The SiriusDecisions B-to-B Buying Decision Process Framework

whitePaper | April 16, 2020

In construction, we are often designing and constructing made-to-order assets, so there is immediately less certainty. We may be dealing with multiple projects for different people, with different schedules, and run by different project managers. Each will be in a different location, with different site footprints, different ground conditions, different access routes, etc. And, partly influenced by their locations, we are often dealing with different suppliers we might select local designers, subcontractors, plant, materials, and product suppliers based on their proximity to the site.

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.

whitePaper | November 1, 2021

Robotics, automation, Internet of Things (IoT), and data are not new in manufacturing. Manufacturing is one of the most data-rich and first industries piloting artificial intelligence at the edge. It’s been estimated, however, that about 95% of all industrial data goes unused. The reason? Legacy equipment and operational systems that tend to be proprietary and siloed are incapable of communicating with each other.

whitePaper | August 17, 2020

For years, employees drove to an office, opened their computer, logged onto a corporate network with their username and password and got on with their workday. But working standard hours in a fixed office location is becoming more and more rare. In fact, a report by Gallup found that 43 percent of American employees work remotely.1 This growing mobile workforce requires the same, secure access to resources as their onsite counterparts — without connecting to the corporate network. And both onsite and remote employees need secure ways to access the expanding number of applications and resources that are hosted in the cloud. To accommodate, enterprise technology and IT practices must adapt.

whitePaper | September 15, 2022

No broad industry trend, not client/server computing, not affordable hardware, not even the cloud itself, promises to so completely reshape the enterprise than artificial intelligence (AI). Melding decades-old mathematical principles with cutting edge algorithms and readily available, high performance hardware, AI is creating a seismic shift in the way companies across all industries build, maintain, and understand their core and departmental business operations.

whitePaper | December 15, 2019

The debate between experts over how automation will affect the future of work has been one of the most active cottage industries in labor economics in recent years. Numerous scholars forecast major disruptions of human work; others minimize those impacts. And yet, the field has nevertheless managed to generate a number of shared insights, with none more consistent than the finding that least welloff will suffer automation’s greatest shocks on the labor market.