inteligence 75

Artificial Inteligence Machine Learning Web Development Software Review 75

Erik Bernhardsson

APRIL 21, 2015

There’s a bunch of companies working on machine learning as a service. Instead of the negative let’s go through the ways I think a machine learning API can actually be useful (ok full disclosure: I don’t think it’s very many). It’s true that lots of machine learning has a bit of a gap between academia an industry.

Machine Learning 112

Machine Learning Artificial Inteligence Off-The-Shelf Cloud 112

Altexsoft

JUNE 26, 2023

We’ll particularly explore data collection approaches and tools for analytics and machine learning projects. It’s the first and essential stage of data-related activities and projects, including business intelligence , machine learning , and big data analytics. What is data collection? No wonder only 0.5

Machine Learning 52

Machine Learning Artificial Inteligence Data Systems Review 52

CIO

DECEMBER 21, 2023

Quality and volume of data, scalability of solution, and ability to process inference effectively are key aspects to enable efficient AI solutions. Scalability is a crucial component, particularly when deployed at the edge, bringing services closer to where customers are located. To learn more, visit us here.

Artificial Inteligence 233

Artificial Inteligence Generative AI Artificial Intelligence Scalability 233

O'Reilly Media - Data

FEBRUARY 28, 2018

In the previous two parts, we walked through the code for training tokenization and part-of-speech models, running them on a benchmark data set, and evaluating the results. Here are the accuracy comparisons from the models training in Part 1 of this blog series : Figure 1. Model accuracy comparison. Image courtesy of Saif Addin Ellafi.

Scalability 156

Scalability Performance Comparison Training 156

Erik Bernhardsson

APRIL 21, 2015

There’s a bunch of companies working on machine learning as a service. Instead of the negative let’s go through the ways I think a machine learning API can actually be useful (ok full disclosure: I don’t think it’s very many). It’s true that lots of machine learning has a bit of a gap between academia an industry.

Machine Learning 100

Machine Learning Artificial Inteligence Off-The-Shelf Cloud 100

Exadel

DECEMBER 18, 2020

Many real-life Machine Learning (ML) use cases imply multi-tenant architecture and require training a model for every user. The same goes for tax calculations, where it is illegal to combine the data obtained from different clients to train a single ML model; instead, we have to make predictions on a case-by-case basis.

Machine Learning 52

Machine Learning Artificial Inteligence Storage Training 52

TechCrunch

MARCH 30, 2023

.” What makes Oscilar different, Narkhede says, is the platform’s heavy reliance on AI and machine learning. But not just any AI — Narkhede claims that Oscilar’s AI, developed in-house, requires much less first- and third-party data about past fraud incidents from customers to train machine learning models.

Fintech 219

Fintech Machine Learning Artificial Inteligence Banking 219

Cloudera

OCTOBER 13, 2021

Imagine if you had to explain what machine learning is and how to use it. Cloudera produced a series of ebooks — Production Machine Learning For Dummies , Apache NiFi For Dummies , and Apache Flink For Dummies (coming soon) — to help simplify even the most complex tech topics. There’s no need to panic.

Machine Learning 75

Machine Learning Artificial Inteligence Data IoT 75

Sunflower Lab

JULY 21, 2023

Building a SaaS product needs similar train of thoughts as this, it is not for a general purpose or to replace what exists already, but how it can further strengthen your business with cloud-based SaaS products and thus fulfilling the precise utility it was made for. This also helps to reduce costs in the analytical part of enterprises.

Scalability 52

Scalability Applications VR Enterprise 52

Dzone - DevOps

APRIL 6, 2023

The field of machine learning has advanced considerably in recent years, enabling us to tackle complex problems with greater ease and accuracy. However, the process of building and training machine learning models can be a daunting task, requiring significant investments of time, resources, and expertise.

Serverless 97

Serverless AWS Machine Learning Artificial Inteligence 97

AWS Machine Learning - AI

FEBRUARY 6, 2024

To support overarching pharmacovigilance activities, our pharmaceutical customers want to use the power of machine learning (ML) to automate the adverse event detection from various data sources, such as social media feeds, phone calls, emails, and handwritten notes, and trigger appropriate actions.

Artificial Inteligence 90

Artificial Inteligence Pharmaceuticals Healthcare Generative AI 90

Xicom

MAY 4, 2021

Imagine what all other users would have learned till now, and how will the union of Machine Learning with mobile app development behave post-2021. What makes mobile app development companies in Dubai and worldwide after this amalgamation “Machine learning with Mobile Apps”? Hello “Machine Learning” .

Artificial Inteligence 52

Artificial Inteligence Machine Learning Mobile Development 52

TechCrunch

MARCH 23, 2022

With offices in Tel Aviv and New York, Datagen “is creating a complete CV stack that will propel advancements in AI by simulating real world environments to rapidly train machine learning models at a fraction of the cost,” Vitus said. ” Investors that had backed Datagen’s $18.5

Automotive 242

Automotive Artificial Inteligence Machine Learning VR 242

CIO

FEBRUARY 22, 2024

If we look at what we could call classic AI, an example would be our Herbicide Train project, where front cameras have been installed in several trains throughout Spain that don’t go below 50 km/h,” Prieto says.

Artificial Inteligence 237

Artificial Inteligence IoT Technical Review Artificial Intelligence 237

Confluent

JULY 16, 2019

For general information about how to build scalable and reliable machine learning infrastructures with Apache Kafka ecosystem, check out the article Using Apache Kafka to Drive Cutting Edge Machine Learning. I will show how to implement this use case in this blog post. Setting up your burglar alarm.

Machine Learning 101

Machine Learning Artificial Inteligence Software Review Training 101