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.

Artificial Inteligence 122

Artificial Inteligence Machine Learning Analysis Energy 122

AWS Machine Learning - AI

APRIL 1, 2025

Model Context Protocol (MCP) is a standardized open protocol that enables seamless interaction between large language models (LLMs), data sources, and tools. Prerequisites To complete the solution, you need to have the following prerequisites in place: uv package manager Install Python using uv python install 3.13

AWS 115

AWS Software Review Knowledge Base Artificial Inteligence 115

Dell EMC

DECEMBER 30, 2019

Drawing on the power of machine learning, predictive analytics and the Apache Hadoop platform, Epsilon helps some of the world’s top brands get the right message to the right person at the right time. READ MORE.

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Artificial Inteligence Machine Learning Analytics Case Study 18

CIO

MAY 30, 2024

You’ll be tested on your knowledge of generative models, neural networks, and advanced machine learning techniques. The self-paced course covers prompt engineering in real-world case studies and gives you the opportunity to gain hands-on experience with the OpenAI API.

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Generative AI Artificial Inteligence Programming Azure 206

CIO

JUNE 24, 2024

It may seem like artificial intelligence (AI) became a media buzzword overnight, but this disruptive technology has been at the forefront of our agenda for several years at Digital Realty. Here’s what we’ve learned is necessary to successfully navigate the inevitable disruption and come out ahead by harnessing AI’s potential.

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Artificial Inteligence Data Center Machine Learning Case Study 158

Toptal

JUNE 22, 2017

How do top organizations use machine learning? Sib Mahapatra, Editor of Toptal Insights, shares case studies demonstrating how machine learning is deployed today to help companies of all sizes create value, cut costs and drive ROI.

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Artificial Inteligence Machine Learning Company Case Study 80

CIO

AUGUST 21, 2024

In this post, we’ll touch on three such case studies. Global insurance company A large insurance company adopted a cloud-based document management system to enable paperless operations around the world and simplify regulatory compliance.

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Case Study Study Enterprise Insurance 166

AWS Machine Learning - AI

MARCH 14, 2025

Organizations building and deploying AI applications, particularly those using large language models (LLMs) with Retrieval Augmented Generation (RAG) systems, face a significant challenge: how to evaluate AI outputs effectively throughout the application lifecycle.

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Knowledge Base Applications Artificial Inteligence Generative AI 88

Altexsoft

FEBRUARY 5, 2020

In this article, we’ll discuss what the next best action strategy is and how businesses define the next best action using machine learning-based recommender systems. The funnel for each customer is unique as each customer learns about a company or its services at their own pace and style. Rule-based recommendations.

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Artificial Inteligence Machine Learning Marketing How To 110

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.

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Artificial Inteligence Machine Learning Technical Review Software Review 103

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.

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Artificial Inteligence Machine Learning Web Development Software Review 75

InfoQ Culture Methods

MARCH 7, 2024

When testing machine learning systems, we must apply existing test processes and methods differently. Machine Learning applications consist of a few lines of code, with complex networks of weighted data points that form the implementation.

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Artificial Inteligence Machine Learning Testing Training 91

Palo Alto Networks

NOVEMBER 6, 2024

Embracing AI for Enhanced Security Operations The AI-native SOC model aims to address these challenges by leveraging artificial intelligence and machine learning to automate routine tasks and enhance threat detection capabilities.

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Artificial Inteligence Firewall Analysis Network 114

InfoQ Culture Methods

FEBRUARY 16, 2023

Have you ever wondered about systems based on machine learning? In those cases, testing takes a backseat. And even if testing is done, it’s done mostly by developers itself. A tester’s role is not clearly portrayed. Testers usually struggle to understand ML-based systems and explore what contributions they can make.

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Artificial Inteligence Machine Learning System Testing 94

O'Reilly Media - Ideas

JANUARY 14, 2025

This year, one thread that we see across all of our platform is the importance of artificial intelligence. Artificial Intelligence It will surprise absolutely nobody that AI was the most active category in the past year. For the past two years, large models have dominated the news. Is that noise or signal?

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Trends Technology Security Artificial Inteligence 130

OTS Solutions

JULY 28, 2022

AI ( Artificial Intelligence ). AI (artificial intelligence) and machine learning (learning by machines) have been getting a lot of attention lately as digital trends in many fields. The world of finance is being changed by fintech, automated technology, and machine learning algorithms.

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Artificial Inteligence Blockchain Banking Fintech 204

Altexsoft

MARCH 27, 2019

We’ll discuss collecting data about client relationship with a brand, characteristics of customer behavior that correlate the most with churn, and explore the logic behind selecting the best-performing machine learning models. Identifying at-risk customers with machine learning: problem-solving at a glance.

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Artificial Inteligence Machine Learning Weak Development Team Windows 87

Dataiku

MARCH 13, 2019

Yet many organizations still use more traditional modeling for fraud or anomaly detection instead of making the shift to machine learning.

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Artificial Inteligence Machine Learning Industry System 73

Apiumhub

JULY 5, 2018

Artificial Intelligence is really taking over the world. Read on to learn more about the importance of artificial intelligence in eCommerce. Artificial intelligence in eCommerce: statistics & facts. Let’s continue with Artificial intelligence to see how they are actually linked.

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Artificial Inteligence Artificial Intelligence Case Study eCommerce 66

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. ML and AI in mobile apps have become the norm.

