Nobody wants to get left behind in the race towards digital transformation. That’s why enterprise leaders are under pressure to accelerate productivity and innovation using AI — and many are well on their way. In fact, a 2024 survey from Unisphere Research found that more than half (59%) of enterprises either have an AI solution already in place or are planning to implement one within the next three to twelve months.
Following the generative AI boom of 2023, many organizations have seen the transformational impact that AI can have on a business. The 2024 Survey on Enterprise Information Discovery revealed a long list of benefits enterprise leaders anticipate AI will bring, including:
More than half of today’s enterprises currently have an AI solution in place or are planning to implement one within the next 3-12 months.
With so much potential value on the table, the question becomes not whether to implement AI, but where to start. When enterprise leaders were asked to identify their main planned use cases for AI, the same survey revealed that the top two priorities involve helping users better understand and get answers from the content scattered across their organizations.
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The top two enterprise AI priorities for 2024 involve helping users better understand and get answers from information scattered across the organization.
This focus on retrieving and delivering answers from existing content comes as no surprise, since employees lose thousands of productive hours searching for information. Even worse, despite the valuable time and resources put into creating content for salespeople, researchers, operations, and customer support teams, one in five enterprises reports that less than half of their organization’s content is readily available. As a result, users are left sifting through mountains of content only to come up empty-handed.
Many enterprises are stuck in this cycle of inefficiency that stalls progress and stifles innovation — which is why many are now looking to AI to offer a way out.
Knowledge AI extracts valuable knowledge from an organization’s existing content and swiftly transforms that knowledge into answers. Using innovative technologies like natural language processing (NLP) and retrieval-augmented generation (RAG), a Knowledge AI platform can read and understand enterprise content like a human would, but at a scale and speed far beyond what is humanly possible. This means no more endless searching through complex systems or wasting time producing content that goes unused. Instead, enterprise teams can rely on a Knowledge AI platform for instant access to reliable answers, precisely when and where they need them.
Knowledge AI enables organizations to extract useful knowledge from their existing content, instantly providing people with accurate answers.
As enterprises race to keep up with the speed of digital transformation, Knowledge AI can deliver immediate value across all areas of the business. From sales and customer support to operations and R&D, and beyond, Knowledge AI presents a promising opportunity for enterprises that are ready to start unlocking real value from AI.
Nobody wants to get left behind in the race towards digital transformation. That’s why enterprise leaders are under pressure to accelerate productivity and innovation using AI — and many are well on their way. In fact, a 2024 survey from Unisphere Research found that more than half (59%) of enterprises either have an AI solution already in place or are planning to implement one within the next three to twelve months.
Following the generative AI boom of 2023, many organizations have seen the transformational impact that AI can have on a business. The 2024 Survey on Enterprise Information Discovery revealed a long list of benefits enterprise leaders anticipate AI will bring, including:
More than half of today’s enterprises currently have an AI solution in place or are planning to implement one within the next 3-12 months.
With so much potential value on the table, the question becomes not whether to implement AI, but where to start. When enterprise leaders were asked to identify their main planned use cases for AI, the same survey revealed that the top two priorities involve helping users better understand and get answers from the content scattered across their organizations.
The top two enterprise AI priorities for 2024 involve helping users better understand and get answers from information scattered across the organization.
This focus on retrieving and delivering answers from existing content comes as no surprise, since employees lose thousands of productive hours searching for information. Even worse, despite the valuable time and resources put into creating content for salespeople, researchers, operations, and customer support teams, one in five enterprises reports that less than half of their organization’s content is readily available. As a result, users are left sifting through mountains of content only to come up empty-handed.
Many enterprises are stuck in this cycle of inefficiency that stalls progress and stifles innovation — which is why many are now looking to AI to offer a way out.
Knowledge AI extracts valuable knowledge from an organization’s existing content and swiftly transforms that knowledge into answers. Using innovative technologies like natural language processing (NLP) and retrieval-augmented generation (RAG), a Knowledge AI platform can read and understand enterprise content like a human would, but at a scale and speed far beyond what is humanly possible. This means no more endless searching through complex systems or wasting time producing content that goes unused. Instead, enterprise teams can rely on a Knowledge AI platform for instant access to reliable answers, precisely when and where they need them.
