O'Reilly Media - Ideas

FEBRUARY 5, 2019

Analysis of the O’Reilly online learning platform reveals a new approach to technical architecture, the rise of blockchain, and shifts in programming language adoption. The signs of a Next Architecture. There are four aspects of the Next Architecture, each of which shows up in the platform’s search and usage data.

Trends 85

Trends Artificial Inteligence Blockchain Microservices 85

Perficient

SEPTEMBER 27, 2023

In today’s fast-paced tech landscape, harnessing the potential of artificial intelligence (AI) alongside robust programming languages like Java and dynamic web frameworks like React has become essential for building cutting-edge applications. Java comes with a magnitude of libraries for machine learning such as Deeplearning4j.

Applications 52

Applications Artificial Inteligence Comparison Machine Learning 52

Apiumhub

JUNE 13, 2023

Software Development Experts Interviews Inma Navas Our first interview of “Talks with Software Development Experts,” was with Inma Navas, a software engineer and the winner of our Software Architecture Metrics book giveaway. In this project, she also developed an interest in software architecture.

Software Development 65

Software Development Software Review Software Development 65

O'Reilly Media - Ideas

JUNE 4, 2019

Get hands-on training in Docker, microservices, cloud native, Python, machine learning, and many other topics. Fundamentals of Machine Learning and Data Analytics , July 10-11. Essential Machine Learning and Exploratory Data Analysis with Python and Jupyter Notebook , July 11-12. Real-time Data Foundations: Spark , August 15.

Course 67

Course Training Artificial Inteligence Software Review 67

CircleCI

NOVEMBER 18, 2021

AIOps is an approach to managing the exponential growth of IT operations and the complexity of new technology through the application of artificial intelligence (AI). IT infrastructure increasingly relies on complicated deployments, multi-cloud architectures, and huge amounts of data. Cooperating with AI.

Artificial Inteligence 52

Artificial Inteligence Weak Development Team Artificial Intelligence Machine Learning 52

Trigent

MARCH 24, 2021

The rapid acceleration of digital transformation initiatives in the modern business landscape has brought emerging technologies such as artificial intelligence, machine learning, and automation to the fore. Artificial intelligence, machine learning, big data have all been spoken about extensively and form the very backbone of AIOps.

Artificial Inteligence 52

Artificial Inteligence Artificial Intelligence Machine Learning Infrastructure 52

Linux Academy

JANUARY 26, 2019

Compute- and storage-intensive applications find their way to the cloud because of the need to scale so large that on-premises data centers are simply no longer feasible. The impending release of 5G cellular networks will further increase the use of wireless platforms. Last but not least is cloud optimization.

Cloud 60

Cloud Artificial Inteligence Data Center Artificial Intelligence 60

Trigent

MARCH 24, 2021

The rapid acceleration of digital transformation initiatives in the modern business landscape has brought emerging technologies such as artificial intelligence, machine learning, and automation to the fore. Artificial intelligence, machine learning, big data have all been spoken about extensively and form the very backbone of AIOps.

Artificial Inteligence 52

Artificial Inteligence Artificial Intelligence Machine Learning Technical Review 52

O'Reilly Media - Ideas

JUNE 5, 2019

Get hands-on training in Docker, microservices, cloud native, Python, machine learning, and many other topics. Fundamentals of Machine Learning and Data Analytics , July 10-11. Essential Machine Learning and Exploratory Data Analysis with Python and Jupyter Notebook , July 11-12. Real-time Data Foundations: Spark , August 15.

Course 50

Course Training Artificial Inteligence Software Review 50

Gorilla Logic

MAY 19, 2021

Monetize data with technologies such as artificial intelligence (AI), machine learning (ML), blockchain, advanced data analytics , and more. Some of the most common include cloud, IoT, big data, AI/ML, mobile, and more. Internet of Things (IoT), big data, and AI/ML capabilities for software outsourcing.

Software Review 94

Software Review Technical Review Software Development Team Review 94

O'Reilly Media - Ideas

MAY 1, 2019

Artificial Intelligence: AI for Business , July 2. Spotlight on Data: Caching Big Data for Machine Learning at Uber with Zhenxiao Luo , June 17. Data Analysis Paradigms in the Tidyverse , May 30. Data Visualization with Matplotlib and Seaborn , June 4. Real-time Data Foundations: Kafka , June 11.

Course 46

Course Training Artificial Inteligence Machine Learning 46

O'Reilly Media - Ideas

APRIL 3, 2019

Artificial Intelligence: An Overview of AI and Machine Learning , May 15. TensorFlow Extended: Data Validation and Transform , May 16. Essential Machine Learning and Exploratory Data Analysis with Python and Jupyter Notebook , May 28-29. Artificial Intelligence: Real-World Applications , May 29. Blockchain.

Course 48

Course Artificial Inteligence Training Google Cloud 48

Kentik

MARCH 13, 2018

Hyperscale data centers are true marvels of the age of analytics, enabling a new era of cloud-scale computing that leverages Big Data, machine learning, cognitive computing and artificial intelligence. In this architecture, it is straightforward to identify bottlenecks and performance anomalies.

