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Science fiction movies typically position machines as hostile forces. Rogue artificial intelligence (AI)-powered robots seize control of critical political and business functions and dominate the world’s people until checked by a brave iconoclast.
But the reality we face is much brighter than those celluloid nightmares. Machines provide ultra-fast processing capabilities, the ability to automate complex tasks, and the tools to drive to insight. People provide leadership, creative problem solving, and the desire to train machines to do more. When they work cooperatively, machines and people can tackle ever-more complex challenges. From addressing industry issues and climate change to empowering knowledge workers to innovate faster, our future will be characterized by a closer partnership between machines and people that will benefit both.
This vision for cooperative man-machine relationships is called augmented intelligence. Other common synonyms for this technology trend include enhanced intelligence, intelligent augmentation, intelligence amplification, cognitive augmentation, and decision support.
So, just what is augmented intelligence? Gartner states that “Augmented intelligence is a design pattern for a human-centered partnership model of people and artificial intelligence (AI) working together to enhance cognitive performance, including learning, decision making and new experiences.”
California Management Review describes it simply as “AI systems designed to help humans make better decisions.”
Augmented intelligence acknowledges the reality that machines have enormous capabilities but do not always need to work autonomously in order to provide value. Data scientists train data models so that computers can think, learn, and act like humans, which we call artificial intelligence. Augmented intelligence, on the other hand, seeks to enhance and extend human capabilities. Both are needed, and AI is an important precursor to reaping the benefits of augmented intelligence.
Augmented intelligence uses technologies such as natural language processing (NLP), machine learning (ML), and computer vision to perform five critical functions:
Understand data – People feed large data sets into a platform or solution, and NLP and ML help make sense of it.
Interpret data – The augmented intelligence platform uses historical data and models to interpret newer data accurately.
Reason – The system then provides valuable results for users.
Learn – Business users, from data scientists to teams who interact with tools, provide feedback that is used to optimize results on an ongoing basis.
Assure – AI technologies help provide security and compliance, protecting data from unauthorized use.
Company interest in augmented intelligence is growing quickly. In fact, Allied Market Research expects sales of hardware, software, and services to reach $121.57 billion in sales by 2030. Even in its early days, augmented intelligence is delivering incredible benefits. In 2019, Gartner predicted that AI augmentation would create $2.9 trillion in new business value and unleash 6.2 billion hours of worker productivity. Those gains are likely larger, due to the fast pace of digital transformation that has occurred over the past two years.
As a form of artificial intelligence that is designed to help, not replace, humans, augmented intelligence can help drive efficiencies for organizations — without the risk or controversy of fully automated AI approaches.
Augmented intelligence:
Multiple trends are accelerating the development and implementation of augmented intelligence. These trends include:
Augmented intelligence solutions are predominantly deployed by enterprises. That’s because developing and training AI models to execute complex processes takes time, investment, and hard work by skilled data scientists.
However, there’s an easier way to get started: deploy a low-code or no-code solution for a specific use case.
Augmented intelligence leader Pryon offers virtual assistants that streamline workflow in key business functions and can be deployed within minutes. For example, the Agent Augmentation Assistant provides call center agents with instant access to complex data, such as solution technical specifications, enabling them to deliver better service to customers.
Augmented intelligence is being used widely across industries. Here’s what industry companies are doing today
Companies have already embedded AI into critical processes. They can use this information, as well as insight into their current challenges, to determine:
Pryon is an artificial intelligence company that is transforming enterprise knowledge into interactive experiences. Recognizing that companies want faster results to increase competitiveness, we offer a no-code platform that can be deployed in minutes. Companies can deploy the Pryon platform, point it at a knowledge base, and watch it get to work.
Pryon uses natural language processing to perform deep search and answer questions at ultra-fast speeds and with industry-leading accuracy. Companies deploy our platform to master such challenges as streamlining employee onboarding and HR processes, optimizing IT support, and improving workplace safety.
