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UNDERSTANDING INTELLIGENT AUTOMATION Intelligent automation - the Indico way. Indico’s approach to intelligent automation, based on its Intelligent Process Automation platform, takes advantage of a base model consisting of more than 500 million labeled data points. To automate a given process, users label some of the actual documents involved in the process, using Indico’s AI-POWERED INTELLIGENT PROCESS AUTOMATION FOR UNSTRUCTURED The industry's first solution for document intake, understanding and digitization that effectively addresses structured, semi-structured, and unstructured documents. Support for scanned and native PDFs, MSWord, CSV and other unstructured content formats. Built-in OCR for scanned content support. Out of the box integrations with majorcontent
DOCUMENTATION
Deep Learning Open Source Libraries. Indico’s open source libraries allow us to give back to the community. For users that are more interested in the academic underpinnings of the work that we do here at Indico our open source repos, Finetune and Enso, give our users a straightforward way to break into deep learning and start playing around a bit closer to the metal than our other offerings. INDICO RAISES $22 MILLION IN SERIES B FUNDING TO EXTEND New investments in leadership team, channel partnerships and product enhancements follow on 300% growth in revenue in 2020. BOSTON, December 14, 2020 – Indico, a provider of enterprise AI solutions for intelligent process automation, today announced an infusion of $22 million of series B funding co-led by Jump Capital and SandboxInsurtech Ventures.
REDUCE P&C INSURANCE UNDERWRITING RISK WITH INTELLIGENT The Indico intelligent automation platform is also intended to be used by business people, turning them into “citizen data scientists.”. They use the platform to train models by labeling actual documents involved in the underwriting process, denoting the fields that should be extracted. Labeling just a few dozen documents will produce a DEFINING HYPERAUTOMATION AND ITS RELATIONSHIP TO Here’s a definition from Gartner’s October 2019 “Top Strategic Technology Trends for 2020” report: “Hyperautomation deals with the application of advanced technologies, including artificial intelligence (AI) and machine learning (ML), to increasingly automate processes and augment humans. Hyperautomation extends across a rangeof
3 WAYS INTELLIGENT AUTOMATION TRANSFORMS THE MORTGAGE A mortgage origination process starts with collecting data from the customer, such as property specifications, W-2s, paystubs and identification (i.e.: passport or driver’s license). For a refinance, you’ll also need real estate bills, insurance forms and more. While most banks these days can collect such data using onlineportals, making
EXPLORING COMPUTER VISION (PART II): TRANSFER LEARNING This approach increased our accuracy by nearly 7%, bringing us up to 73% accuracy, and putting us in the top 22% of contestants. Clearly, the transfer learning approach was a success. Since inception was trained on a massive dataset and has such a deep architecture, it has the capacity to extract general features about any image it sees. SHOULD WE REMOVE DUPLICATES FROM A DATA-SET WHILE TRAINING Should we remove duplicates from a data-set while training a Machine Learning algorithm (shallow and/or deep methods)? February 6, 2019 / Ask Slater, Machine Learning INTELLIGENT PROCESS AUTOMATION FOR THE ENTERPRISE Subscribe to the Indico newsletter. Subscribe to receive our latest blog posts, content and industry news on Intelligent Process Automation. Once a month we’ll send you an email with our best content to help keep you up to date on everything that’s happeningin the world of
UNDERSTANDING INTELLIGENT AUTOMATION Intelligent automation - the Indico way. Indico’s approach to intelligent automation, based on its Intelligent Process Automation platform, takes advantage of a base model consisting of more than 500 million labeled data points. To automate a given process, users label some of the actual documents involved in the process, using Indico’s AI-POWERED INTELLIGENT PROCESS AUTOMATION FOR UNSTRUCTURED The industry's first solution for document intake, understanding and digitization that effectively addresses structured, semi-structured, and unstructured documents. Support for scanned and native PDFs, MSWord, CSV and other unstructured content formats. Built-in OCR for scanned content support. Out of the box integrations with majorcontent
DOCUMENTATION
Deep Learning Open Source Libraries. Indico’s open source libraries allow us to give back to the community. For users that are more interested in the academic underpinnings of the work that we do here at Indico our open source repos, Finetune and Enso, give our users a straightforward way to break into deep learning and start playing around a bit closer to the metal than our other offerings. INDICO RAISES $22 MILLION IN SERIES B FUNDING TO EXTEND New investments in leadership team, channel partnerships and product enhancements follow on 300% growth in revenue in 2020. BOSTON, December 14, 2020 – Indico, a provider of enterprise AI solutions for intelligent process automation, today announced an infusion of $22 million of series B funding co-led by Jump Capital and SandboxInsurtech Ventures.
