Skip to main content

How Artificial Intelligence Empowers the Hybrid Workforce

Daniel Fallmann
Mindbreeze

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

The Latest

According to Auvik's 2025 IT Trends Report, 60% of IT professionals feel at least moderately burned out on the job, with 43% stating that their workload is contributing to work stress. At the same time, many IT professionals are naming AI and machine learning as key areas they'd most like to upskill ...

Businesses that face downtime or outages risk financial and reputational damage, as well as reducing partner, shareholder, and customer trust. One of the major challenges that enterprises face is implementing a robust business continuity plan. What's the solution? The answer may lie in disaster recovery tactics such as truly immutable storage and regular disaster recovery testing ...

IT spending is expected to jump nearly 10% in 2025, and organizations are now facing pressure to manage costs without slowing down critical functions like observability. To meet the challenge, leaders are turning to smarter, more cost effective business strategies. Enter stage right: OpenTelemetry, the missing piece of the puzzle that is no longer just an option but rather a strategic advantage ...

Amidst the threat of cyberhacks and data breaches, companies install several security measures to keep their business safely afloat. These measures aim to protect businesses, employees, and crucial data. Yet, employees perceive them as burdensome. Frustrated with complex logins, slow access, and constant security checks, workers decide to completely bypass all security set-ups ...

Image
Cloudbrink's Personal SASE services provide last-mile acceleration and reduction in latency

In MEAN TIME TO INSIGHT Episode 13, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses hybrid multi-cloud networking strategy ... 

In high-traffic environments, the sheer volume and unpredictable nature of network incidents can quickly overwhelm even the most skilled teams, hindering their ability to react swiftly and effectively, potentially impacting service availability and overall business performance. This is where closed-loop remediation comes into the picture: an IT management concept designed to address the escalating complexity of modern networks ...

In 2025, enterprise workflows are undergoing a seismic shift. Propelled by breakthroughs in generative AI (GenAI), large language models (LLMs), and natural language processing (NLP), a new paradigm is emerging — agentic AI. This technology is not just automating tasks; it's reimagining how organizations make decisions, engage customers, and operate at scale ...

In the early days of the cloud revolution, business leaders perceived cloud services as a means of sidelining IT organizations. IT was too slow, too expensive, or incapable of supporting new technologies. With a team of developers, line of business managers could deploy new applications and services in the cloud. IT has been fighting to retake control ever since. Today, IT is back in the driver's seat, according to new research by Enterprise Management Associates (EMA) ...

In today's fast-paced and increasingly complex network environments, Network Operations Centers (NOCs) are the backbone of ensuring continuous uptime, smooth service delivery, and rapid issue resolution. However, the challenges faced by NOC teams are only growing. In a recent study, 78% state network complexity has grown significantly over the last few years while 84% regularly learn about network issues from users. It is imperative we adopt a new approach to managing today's network experiences ...

Image
Broadcom

From growing reliance on FinOps teams to the increasing attention on artificial intelligence (AI), and software licensing, the Flexera 2025 State of the Cloud Report digs into how organizations are improving cloud spend efficiency, while tackling the complexities of emerging technologies ...

How Artificial Intelligence Empowers the Hybrid Workforce

Daniel Fallmann
Mindbreeze

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

The Latest

According to Auvik's 2025 IT Trends Report, 60% of IT professionals feel at least moderately burned out on the job, with 43% stating that their workload is contributing to work stress. At the same time, many IT professionals are naming AI and machine learning as key areas they'd most like to upskill ...

Businesses that face downtime or outages risk financial and reputational damage, as well as reducing partner, shareholder, and customer trust. One of the major challenges that enterprises face is implementing a robust business continuity plan. What's the solution? The answer may lie in disaster recovery tactics such as truly immutable storage and regular disaster recovery testing ...

IT spending is expected to jump nearly 10% in 2025, and organizations are now facing pressure to manage costs without slowing down critical functions like observability. To meet the challenge, leaders are turning to smarter, more cost effective business strategies. Enter stage right: OpenTelemetry, the missing piece of the puzzle that is no longer just an option but rather a strategic advantage ...

Amidst the threat of cyberhacks and data breaches, companies install several security measures to keep their business safely afloat. These measures aim to protect businesses, employees, and crucial data. Yet, employees perceive them as burdensome. Frustrated with complex logins, slow access, and constant security checks, workers decide to completely bypass all security set-ups ...

Image
Cloudbrink's Personal SASE services provide last-mile acceleration and reduction in latency

In MEAN TIME TO INSIGHT Episode 13, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses hybrid multi-cloud networking strategy ... 

In high-traffic environments, the sheer volume and unpredictable nature of network incidents can quickly overwhelm even the most skilled teams, hindering their ability to react swiftly and effectively, potentially impacting service availability and overall business performance. This is where closed-loop remediation comes into the picture: an IT management concept designed to address the escalating complexity of modern networks ...

In 2025, enterprise workflows are undergoing a seismic shift. Propelled by breakthroughs in generative AI (GenAI), large language models (LLMs), and natural language processing (NLP), a new paradigm is emerging — agentic AI. This technology is not just automating tasks; it's reimagining how organizations make decisions, engage customers, and operate at scale ...

In the early days of the cloud revolution, business leaders perceived cloud services as a means of sidelining IT organizations. IT was too slow, too expensive, or incapable of supporting new technologies. With a team of developers, line of business managers could deploy new applications and services in the cloud. IT has been fighting to retake control ever since. Today, IT is back in the driver's seat, according to new research by Enterprise Management Associates (EMA) ...

In today's fast-paced and increasingly complex network environments, Network Operations Centers (NOCs) are the backbone of ensuring continuous uptime, smooth service delivery, and rapid issue resolution. However, the challenges faced by NOC teams are only growing. In a recent study, 78% state network complexity has grown significantly over the last few years while 84% regularly learn about network issues from users. It is imperative we adopt a new approach to managing today's network experiences ...

Image
Broadcom

From growing reliance on FinOps teams to the increasing attention on artificial intelligence (AI), and software licensing, the Flexera 2025 State of the Cloud Report digs into how organizations are improving cloud spend efficiency, while tackling the complexities of emerging technologies ...