AI in the workplace: Navigating a new frontier

Decision support
AI empowers organizations to make informed decisions quickly and accurately through AI-driven data analytics and AI-generated output such as content summaries. For instance, AI-generated summaries of patient history provide a quick snapshot of a patient’s health profile, helping physicians and care team members decide on which additional detailed information to review so they can create an appropriate treatment plan.

Intelligent content management
AI-powered content management solutions like Hyland Experience and Hyland IDP automate document processing, classification and extraction. These systems leverage AI to help make information management more efficient. For instance, in a large organization handling a huge number of documents, AI can automatically enrich, classify and organize documents based on their content, making it easier for employees to search and retrieve specific information quickly.

Improved employee experience

Prioritizing employee experience is essential for organizational success, especially in today’s competitive business landscape. With the integration of AI, organizations are empowered to improve employee satisfaction and engagement through innovative solutions. Let’s learn how AI elevates the employee experience in the workplace:

Personalization
AI enables organizations to tailor learning and development opportunities to individual needs and preferences. By providing personalized recommendations for training and growth, AI helps establish continuous development for all employees, ensuring they acquire the skills necessary to thrive in their roles.

Collaboration tools
Integrating AI into collaboration tools facilitates seamless communication and collaboration across the organization. AI can streamline processes such as scheduling, project management and workflow monitoring, thereby boosting productivity and fostering a more cohesive work environment.

> Learn more | How AI is changing HR for the better

Driving innovation

Every business must continuously innovate to remain competitive. For most organizations, AI has been the focus of innovation. The integration of AI in the workplace provides these critical benefits:

Competitive advantage
AI empowers businesses to adapt quickly to sudden market changes by providing actionable insights. For instance, organizations utilize AI algorithms to analyze consumer behavior and market trends. This allows them to develop innovative products and services that meet evolving customer needs to gain a competitive advantage in their industry.

Sustainable operations
AI’s efficient resource management capabilities are crucial in promoting sustainability and cost-effectiveness. One example of AI application in sustainable operations is AI-driven energy management systems in buildings. These systems use real-time data analytics and ML to adjust heating, cooling and lighting systems based on occupancy patterns, temperature and energy tariffs.

Challenges to implementing AI

Opportunities that come with AI pose significant challenges that must be navigated to ensure successful adoption. Understanding and proactively tackling these challenges are essential for organizations seeking to harness the transformative power of AI.

Navigating ethical and privacy concerns

Ethical and privacy concerns have emerged as critical challenges organizations face when considering AI solutions. As AI is integrated into various aspects of society, ensuring responsible and ethical use is important to maintain trust and mitigate potential harm.

These concerns primarily focus on three key areas:

Bias and fairness
Mitigating AI biases is important to ensure fairness and prevent discrimination in decision-making processes. Strategies such as algorithmic and output audits, diverse dataset curation and continuous monitoring enable organizations to identify and mitigate biases to promote inclusivity and equitable outcomes.

Data privacy
Balancing the use of AI-driven insights to protect individuals’ privacy rights demands careful attention to data privacy measures. Implementing a strong governance framework, transparent data-handling practices and privacy-enhancing technologies ensures compliance with regulations and promotes trust among stakeholders.

Output authenticity
As AI is integrated into content management, ensuring the authenticity and integrity of the output is crucial. Use AI tools that enable your users to verify AI output and provide the necessary information to do so, such as thorough source citations. Additionally, train employees to question and validate AI output before using it in mission-critical decisions and tasks. By prioritizing authenticity and transparency, organizations can enhance trust in AI technologies and mitigate potential risks of misinformation and deception.

Workforce transformation

As AI continues to reshape industries and redefine the nature of work, organizations are undergoing significant transformations in their workforce dynamics. To ensure a smooth transition, organizations must focus on these two key aspects to establish a supportive and resilient workforce:

Skill gaps and job redefinition
With AI technologies automating routine tasks, employees must acquire new skills or polish existing ones to thrive in their roles. Organizations can help facilitate this transition by offering training programs, upskilling initiatives and continuous learning opportunities.

According to research commissioned by Hyland and conducted by Walker Sands, 98% of respondents expressed a desire for some level of training relevant technology. By investing in workforce development, organizations can empower employees to embrace AI technologies and contribute to the organization’s success.

Psychological well-being
According to a survey conducted by the American Psychological Association (APA), close to 38% of US workers are worried that AI could take their jobs away from them in the future. To address these concerns, organizations must provide an avenue for employees to voice their concerns, offer career development opportunities and promote a sense of belonging to build a resilient workforce capable of navigating the opportunities brought on by AI adoption.

Integration and investment

Deploying AI involves financial investment, and organizations must understand the potential challenges involved to maximize the benefits of AI. Below are two significant challenges that need to be carefully considered by organizations when making investments and integrating with AI:

High costs
Implementing AI demands a significant financial investment, including both initial implementation costs and recurring expenses associated with running AI systems. Organizations can achieve long-term value and sustainable growth by allocating resources wisely and investing in the right AI solutions.

Complex integration
Achieving seamless integration of AI can be challenging due to the complexity of aligning AI technologies with diverse infrastructures and workflows. The planning and execution required for successful integration require a strategic approach involving collaboration between IT teams, domain experts and stakeholders. With proper planning and execution, organizations can fully achieve the benefits of AI.

The value of AI-powered intelligent content solutions

AI-powered intelligent content solutions have revolutionized content creation, curation and delivery processes. They help automate tasks, extract valuable insights and improve overall efficiency in managing information.

Platforms like Hyland Experience leverage AI and advanced capabilities to help organizations intelligently automate content-centric processes to obtain deeper insights and accelerate time to market. These solutions provide several features, including the following:

• Low-code app building: Enables organizations to create new applications quickly and consistently. This accelerates the development process, allowing businesses to innovate and deploy solutions, ultimately driving operational efficiency and agility.
• Process and content automation: Streamlines workflows through process and content automation. By automating repetitive tasks, organizations can optimize resource allocation, reduce human error and encourage innovative effort across content management processes.
• AI-enriched insights: By leveraging AI and ML technologies, these solutions deliver deeper insights into content data to enable better decision-making. This enables organizations to analyze trends, identify patterns and gain actionable insights to drive strategic initiatives and improve business outcomes.
• Scalability and flexibility: Allows organizations to accommodate growth and scale their content management operations, while their flexibility ensures interoperability across various platforms, facilitating compatibility and seamless integration within the organization’s ecosystem.