Are MLOps, Data-Centric AI, and Synthetic Data the Future of AI?

MLOps stands for Machine Learning Operations. It is a central part of machine learning engineering, and aims to simplify and automate the process of building machine learning models, deploying them to production, monitoring, and maintaining them over their lifecycle.
MLOps is a collaborative function jointly performed by data scientists, data analysts, DevOps engineers, machine learning engineers, and software developers..

Is Application Security the Next Frontier of Data Security?

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Application security (AppSec) is an integral part of the development lifecycle, ensuring applications are built with security against various threats, including insider threats and malicious intrusion. Internal threats can occur due to human error and malicious acts like phishing schemes, and external threats can involve malware and injection attacks.

Data Science vs. AI vs. Machine Learning vs. Data Mining

Most people often mix the terms Data Science, AI, Machine Learning, and Data Mining or use some of them interchangeably. But all of these terms have their separate meaning and stream. Data has always been a central element of any business to make precise decisions from granular data. Even though all of these terminologies are somehow interrelated to data, each has its characteristics. This article will give you a clear understanding of all these four terminologies and their differentiation..

5 Best Practices to Optimize Costs in Azure

Azure cost optimization lets you reduce cloud spending by matching the infrastructure you use in the Azure cloud to your actual requirements. The better the match, the lower your cloud costs. To take a simple example, if you are running virtual machines (VMs) on Azure and they are not utilized at all, this represents a mismatch between your cloud infrastructure and business needs. By shutting down the VMs, you can conserve costs.

Artificial Intelligence: Impacts on Society and the Economy in the Coming Decade

Artificial intelligence is software that performs tasks without human intervention or minimal intervention. To achieve this, developers and data scientists implement machine learning (ML) processes. These are essentially complex algorithms that teach machines various learning techniques.

A notable sub-field of ML is deep learning (DL), which has been said to significantly aid the development of various autonomous capabilities of AI..

Moving HPC to the Cloud: A Guide for 2020

High performance computing (HPC) enables you to leverage parallel processing for performing complex calculations. You can do that on-premises or in the cloud. All top cloud vendors, like Azure, AWS, GCP, and IBM, provide HPC offerings. This article explains what is HPC, why it’s important, what is the difference between HPC services, and what are the benefits of using cloud-based HPC.