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Artificial Inteligence Applications Artificial Intelligence Machine Learning 130

TechCrunch

MARCH 3, 2023

Artificial intelligence is a on everyone’s lips at the moment, “and at the FTC, one thing we know about hot marketing terms is that some advertisers won’t be able to stop themselves from overusing and abusing them.” 1 Case study slide No. Full TechCrunch+ articles are only available to members.

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Survey Artificial Inteligence Case Study Open Source 233

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. ML and AI in mobile apps have become the norm.

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Artificial Inteligence Applications Machine Learning Artificial Intelligence 130

TechCrunch

MARCH 10, 2022

This is very much a clean way of doing advertising, and we fill the gap with no privacy data, but math and machine learning. “I don’t agree that ads should be a guessing game,” Ye added. What sets us apart is how easy it is, which is why advertising technology has traditionally had a bad rep.”.

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Advertising Advertising Technology Retail Artificial Inteligence 225

AWS Machine Learning - AI

SEPTEMBER 26, 2024

Amazon SageMaker HyperPod, introduced during re:Invent 2023, is a purpose-built infrastructure designed to address the challenges of large-scale training. It removes the undifferentiated heavy lifting involved in building and optimizing machine learning (ML) infrastructure for training foundation models (FMs).

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Case Study Video Training Scalability 111

CIO

JUNE 24, 2024

Artificial intelligence (AI) and high-performance computing (HPC) have emerged as key areas of opportunity for innovation and business transformation. Machine learning requires fewer resources, while deep learning and generative AI require massive environments due to their complexity.

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Data Center Artificial Inteligence Case Study Sustainability 166

AWS Machine Learning - AI

NOVEMBER 22, 2024

These case studies demonstrate our ability to handle complex technical infrastructure projects across different industries. This powerful tool can extend the capabilities of LLMs to specific domains or an organization’s internal knowledge base without needing to retrain or even fine-tune the model.

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Generative AI AWS Technical Review Backup 78

O'Reilly Media - Ideas

JANUARY 16, 2019

The program for our Artificial Intelligence Conference in New York City will showcase tools, best practices, and use cases from companies leading the way in AI adoption. In early 2018, we conducted a survey to gauge the rate of adoption of deep learning. Company culture and targeting the right use cases.

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Artificial Inteligence Artificial Intelligence Machine Learning Conference 101

Hacker Earth Developers Blog

DECEMBER 4, 2024

Example: “Imagine you’re explaining how machine learning works to a client with no technical background. Strong candidates use analogies or simple language to make technical topics accessible. Case studies: Present a real-world problem requiring teamwork to resolve. How would you describe it?”

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Recruiting Technical Review Software Review Exercises 130

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. Machine learning and artificial intelligence are complex concepts. AIOps seems to be all the rage these days, and it’s not hard to figure out why.

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Artificial Inteligence Tools Machine Learning Artificial Intelligence 145

CIO

MAY 9, 2024

Case study: esynergy e synergy , a consultancy that builds AI solutions for clients (and a DataStax customer), has incorporated genAI into several internal functions. The benefits are particularly impactful for its sales team, said Prasad Prabhakaran, Head of Artificial Intelligence at the company.

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Enterprise Artificial Inteligence Artificial Intelligence Technical Review 183

iTexico

SEPTEMBER 8, 2020

Machine Learning Applications: AI Virtual Assistants Helping Business Continuity. The challenges that 2020 has set provided fuel for the fire, accelerating applications of artificial intelligence across every field. Let’s take, for instance, our HAL case study. Needless to say, it’s been a memorable year.

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Artificial Inteligence Machine Learning Business Continuity Virtualization 52

John Snow Labs

MAY 8, 2024

Pathology, an aspect of diagnosis is undergoing significant changes, with the emergence of Large Language Models (LLMs). Propelled by advancements in intelligence (AI) and machine learning (ML) LLMs are reshaping the way we analyze and interpret the intricate datasets found in pathology.

Artificial Inteligence 40

Artificial Inteligence Healthcare Case Study Training 40

Altexsoft

JULY 19, 2019

However, it only starts gaining real power with the help of artificial intelligence (AI) and machine learning (ML). The fusion between AI technologies and RPA was named Intelligent or Cognitive Automation. In a nutshell, AI is a broad concept of creating a machine able to solve narrow problems like humans do.

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Artificial Inteligence Artificial Intelligence Analysis Technology 78

CIO

AUGUST 8, 2024

To illustrate, Farys expects a 20% cost reduction potential due to increased efficiency in administration and business operations as a result of integration between all components, one source of truth, and extensive analytics, with the ability to unlock artificial intelligence (AI) and machine learning (ML).

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Sustainability Artificial Inteligence Systems Review Technical Review 179

Mobilunity

NOVEMBER 11, 2024

It’s all possible thanks to LLM engineers – people, responsible for building the next generation of smart systems. While we’re chatting with our ChatGPT, Bards (now – Geminis), and Copilots, those models grow, learn, and develop. So, what does it take to be a mighty creator and whisperer of models and data sets?

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Artificial Inteligence Handbook Engineering Technical Review 52

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. Machine learning and artificial intelligence are complex concepts. AIOps seems to be all the rage these days, and it’s not hard to figure out why.

Artificial Inteligence 124

Artificial Inteligence Tools Machine Learning Artificial Intelligence 124