Science fiction movies typically position machines as hostile forces. Rogue artificial intelligence (AI)-powered robots seize control of critical political and business functions and dominate the world’s people until checked by a brave iconoclast.
But the reality we face is much brighter than those celluloid nightmares. Machines provide ultra-fast processing capabilities, the ability to automate complex tasks, and the tools to drive to insight. People provide leadership, creative problem solving, and the desire to train machines to do more. When they work cooperatively, machines and people can tackle ever-more complex challenges. From addressing industry issues and climate change to empowering knowledge workers to innovate faster, our future will be characterized by a closer partnership between machines and people that will benefit both.
This vision for cooperative man-machine relationships is called augmented intelligence. Other common synonyms for this technology trend include enhanced intelligence, intelligent augmentation, intelligence amplification, cognitive augmentation, and decision support.
So, just what is augmented intelligence? Gartner states that “Augmented intelligence is a design pattern for a human-centered partnership model of people and artificial intelligence (AI) working together to enhance cognitive performance, including learning, decision making and new experiences.”
California Management Review describes it simply as “AI systems designed to help humans make better decisions.”
Augmented intelligence acknowledges the reality that machines have enormous capabilities but do not always need to work autonomously in order to provide value. Data scientists train data models so that computers can think, learn, and act like humans, which we call artificial intelligence. Augmented intelligence, on the other hand, seeks to enhance and extend human capabilities. Both are needed, and AI is an important precursor to reaping the benefits of augmented intelligence.
Augmented intelligence uses technologies such as natural language processing (NLP), machine learning (ML), and computer vision to perform five critical functions:
Understand data – People feed large data sets into a platform or solution, and NLP and ML help make sense of it.
Interpret data – The augmented intelligence platform uses historical data and models to interpret newer data accurately.
Reason – The system then provides valuable results for users.
Learn – Business users, from data scientists to teams who interact with tools, provide feedback that is used to optimize results on an ongoing basis.
Assure – AI technologies help provide security and compliance, protecting data from unauthorized use.
Company interest in augmented intelligence is growing quickly. In fact, Allied Market Research expects sales of hardware, software, and services to reach $121.57 billion in sales by 2030. Even in its early days, augmented intelligence is delivering incredible benefits. In 2019, Gartner predicted that AI augmentation would create $2.9 trillion in new business value and unleash 6.2 billion hours of worker productivity. Those gains are likely larger, due to the fast pace of digital transformation that has occurred over the past two years.
As a form of artificial intelligence that is designed to help, not replace, humans, augmented intelligence can help drive efficiencies for organizations — without the risk or controversy of fully automated AI approaches.
Augmented intelligence:
Multiple trends are accelerating the development and implementation of augmented intelligence. These trends include:
Augmented intelligence solutions are predominantly deployed by enterprises. That’s because developing and training AI models to execute complex processes takes time, investment, and hard work by skilled data scientists.
However, there’s an easier way to get started: deploy a low-code or no-code solution for a specific use case.
Augmented intelligence leader Pryon offers virtual assistants that streamline workflow in key business functions and can be deployed within minutes. For example, the Agent Augmentation Assistant provides call center agents with instant access to complex data, such as solution technical specifications, enabling them to deliver better service to customers.
Augmented intelligence is being used widely across industries. Here’s what industry companies are doing today
Companies have already embedded AI into critical processes. They can use this information, as well as insight into their current challenges, to determine:
Pryon is an artificial intelligence company that is transforming enterprise knowledge into interactive experiences. Recognizing that companies want faster results to increase competitiveness, we offer a no-code platform that can be deployed in minutes. Companies can deploy the Pryon platform, point it at a knowledge base, and watch it get to work.
Pryon uses natural language processing to perform deep search and answer questions at ultra-fast speeds and with industry-leading accuracy. Companies deploy our platform to master such challenges as streamlining employee onboarding and HR processes, optimizing IT support, and improving workplace safety.
