UruIT

DECEMBER 31, 2018

The conference covers approaches and technologies such as chaos engineering, serverless, and cloud, in addition to a range of leadership and business skills. Strata Data Conference. Course titles include (among others) Big Data for Managers, Hands-On Data Science with Python, and Building a Serverless Big Data Application on AWS.

Conference 89

Conference CTO Coach Fractional CTO Serverless 89

OTS Solutions

MAY 2, 2023

Embrace AIOps (AI operations) to support multi-cloud and microservices. Johnson & Johnson’s Digital Health Leadership Program has also helped to train its employees to adopt innovative digital technologies. Leadership involvement in the project is key to its success.

Artificial Inteligence 130

Artificial Inteligence Artificial Intelligence Machine Learning Blockchain 130

Altexsoft

FEBRUARY 11, 2020

With the rise of big data, organizations are collecting and storing more data than ever before. This data can provide valuable insights into customer needs and assist in creating innovative products. Unfortunately, this also makes data valuable to hackers, seeking to infiltrate systems and exfiltrate information.

Tools 109

Tools Linux Analysis Open Source 109

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

APRIL 3, 2019

Leadership Communication Skills for Managers , May 16. Data science and data tools. Apache Hadoop, Spark, and Big Data Foundations , April 22. Data Structures in Java , May 1. Cleaning Data at Scale , May 13. Big Data Modeling , May 13-14. Fundamentals of Data Architecture , May 20-21.

Course 48

Course Artificial Inteligence Training Google Cloud 48

Apiumhub

AUGUST 12, 2021

This year you will have 6 unique tracks: Cloud Computing: IaaS, PaaS, SaaS DevOps: Microservices, Automation, ASRs Cybersecurity: Threats, Defenses, Tests Data Science: ML, AI, Big Data, Business Analytics Programming languages: C++, Python, Java, Javascript,Net Future & Inspire: Mobility, 5G data networks, Diversity, Blockchain, VR.

Industry 59

Industry Technical Advisors CTO Coach Azure 59

O'Reilly Media - Ideas

APRIL 13, 2023

Early adopters have focused on smart contracts and decentralized apps (dApps), but the next wave is much more extensive, encompassing social applications, provable AI execution and training data provenance, big data processing like transcode or map-reduce, and asset delivery for gaming, metaverse, and media.

Technical Review 136

Technical Review Authentication Storage Serverless 136

O'Reilly Media - Ideas

MARCH 6, 2019

Artificial Intelligence for Big Data , April 15-16. Introduction to Leadership Skills , March 26. Introduction to Leadership Skills , April 22. Microservice Fundamentals , April 15. Microservice Collaboration , April 16. Domain-Driven Design and Event-Driven Microservices , May 14-15. Web programming.

Course 10

Course Artificial Inteligence Training Microservices 10

Altexsoft

JULY 4, 2022

In a small company, infrastructure engineers will likely be masters of all trades while in enterprises, this position may focus on a specific problem like cloud migration, continuous app deployments, or designing big data structures. Most common duties of an infrastructure engineer. Among skills gained are.

Infrastructure 64

Infrastructure Engineering Technical Review Google Cloud 64

O'Reilly Media - Ideas

FEBRUARY 6, 2019

Get hands-on training in machine learning, microservices, blockchain, Python, Java, and many other topics. Leadership Communication Skills for Managers , March 14. Data science and data tools. Business Data Analytics Using Python , February 27. Designing and Implementing Big Data Solutions with Azure , March 11-12.

Artificial Inteligence 11

Artificial Inteligence Course Training Artificial Intelligence 11

Instaclustr

OCTOBER 14, 2019

I’ll start with this presentation as it was by Instaclustr’s co-founder and CTO, Ben Bromhead, on the “state of the community”, from the perspective of a leadership position in a company with a long term (since 2013) interest in the Apache Cassandra project. Apache Cassandra community health—Ben Bromhead, Scott Andreas. Kai Waehner.

Technical Review 36

Technical Review Technology Report Open Source 36

Instaclustr

OCTOBER 14, 2019

I’ll start with this presentation ( available here ) as it was by Instaclustr’s co-founder and CTO, Ben Bromhead, on the “state of the community”, from the perspective of a leadership position in a company with a long term (since 2013) interest in the Apache Cassandra project. Kai Waehner. acts as a buffer), etc. Apache GeoMesa.

Technical Review 28

Technical Review Technology Report Open Source 28

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. He entered the big data space in 2013 and continues to explore that area. He also holds an MBA from Colorado State University.

Generative AI 104

Generative AI Disaster Recovery Artificial Inteligence AWS 104

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. New leadership models with networks replacing hierarchies—the recognition that the top-down approach is too slow, catalyzing a move toward decentralization and teams.

Artificial Inteligence 10

Artificial Inteligence Blockchain Architecture Artificial Intelligence 10

O'Reilly Media - Ideas

JANUARY 25, 2021

We’ll be working with microservices and serverless/functions-as-a-service in the cloud for a long time–and these are inherently concurrent systems. It’s possible that AI (along with machine learning, data, big data, and all their fellow travelers) is descending into the trough of the hype cycle. Serverless (a.k.a.

Programming 145

Programming Cloud Artificial Inteligence Machine Learning 145