The future of AI is hybrid

whitePaper | November 3, 2022

At Land O’Lakes, a member-owned cooperative agribusiness, farmers are using data and artificial intelligence to make smarter decisions. Over the past 30 years, corn farmers have used advances in bioengineering, chemicals, and analytics to boost their average yields by 50%, from 120 to 180 bushels per acre. T

whitePaper | September 28, 2022

Architecting IT infrastructure has never been more challenging than it is today. Many enduser workloads, such as semiconductor design, autonomous driving development, and life sciences and healthcare are growing more complex every day. With that complexity comes growing demand on IT.

whitePaper | January 15, 2022

An API is a set of routines, protocols and tools for building software applications. They are typically used to expose data or services that can be consumed by other applications. Depending on their purpose, APIs can be used internally, with partners or made available to the general public. This may not sound like something the average consumer cares about, but behind every mobile app and every modern online experience there is at least one API.

whitePaper | April 25, 2023

Artificial Intelligence (AI) is changing our world. In the future, AI will be essential to cybersecurity and application security testing. Organizations require AI to secure assets that power their business. As cyber-attacks become more sophisticated and widespread and leverage AI, organizations will need to rely on AI-powered security solutions to protect their systems and data.

whitePaper | December 28, 2022

This document is published by the World Economic Forum as a contribution to a project, insight area or interaction. The findings, interpretations and conclusions expressed herein are a result of a collaborative process facilitated and endorsed by the World Economic Forum but whose results do not necessarily represent the views of the World Economic Forum, nor the entirety of its Members, Partners or other stakeholders.

whitePaper | August 6, 2020

The purpose of any data acquisition system is to gather useful measurement data for characterization, monitoring, or control. The specific parameters of your application will dictate the resolution, accuracy, channel count, and speed requirements of a data acquisition system. A wide assortment of data acquisition components and solutions is available on the market, including low-cost USB modules, benchtop data loggers, and large channel systems. Before you start your search for a data acquisition solution, carefully analyze your application requirements to understand how much capability and performance you need to purchase.