Science fiction movies typically position machines as hostile forces. Rogue artificial intelligence (AI)-powered robots seize control of critical political and business functions and dominate the world’s people until checked by a brave iconoclast.
But the reality we face is much brighter than those celluloid nightmares. Machines provide ultra-fast processing capabilities, the ability to automate complex tasks, and the tools to drive to insight. People provide leadership, creative problem solving, and the desire to train machines to do more. When they work cooperatively, machines and people can tackle ever-more complex challenges. From addressing industry issues and climate change to empowering knowledge workers to innovate faster, our future will be characterized by a closer partnership between machines and people that will benefit both.
This vision for cooperative man-machine relationships is called augmented intelligence. Other common synonyms for this technology trend include enhanced intelligence, intelligent augmentation, intelligence amplification, cognitive augmentation, and decision support.
So, just what is augmented intelligence? Gartner states that “Augmented intelligence is a design pattern for a human-centered partnership model of people and artificial intelligence (AI) working together to enhance cognitive performance, including learning, decision making and new experiences.”
California Management Review describes it simply as “AI systems designed to help humans make better decisions.”
Augmented intelligence acknowledges the reality that machines have enormous capabilities but do not always need to work autonomously in order to provide value. Data scientists train data models so that computers can think, learn, and act like humans, which we call artificial intelligence. Augmented intelligence, on the other hand, seeks to enhance and extend human capabilities. Both are needed, and AI is an important precursor to reaping the benefits of augmented intelligence.
Augmented intelligence uses technologies such as natural language processing (NLP), machine learning (ML), and computer vision to perform five critical functions:
Understand data – People feed large data sets into a platform or solution, and NLP and ML help make sense of it.
Interpret data – The augmented intelligence platform uses historical data and models to interpret newer data accurately.
Reason – The system then provides valuable results for users.
Learn – Business users, from data scientists to teams who interact with tools, provide feedback that is used to optimize results on an ongoing basis.
Assure – AI technologies help provide security and compliance, protecting data from unauthorized use.
Company interest in augmented intelligence is growing quickly. In fact, Allied Market Research expects sales of hardware, software, and services to reach $121.57 billion in sales by 2030. Even in its early days, augmented intelligence is delivering incredible benefits. In 2019, Gartner predicted that AI augmentation would create $2.9 trillion in new business value and unleash 6.2 billion hours of worker productivity. Those gains are likely larger, due to the fast pace of digital transformation that has occurred over the past two years.
As a form of artificial intelligence that is designed to help, not replace, humans, augmented intelligence can help drive efficiencies for organizations — without the risk or controversy of fully automated AI approaches.
Augmented intelligence:
Multiple trends are accelerating the development and implementation of augmented intelligence. These trends include:
Augmented intelligence solutions are predominantly deployed by enterprises. That’s because developing and training AI models to execute complex processes takes time, investment, and hard work by skilled data scientists.
However, there’s an easier way to get started: deploy a low-code or no-code solution for a specific use case.
Augmented intelligence leader Pryon offers virtual assistants that streamline workflow in key business functions and can be deployed within minutes. For example, the Agent Augmentation Assistant provides call center agents with instant access to complex data, such as solution technical specifications, enabling them to deliver better service to customers.
Augmented intelligence is being used widely across industries. Here’s what industry companies are doing today
Companies have already embedded AI into critical processes. They can use this information, as well as insight into their current challenges, to determine:
Pryon is an artificial intelligence company that is transforming enterprise knowledge into interactive experiences. Recognizing that companies want faster results to increase competitiveness, we offer a no-code platform that can be deployed in minutes. Companies can deploy the Pryon platform, point it at a knowledge base, and watch it get to work.
Pryon uses natural language processing to perform deep search and answer questions at ultra-fast speeds and with industry-leading accuracy. Companies deploy our platform to master such challenges as streamlining employee onboarding and HR processes, optimizing IT support, and improving workplace safety.
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.
