Scalegrid

FEBRUARY 8, 2024

Handling Large Volumes of Data Distributed storage systems employ the technique of data sharding or partitioning to handle immense quantities of information. By breaking up large datasets into more manageable pieces, each segment can be assigned to various network nodes for storage and management purposes.

Storage 130

Storage Systems Big Data Azure 130

Scalegrid

MARCH 14, 2024

When delving into the networking aspect of a hybrid cloud deployment, complexities arise due to the requirement of linking or expanding existing on-premises network architectures into the cloud sphere. Capabilities for handling diverse data management functions are necessary. It should offer user-friendly operation.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

Alex Podelko

DECEMBER 19, 2019

Even when I took out the sessions that don’t directly cover the topics of my primary interests as well as mainframe-specific presentations, I ended up with 21 sessions in 2.5 Boris has unique expertise in that area – especially in Big Data applications. – Optimizing IT infrastructure – with specific use cases.

Efficiency 100

Efficiency Artificial Intelligence Scalability Performance 100

Testsigma

FEBRUARY 12, 2021

Presently we know it is far from easy to forecast the future – all of us have discovered this in 2020 through major ups and downs. But in expectation of the big developments in tech trials for 2021, as we had forecast of last year for 2020 , we are looking forward to renewed hope. Hyperautomation. Autonomous Test Automation.

Artificial Intelligence 92

Artificial Intelligence Software Software IoT 92

O'Reilly

SEPTEMBER 19, 2023

Each time, the underlying implementation changed a bit while still staying true to the larger phenomenon of “Analyzing Data for Fun and Profit.” ” They weren’t quite sure what this “data” substance was, but they’d convinced themselves that they had tons of it that they could monetize.

Hardware 98

Hardware Storage Big Data Blockchain 98

All Things Distributed

NOVEMBER 30, 2016

in ML and neural networks) and access to vast amounts of data. automatic speech recognition, natural language understanding, image classification), collect and clean the training data, and train and tune the machine learning models. We are in the early days of machine learning and artificial intelligence.

AWS 165

AWS Lambda Artificial Intelligence Mobile 165