Starmind, a leading Swiss technology company in the field of human-centric AI, today announced its expansion in the US with the appointment of Luanne Tierney to the Starmind Board of Directors.
Having gained strong momentum over the past year, winning new Fortune 500 customers and expanding existing customer relationships, Starmind plans to make further targeted investments and to expand in key markets, with a strong focus on the US.
The coronavirus pandemic has intensified customers’ digital habits and companies need to adapt with a new approach in regards to knowledge and experience sharing.
Customer feedback has shown that organizations using Starmind especially value the power to be able to tap into a large network of experts and access and utilize knowledge and experience that is usually not accessible. Large multinational companies such as Accenture, Bayer, Cognizant and Novartis already work with Starmind not only to improve their customer-centric commitment, but to also apply the same concept to the employee experience, ensuring knowledge-workers are equipped with answers to their questions and they feel set up for success.
Andreas Meyer, Chairman of the Board, said: “The validity of our business model is affirmed by the significant interest we have received from customers in the US, where we want to expand our business further and take advantage of the strong momentum. Being able to add an experienced executive and Silicon Valley tech enthusiast like Luanne will help us undertake that expansion and respond to market demand.”
Luanne Tierney commented on her Starmind appointment: “ I am amazed by the simplicity of the Starmind solution and the complexity it helps you solve. The pandemic has made CIOs across industries realize the urgent call to address inefficiencies and productivity gaps and the need to implement new ways of working. I am excited to join the Board at this important time.”
Against the backdrop of an evolving work-from-anywhere business environment, Starmind recently launched a study on lost productivity in companies. The report confirms that one of the major challenges large organizations face today is the employee experience in regards to the accessibility of information in the form of documented or undocumented knowledge.
Key findings of the report include:
Employees resort to guesswork multiple times a week: 84% of knowledge workers make decisions based on assumptions four times per week
Repetitive questions drain days of productivity: On average, knowledge workers are asked more than one question every day (six questions each week) they have answered before
The volume of workplace data is growing exponentially: 45% say they can’t get the data they need quickly and easily enough to do their job effectively. Further, 49% say the information they do find is frequently out-of-date
App overload is fuelling information overload across remote and hybrid work models: More than half (51%) of knowledge workers find the volume of notifications on collaboration channels overwhelming
The full productivity drain research report is available on starmind.ai.
Starmind accelerates expansion in the US with new appointment to the Board of Directors
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What is a corporate wiki?
A corporate wiki, also known as an enterprise wiki, is a knowledge management system that provides a central location where your company can collect, capture, and update organizational knowledge.
As an internet user, the chances are high that you’ve used Wikipedia to find and acquire information and knowledge. Corporate wikis are comparable because they use similar technology and processes for people to collaborate and share their knowledge. The main difference is that corporate wikis are confined to the people within your organization.
Wikis have been a favored solution for knowledge management because every employee has the ability to read, edit, and contribute new content and knowledge. Plus, they're relatively easy to use. If employees can create a word doc, they’ll have no issue contributing to a wiki. But, if you’ve already used a corporate wiki before, you’re probably familiar with the challenges they can bring and are ready for a more effective way to manage knowledge.
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