How Artificial Intelligence Empowers the Hybrid Workforce
May 11, 2022

Daniel Fallmann
Mindbreeze

Share this

As we all know, the drastic changes in the world have caused the workforce to take a hybrid approach over the last two years. A lot of that time, being fully remote.

According to a research report issued by Gartner Inc., an overwhelming majority of company leaders plan to allow their employees to continue performing hybrid work moving forward. The report indicates that 82% of companies are sticking with the hybrid approach.

Hybrid work typically means two or three days working in the office per week and the rest from wherever the employee pleases — most of the time from the comfort of their home. With the back and forth between home and office, employees need ways to stay productive and access useful information necessary to complete their daily work. The ability to obtain a holistic view of data relevant to the user and get answers to topics, no matter the worker's location, is crucial for a successful and efficient hybrid working environment.

Without shared knowledge, inconsistent or conflicting ideas and overlooked details may lead to unnecessarily wasted time or missed growth opportunities. Fortunately, some platforms can help simplify connecting the dots in a hybrid workplace.

Can AI-Driven Technology Help You Achieve Hybrid Success?

Today, there is more data than ever before within a company, and that amount increases every day. A significant challenge for companies and employees is finding this data and sorting through the digital clutter. This challenge is intensified when working at home on your own devices. Workers also lose the ability to lean over and ask a knowledgeable colleague for insight on a specific question.

With the right technology aimed at knowledge management, workers can access relevant information in a single location that was once scattered throughout hundreds of different data sources. Many solutions also permit seamless integration into the most popular business applications. For example, information retrieval can take place directly in Microsoft Teams, Salesforce, Outlook, and more — all applications most employees are already comfortable using. This reduces the learning curve of new technology and time spent on information finding exponentially.

Connecting company data puts knowledge directly at the fingertips of the workforce whenever and wherever they need it. Doing so not only has an enormous impact on productivity and bottom lines but boosts morale within a corporation. Equipping people with tools to be successful is key for workers to feel like they are making the most of their time when not at the office.

Employees don't necessarily feel burned out from being overworked. Often, the frustration stems from not being put in a position to produce valuable output. Deployment of the right technology can flip that problem on its head — giving users access to needed knowledge within seconds.

How Does this Type of Technology Work?

Machine learning (ML) methods analyze data from multiple internal and external data sources. Internal data sources include company documents, whitepapers, emails, webpages, handbooks, etc. External data sources include data from other business applications, market research, public databases, competitor press releases, etc. Users simply have to search for what they need, and metadata compiled from all data sources generates proper feedback.

The Positive Impact of Proper Knowledge Management

As mentioned, proper knowledge management has tons of benefits when it comes to saving employees time, boosting productivity, and increasing the morale of a hybrid company.

Proper knowledge management solutions also serve a vital role to the "new" employee just as much as the "existing" one. Even before the world turned hybrid, having great employee onboarding and training has always been a tough area for companies to tackle. Knowledge management plays a critical role in organizing training material and making onboarding documents readily available to the less experienced worker. Giving new hires the capacity to search and explore topics within the company's data leads to quicker learning of systems and processes they are expected to follow. A high-level and artificial tool like this also can have added benefits during the recruitment process, showing potential hires that your company is innovative and invested in helping them succeed to the fullest extent.

In conclusion, connected data can connect a workforce spread across the globe and in several different places. This level of connectivity makes your workforce stronger and your company ready to master the new hybrid approach to work.

Daniel Fallmann is CEO at Mindbreeze
Share this

The Latest

May 26, 2022

Site reliability engineers are development-focused IT professionals who work on developing and implementing solutions that solve reliability, availability, and scale problems. On the other hand, DevOps engineers are ops-focused workers who solve development pipeline problems. While there is a divide between the two professions, both sets of engineers cross the gap regularly, delivering their expertise and opinions to the other side and vice versa ...

May 25, 2022

Site reliability engineering (SRE) is fast becoming an essential aspect of modern IT operations, particularly in highly scaled, big data environments. As businesses and industries shift to the digital and embrace new IT infrastructures and technologies to remain operational and competitive, the need for a new approach for IT teams to find and manage the balance between launching new systems and features and ensuring these are intuitive, reliable, and friendly for end users has intensified as well ...

May 24, 2022

The most sophisticated observability practitioners (leaders) are able to cut downtime costs by 90%, from an estimated $23.8 million annually to just $2.5 million, compared to observability beginners, according to the State of Observability 2022 from Splunk in collaboration with the Enterprise Strategy Group. What's more, leaders in observability are more innovative and more successful at achieving digital transformation outcomes and other initiatives ...

May 23, 2022

Programmatically tracked service level indicators (SLIs) are foundational to every site reliability engineering practice. When engineering teams have programmatic SLIs in place, they lessen the need to manually track performance and incident data. They're also able to reduce manual toil because our DevOps teams define the capabilities and metrics that define their SLI data, which they collect automatically — hence "programmatic" ...

May 19, 2022

Recently, a regional healthcare organization wanted to retire its legacy monitoring tools and adopt AIOps. The organization asked Windward Consulting to implement an AIOps strategy that would help streamline its outdated and unwieldy IT system management. Our team's AIOps implementation process helped this client and can help others in the industry too. Here's what my team did ...

May 18, 2022

You've likely heard it before: every business is a digital business. However, some businesses and sectors digitize more quickly than others. Healthcare has traditionally been on the slower side of digital transformation and technology adoption, but that's changing. As healthcare organizations roll out innovations at increasing velocity, they must build a long-term strategy for how they will maintain the uptime of their critical apps and services. And there's only one tool that can ensure this continuous availability in our modern IT ecosystems. AIOps can help IT Operations teams ensure the uptime of critical apps and services ...

May 17, 2022

Between 2012 to 2015 all of the hyperscalers attempted to use the legacy APM solutions to improve their own visibility. To no avail. The problem was that none of the previous generations of APM solutions could match the scaling demand, nor could they provide interoperability due to their proprietary and exclusive agentry ...

May 16, 2022

The DevOps journey begins by understanding a team's DevOps flow and identifying precisely what tasks deliver the best return on engineers' time when automated. The rest of this blog will help DevOps team managers by outlining what jobs can — and should be automated ...

May 12, 2022

A survey from Snow Software polled more than 500 IT leaders to determine the current state of cloud infrastructure. Nearly half of the IT leaders who responded agreed that cloud was critical to operations during the pandemic with the majority deploying a hybrid cloud strategy consisting of both public and private clouds. Unsurprisingly, over the last 12 months, the majority of respondents had increased overall cloud spend — a substantial increase over the 2020 findings ...

May 11, 2022

As we all know, the drastic changes in the world have caused the workforce to take a hybrid approach over the last two years. A lot of that time, being fully remote. With the back and forth between home and office, employees need ways to stay productive and access useful information necessary to complete their daily work. The ability to obtain a holistic view of data relevant to the user and get answers to topics, no matter the worker's location, is crucial for a successful and efficient hybrid working environment ...