REDUCE P&C INSURANCE UNDERWRITING RISK WITH INTELLIGENT The Indico intelligent automation platform is also intended to be used by business people, turning them into “citizen data scientists.”. They use the platform to train models by labeling actual documents involved in the underwriting process, denoting the fields that should be extracted. Labeling just a few dozen documents will produce a DEFINING HYPERAUTOMATION AND ITS RELATIONSHIP TO Here’s a definition from Gartner’s October 2019 “Top Strategic Technology Trends for 2020” report: “Hyperautomation deals with the application of advanced technologies, including artificial intelligence (AI) and machine learning (ML), to increasingly automate processes and augment humans. Hyperautomation extends across a rangeof
3 WAYS INTELLIGENT AUTOMATION TRANSFORMS THE MORTGAGE A mortgage origination process starts with collecting data from the customer, such as property specifications, W-2s, paystubs and identification (i.e.: passport or driver’s license). For a refinance, you’ll also need real estate bills, insurance forms and more. While most banks these days can collect such data using onlineportals, making
EXPLORING COMPUTER VISION (PART II): TRANSFER LEARNING This approach increased our accuracy by nearly 7%, bringing us up to 73% accuracy, and putting us in the top 22% of contestants. Clearly, the transfer learning approach was a success. Since inception was trained on a massive dataset and has such a deep architecture, it has the capacity to extract general features about any image it sees. SHOULD WE REMOVE DUPLICATES FROM A DATA-SET WHILE TRAINING Should we remove duplicates from a data-set while training a Machine Learning algorithm (shallow and/or deep methods)? February 6, 2019 / Ask Slater, Machine Learning AI-POWERED INTELLIGENT PROCESS AUTOMATION FOR UNSTRUCTURED The industry's first solution for document intake, understanding and digitization that effectively addresses structured, semi-structured, and unstructured documents. Support for scanned and native PDFs, MSWord, CSV and other unstructured content formats. Built-in OCR for scanned content support. Out of the box integrations with majorcontent
ABOUT - INDICO
Tom Wilde, CEO. Tom brings 25 years of experience in solving the complex problems of digital content to the role of CEO of indico. Prior to joining indico, Tom was the Chief Product Officer at Cxense (see-sense), a leading Data Management provider and founder of Ramp, an enterprise video content management company.PRODUCT - INDICO
Whether its a simple contract analytics use case, or a complex multi-step process with scanned documents, images, photographs, and database integrations, the Indico IPA Platform custom models can easily be sequenced together into powerful workflows to solve even the most challenging processes. INDICO RAISES $22 MILLION IN SERIES B FUNDING TO EXTEND New investments in leadership team, channel partnerships and product enhancements follow on 300% growth in revenue in 2020. BOSTON, December 14, 2020 – Indico, a provider of enterprise AI solutions for intelligent process automation, today announced an infusion of $22 million of series B funding co-led by Jump Capital and SandboxInsurtech Ventures.
3 COMMERCIAL REAL ESTATE PROCESSES THAT SCREAM FOR 3 Commercial Real Estate Processes that Scream for Intelligent Automation. June 10, 2021 / Commercial Real Estate, Intelligent Process Automation, Use Case INTELLIGENT PROCESS AUTOMATION Today's enterprises are powered by dozens or hundreds of manual processes and workflows, most often involving documents and text-based information. Critical subject matter experts are bogged down with mundane and repetitive tasks and are unable to focus on new opportunities to drive value for the business. Indico IntelligentProcess Automation
VISUALIZING WITH T-SNE Conclusion. The applications of t-SNE are limitless. It can be applied anytime there is a high dimensional dataset — it has been applied to text and natural language processing, speech, and even to visualize Atari game states. Recently there has been a lot of hype around the term “ deep learning “. HOW INTELLIGENT PROCESS AUTOMATION ENABLES CITIZEN-LED AI It’s an idea known as citizen-led development. One approach to citizen-led development is to use an intelligent process automation (IPA) tool with an extensive knowledge base built in and a user interface (UI) that’s friendly enough for business people to use. Indico’s IPA platform, for example, includes a base model thatconsists of more
OUTLINING THE DIFFERENCE BETWEEN STRUCTURED, UNSTRUCTURED Semi-structured data: usually requires intelligence. Semi-structured data falls somewhere in between the other two categories. Back to the email example, while the text of the email is unstructured, the header contains structured elements: the “to” and “from” fields, date and time, for example. So, as a whole, an email may be considered HOW TO AUTOMATE ANTI-MONEY LAUNDERING REGULATORY Every financial institution must meet various regulatory requirements, including one that requires them to peruse literally thousands of documents and web pages: anti-money laundering (AML). INTELLIGENT PROCESS AUTOMATION FOR THE ENTERPRISE Subscribe to the Indico newsletter. Subscribe to receive our latest blog posts, content and industry news on Intelligent Process Automation. Once a month we’ll send you an email with our best content to help keep you up to date on everything that’s happeningin the world of
UNDERSTANDING INTELLIGENT AUTOMATION Intelligent automation - the Indico way. Indico’s approach to intelligent automation, based on its Intelligent Process Automation platform, takes advantage of a base model consisting of more than 500 million labeled data points. To automate a given process, users label some of the actual documents involved in the process, using Indico’sDOCUMENTATION
Deep Learning Open Source Libraries. Indico’s open source libraries allow us to give back to the community. For users that are more interested in the academic underpinnings of the work that we do here at Indico our open source repos, Finetune and Enso, give our users a straightforward way to break into deep learning and start playing around a bit closer to the metal than our other offerings. THE STRATEGIC GUIDE TO INTELLIGENT DOCUMENT Intelligent document processing is gaining traction because many organizations have reached the limit of what they can do with robotic process automation (RPA) and are looking to take the next step in their automation journey.. While RPA and optical character recognition (OCR) templated approaches to document automation work well with highly structured content, where the expected data is inABOUT - INDICO
Tom Wilde, CEO. Tom brings 25 years of experience in solving the complex problems of digital content to the role of CEO of indico. Prior to joining indico, Tom was the Chief Product Officer at Cxense (see-sense), a leading Data Management provider and founder of Ramp,an
QUICKSTART - INDICO
Step 1: Get Your Free API Key. New users: To create an account and receive your API key, register here. To find your API key click on the dashboard tab on the left. Note: You will be prompted to login again. Returning users: If you already have an account, you can always retrieve your API key and manage your API usage on your indicodashboard.
