Trigent

OCTOBER 28, 2021

AI plays an important role in enhancing the user experience across all the six segments of the Media and Entertainment (M&E) industry: Films & TV, social media, journalism, gaming, music, and sports. AI has a coveted place in social media and journalism too. Customer-focused experience with content personalization.

Media 105

Media Artificial Inteligence Sport Artificial Intelligence 105

Perficient

JANUARY 25, 2024

Machine Learning Era (1990s-2010s): Machine Learning Era The dawn of this era was defined by a paradigm shift towards data-driven approaches, primarily through the advent and refinement of machine learning and artificial neural networks. The Transformer — model architecture. [1]

Generative AI 52

Generative AI Artificial Inteligence Artificial Intelligence Training 52

d2iq

AUGUST 18, 2022

Security Is Imperative Security is emphasized throughout the DoD Software Modernization Strategy, including the imperative that the new software capabilities “must augment and integrate with other infrastructure components to include Zero Trust Architectures (ZTA).”

Government 59

Government Journal Guidelines Open Source 59

Newgen Software

NOVEMBER 20, 2023

By simulating various scenarios, whether it’s the interaction of molecules for a drug or the structural integrity of a new architectural concept, it provides invaluable foresight that can guide further research or development. Journalism: GenAI aids journalists in more ways than just article drafting. AI vs. Generative AI.

Artificial Inteligence 52

Artificial Inteligence Artificial Intelligence Generative AI Insurance 52

O'Reilly Media - Data

APRIL 12, 2018

The human side of data science, machine learning/AI, and scientific computing is more important than ever. Extensible user interfaces for data science, machine learning/AI, and scientific computing (JupyterLab). A meta-theme that ties these together is extensible software architecture for interactive computing with data.

Data 105

Data Software Review Technical Review Machine Learning 105

The Accidental Successful CIO

MAY 15, 2019

CIOs need to understand what they are going to do with big data Image Credit: Merrill College of Journalism Press Releases. Is this going to require a new architecture? In order to make this happen, CIOs are going to need to have data scientists optimize their systems so that machine learning can happen.

Big Data 85

Big Data Data Machine Learning Artificial Inteligence 85

Altexsoft

OCTOBER 22, 2021

In this post, we’ll explain what deep learning is, how it works, how it’s different from traditional machine learning, and what areas it can be applied within. Get ready because you’re about to go deep into deep learning. What is deep learning? Artificial intelligence vs machine learning vs deep learning.

Artificial Inteligence 52

Artificial Inteligence Artificial Intelligence .Net Machine Learning 52

Apiumhub

APRIL 1, 2021

Learning data science through books will help you get a holistic view of Data Science as data science is not just about computing, it also includes mathematics, probability, statistics, programming, machine learning, and much more. You will also learn about scholastic models and six sigma towards the end of the book.

Artificial Inteligence 52

Artificial Inteligence Data Handbook Machine Learning 52

The Cipher Brief

JUNE 2, 2021

The government’s information architecture will have to be re-configured to meet the challenge posed by the Chinese state. Machine learning and natural language processing systems are required to do this at scale: the Chinese Knowledge Resource Database, for example, has over 71 million academic journals.

Organization 35

Organization Journal Government Artificial Inteligence 35

CIO

OCTOBER 18, 2023

In September 2021, Fresenius set out to use machine learning and cloud computing to develop a model that could predict IDH 15 to 75 minutes in advance, enabling personalized care of patients with proactive intervention at the point of care. CIO 100, Digital Transformation, Healthcare Industry, Predictive Analytics

Artificial Inteligence 334

Artificial Inteligence Analytics Artificial Intelligence Machine Learning 334

CIO

DECEMBER 5, 2023

54% of IT Decision Makers also expect to use cloud capabilities to leverage Artificial Intelligence (AI)/Machine Learning (ML) over the next year, which many see as a potential game changer for their industries. These ground-breaking results were published in the July edition of the scientific journal Nature.

Cloud 246

Cloud Artificial Inteligence Artificial Intelligence Compliance 246

Altexsoft

NOVEMBER 1, 2023

A corpus can range from a set of news articles to academic journals or even social media posts. Word embeddings translate words or phrases into numerical vectors of fixed size, making it easier for machine learning models to process. This is a collection of texts used for linguistic analysis and training NER models. Why use it?

Artificial Inteligence 52

Artificial Inteligence Machine Learning Systems Review Training 52

Confluent

FEBRUARY 13, 2019

Part 1 of this series discussed why you need to embrace event-first thinking, while this article builds a rationale for different styles of event-driven architectures and compares and contrasts scaling, persistence and runtime models. In this way, we don’t think about solution architecture in just one dimension. Data evolution.