Science fiction movies typically position machines as hostile forces. Rogue artificial intelligence (AI)-powered robots seize control of critical political and business functions and dominate the world’s people until checked by a brave iconoclast.
But the reality we face is much brighter than those celluloid nightmares. Machines provide ultra-fast processing capabilities, the ability to automate complex tasks, and the tools to drive to insight. People provide leadership, creative problem solving, and the desire to train machines to do more. When they work cooperatively, machines and people can tackle ever-more complex challenges. From addressing industry issues and climate change to empowering knowledge workers to innovate faster, our future will be characterized by a closer partnership between machines and people that will benefit both.
This vision for cooperative man-machine relationships is called augmented intelligence. Other common synonyms for this technology trend include enhanced intelligence, intelligent augmentation, intelligence amplification, cognitive augmentation, and decision support.
So, just what is augmented intelligence? Gartner states that “Augmented intelligence is a design pattern for a human-centered partnership model of people and artificial intelligence (AI) working together to enhance cognitive performance, including learning, decision making and new experiences.”
California Management Review describes it simply as “AI systems designed to help humans make better decisions.”
Augmented intelligence acknowledges the reality that machines have enormous capabilities but do not always need to work autonomously in order to provide value. Data scientists train data models so that computers can think, learn, and act like humans, which we call artificial intelligence. Augmented intelligence, on the other hand, seeks to enhance and extend human capabilities. Both are needed, and AI is an important precursor to reaping the benefits of augmented intelligence.
Augmented intelligence uses technologies such as natural language processing (NLP), machine learning (ML), and computer vision to perform five critical functions:
Understand data – People feed large data sets into a platform or solution, and NLP and ML help make sense of it.
Interpret data – The augmented intelligence platform uses historical data and models to interpret newer data accurately.
Reason – The system then provides valuable results for users.
Learn – Business users, from data scientists to teams who interact with tools, provide feedback that is used to optimize results on an ongoing basis.
Assure – AI technologies help provide security and compliance, protecting data from unauthorized use.
Company interest in augmented intelligence is growing quickly. In fact, Allied Market Research expects sales of hardware, software, and services to reach $121.57 billion in sales by 2030. Even in its early days, augmented intelligence is delivering incredible benefits. In 2019, Gartner predicted that AI augmentation would create $2.9 trillion in new business value and unleash 6.2 billion hours of worker productivity. Those gains are likely larger, due to the fast pace of digital transformation that has occurred over the past two years.
As a form of artificial intelligence that is designed to help, not replace, humans, augmented intelligence can help drive efficiencies for organizations — without the risk or controversy of fully automated AI approaches.
Augmented intelligence:
Multiple trends are accelerating the development and implementation of augmented intelligence. These trends include:
Augmented intelligence solutions are predominantly deployed by enterprises. That’s because developing and training AI models to execute complex processes takes time, investment, and hard work by skilled data scientists.
However, there’s an easier way to get started: deploy a low-code or no-code solution for a specific use case.
Augmented intelligence leader Pryon offers virtual assistants that streamline workflow in key business functions and can be deployed within minutes. For example, the Agent Augmentation Assistant provides call center agents with instant access to complex data, such as solution technical specifications, enabling them to deliver better service to customers.
Augmented intelligence is being used widely across industries. Here’s what industry companies are doing today
Companies have already embedded AI into critical processes. They can use this information, as well as insight into their current challenges, to determine:
Pryon is an artificial intelligence company that is transforming enterprise knowledge into interactive experiences. Recognizing that companies want faster results to increase competitiveness, we offer a no-code platform that can be deployed in minutes. Companies can deploy the Pryon platform, point it at a knowledge base, and watch it get to work.
Pryon uses natural language processing to perform deep search and answer questions at ultra-fast speeds and with industry-leading accuracy. Companies deploy our platform to master such challenges as streamlining employee onboarding and HR processes, optimizing IT support, and improving workplace safety.