Knowledge AI enables organizations to extract useful knowledge from their existing content, instantly providing people with accurate answers.
As enterprises race to keep up with the speed of digital transformation, Knowledge AI can deliver immediate value across all areas of the business. From sales and customer support to operations and R&D, and beyond, Knowledge AI presents a promising opportunity for enterprises that are ready to start unlocking real value from AI.
Nobody wants to get left behind in the race towards digital transformation. That’s why enterprise leaders are under pressure to accelerate productivity and innovation using AI — and many are well on their way. In fact, a 2024 survey from Unisphere Research found that more than half (59%) of enterprises either have an AI solution already in place or are planning to implement one within the next three to twelve months.
Following the generative AI boom of 2023, many organizations have seen the transformational impact that AI can have on a business. The 2024 Survey on Enterprise Information Discovery revealed a long list of benefits enterprise leaders anticipate AI will bring, including:
More than half of today’s enterprises currently have an AI solution in place or are planning to implement one within the next 3-12 months.
With so much potential value on the table, the question becomes not whether to implement AI, but where to start. When enterprise leaders were asked to identify their main planned use cases for AI, the same survey revealed that the top two priorities involve helping users better understand and get answers from the content scattered across their organizations.
The top two enterprise AI priorities for 2024 involve helping users better understand and get answers from information scattered across the organization.
This focus on retrieving and delivering answers from existing content comes as no surprise, since employees lose thousands of productive hours searching for information. Even worse, despite the valuable time and resources put into creating content for salespeople, researchers, operations, and customer support teams, one in five enterprises reports that less than half of their organization’s content is readily available. As a result, users are left sifting through mountains of content only to come up empty-handed.
Many enterprises are stuck in this cycle of inefficiency that stalls progress and stifles innovation — which is why many are now looking to AI to offer a way out.
Knowledge AI extracts valuable knowledge from an organization’s existing content and swiftly transforms that knowledge into answers. Using innovative technologies like natural language processing (NLP) and retrieval-augmented generation (RAG), a Knowledge AI platform can read and understand enterprise content like a human would, but at a scale and speed far beyond what is humanly possible. This means no more endless searching through complex systems or wasting time producing content that goes unused. Instead, enterprise teams can rely on a Knowledge AI platform for instant access to reliable answers, precisely when and where they need them.
Knowledge AI enables organizations to extract useful knowledge from their existing content, instantly providing people with accurate answers.
As enterprises race to keep up with the speed of digital transformation, Knowledge AI can deliver immediate value across all areas of the business. From sales and customer support to operations and R&D, and beyond, Knowledge AI presents a promising opportunity for enterprises that are ready to start unlocking real value from AI.
Why knowledge friction costs enterprises thousands of hours of productivity. Four common approaches to solving the enterprise productivity problem — and why they fall shortHow to unlock the value of AI and solve your productivity problem with a Knowledge AI platform
70% of employees report spending an hour or more searching for a single piece of information.*
Companies are creating more content and data than ever – but most of it isn’t discoverable. This frustrating disconnect between content creators and content consumers is what we call knowledge friction. And it costs enterprises thousands of hours of productivity.
*2024 Survey on Information Discovery, Unisphere Research.
Companies have tried various solutions to generate actionable answers from their existing content, yet the enterprise productivity problem remains. Where web search, legacy enterprise search, homegrown solutions, and AI startups all fall short, Knowledge AI is eliminating knowledge friction once and for all.
Using cutting-edge technology like natural language processing (NLP) and retrieval-augmented generation (RAG), an enterprise Knowledge AI platform swiftly extracts valuable knowledge from existing content, reading it like a human would, and transforming that knowledge into answers for your teams.
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Stop endlessly searching through PubMed to find the right citation, research guidance, or trial data. RAE lets you ask a question, queries millions of information sources, and delivers the right answer in less than a second, pointing you to the source document(s) in case you’d like to gather more context.
