Transform your Enterprise with SAP’s Digital Core

March 22, 2016

Past research on the effect of ERP systems on agility is contradictory, and research on the post implementation effects of ERP systems on agility is limited. Employing a cross sectional field study, this exploratory study analyses how key defining features of enterprise systems environment—integration, process optimisation, and best practices—affect agility. Standardisation of processes has mixed effect on agility and depends on the extent of standardisation implemented and whether it included prior simplification. Rather than the ERP-system enabled environment, the inadequacies in implementation and poor process optimisation prior to ERP implementation are restricting process agility.

Spotlight

Mattermost

Mattermost is an open source platform for secure collaboration across the entire software development lifecycle. Hundreds of thousands of developers around the globe trust Mattermost to increase their productivity by bringing together team communication, task and project management, and workflow orchestration into a unified platform for agile software development. Founded in 2016, Mattermost’s open source platform powers over 800,000 workspaces worldwide with the support of over 4,000 contributors from across the developer community. The company serves over 900 customers, including European Parliament, NASA, Nasdaq, Samsung, SAP, United States Air Force and Wealthfront, and is backed by world-class investors including Battery Ventures, Redpoint, S28 Capital, YC Continuity. To learn more, visit www.mattermost.com.

OTHER WHITEPAPERS
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Unleash data and AI forcompetitive advantageReady your data for AIand multicloud

whitePaper | January 10, 2020

Instead of following a set of rote, preprogrammed instructions, AI enables machines to learn, and then “act,” on information. Your voice-activated phone, technologies such as speech and image recognition, autonomous vehicles, the smart devices in your home—all of these advances were made possible by AI technology. AI also marks a fundamental advancement in critical, often time-consuming, business processes. It’s poised to dramatically enhance human decision-making and improve an organization’s ability to make predictions, automate business practices, and optimize logistics.

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The 2023 AI and Machine Learning Research Report

whitePaper | February 23, 2023

In December 2022, Rackspace Technology® polled 1,420 IT professionals throughout the world and across multiple industry verticals. Survey respondents worked in financial services, manufacturing, retail, hospitality, government and healthcare in the Americas, Europe, Asia and the Middle East.

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CIO vision 2025: Bridging the gap between BI and AI

whitePaper | September 23, 2022

It’s been several years since organizations began adopting artificial intelligence (AI) to improve their business; few have come close to mastering its existing capabilities. A small number of organizations in our research aim to become AI-driven—a status we define as AI and machine learning underpinning almost everything the enterprise does—by 2025. However, this elite group—who we term “AI leaders”1—as well as the many others looking simply to embed AI more firmly in the enterprise foundations face formidable challenges to achieving their objectives.

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Using Cloud-Driven Technology to Help Establish a New Normal

whitePaper | July 31, 2020

The current COVID pandemic has paralyzed large parts of our industry with significant movement limitations, occupancy restrictions, and in some cases complete shutdowns. Now, as the initial threat seems to be subsiding, governments and businesses must determine what is required to get back to some sense of normalcy. The biggest hurdles will be regulatory and/or safety-driven. Although the timelines and requirements for the easing of restrictions vary greatly, there are two common threads: limiting occupancy levels and contact tracing individuals who have tested positive for the virus.

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Generative AI and Stable Diffusion Image Generation on the Dell PowerEdge XE9680 Server

whitePaper | June 29, 2023

Generative artificial intelligence (AI) is impacting many aspects of the business community. ChatGPT and other similar large language models (LLMs) have captured attention for their amazing ability to create human-like prose.1,2 Additionally, generative AI can create visually captivating artistic content, encompassing images, videos, and audio. Langevin diffusion deep learning models are primarily employed to generate this content, with open-source image generation models, such as Stable Diffusion, being the most popular approach.

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Recommendations on Updating the National Artificial Intelligence Research and Development Strategic Plan

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.

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Spotlight

Mattermost

Mattermost is an open source platform for secure collaboration across the entire software development lifecycle. Hundreds of thousands of developers around the globe trust Mattermost to increase their productivity by bringing together team communication, task and project management, and workflow orchestration into a unified platform for agile software development. Founded in 2016, Mattermost’s open source platform powers over 800,000 workspaces worldwide with the support of over 4,000 contributors from across the developer community. The company serves over 900 customers, including European Parliament, NASA, Nasdaq, Samsung, SAP, United States Air Force and Wealthfront, and is backed by world-class investors including Battery Ventures, Redpoint, S28 Capital, YC Continuity. To learn more, visit www.mattermost.com.

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