3 WAYS INTELLIGENT AUTOMATION TRANSFORMS THE MORTGAGE A mortgage origination process starts with collecting data from the customer, such as property specifications, W-2s, paystubs and identification (i.e.: passport or driver’s license). For a refinance, you’ll also need real estate bills, insurance forms and more. While most banks these days can collect such data using onlineportals, making
EXPLORING COMPUTER VISION (PART II): TRANSFER LEARNING This approach increased our accuracy by nearly 7%, bringing us up to 73% accuracy, and putting us in the top 22% of contestants. Clearly, the transfer learning approach was a success. Since inception was trained on a massive dataset and has such a deep architecture, it has the capacity to extract general features about any image it sees. VISUALIZING WITH T-SNE WHY DO MACHINE LEARNING ALGORITHMS REQUIRE LARGE AMOUNTS Depends a bit on which model type you’re talking about, but for the purposes of illustration I’m going to assume that we’re talking about something like a INTELLIGENT PROCESS AUTOMATION FOR THE ENTERPRISE Subscribe to the Indico newsletter. Subscribe to receive our latest blog posts, content and industry news on Intelligent Process Automation. Once a month we’ll send you an email with our best content to help keep you up to date on everything that’s happeningin the world of
UNDERSTANDING INTELLIGENT AUTOMATION Intelligent automation - the Indico way. Indico’s approach to intelligent automation, based on its Intelligent Process Automation platform, takes advantage of a base model consisting of more than 500 million labeled data points. To automate a given process, users label some of the actual documents involved in the process, using Indico’sDOCUMENTATION
Deep Learning Open Source Libraries. Indico’s open source libraries allow us to give back to the community. For users that are more interested in the academic underpinnings of the work that we do here at Indico our open source repos, Finetune and Enso, give our users a straightforward way to break into deep learning and start playing around a bit closer to the metal than our other offerings. THE STRATEGIC GUIDE TO INTELLIGENT DOCUMENT Intelligent document processing is gaining traction because many organizations have reached the limit of what they can do with robotic process automation (RPA) and are looking to take the next step in their automation journey.. While RPA and optical character recognition (OCR) templated approaches to document automation work well with highly structured content, where the expected data is inABOUT - INDICO
Tom Wilde, CEO. Tom brings 25 years of experience in solving the complex problems of digital content to the role of CEO of indico. Prior to joining indico, Tom was the Chief Product Officer at Cxense (see-sense), a leading Data Management provider and founder of Ramp,an
QUICKSTART - INDICO
Step 1: Get Your Free API Key. New users: To create an account and receive your API key, register here. To find your API key click on the dashboard tab on the left. Note: You will be prompted to login again. Returning users: If you already have an account, you can always retrieve your API key and manage your API usage on your indicodashboard.
3 WAYS INTELLIGENT AUTOMATION TRANSFORMS THE MORTGAGE A mortgage origination process starts with collecting data from the customer, such as property specifications, W-2s, paystubs and identification (i.e.: passport or driver’s license). For a refinance, you’ll also need real estate bills, insurance forms and more. While most banks these days can collect such data using onlineportals, making
EXPLORING COMPUTER VISION (PART II): TRANSFER LEARNING This approach increased our accuracy by nearly 7%, bringing us up to 73% accuracy, and putting us in the top 22% of contestants. Clearly, the transfer learning approach was a success. Since inception was trained on a massive dataset and has such a deep architecture, it has the capacity to extract general features about any image it sees. VISUALIZING WITH T-SNE WHY DO MACHINE LEARNING ALGORITHMS REQUIRE LARGE AMOUNTS Depends a bit on which model type you’re talking about, but for the purposes of illustration I’m going to assume that we’re talking about something like aDOCUMENTATION
Deep Learning Open Source Libraries. Indico’s open source libraries allow us to give back to the community. For users that are more interested in the academic underpinnings of the work that we do here at Indico our open source repos, Finetune and Enso, give our users a straightforward way to break into deep learning and start playing around a bit closer to the metal than our other offerings. AI-POWERED INTELLIGENT PROCESS AUTOMATION FOR UNSTRUCTURED The industry's first solution for document intake, understanding and digitization that effectively addresses structured, semi-structured, and unstructured documents. Support for scanned and native PDFs, MSWord, CSV and other unstructured content formats. Built-in OCR for scanned content support. Out of the box integrations with majorcontent
ABOUT - INDICO
Tom Wilde, CEO. Tom brings 25 years of experience in solving the complex problems of digital content to the role of CEO of indico. Prior to joining indico, Tom was the Chief Product Officer at Cxense (see-sense), a leading Data Management provider and founder of Ramp, an enterprise video content management company. THE STRATEGIC GUIDE TO INTELLIGENT DOCUMENT PROCESSING Learn how to apply artificial intelligence to unstructured content workflows with context, accuracy, and nuance – without massive costs. Intelligent Document Processing (IDP) is technology that enables organizations to automate their most complex document-based workflows including forms, documents, text, images, video and more. INDICO RAISES $22 MILLION IN SERIES B FUNDING TO EXTEND New investments in leadership team, channel partnerships and product enhancements follow on 300% growth in revenue in 2020. BOSTON, December 14, 2020 – Indico, a provider of enterprise AI solutions for intelligent process automation, today announced an infusion of $22 million of series B funding co-led by Jump Capital and SandboxInsurtech Ventures.