Your own research data may contain insights that are even more valuable than the information hidden in MEDLINE and other biomedical literature. That’s why RAE allows researchers to upload their own research, such as clinical trial findings, patient data, and internal unpublished research papers.
RAE delivers trustworthy, verifiable, always up-to-date answers, which are critical in a research setting. RAE’s best-in-class retrieval model uses advanced machine learning, computer vision, and optical character recognition to read complex information — even handwritten documents and diagrams — like a human would. RAE never hallucinates, since it only pulls from trusted research content, and delivers over 90% accuracy out of the box (with further improvements over time).
For many organizations, life sciences research can comprise tens of thousands of voluminous research articles. RAE’s massive storage and compute resources enable it to ingest terabytes of research data — including PDFs, text files, images, video, and more — and transform that data into accurate answers.
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To ensure private research data and queries remain private, RAE runs entirely on-premises, not in a public cloud environment. RAE comes preloaded with Pryon, a Knowledge AI platform. Pryon’s AI models do not train on your data, so your data remains yours and yours alone. The system additionally ensures security against external parties with a self-contained, SOC 2 Type II-compliant architecture. All running securely on-prem on Dell PowerEdge servers.
“We can’t wait to see how pharmaceutical companies, research institutes, and development organizations use the Pryon | Dell Research Answer Engine. With this solution, life science experts can spend less time searching PubMed and internal resources for answers and more time conducting game-changing research.”
— Alex Long, Head of Strategy, Life Sciences at Dell Technologies
RAE helps accelerate the research process by enabling researchers to quickly get answers to their questions directly from trusted sources, such as MEDLINE and private research. Life science researchers no longer need to waste time and energy hunting for valuable information when they could instead be helping develop new treatments.
- Where stalled information access is holding enterprises back
- The leading barriers to delivering business-critical information to end users
- The top AI use cases enterprise leaders are exploring for 2024
- Strategies for implementing AI solutions without exposing your organization to risk
92% of enterprise leaders agree that access to fast, accurate information from unstructured content is vital to their business.
70% of leaders report that employees in their organization spend more than an hour looking for a piece of information, with nearly a quarter (23%) spending more than 5 hours.
The two leading use cases for AI involve helping users better understand and get answers from information spread across the enterprise.
Nobody wants to get left behind in the race towards digital transformation. That’s why enterprise leaders are under pressure to accelerate productivity and innovation using AI — and many are well on their way. In fact, a 2024 survey from Unisphere Research found that more than half (59%) of enterprises either have an AI solution already in place or are planning to implement one within the next three to twelve months.
Following the generative AI boom of 2023, many organizations have seen the transformational impact that AI can have on a business. The 2024 Survey on Enterprise Information Discovery revealed a long list of benefits enterprise leaders anticipate AI will bring, including:
More than half of today’s enterprises currently have an AI solution in place or are planning to implement one within the next 3-12 months.
With so much potential value on the table, the question becomes not whether to implement AI, but where to start. When enterprise leaders were asked to identify their main planned use cases for AI, the same survey revealed that the top two priorities involve helping users better understand and get answers from the content scattered across their organizations.
The top two enterprise AI priorities for 2024 involve helping users better understand and get answers from information scattered across the organization.
This focus on retrieving and delivering answers from existing content comes as no surprise, since employees lose thousands of productive hours searching for information. Even worse, despite the valuable time and resources put into creating content for salespeople, researchers, operations, and customer support teams, one in five enterprises reports that less than half of their organization’s content is readily available. As a result, users are left sifting through mountains of content only to come up empty-handed.
Many enterprises are stuck in this cycle of inefficiency that stalls progress and stifles innovation — which is why many are now looking to AI to offer a way out.
