Applications, Architecture and Machine Learning

Machine learning model serving architectures

Xebia

APRIL 2, 2024

After months of crunching data, plotting distributions, and testing out various machine learning algorithms you have finally proven to your stakeholders that your model can deliver business value. Selecting the right architectural serving pattern is paramount in creating the most business value from your model.

Machine Learning

Machine Learning Artificial Inteligence Architecture Data

Real-time Data, Machine Learning, and Results: The Evidence Mounts

CIO

OCTOBER 4, 2022

From delightful consumer experiences to attacking fuel costs and carbon emissions in the global supply chain, real-time data and machine learning (ML) work together to power apps that change industries. Data architecture coherence. more machine learning use casesacross the company.

Machine Learning

Machine Learning Artificial Inteligence Data Architecture

Make the most of GPUs for machine learning applications

InfoWorld

MARCH 12, 2024

While graphics processing units (GPUs) once resided exclusively in the domains of graphic-intensive games and video streaming, GPUs are now equally associated with and machine learning (ML). This is especially true for large language models (LLMs) and the generative AI applications built on LLMs.

Artificial Inteligence

Artificial Inteligence Machine Learning Applications Artificial Intelligence

Webinars

How to Easily Navigate Crypto Accounting in the Web3 Era

MORE WEBINARS

What Is Machine Learning Used For

Invid Group

MARCH 19, 2024

What Is Machine Learning Used For? By INVID With the rise of AI, the term “machine learning” has grown increasingly common in today’s digitally driven world, where it is frequently credited with being the impetus behind many technical breakthroughs. But what are its applications and impacts?

Artificial Inteligence

Artificial Inteligence Machine Learning Technical Review Artificial Intelligence

20 Machine Learning/Artificial Intelligence Influencers To Follow In 2020

Hacker Earth Developers Blog

JANUARY 31, 2020

Machine Learning (ML) is emerging as one of the hottest fields today. The Machine Learning market is ever-growing, predicted to scale up at a CAGR of 43.8% The Machine Learning market is ever-growing, predicted to scale up at a CAGR of 43.8% billion by the end of 2025. billion by the end of 2025.

Artificial Inteligence

Artificial Inteligence Artificial Intelligence Machine Learning Technical Advisors

20 Machine Learning/Artificial Intelligence Influencers To Follow In 2020

Hacker Earth Developers Blog

JANUARY 31, 2020

Machine Learning (ML) is emerging as one of the hottest fields today. The Machine Learning market is ever-growing, predicted to scale up at a CAGR of 43.8% The Machine Learning market is ever-growing, predicted to scale up at a CAGR of 43.8% billion by the end of 2025. billion by the end of 2025.

Artificial Inteligence

Artificial Inteligence Artificial Intelligence Machine Learning Technical Advisors

What is enterprise architecture? A framework for transformation

CIO

NOVEMBER 23, 2022

Enterprise architecture definition Enterprise architecture (EA) is the practice of analyzing, designing, planning, and implementing enterprise analysis to successfully execute on business strategies.

Architecture

Architecture Enterprise Agile Artificial Inteligence

Harness the Power of Pinecone with Cloudera’s New Applied Machine Learning Prototype

Cloudera

NOVEMBER 1, 2023

Elevate your AI applications with our latest applied ML prototype At Cloudera, we continuously strive to empower organizations to unlock the full potential of their data, catalyzing innovation and driving actionable insights. An overview of the RAG architecture with a vector database used to minimize hallucinations in the chatbot application.

Artificial Inteligence

Artificial Inteligence Machine Learning Knowledge Base Architecture

What is Private Cloud Architecture: Complete Overview

OTS Solutions

DECEMBER 4, 2023

Private cloud architecture is an increasingly popular approach to cloud computing that offers organizations greater control, security, and customization over their cloud infrastructure. What is Private Cloud Architecture? Why is Private Cloud Architecture important for Businesses?

Architecture

Architecture Cloud Disaster Recovery Scalability

Natural Language Processing & Machine Learning in Higher Education

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. The primary data sources used in eLumen Insights are on the left-hand side of the architecture.

Artificial Inteligence

Artificial Inteligence Machine Learning Education Analytics

7 tech trends that have changed the tech landscape in 2023

CIO

DECEMBER 13, 2023

Generative AI and Foundational Models – Building on applied AI and industrializing machine learning, generative AI has emerged as a powerful force across industries. – It takes assistive technology to new heights, reducing application development time and empowering non-technical users. – Generative AI is expected to contribute up to $4.4

Generative AI

Generative AI Trends Machine Learning Artificial Inteligence

Machine Learning Pipeline: Architecture of ML Platform in Production

Altexsoft

MAY 27, 2020

Machine learning (ML) history can be traced back to the 1950s, when the first neural networks and ML algorithms appeared. Analysis of more than 16.000 papers on data science by MIT technologies shows the exponential growth of machine learning during the last 20 years pumped by big data and deep learning advancements.