INTELLIGENT PROCESS AUTOMATION Today's enterprises are powered by dozens or hundreds of manual processes and workflows, most often involving documents and text-based information. Critical subject matter experts are bogged down with mundane and repetitive tasks and are unable to focus on new opportunities to drive value for the business. Indico IntelligentProcess Automation
3 WAYS INTELLIGENT AUTOMATION TRANSFORMS THE MORTGAGE A mortgage origination process starts with collecting data from the customer, such as property specifications, W-2s, paystubs and identification (i.e.: passport or driver’s license). For a refinance, you’ll also need real estate bills, insurance forms and more. While most banks these days can collect such data using onlineportals, making
VISUALIZING WITH T-SNE Conclusion. The applications of t-SNE are limitless. It can be applied anytime there is a high dimensional dataset — it has been applied to text and natural language processing, speech, and even to visualize Atari game states. Recently there has been a lot of hype around the term “ deep learning “. REDUCE P&C INSURANCE UNDERWRITING RISK WITH INTELLIGENT The Indico intelligent automation platform is also intended to be used by business people, turning them into “citizen data scientists.”. They use the platform to train models by labeling actual documents involved in the underwriting process, denoting the fields that should be extracted. Labeling just a few dozen documents will produce a HOW INTELLIGENT PROCESS AUTOMATION ENABLES CITIZEN-LED AI It’s an idea known as citizen-led development. One approach to citizen-led development is to use an intelligent process automation (IPA) tool with an extensive knowledge base built in and a user interface (UI) that’s friendly enough for business people to use. Indico’s IPA platform, for example, includes a base model thatconsists of more
INTELLIGENT PROCESS AUTOMATION FOR THE ENTERPRISE Subscribe to the Indico newsletter. Subscribe to receive our latest blog posts, content and industry news on Intelligent Process Automation. Once a month we’ll send you an email with our best content to help keep you up to date on everything that’s happeningin the world of
UNDERSTANDING INTELLIGENT AUTOMATION Intelligent automation - the Indico way. Indico’s approach to intelligent automation, based on its Intelligent Process Automation platform, takes advantage of a base model consisting of more than 500 million labeled data points. To automate a given process, users label some of the actual documents involved in the process, using Indico’sDOCUMENTATION
Deep Learning Open Source Libraries. Indico’s open source libraries allow us to give back to the community. For users that are more interested in the academic underpinnings of the work that we do here at Indico our open source repos, Finetune and Enso, give our users a straightforward way to break into deep learning and start playing around a bit closer to the metal than our other offerings. THE STRATEGIC GUIDE TO INTELLIGENT DOCUMENT Claims processing. For insurance claims processing, intelligent document processing can be used to automate the classification and annotation of new claims, and route them to the appropriate subject matter expert for processing. It can also help extract pertinent information from documents, including unstructured content such asimages and free
QUICKSTART - INDICO
Step 1: Get Your Free API Key. New users: To create an account and receive your API key, register here. To find your API key click on the dashboard tab on the left. Note: You will be prompted to login again. Returning users: If you already have an account, you can always retrieve your API key and manage your API usage on your indicodashboard.
3 WAYS INTELLIGENT AUTOMATION TRANSFORMS THE MORTGAGE A mortgage origination process starts with collecting data from the customer, such as property specifications, W-2s, paystubs and identification (i.e.: passport or driver’s license). For a refinance, you’ll also need real estate bills, insurance forms and more. While most banks these days can collect such data using onlineportals, making
EXPLORING COMPUTER VISION (PART II): TRANSFER LEARNING This approach increased our accuracy by nearly 7%, bringing us up to 73% accuracy, and putting us in the top 22% of contestants. Clearly, the transfer learning approach was a success. Since inception was trained on a massive dataset and has such a deep architecture, it has the capacity to extract general features about any image it sees. VISUALIZING WITH T-SNE SHOULD WE REMOVE DUPLICATES FROM A DATA-SET WHILE TRAINING Should we remove duplicates from a data-set while training a Machine Learning algorithm (shallow and/or deep methods)? February 6, 2019 / Ask Slater, Machine Learning WHY DO MACHINE LEARNING ALGORITHMS REQUIRE LARGE AMOUNTS Depends a bit on which model type you’re talking about, but for the purposes of illustration I’m going to assume that we’re talking about something like a INTELLIGENT PROCESS AUTOMATION FOR THE ENTERPRISE Subscribe to the Indico newsletter. Subscribe to receive our latest blog posts, content and industry news on Intelligent Process Automation. Once a month we’ll send you an email with our best content to help keep you up to date on everything that’s happeningin the world of
UNDERSTANDING INTELLIGENT AUTOMATION Intelligent automation - the Indico way. Indico’s approach to intelligent automation, based on its Intelligent Process Automation platform, takes advantage of a base model consisting of more than 500 million labeled data points. To automate a given process, users label some of the actual documents involved in the process, using Indico’sDOCUMENTATION
Deep Learning Open Source Libraries. Indico’s open source libraries allow us to give back to the community. For users that are more interested in the academic underpinnings of the work that we do here at Indico our open source repos, Finetune and Enso, give our users a straightforward way to break into deep learning and start playing around a bit closer to the metal than our other offerings. THE STRATEGIC GUIDE TO INTELLIGENT DOCUMENT Claims processing. For insurance claims processing, intelligent document processing can be used to automate the classification and annotation of new claims, and route them to the appropriate subject matter expert for processing. It can also help extract pertinent information from documents, including unstructured content such asimages and free
QUICKSTART - INDICO
Step 1: Get Your Free API Key. New users: To create an account and receive your API key, register here. To find your API key click on the dashboard tab on the left. Note: You will be prompted to login again. Returning users: If you already have an account, you can always retrieve your API key and manage your API usage on your indicodashboard.