Science fiction movies typically position machines as hostile forces. Rogue artificial intelligence (AI)-powered robots seize control of critical political and business functions and dominate the world’s people until checked by a brave iconoclast.
But the reality we face is much brighter than those celluloid nightmares. Machines provide ultra-fast processing capabilities, the ability to automate complex tasks, and the tools to drive to insight. People provide leadership, creative problem solving, and the desire to train machines to do more. When they work cooperatively, machines and people can tackle ever-more complex challenges. From addressing industry issues and climate change to empowering knowledge workers to innovate faster, our future will be characterized by a closer partnership between machines and people that will benefit both.
This vision for cooperative man-machine relationships is called augmented intelligence. Other common synonyms for this technology trend include enhanced intelligence, intelligent augmentation, intelligence amplification, cognitive augmentation, and decision support.
So, just what is augmented intelligence? Gartner states that “Augmented intelligence is a design pattern for a human-centered partnership model of people and artificial intelligence (AI) working together to enhance cognitive performance, including learning, decision making and new experiences.”
California Management Review describes it simply as “AI systems designed to help humans make better decisions.”
Augmented intelligence acknowledges the reality that machines have enormous capabilities but do not always need to work autonomously in order to provide value. Data scientists train data models so that computers can think, learn, and act like humans, which we call artificial intelligence. Augmented intelligence, on the other hand, seeks to enhance and extend human capabilities. Both are needed, and AI is an important precursor to reaping the benefits of augmented intelligence.
Augmented intelligence uses technologies such as natural language processing (NLP), machine learning (ML), and computer vision to perform five critical functions:
Understand data – People feed large data sets into a platform or solution, and NLP and ML help make sense of it.
Interpret data – The augmented intelligence platform uses historical data and models to interpret newer data accurately.
Reason – The system then provides valuable results for users.
Learn – Business users, from data scientists to teams who interact with tools, provide feedback that is used to optimize results on an ongoing basis.
Assure – AI technologies help provide security and compliance, protecting data from unauthorized use.
Company interest in augmented intelligence is growing quickly. In fact, Allied Market Research expects sales of hardware, software, and services to reach $121.57 billion in sales by 2030. Even in its early days, augmented intelligence is delivering incredible benefits. In 2019, Gartner predicted that AI augmentation would create $2.9 trillion in new business value and unleash 6.2 billion hours of worker productivity. Those gains are likely larger, due to the fast pace of digital transformation that has occurred over the past two years.
As a form of artificial intelligence that is designed to help, not replace, humans, augmented intelligence can help drive efficiencies for organizations — without the risk or controversy of fully automated AI approaches.
Augmented intelligence:
Multiple trends are accelerating the development and implementation of augmented intelligence. These trends include:
Augmented intelligence solutions are predominantly deployed by enterprises. That’s because developing and training AI models to execute complex processes takes time, investment, and hard work by skilled data scientists.
However, there’s an easier way to get started: deploy a low-code or no-code solution for a specific use case.
Augmented intelligence leader Pryon offers virtual assistants that streamline workflow in key business functions and can be deployed within minutes. For example, the Agent Augmentation Assistant provides call center agents with instant access to complex data, such as solution technical specifications, enabling them to deliver better service to customers.
Augmented intelligence is being used widely across industries. Here’s what industry companies are doing today
Companies have already embedded AI into critical processes. They can use this information, as well as insight into their current challenges, to determine:
Pryon is an artificial intelligence company that is transforming enterprise knowledge into interactive experiences. Recognizing that companies want faster results to increase competitiveness, we offer a no-code platform that can be deployed in minutes. Companies can deploy the Pryon platform, point it at a knowledge base, and watch it get to work.
Pryon uses natural language processing to perform deep search and answer questions at ultra-fast speeds and with industry-leading accuracy. Companies deploy our platform to master such challenges as streamlining employee onboarding and HR processes, optimizing IT support, and improving workplace safety.
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.
