CREATING BUSINESS VALUE WITH THE DIGITAL ENTERPRISE

whitePaper | June 30, 2022

Low code and no code (LCNC) development platforms expedite the creation of new applications with minimal or no coding requirements, as well as offer tools for non-programmers to create applications of their own. Low code development was introduced in the early 2000s to increase developer productivity. It uses a variety of approaches that automate and abstract application development activities, such as drag and drop editors, code generation, component assembly and model-driven development.

whitePaper | March 30, 2022

The Stanford Institute for Human-Centered Artificial Intelligence (HAI) offers the following submission for consideration in response to the Request for Information(RFI) by the White House Office of Science and Technology to the Update of the National Artificial Intelligence Research and Development Strategic Plan.

whitePaper | December 1, 2021

The health and vibrancy of our national economy depends on the health and vibrancy of our organizations. How an organization is staffed is a key driver of its health. Yet only one in three executives rates his or her company as “very effective” at reducing unsuccessful hiring decisions (Bravery et al., 2019). Thus, industrial-organizational (I-O) psychologists help organizations thrive by choosing the right talent for the right job at the right time, using the most accurate, cost effective, and fair tools available (Ployhart, Schmitt, & Tippins, 2017).

whitePaper | May 9, 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 | December 22, 2022

Machine learning, one of the key building blocks of AI, has been a part of the technological world since the 1950s, when the earliest programmers asked computers to make sense of large sets of data. Programmers have increasingly refined the ability of machines to study data in order to detect patterns that allow computers to then organise information, identify relationships, make predictions and detect anomalies. Today, modern applications of AI have already given us self-driving cars and virtual assistants and have helped us detect fraud and manage resources like electricity more efficiently. Sectors as diverse as retail, sports, banking, manufacturing and healthcare have all found applications for machine learning and AI.

whitePaper | August 10, 2020

2020 has posed significant, unexpected challenges to the world – and to IT departments in most organizations. Work practices have shifted rapidly and, given the volatile economic climate, many organizations are looking to protect against uncertainty and ensure business continuity by implementing cost savings initiatives. As an IT leader, you and your team are uniquely positioned to deliver added value to the organization by leveraging Technology Intelligence data to find these additional cost savings opportunities.