3 WAYS INTELLIGENT AUTOMATION TRANSFORMS THE MORTGAGE A mortgage origination process starts with collecting data from the customer, such as property specifications, W-2s, paystubs and identification (i.e.: passport or driver’s license). For a refinance, you’ll also need real estate bills, insurance forms and more. While most banks these days can collect such data using onlineportals, making
EXPLORING COMPUTER VISION (PART II): TRANSFER LEARNING This approach increased our accuracy by nearly 7%, bringing us up to 73% accuracy, and putting us in the top 22% of contestants. Clearly, the transfer learning approach was a success. Since inception was trained on a massive dataset and has such a deep architecture, it has the capacity to extract general features about any image it sees. VISUALIZING WITH T-SNE SHOULD WE REMOVE DUPLICATES FROM A DATA-SET WHILE TRAINING Should we remove duplicates from a data-set while training a Machine Learning algorithm (shallow and/or deep methods)? February 6, 2019 / Ask Slater, Machine Learning WHY DO MACHINE LEARNING ALGORITHMS REQUIRE LARGE AMOUNTS Depends a bit on which model type you’re talking about, but for the purposes of illustration I’m going to assume that we’re talking about something like a UNDERSTANDING INTELLIGENT AUTOMATION Indico’s approach to intelligent automation, based on its Intelligent Process Automation platform, takes advantage of a base model consisting of more than 500 million labeled data points. To automate a given process, users label some of the actual documents involved in the process, using Indico’s intuitive tools to detail exactly what type of data to look for.ABOUT - INDICO
Tom Wilde, CEO. Tom brings 25 years of experience in solving the complex problems of digital content to the role of CEO of indico. Prior to joining indico, Tom was the Chief Product Officer at Cxense (see-sense), a leading Data Management provider and founder of Ramp, an enterprise video content management company. AI-POWERED INTELLIGENT PROCESS AUTOMATION FOR UNSTRUCTURED The industry's first solution for document intake, understanding and digitization that effectively addresses structured, semi-structured, and unstructured documents. Support for scanned and native PDFs, MSWord, CSV and other unstructured content formats. Built-in OCR for scanned content support. Out of the box integrations with majorcontent
DOCUMENTATION
Deep Learning Open Source Libraries. Indico’s open source libraries allow us to give back to the community. For users that are more interested in the academic underpinnings of the work that we do here at Indico our open source repos, Finetune and Enso, give our users a straightforward way to break into deep learning and start playing around a bit closer to the metal than our other offerings. INDICO RAISES $22 MILLION IN SERIES B FUNDING TO EXTEND New investments in leadership team, channel partnerships and product enhancements follow on 300% growth in revenue in 2020. BOSTON, December 14, 2020 – Indico, a provider of enterprise AI solutions for intelligent process automation, today announced an infusion of $22 million of series B funding co-led by Jump Capital and SandboxInsurtech Ventures.
INTELLIGENT PROCESS AUTOMATION Today's enterprises are powered by dozens or hundreds of manual processes and workflows, most often involving documents and text-based information. Critical subject matter experts are bogged down with mundane and repetitive tasks and are unable to focus on new opportunities to drive value for the business. Indico IntelligentProcess Automation
QUICKSTART - INDICO
Subscribe to the Indico newsletter. Subscribe to receive our latest blog posts, content and industry news on Intelligent Process Automation. Once a month we’ll send you an email with our best content to help keep you up to date on everything that’s happening in the world of AI, Intelligent Automation and Machine Learning. VISUALIZING WITH T-SNE Conclusion. The applications of t-SNE are limitless. It can be applied anytime there is a high dimensional dataset — it has been applied to text and natural language processing, speech, and even to visualize Atari game states. Recently there has been a lot of hype around the term “ deep learning “. 3 WAYS INTELLIGENT AUTOMATION TRANSFORMS THE MORTGAGE A mortgage origination process starts with collecting data from the customer, such as property specifications, W-2s, paystubs and identification (i.e.: passport or driver’s license). For a refinance, you’ll also need real estate bills, insurance forms and more. While most banks these days can collect such data using onlineportals, making
REDUCE P&C INSURANCE UNDERWRITING RISK WITH INTELLIGENT The Indico intelligent automation platform is also intended to be used by business people, turning them into “citizen data scientists.”. They use the platform to train models by labeling actual documents involved in the underwriting process, denoting the fields that should be extracted. Labeling just a few dozen documents will produce a INTELLIGENT PROCESS AUTOMATION FOR THE ENTERPRISE Subscribe to the Indico newsletter. Subscribe to receive our latest blog posts, content and industry news on Intelligent Process Automation. Once a month we’ll send you an email with our best content to help keep you up to date on everything that’s happeningin the world of
AI-POWERED INTELLIGENT PROCESS AUTOMATION FOR UNSTRUCTUREDINDICO INCINDICO MAINEINDICO SEGUROSUN INDICO The industry's first solution for document intake, understanding and digitization that effectively addresses structured, semi-structured, and unstructured documents. Support for scanned and native PDFs, MSWord, CSV and other unstructured content formats. Built-in OCR for scanned content support. Out of the box integrations with majorcontent
DOCUMENTATION
Deep Learning Open Source Libraries. Indico’s open source libraries allow us to give back to the community. For users that are more interested in the academic underpinnings of the work that we do here at Indico our open source repos, Finetune and Enso, give our users a straightforward way to break into deep learning and start playing around a bit closer to the metal than our other offerings. UNDERSTANDING INTELLIGENT AUTOMATION Intelligent automation - the Indico way. Indico’s approach to intelligent automation, based on its Intelligent Process Automation platform, takes advantage of a base model consisting of more than 500 million labeled data points. To automate a given process, users label some of the actual documents involved in the process, using Indico’s INTELLIGENT PROCESS AUTOMATION Today's enterprises are powered by dozens or hundreds of manual processes and workflows, most often involving documents and text-based information. Critical subject matter experts are bogged down with mundane and repetitive tasks and are unable to focus on new opportunities to drive value for the business. Indico IntelligentProcess Automation
QUICKSTART - INDICO
Step 1: Get Your Free API Key. New users: To create an account and receive your API key, register here. To find your API key click on the dashboard tab on the left. Note: You will be prompted to login again. Returning users: If you already have an account, you can always retrieve your API key and manage your API usage on your indicodashboard.
