Hu's Place - HitachiVantara

MAY 10, 2019

Rule-based fraud detection software is being replaced or augmented by machine-learning algorithms that do a better job of recognizing fraud patterns that can be correlated across several data sources. DataOps is required to engineer and prepare the data so that the machine learning algorithms can be efficient and effective.

Data 90

Data Machine Learning Artificial Inteligence Weak Development Team 90

O'Reilly Media - Ideas

MARCH 1, 2023

Our data shows us what O’Reilly’s 2.8 Content about software development was the most widely used (31% of all usage in 2022), which includes software architecture and programming languages. Looking at searches is worthwhile, but it’s important to realize that search data and usage data often tell different stories.

Trends 134

Trends Technical Review Technology Software Review 134

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

Mobilunity

NOVEMBER 24, 2021

The demand for specialists who know how to process and structure data is growing exponentially. In most digital spheres, especially in fintech, where all business processes are tied to data processing, a good big data engineer is worth their weight in gold.

Development 52

Development Storage Recruiting Architecture 52

Cloudera

MAY 27, 2021

No matter how good the intentions behind the development of a technology, someone is bound to corrupt and manipulate it. Big data and AI amplify the problem. “If If you have bad intentions, you can make it very bad,” said Michael Stiefel, a principal at Reliable Software Inc. and a consultant on software development. .

Artificial Inteligence 119

Artificial Inteligence Artificial Intelligence Technical Review Systems Review 119

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