Data Center 40

Data Center Artificial Inteligence Data Load Balancer 40

Trigent

APRIL 14, 2022

Enterprise software also has disaggregated from a monolithic form split into microservices (via containers) where code, debugger, utilities, and algorithms may be contained within the container and control routed appropriately to the parent code block as required. And that can be a cause for worry. We are happy to share our learnings.

Enterprise 52

Enterprise Technology Artificial Inteligence IoT 52

Hu's Place - HitachiVantara

JANUARY 3, 2019

Workloads are becoming increasingly distributed, with applications running in public and private clouds as well as in traditional enterprise data centers. Applications are becoming more modular, leveraging containers and microservices as well as virtualization and bare metal.

Trends 86

Trends Artificial Inteligence Data Center Machine Learning 86

O'Reilly Media - Ideas

FEBRUARY 6, 2019

Get hands-on training in machine learning, microservices, blockchain, Python, Java, and many other topics. Artificial Intelligence: An Overview of AI and Machine Learning , March 20. Next Generation Decision Making: Pragmatic Artificial Intelligence , March 20-21. Artificial Intelligence for Robotics , March 21-22.

Artificial Inteligence 12

Artificial Inteligence Course Training Artificial Intelligence 12

O'Reilly Media - Ideas

MARCH 6, 2019

Artificial Intelligence for Big Data , April 15-16. Artificial Intelligence: AI For Business , May 1. Building Intelligent Bots in Python , May 7. Managing Enterprise Data Strategies with Hadoop, Spark, and Kafka , April 15. Real-Time Data Foundations: Flink , April 17.

Course 10

Course Artificial Inteligence Training Microservices 10

O'Reilly Media - Ideas

MARCH 12, 2019

O’Reilly Radar is a process that assimilates signals and data to track, map, and name technology trends that impact many aspects of modern business and living. Machine Learning / Artificial Intelligence. Next Architecture. The Next Architecture is not a cure-all or magic bullet. Why the change?

Artificial Inteligence 11

Artificial Inteligence Blockchain Architecture Artificial Intelligence 11

BPM

JANUARY 18, 2019

Now we’re seeing AI dominating the conversations (without a lot of actual adoption in the early majority), and RPA creating a lot of buzz, though companies adopting it are starting to realize that scaling an RPA based automation architecture is flawed by design. The microservice movement will reignite the need for orchestration.

Artificial Inteligence 111

Artificial Inteligence Artificial Intelligence Machine Learning Weak Development Team 111

Kentik

FEBRUARY 20, 2023

Gaining access to these vast cloud resources allows enterprises to engage in high-velocity development practices, develop highly reliable networks, and perform big data operations like artificial intelligence, machine learning, and observability. The resulting network can be considered multi-cloud.

Network 97

Network Infrastructure Cloud Artificial Inteligence 97

AWS Machine Learning - AI

FEBRUARY 1, 2024

Use a microservices approach to isolate other components from these less mature frameworks. Capacity We can think about capacity in two contexts: inference and training model data pipelines. This pattern achieves a statically stable architecture, which is a resiliency best practice.

Generative AI 110

Generative AI Disaster Recovery Artificial Inteligence AWS 110

Existek

JANUARY 27, 2023

For example, many financial institutions are now using artificial intelligence and machine learning to analyze customer data and identify new opportunities for growth. Another commonly used technology in software development for financial services, banks, and fintech is Microservices.

Software Development 52

Software Development Trends Technology Software 52

Abhishek Tiwari

DECEMBER 27, 2017

A common theme across all these trends is to remove the complexity by simplifying data management as a whole. In 2018, we anticipate that ETL will either lose relevance or the ETL process will disintegrate and be consumed by new data architectures. Unified data management architecture.

Trends 49

Trends Artificial Inteligence Data Big Data 49

Altexsoft

MARCH 30, 2020

Reported advantages: backing by IBM, the global leader in artificial intelligence; a wide range of functionality; first-class IBM’s customer support in justifying, planning, and delivering custom applications. Predix Platform architecture. Here’s the short review of some top industrial IoT platforms and their services.

Artificial Inteligence 72

Artificial Inteligence Machine Learning Technical Review IoT 72

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.

Conference 8

Conference Data Data Engineering Artificial Inteligence 8

O'Reilly Media - Ideas

JANUARY 25, 2022

What are the bigger changes shaping the future of software development and software architecture? It includes almost everything, from programming languages to cloud to architecture and more. Software architecture, Kubernetes, and microservices were the three topics with the greatest usage for 2021. Software Development.

Trends 110

Trends Technical Review Technology Artificial Inteligence 110

O'Reilly Media - Ideas

JANUARY 25, 2021

While we can’t compare in-person conference data with virtual event data, we can make a few observations. The most successful superstream series focused on software architecture and infrastructure and operations. The in-person O’Reilly Software Architecture Conference was small but growing. AI, Machine Learning, and Data.

Programming 145

Programming Cloud Artificial Inteligence Machine Learning 145