3 WAYS INTELLIGENT AUTOMATION TRANSFORMS THE MORTGAGE A mortgage origination process starts with collecting data from the customer, such as property specifications, W-2s, paystubs and identification (i.e.: passport or driver’s license). For a refinance, you’ll also need real estate bills, insurance forms and more. While most banks these days can collect such data using onlineportals, making
VISUALIZING WITH T-SNE EXPLORING COMPUTER VISION (PART II): TRANSFER LEARNING This approach increased our accuracy by nearly 7%, bringing us up to 73% accuracy, and putting us in the top 22% of contestants. Clearly, the transfer learning approach was a success. Since inception was trained on a massive dataset and has such a deep architecture, it has the capacity to extract general features about any image it sees. FINETUNE QUICKSTART GUIDE Scikit-learn inspired model finetuning for natural language processing. Finetune is a library that allows users to leverage state-of-the-art pretrained NLP models for a wide variety ofdownstream tasks.
INTELLIGENT PROCESS AUTOMATION FOR THE ENTERPRISE Subscribe to the Indico newsletter. Subscribe to receive our latest blog posts, content and industry news on Intelligent Process Automation. Once a month we’ll send you an email with our best content to help keep you up to date on everything that’s happeningin the world of
AI-POWERED INTELLIGENT PROCESS AUTOMATION FOR UNSTRUCTUREDINDICO INCINDICO MAINEINDICO SEGUROSUN INDICO The industry's first solution for document intake, understanding and digitization that effectively addresses structured, semi-structured, and unstructured documents. Support for scanned and native PDFs, MSWord, CSV and other unstructured content formats. Built-in OCR for scanned content support. Out of the box integrations with majorcontent
DOCUMENTATION
Deep Learning Open Source Libraries. Indico’s open source libraries allow us to give back to the community. For users that are more interested in the academic underpinnings of the work that we do here at Indico our open source repos, Finetune and Enso, give our users a straightforward way to break into deep learning and start playing around a bit closer to the metal than our other offerings. UNDERSTANDING INTELLIGENT AUTOMATION Intelligent automation - the Indico way. Indico’s approach to intelligent automation, based on its Intelligent Process Automation platform, takes advantage of a base model consisting of more than 500 million labeled data points. To automate a given process, users label some of the actual documents involved in the process, using Indico’s INTELLIGENT PROCESS AUTOMATION Today's enterprises are powered by dozens or hundreds of manual processes and workflows, most often involving documents and text-based information. Critical subject matter experts are bogged down with mundane and repetitive tasks and are unable to focus on new opportunities to drive value for the business. Indico IntelligentProcess Automation
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Step 1: Get Your Free API Key. New users: To create an account and receive your API key, register here. To find your API key click on the dashboard tab on the left. Note: You will be prompted to login again. Returning users: If you already have an account, you can always retrieve your API key and manage your API usage on your indicodashboard.
3 WAYS INTELLIGENT AUTOMATION TRANSFORMS THE MORTGAGE A mortgage origination process starts with collecting data from the customer, such as property specifications, W-2s, paystubs and identification (i.e.: passport or driver’s license). For a refinance, you’ll also need real estate bills, insurance forms and more. While most banks these days can collect such data using onlineportals, making
VISUALIZING WITH T-SNE EXPLORING COMPUTER VISION (PART II): TRANSFER LEARNING This approach increased our accuracy by nearly 7%, bringing us up to 73% accuracy, and putting us in the top 22% of contestants. Clearly, the transfer learning approach was a success. Since inception was trained on a massive dataset and has such a deep architecture, it has the capacity to extract general features about any image it sees. FINETUNE QUICKSTART GUIDE Scikit-learn inspired model finetuning for natural language processing. Finetune is a library that allows users to leverage state-of-the-art pretrained NLP models for a wide variety ofdownstream tasks.
