Key Insights from the Pryon Government AI Forum
Explore the latest advancements and practical applications of AI in the public sector from the Pryon Government AI Forum event.
We’ve all felt the pain of needing a quick answer at work and spending hours checking different systems to find it — searching around for the right file, attempting to remember the right keywords to use, trying to get time with an already overburdened SME, and feeling frustrated by a lack of results. Then, once you think you’ve found the content you need, you spend more time reading through it, parsing the information to pinpoint the answer to your question. All the while crossing your fingers that the file is up-to-date and the information inside is verified.
Sound familiar?
You’re not alone. Pryon recently worked with Unisphere Research to survey a cross-industry group of enterprise leaders and knowledge workers on this problem. The survey found that employees waste hours weekly searching for information scattered across the enterprise. Yet, much of an organization’s content still goes unused. More than one out of five respondents estimate that less than half of the unstructured information in their organization is readily available. And only a handful (6%) reported the complete availability of their organization’s information.
1 in 5 enterprise leaders report that less than half of their organization’s content is readily available.
Knowledge friction is the disconnect between enterprise authors and key content consumers. It is a constant consequence to productivity, operations, compliance, and revenue. Content authors — such as marketing, support managers, sales enablement, and product teams — invest high-quality time and effort producing informative content for end users — from salespeople and researchers to operations and customer support teams. Even after all this, end users still struggle to find and access the answers they need.
While organizations invest billions of dollars every year in content management software and enterprise search systems to try and solve their knowledge friction problems, they've seen little to no results. In fact, introducing too many of these systems compounds knowledge friction. The 2024 Survey on Enterprise Information Discovery found that having multiple systems to search across is the leading obstacle to delivering necessary and timely information to employees, customers, and partners.
Difficulties in searching across systems (56%) was followed closely by problems with information and data silos (55%) and issues with information and data quality (52%) as the leading causes of knowledge friction. Other top obstacles include challenges in finding the correct search terms to locate desired information (46%) and insufficient content sharing (44%).
Knowledge friction can look different and have varying impacts depending on your industry and function. Here are some examples of warning signs to watch out for by department and the negative business outcomes that come with them:
Anyone can increase these truths from their point of need. And these symptoms and impacts are just the tip of the iceberg. The report from Unisphere Research identified 21 risks of stalled access to business-critical information:
10. Competitive disadvantage
11. Loss of customer trust
12. Customer churn
13. Longer call times
14. Fewer first call resolutions
15. Supply chain disruption
16. Delays in important medical processes (life-saving test results, surgeon support, FDA filings)
17. Compliance violations
18. Workplace inefficiency
19. Negative impacts on quality
20. Longer project cycles
21. Poor energy efficiency
Since legacy content management systems and enterprise search engines have fallen short, many enterprises are looking to Knowledge AI to tackle knowledge friction. Using cutting-edge technology like natural language processing (NLP) and retrieval-augmented generation (RAG), Knowledge AI swiftly extracts valuable knowledge from existing content, reading it like a human would, and transforming that knowledge into answers. This means no more endless searching through complex systems or wasting time on outdated information. Instead, teams can rely on a Knowledge AI platform for instant access to reliable answers, precisely when they need them.
We’ve all felt the pain of needing a quick answer at work and spending hours checking different systems to find it — searching around for the right file, attempting to remember the right keywords to use, trying to get time with an already overburdened SME, and feeling frustrated by a lack of results. Then, once you think you’ve found the content you need, you spend more time reading through it, parsing the information to pinpoint the answer to your question. All the while crossing your fingers that the file is up-to-date and the information inside is verified.
Sound familiar?
You’re not alone. Pryon recently worked with Unisphere Research to survey a cross-industry group of enterprise leaders and knowledge workers on this problem. The survey found that employees waste hours weekly searching for information scattered across the enterprise. Yet, much of an organization’s content still goes unused. More than one out of five respondents estimate that less than half of the unstructured information in their organization is readily available. And only a handful (6%) reported the complete availability of their organization’s information.
1 in 5 enterprise leaders report that less than half of their organization’s content is readily available.
Knowledge friction is the disconnect between enterprise authors and key content consumers. It is a constant consequence to productivity, operations, compliance, and revenue. Content authors — such as marketing, support managers, sales enablement, and product teams — invest high-quality time and effort producing informative content for end users — from salespeople and researchers to operations and customer support teams. Even after all this, end users still struggle to find and access the answers they need.
While organizations invest billions of dollars every year in content management software and enterprise search systems to try and solve their knowledge friction problems, they've seen little to no results. In fact, introducing too many of these systems compounds knowledge friction. The 2024 Survey on Enterprise Information Discovery found that having multiple systems to search across is the leading obstacle to delivering necessary and timely information to employees, customers, and partners.