Knowledge AI extracts valuable knowledge from an organization’s existing content and swiftly transforms that knowledge into answers. Using innovative technologies like natural language processing (NLP) and retrieval-augmented generation (RAG), a Knowledge AI platform can read and understand enterprise content like a human would, but at a scale and speed far beyond what is humanly possible. This means no more endless searching through complex systems or wasting time producing content that goes unused. Instead, enterprise teams can rely on a Knowledge AI platform for instant access to reliable answers, precisely when and where they need them.
Knowledge AI enables organizations to extract useful knowledge from their existing content, instantly providing people with accurate answers.
As enterprises race to keep up with the speed of digital transformation, Knowledge AI can deliver immediate value across all areas of the business. From sales and customer support to operations and R&D, and beyond, Knowledge AI presents a promising opportunity for enterprises that are ready to start unlocking real value from AI.
Nobody wants to get left behind in the race towards digital transformation. That’s why enterprise leaders are under pressure to accelerate productivity and innovation using AI — and many are well on their way. In fact, a 2024 survey from Unisphere Research found that more than half (59%) of enterprises either have an AI solution already in place or are planning to implement one within the next three to twelve months.
Following the generative AI boom of 2023, many organizations have seen the transformational impact that AI can have on a business. The 2024 Survey on Enterprise Information Discovery revealed a long list of benefits enterprise leaders anticipate AI will bring, including:
More than half of today’s enterprises currently have an AI solution in place or are planning to implement one within the next 3-12 months.
With so much potential value on the table, the question becomes not whether to implement AI, but where to start. When enterprise leaders were asked to identify their main planned use cases for AI, the same survey revealed that the top two priorities involve helping users better understand and get answers from the content scattered across their organizations.
The top two enterprise AI priorities for 2024 involve helping users better understand and get answers from information scattered across the organization.
This focus on retrieving and delivering answers from existing content comes as no surprise, since employees lose thousands of productive hours searching for information. Even worse, despite the valuable time and resources put into creating content for salespeople, researchers, operations, and customer support teams, one in five enterprises reports that less than half of their organization’s content is readily available. As a result, users are left sifting through mountains of content only to come up empty-handed.
Many enterprises are stuck in this cycle of inefficiency that stalls progress and stifles innovation — which is why many are now looking to AI to offer a way out.
Knowledge AI extracts valuable knowledge from an organization’s existing content and swiftly transforms that knowledge into answers. Using innovative technologies like natural language processing (NLP) and retrieval-augmented generation (RAG), a Knowledge AI platform can read and understand enterprise content like a human would, but at a scale and speed far beyond what is humanly possible. This means no more endless searching through complex systems or wasting time producing content that goes unused. Instead, enterprise teams can rely on a Knowledge AI platform for instant access to reliable answers, precisely when and where they need them.
Knowledge AI enables organizations to extract useful knowledge from their existing content, instantly providing people with accurate answers.
As enterprises race to keep up with the speed of digital transformation, Knowledge AI can deliver immediate value across all areas of the business. From sales and customer support to operations and R&D, and beyond, Knowledge AI presents a promising opportunity for enterprises that are ready to start unlocking real value from AI.
Read this guide to:
Government agencies need to ensure employees, service members, and citizens quickly and easily receive the answers they need to drive productivity and enable decision advantage.
Internal content authors work diligently to produce and update content, including policies, procedures, and lessons learned. Yet staff, managers, and senior leaders still lose valuable time wading through pools of siloed information to find answers. As a result, the gap between critical information and those who need it most continues to widen.
Government agencies need to ensure employees, service members, and citizens quickly and easily receive the answers they need to drive productivity and enable decision advantage.
With the right GenAI solutions in place, staff and service members can take on challenges with greater speed and intelligence.
Not every GenAI solution on the market is fit to meet the specific needs of government agencies. Implementing GenAI in a regulated environment requires careful consideration of four critical factors to ensure success:
Many federal agencies are turning to Retrieval-Augmented Generation (RAG) to support their GenAI solutions. RAG is a framework that combines retrieval and generative capabilities to deliver accurate and trustworthy responses.
This approach mitigates common issues with GenAI tools, such as hallucinations and ensures that responses are based on authoritative content with clear source attribution.