AI-POWERED INTELLIGENT PROCESS AUTOMATION FOR UNSTRUCTURED The industry's first solution for document intake, understanding and digitization that effectively addresses structured, semi-structured, and unstructured documents. Support for scanned and native PDFs, MSWord, CSV and other unstructured content formats. Built-in OCR for scanned content support. Out of the box integrations with majorcontent
ABOUT - INDICO
Tom Wilde, CEO. Tom brings 25 years of experience in solving the complex problems of digital content to the role of CEO of indico. Prior to joining indico, Tom was the Chief Product Officer at Cxense (see-sense), a leading Data Management provider and founder of Ramp, an enterprise video content management company.CAREERS - INDICO
Andy. Frontend Engineer. Astha. Software Engineer. Mike. UX and Design. What is your favorite perk or benefit at indico? For me, having the flexibility to work from home or take time off is one of the most important benefits that indico offers. With it, I can work comfortably and mitigate the stress that usually accompanies jobs likemine.
INDICO RAISES $22 MILLION IN SERIES B FUNDING TO EXTEND New investments in leadership team, channel partnerships and product enhancements follow on 300% growth in revenue in 2020. BOSTON, December 14, 2020 – Indico, a provider of enterprise AI solutions for intelligent process automation, today announced an infusion of $22 million of series B funding co-led by Jump Capital and SandboxInsurtech Ventures.
VISUALIZING WITH T-SNE Conclusion. The applications of t-SNE are limitless. It can be applied anytime there is a high dimensional dataset — it has been applied to text and natural language processing, speech, and even to visualize Atari game states. Recently there has been a lot of hype around the term “ deep learning “. REDUCE P&C INSURANCE UNDERWRITING RISK WITH INTELLIGENT The Indico intelligent automation platform is also intended to be used by business people, turning them into “citizen data scientists.”. They use the platform to train models by labeling actual documents involved in the underwriting process, denoting the fields that should be extracted. Labeling just a few dozen documents will produce a HOW INTELLIGENT PROCESS AUTOMATION ENABLES CITIZEN-LED AI It’s an idea known as citizen-led development. One approach to citizen-led development is to use an intelligent process automation (IPA) tool with an extensive knowledge base built in and a user interface (UI) that’s friendly enough for business people to use. Indico’s IPA platform, for example, includes a base model thatconsists of more
TENSORFLOW DATA INPUT (PART 2): EXTENSIONS & HACKS TensorFlow Data Input (Part 2): Extensions & Hacks. In Part 1 of this mini series, we explored various methods of data input for machine learning models using TensorFlow. In this article we’ll discuss a hybrid approach of those methods that allows for faster training, as well as some extensions to the demo in Part 1. DEEP LEARNING IN FASHION (PART 3): CLOTHING MATCHING In Part 2 of this series, we discussed how e-commerce fashion sites typically make clothing recommendations based on image similarity (here’s a great tutorial on how to do that, by the way).But what if you could also recommend products based on how well they matched with a past purchase? We built a fashion matching demo to show how you can do just that, and I’ll also teach you how to build THE GOOD, BAD, & UGLY OF TENSORFLOW TensorFlow Slim is a great reference for image models. Even if you prefer to write your own low-level Tensorflow code, the Slim repo can be a good reference for Tensorflow API usage, model design, etc. Skflow wraps Tensorflow methods in a scikit-learn-style API. In my hands, it seems a bit awkward compared to just importing and inliningthe
AI-POWERED INTELLIGENT PROCESS AUTOMATION FOR UNSTRUCTUREDINDICO INCINDICO MAINEINDICO SEGUROSUN INDICO Whether its a simple contract analytics use case, or a complex multi-step process with scanned documents, images, photographs, and database integrations, Indico IPA models can easily be "chained" together into powerful "pipelines" using our RESTful APIs to solve even the most challenging process.DOCUMENTATION
Deep Learning Open Source Libraries. Indico’s open source libraries allow us to give back to the community. For users that are more interested in the academic underpinnings of the work that we do here at Indico our open source repos, Finetune and Enso, give our users a straightforward way to break into deep learning and start playing around a bit closer to the metal than our other offerings.ABOUT - INDICO
Tom Wilde, CEO. Tom brings 25 years of experience in solving the complex problems of digital content to the role of CEO of indico. Prior to joining indico, Tom was the Chief Product Officer at Cxense (see-sense), a leading Data Management provider and founder of Ramp,an
INDICO RAISES $22 MILLION IN SERIES B FUNDING TO EXTEND New investments in leadership team, channel partnerships and product enhancements follow on 300% growth in revenue in 2020. BOSTON, December 14, 2020 – Indico, a provider of enterprise AI solutions for intelligent process automation, today announced an infusion of $22 million of series B funding co-led by Jump Capital and SandboxInsurtech Ventures.
INTELLIGENT PROCESS AUTOMATION Improve operational performance by automating unstructured content processes. Today's enterprises are powered by dozens or hundreds of manual processes and workflows, most often involving documents and text-based information. VISUALIZING WITH T-SNE 3 WAYS INTELLIGENT AUTOMATION TRANSFORMS THE MORTGAGE 3 Ways Intelligent Automation Transforms the Mortgage Origination Process. January 4, 2021 / Commercial Banking, Financial Services, Intelligent Process Automation, Use CaseQUICKSTART - INDICO
Subscribe to the Indico newsletter. Subscribe to receive our latest blog posts, content and industry news on Intelligent Process Automation. Once a month we’ll send you an email with our best content to help keep you up to date on everything that’s happening in the world of AI, Intelligent Automation and Machine Learning. EXPLORING COMPUTER VISION (PART II): TRANSFER LEARNING Welcome back to our three part series on computer vision. In the previous post, we discussed convolutional neural networks (CNNs).This post will assume that you have a basic understanding of CNNs; we encourage you to reread the first post if you want a refresher on convolutional networks. FINETUNE QUICKSTART GUIDE Scikit-learn inspired model finetuning for natural language processing. Finetune is a library that allows users to leverage state-of-the-art pretrained NLP models for a wide variety ofdownstream tasks.