Difficulties in searching across systems (56%) was followed closely by problems with information and data silos (55%) and issues with information and data quality (52%) as the leading causes of knowledge friction. Other top obstacles include challenges in finding the correct search terms to locate desired information (46%) and insufficient content sharing (44%).
Knowledge friction can look different and have varying impacts depending on your industry and function. Here are some examples of warning signs to watch out for by department and the negative business outcomes that come with them:
Anyone can increase these truths from their point of need. And these symptoms and impacts are just the tip of the iceberg. The report from Unisphere Research identified 21 risks of stalled access to business-critical information:
10. Competitive disadvantage
11. Loss of customer trust
12. Customer churn
13. Longer call times
14. Fewer first call resolutions
15. Supply chain disruption
16. Delays in important medical processes (life-saving test results, surgeon support, FDA filings)
17. Compliance violations
18. Workplace inefficiency
19. Negative impacts on quality
20. Longer project cycles
21. Poor energy efficiency
Since legacy content management systems and enterprise search engines have fallen short, many enterprises are looking to Knowledge AI to tackle knowledge friction. Using cutting-edge technology like natural language processing (NLP) and retrieval-augmented generation (RAG), Knowledge AI swiftly extracts valuable knowledge from existing content, reading it like a human would, and transforming that knowledge into answers. This means no more endless searching through complex systems or wasting time on outdated information. Instead, teams can rely on a Knowledge AI platform for instant access to reliable answers, precisely when they need them.
We’ve all felt the pain of needing a quick answer at work and spending hours checking different systems to find it — searching around for the right file, attempting to remember the right keywords to use, trying to get time with an already overburdened SME, and feeling frustrated by a lack of results. Then, once you think you’ve found the content you need, you spend more time reading through it, parsing the information to pinpoint the answer to your question. All the while crossing your fingers that the file is up-to-date and the information inside is verified.
Sound familiar?
You’re not alone. Pryon recently worked with Unisphere Research to survey a cross-industry group of enterprise leaders and knowledge workers on this problem. The survey found that employees waste hours weekly searching for information scattered across the enterprise. Yet, much of an organization’s content still goes unused. More than one out of five respondents estimate that less than half of the unstructured information in their organization is readily available. And only a handful (6%) reported the complete availability of their organization’s information.
1 in 5 enterprise leaders report that less than half of their organization’s content is readily available.
Knowledge friction is the disconnect between enterprise authors and key content consumers. It is a constant consequence to productivity, operations, compliance, and revenue. Content authors — such as marketing, support managers, sales enablement, and product teams — invest high-quality time and effort producing informative content for end users — from salespeople and researchers to operations and customer support teams. Even after all this, end users still struggle to find and access the answers they need.
While organizations invest billions of dollars every year in content management software and enterprise search systems to try and solve their knowledge friction problems, they've seen little to no results. In fact, introducing too many of these systems compounds knowledge friction. The 2024 Survey on Enterprise Information Discovery found that having multiple systems to search across is the leading obstacle to delivering necessary and timely information to employees, customers, and partners.
Difficulties in searching across systems (56%) was followed closely by problems with information and data silos (55%) and issues with information and data quality (52%) as the leading causes of knowledge friction. Other top obstacles include challenges in finding the correct search terms to locate desired information (46%) and insufficient content sharing (44%).
Knowledge friction can look different and have varying impacts depending on your industry and function. Here are some examples of warning signs to watch out for by department and the negative business outcomes that come with them:
Anyone can increase these truths from their point of need. And these symptoms and impacts are just the tip of the iceberg. The report from Unisphere Research identified 21 risks of stalled access to business-critical information:
10. Competitive disadvantage
11. Loss of customer trust
12. Customer churn
13. Longer call times
14. Fewer first call resolutions
15. Supply chain disruption
16. Delays in important medical processes (life-saving test results, surgeon support, FDA filings)
17. Compliance violations
18. Workplace inefficiency
19. Negative impacts on quality
20. Longer project cycles
21. Poor energy efficiency
Since legacy content management systems and enterprise search engines have fallen short, many enterprises are looking to Knowledge AI to tackle knowledge friction. Using cutting-edge technology like natural language processing (NLP) and retrieval-augmented generation (RAG), Knowledge AI swiftly extracts valuable knowledge from existing content, reading it like a human would, and transforming that knowledge into answers. This means no more endless searching through complex systems or wasting time on outdated information. Instead, teams can rely on a Knowledge AI platform for instant access to reliable answers, precisely when they need them.