Machine Learning

Machine Learning Artificial Inteligence Architecture Training

10 generative AI certs and certificate programs to grow your skills

CIO

MAY 30, 2024

The course covers principles of generative AI, data acquisition and preprocessing, neural network architectures, natural language processing, image and video generation, audio synthesis, and creative AI applications. Upon completing the learning modules, you will need to pass a chartered exam to earn the CGAI designation.

Generative AI

Generative AI Artificial Inteligence Programming Azure

How companies around the world apply machine learning

O'Reilly Media - Data

APRIL 3, 2018

The growing role of data and machine learning cuts across domains and industries. Companies continue to use data to improve decision-making (business intelligence and analytics) and for automation (machine learning and AI). Data Science and Machine Learning sessions will cover tools, techniques, and case studies.

Machine Learning

Machine Learning Artificial Inteligence Company Case Study

TraceAI : Machine Learning Driven App and API Security

DevOps.com

JUNE 28, 2021

API security Modern applications are mobile first and are built around cloud-native distributed microservices architectures. These architectures have become the basic building blocks for complex and reliable distributed web and mobile applications.

Machine Learning

Machine Learning Artificial Inteligence Microservices Architecture

Testing machine learning interpretability techniques

O'Reilly Media - Data

JUNE 26, 2018

Interpreting machine learning models is a pretty hot topic in data science circles right now. Like others in the applied machine learning field, my colleagues and I at H2O.ai have been developing machine learning interpretability software for the past 18 months or so. Figure courtesy of H2O.ai.

Machine Learning

Machine Learning Artificial Inteligence Testing Training

Architect defense-in-depth security for generative AI applications using the OWASP Top 10 for LLMs

AWS Machine Learning - AI

JANUARY 26, 2024

Generative artificial intelligence (AI) applications built around large language models (LLMs) have demonstrated the potential to create and accelerate economic value for businesses. Many customers are looking for guidance on how to manage security, privacy, and compliance as they develop generative AI applications.

Artificial Inteligence

Artificial Inteligence Generative AI Security Applications

ML.NET: A Robust Framework for Implementing Machine Learning in.NET Environments

Exadel

APRIL 13, 2021

Python is irreplaceable for Machine Learning, but running Python in production can be a problem if other parts of the system are written using C#. ML.NET is a Machine Learning library for C# that helps deliver Machine Learning features in a.NET environment more quickly. That is where ML.NET can help.

Machine Learning

Machine Learning Artificial Inteligence Microservices Training

ST Engineering showcases applications of new technologies to stay ahead of disruption

CIO

OCTOBER 5, 2023

Foundry’s CIO Tech Priorities 2023 found that IT leaders are investing in technologies that provide greater efficiencies, better security, and improved end-user experience, with most actively researching or piloting projects around artificial intelligence (AI) and machine learning, data analytics, automation, and IT/OT intelligence.

Technical Review

Technical Review Engineering Technology Applications

App Modernization in the Digital Age: The Role of AI and ML in Application Modernization

OTS Solutions

AUGUST 16, 2023

Artificial Intelligence (AI) and Machine Learning (ML) have been at the forefront of app modernization, helping businesses to streamline workflows, enhance user experience, and improve app security measures. AI and ML are transforming the way applications are developed and optimized.

Artificial Inteligence

Artificial Inteligence Applications Artificial Intelligence Machine Learning

3 reasons why every real-time application needs AI

CIO

FEBRUARY 23, 2023

We’re at a critical juncture for how every organization calibrates their definition of “fast” and “smart” when it comes to apps—which brings significant implications for their technology architecture. There’s a key difference between applications that serve “smarts” in real time and those capable of “getting smarter” in real time.

Applications

Applications Artificial Inteligence Artificial Intelligence Strategy

Audio Analysis With Machine Learning: Building AI-Fueled Sound Detection App

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. The approach finds application in security systems for user authentication. It’s vital for understanding surroundings in IoT applications.

Machine Learning

Machine Learning Artificial Inteligence Analysis Energy

App Modernization in the Digital Age: The Role of AI and ML in Application Modernization

OTS Solutions

AUGUST 16, 2023

Artificial Intelligence (AI) and Machine Learning (ML) have been at the forefront of app modernization, helping businesses to streamline workflows, enhance user experience, and improve app security measures. AI and ML are transforming the way applications are developed and optimized.

Artificial Inteligence

Artificial Inteligence Applications Artificial Intelligence Machine Learning

What is Machine Learning Engineer: Responsibilities, Skills, and Value Brought

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

Artificial Inteligence Machine Learning Engineering Data Engineering

Machine Learning at scale: first impressions of Kubeflow

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. Monitoring. Does it only do so at weekends, or near Christmas?