Architecture 88

Architecture Programming Microservices Serverless 88

Confluent

SEPTEMBER 26, 2019

explains in more detail why many new integration architectures leverage Apache Kafka instead of legacy tools like RabbitMQ, ETL, and ESB. Kafka Connect is a core component in event streaming architecture. Kafka often acts as the core foundation of a modern integration layer. In addition, it is often used for smaller datasets (e.g.,

Analytics 20

Analytics Serverless Blockchain Microservices 20

AWS Machine Learning - AI

MARCH 14, 2024

Beyond hardware, data cleaning and processing, model architecture design, hyperparameter tuning, and training pipeline development demand specialized machine learning (ML) skills. RAG has higher complexity than prompt engineering because you need to have coding and architecture skills to implement this solution.

Generative AI 101

Generative AI AWS Applications Artificial Inteligence 101

d2iq

JANUARY 23, 2023

Edge devices in combination with AI and machine learning are seen as giving rise to the next Industrial Revolution, characterized by the decentralization of computing, communications, and business processes. Hyperconnected networks , says PwC, are pushing closer and closer to ubiquitous connectivity. also is a key element of the U.S.

Artificial Inteligence 69

Artificial Inteligence Artificial Intelligence IoT Data Center 69

Confluent

JUNE 26, 2019

In these projects, microservice architectures use Kafka as an event streaming platform. Everybody is talking about creating an agile and flexible architecture with microservices , a term that is used today in many different contexts. What technology should you use to build microservice architectures? Microservices.

Microservices 109

Microservices Software Review Technical Review Architecture 109

Altexsoft

JULY 29, 2022

Source: The Wall Street Journal. a suitable technology to implement data lake architecture. Apache Hadoop architecture. Under the hood, the framework divides a chunk of Big Data into smaller, digestible parts and allocates them across multiple commodity machines to be processed in parallel. The Hadoop toy.

Big Data 59

Big Data Data Google Cloud Storage 59

Confluent

OCTOBER 10, 2019

Machine learning plays a huge role in many of these use cases, regardless of the industry, and you can read Using Apache Kafka to Drive Cutting-Edge Machine Learning for more insights. Let’s now take a look at the 10,000-foot view of a robust IoT integration architecture. Example: Severstal.

IoT 20

IoT Internet Weak Development Team Scalability 20

O'Reilly Media - Ideas

SEPTEMBER 11, 2019

Machine learning, artificial intelligence, data engineering, and architecture are driving the data space. The Strata Data Conferences helped chronicle the birth of big data, as well as the emergence of data science, streaming, and machine learning (ML) as disruptive phenomena. The term “microservices” was at No.

Conference 8

Conference Data Data Engineering Artificial Inteligence 8

John Snow Labs

MAY 8, 2024

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. By leveraging AI and machine learning technologies pathology is heading towards a future where diagnosesre faster more precise and tailored to patients.

Artificial Inteligence 40

Artificial Inteligence Healthcare Case Study Training 40

Mentormate

FEBRUARY 12, 2024

The Advantages of Open-Source LLMs Far from a novel concept, the roots of open-source software’s impact on machine learning continue to evolve ever since they were planted in 2007 (Sonnenburg, 2007). Stay tuned for our upcoming blog posts, where we will explore the Retrieval Augmentation Generation (RAG) architecture.

Open Source 52

Open Source Artificial Inteligence Machine Learning Education 52

d2iq

FEBRUARY 8, 2023

These capabilities, says the DoD, “must augment and integrate with other infrastructure components to include Zero Trust Architectures (ZTA).”The Secure by Design D2iQ CTO Deepak Goel’s article “ Implementing Zero Trust on Kubernetes ,” which was chosen Best of 2022 by Container Journal , offers best practices for achieving zero trust.

Government 69

Government Open Source Conference Journal 69

Puppies, Flowers, Rainbows and Kittens

FEBRUARY 22, 2023

Even in its earliest days, it solved many problems for us in a massively micro-service architecture. Web3 is B t [link] t.html by Stephen Diehl You’ll probably hear the fuzzy term web3 bandied about in the press if you read tech journalism. I’ve broken it into sections based on content. He even gives some good advice. So worth a read.

Weak Development Team 45

Weak Development Team Technical Review Culture Agile 45

Altexsoft

APRIL 27, 2021

It utilizes the REST API architecture, implemented upon HTTPS (HTTP Secure) protocol, and enables health systems to exchange data in JSON and XML formats. Features exposed: NLP engines and machine learning algorithms to derive insights from unstructured medical documents. Drug interaction checking via APIs. openFDA APIs.

Healthcare 69

Healthcare Software Review Technical Review Systems Review 69

Altexsoft

JULY 10, 2023

Generative Adversarial Networks (GANs) Generative Adversarial Networks , commonly called GANs , are a class of machine learning algorithms that harness the power of two competing neural networks – the generator and the discriminator. GANs architecture. How GANs work in a nutshell. Overview and features. Source: Adams et al.,

Applications 64

Applications Artificial Inteligence Training Film 64