Machine Learning

Machine Learning Artificial Inteligence Software Review Open Source

How to take machine learning from exploration to implementation

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

Machine Learning Artificial Inteligence How To Case Study

All about Machine Learning

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.

Machine Learning

Machine Learning Artificial Inteligence Software Engineering Engineering

Building Modern Enterprise Architecture: How To Turn An Elephant Into A Streak Of Cheetahs

Crunchbase News

APRIL 9, 2024

Lightbulb moment Most enterprise applications are built like elephants: Giant databases, high CPU machines, an inside data center, blocking architecture, heavy contracts and more. If you really want to build a next-generation application, you have to rely on individual tools. Or will you embrace change?

Architecture

Architecture Enterprise How To Weak Development Team

Low-Code Development: Create Applications Without Programming Knowledge

Apiumhub

JUNE 12, 2024

Introduction In recent years, the landscape of application development has undergone a significant transformation. The rise of low-code platforms is revolutionizing how applications are built, deployed, and maintained. Low-code platforms empower non-developers to build applications, alleviating the burden on IT departments.

Software Review

Software Review Applications Programming Development

Evolving from Rule-based Classifier: Machine Learning Powered Auto Remediation in Netflix Data…

Netflix Tech

MARCH 4, 2024

Due to the migrations of different layers of the data platform and the diversity of applications, existing rules can be invalid, and adding new rules requires engineering efforts and also depends on the deployment cycle. More than 300 rules have been added to the classifier, yet about 50% of all failures remain unclassified.

Machine Learning

Machine Learning Artificial Inteligence Data Systems Review

AI chip startup Sima.ai bags another $30M ahead of growth

TechCrunch

MAY 25, 2022

Another company competing in the increasingly saturated segment is Sima.ai , which is developing a system-on-chip platform for AI applications — particularly computer vision applications. by the gap he saw in the machine learning market for edge devices. . After emerging from stealth in 2019, Sima.ai ” Sima.ai

Artificial Inteligence

Artificial Inteligence Machine Learning Hardware Architecture

Boomi burnishes API management capabilities

CIO

MAY 10, 2024

The Boomi AI Agent Framework allows the automation of repetitive application integration administration tasks. Boomi’s iPaaS (integration-platform-as-a-service) technology creates a platform that allows organizations to move data between different cloud-based applications, databases, and other workloads.

Conference

Conference Machine Learning Artificial Inteligence Programming

From edge to cloud: The critical role of hardware in AI applications

CIO

JUNE 6, 2023

The world has woken up to the power of generative AI and a whole ecosystem of applications and tools are quickly coming to life. For example, on our Wi-Fi chips used in phones, we steadfastly work on radio optimizations and architectural modifications, each generation with an eye to disruptively lower power consumption.

Hardware

Hardware Artificial Inteligence Applications Wireless

Astera Labs, a fabless chip startup, nabs $50M at a $950M valuation to remove bottlenecks in high-bandwidth cloud applications

TechCrunch

SEPTEMBER 27, 2021

As more enterprises migrate to cloud-based architectures, they are also taking on more applications (because they can) and, as a result of that, more complex workloads and storage needs. Machine learning and other artificial intelligence applications add even more complexity.

Artificial Inteligence

Artificial Inteligence Applications Cloud Artificial Intelligence

What is a data architect? Skills, salaries, and how to become a data framework master

CIO

OCTOBER 13, 2023

The data architect also “provides a standard common business vocabulary, expresses strategic requirements, outlines high-level integrated designs to meet those requirements, and aligns with enterprise strategy and related business architecture,” according to DAMA International’s Data Management Body of Knowledge.

Data

Data Database Administration Data Engineering Artificial Inteligence

Machine Learning with Python, Jupyter, KSQL and TensorFlow

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. Therefore, the majority of machine learning/deep learning frameworks focus on Python APIs.

Machine Learning

Machine Learning Artificial Inteligence Scalability Data Engineering

The AI continuum

CIO

JANUARY 24, 2024

AI’s broad applicability and the popularity of LLMs like ChatGPT have IT leaders asking: Which AI innovations can deliver business value to our organization without devouring my entire technology budget? It provides smart applications for translation, speech-to-text, cybersecurity monitoring and automation.

Artificial Inteligence

Artificial Inteligence Generative AI ChatGPT Machine Learning

Building a vision for real-time artificial intelligence

CIO

APRIL 12, 2023

After walking his executive team through the data hops, flows, integrations, and processing across different ingestion software, databases, and analytical platforms, they were shocked by the complexity of their current data architecture and technology stack. It isn’t easy.

Artificial Inteligence

Artificial Inteligence Artificial Intelligence Machine Learning Agile

How to Hire a Part-time Machine Learning Engineer

Mobilunity

DECEMBER 28, 2022

Machine Learning is a rapidly-growing field that is revolutionizing the way businesses work and collect data. The process of machine learning involves teaching computers to learn from data without being explicitly programmed. The Services That Machine Learning Engineers Can Offer. Deep learning.

Machine Learning

Machine Learning Artificial Inteligence Engineering How To

Real estate CIOs drive deals with data

CIO

JULY 26, 2023

While the Denver-based company’s cloud transformation long preceded Ligon’s arrival, with various business units adopting AWS and the IT team already developing cloud-native applications, in hiring Ligon, Re/Max’s top brass decided to “bring it all under control” of its first CIO.

Real Estate

Real Estate Data Generative AI Machine Learning

A Comprehensive Guide: What are the most popular Machine Learning Tools in 2023?

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

Artificial Inteligence Machine Learning Tools Artificial Intelligence

Skilled IT pay defined by volatility, security, and AI

CIO

OCTOBER 4, 2023

There’s also strong demand for non-certified security skills, with DevSecOps, security architecture and models, security testing, and threat detection/modelling/management attracting the highest pay premiums. AI skills more valuable than certifications There were a couple of stand-outs among those.

Security

Security Artificial Inteligence Generative AI Blockchain

Accelerating innovation with cloud-native apps on Microsoft Cloud

CIO

APRIL 11, 2023

We spoke with Siddhartha Gupta, Global Head of Application Modernization on Azure at Tata Consultancy Services (TCS) , about this trend and what financial services organizations need to do to improve their capacity for agility and innovation. To succeed, they must first build a culture of development within the organization.

Innovation

Innovation Cloud Fintech Azure

TransUnion transforms its business model with IT

CIO

APRIL 26, 2024

Once completed within two years, the platform, OneTru, will give TransUnion and its customers access to TransUnion’s behemoth trove of consumer data to fuel next-generation analytical services, machine learning models and generative AI applications, says Achanta, who is driving the effort, and held similar posts at Neustar and Walmart.

Artificial Inteligence

Artificial Inteligence Generative AI Machine Learning Analytics

Machine learning model serving architectures

Real-time Data, Machine Learning, and Results: The Evidence Mounts

Webinars

Trending Sources

Make the most of GPUs for machine learning applications

Webinars

What Is Machine Learning Used For

20 Machine Learning/Artificial Intelligence Influencers To Follow In 2020

20 Machine Learning/Artificial Intelligence Influencers To Follow In 2020

What is enterprise architecture? A framework for transformation

Harness the Power of Pinecone with Cloudera’s New Applied Machine Learning Prototype

What is Private Cloud Architecture: Complete Overview

Natural Language Processing & Machine Learning in Higher Education

7 tech trends that have changed the tech landscape in 2023

Machine Learning Pipeline: Architecture of ML Platform in Production

10 generative AI certs and certificate programs to grow your skills

How companies around the world apply machine learning

TraceAI : Machine Learning Driven App and API Security

Testing machine learning interpretability techniques

Architect defense-in-depth security for generative AI applications using the OWASP Top 10 for LLMs

ML.NET: A Robust Framework for Implementing Machine Learning in.NET Environments

ST Engineering showcases applications of new technologies to stay ahead of disruption

App Modernization in the Digital Age: The Role of AI and ML in Application Modernization

3 reasons why every real-time application needs AI

Audio Analysis With Machine Learning: Building AI-Fueled Sound Detection App

App Modernization in the Digital Age: The Role of AI and ML in Application Modernization

What is Machine Learning Engineer: Responsibilities, Skills, and Value Brought

Machine Learning at scale: first impressions of Kubeflow

How to take machine learning from exploration to implementation

All about Machine Learning

Building Modern Enterprise Architecture: How To Turn An Elephant Into A Streak Of Cheetahs

Low-Code Development: Create Applications Without Programming Knowledge

Evolving from Rule-based Classifier: Machine Learning Powered Auto Remediation in Netflix Data…

AI chip startup Sima.ai bags another $30M ahead of growth

Boomi burnishes API management capabilities

From edge to cloud: The critical role of hardware in AI applications

Astera Labs, a fabless chip startup, nabs $50M at a $950M valuation to remove bottlenecks in high-bandwidth cloud applications

What is a data architect? Skills, salaries, and how to become a data framework master

Machine Learning with Python, Jupyter, KSQL and TensorFlow

The AI continuum

Building a vision for real-time artificial intelligence

How to Hire a Part-time Machine Learning Engineer

Real estate CIOs drive deals with data

A Comprehensive Guide: What are the most popular Machine Learning Tools in 2023?

Skilled IT pay defined by volatility, security, and AI

Accelerating innovation with cloud-native apps on Microsoft Cloud

TransUnion transforms its business model with IT

Stay Connected