AI-POWERED INTELLIGENT PROCESS AUTOMATION FOR UNSTRUCTUREDINDICO INCINDICO MAINEINDICO SEGUROSUN INDICO The industry's first solution for document intake, understanding and digitization that effectively addresses structured, semi-structured, and unstructured documents. Support for scanned and native PDFs, MSWord, CSV and other unstructured content formats. Built-in OCR for scanned content support. Out of the box integrations with majorcontent
DOCUMENTATION
Deep Learning Open Source Libraries. Indico’s open source libraries allow us to give back to the community. For users that are more interested in the academic underpinnings of the work that we do here at Indico our open source repos, Finetune and Enso, give our users a straightforward way to break into deep learning and start playing around a bit closer to the metal than our other offerings.ABOUT - INDICO
Tom Wilde, CEO. Tom brings 25 years of experience in solving the complex problems of digital content to the role of CEO of indico. Prior to joining indico, Tom was the Chief Product Officer at Cxense (see-sense), a leading Data Management provider and founder of Ramp,an
INTELLIGENT PROCESS AUTOMATION Today's enterprises are powered by dozens or hundreds of manual processes and workflows, most often involving documents and text-based information. Critical subject matter experts are bogged down with mundane and repetitive tasks and are unable to focus on new opportunities to drive value for the business. Indico IntelligentProcess Automation
INDICO RAISES $22 MILLION IN SERIES B FUNDING TO EXTEND New investments in leadership team, channel partnerships and product enhancements follow on 300% growth in revenue in 2020. BOSTON, December 14, 2020 – Indico, a provider of enterprise AI solutions for intelligent process automation, today announced an infusion of $22 million of series B funding co-led by Jump Capital and SandboxInsurtech Ventures.
3 WAYS INTELLIGENT AUTOMATION TRANSFORMS THE MORTGAGE A mortgage origination process starts with collecting data from the customer, such as property specifications, W-2s, paystubs and identification (i.e.: passport or driver’s license). For a refinance, you’ll also need real estate bills, insurance forms and more. While most banks these days can collect such data using onlineportals, making
QUICKSTART - INDICO
Step 1: Get Your Free API Key. New users: To create an account and receive your API key, register here. To find your API key click on the dashboard tab on the left. Note: You will be prompted to login again. Returning users: If you already have an account, you can always retrieve your API key and manage your API usage on your indicodashboard.
VISUALIZING WITH T-SNE EXPLORING COMPUTER VISION (PART II): TRANSFER LEARNING This approach increased our accuracy by nearly 7%, bringing us up to 73% accuracy, and putting us in the top 22% of contestants. Clearly, the transfer learning approach was a success. Since inception was trained on a massive dataset and has such a deep architecture, it has the capacity to extract general features about any image it sees. FINETUNE QUICKSTART GUIDE Scikit-learn inspired model finetuning for natural language processing. Finetune is a library that allows users to leverage state-of-the-art pretrained NLP models for a wide variety ofdownstream tasks.
AI-POWERED INTELLIGENT PROCESS AUTOMATION FOR UNSTRUCTURED Whether its a simple contract analytics use case, or a complex multi-step process with scanned documents, images, photographs, and database integrations, Indico IPA models can easily be "chained" together into powerful "pipelines" using our RESTful APIs to solve even the most challenging process.ABOUT - INDICO
Tom Wilde, CEO. Tom brings 25 years of experience in solving the complex problems of digital content to the role of CEO of indico. Prior to joining indico, Tom was the Chief Product Officer at Cxense (see-sense), a leading Data Management provider and founder of Ramp, an enterprise video content management company. VISUALIZING WITH T-SNE This is exactly what we want to do, except instead of using human intuition, we will use the power of machine learning.This style of operation is commonly called nonlinear dimensionality reduction, or manifold leaning.For more information I would recommend reading the Nonlinear Dimensionality Reduction Wikipedia page. In this article, I’m going to focus on one my favorite kinds of embedding INDICO RAISES $22 MILLION IN SERIES B FUNDING TO EXTEND New investments in leadership team, channel partnerships and product enhancements follow on 300% growth in revenue in 2020. BOSTON, December 14, 2020 – Indico, a provider of enterprise AI solutions for intelligent process automation, today announced an infusion of $22 million of series B funding co-led by Jump Capital and SandboxInsurtech Ventures.
CAREERS - INDICO
Join our team at Indico and help define the future of work in the enterprise. View our open positions here. DEEP LEARNING IN FASHION (PART 3): CLOTHING MATCHING In Part 2 of this series, we discussed how e-commerce fashion sites typically make clothing recommendations based on image similarity (here’s a great tutorial on how to do that, by the way).But what if you could also recommend products based on how well they matched with a past purchase? We built a fashion matching demo to show how you can do just that, and I’ll also teach you how to build HOW AUTOMATION EASES THE PAIN OF COMMERCIAL BANK CUSTOMER We’ve written before about how intelligent process automation can be a boon for banks and other financial institutions, but in this post we’re going to take a deeper dive into how it helps in an area that can be particularly complex and expensive for commercial banks: customer onboarding.. For commercial banks, the process of customer onboarding involves no fewer than eight steps REDUCE P&C INSURANCE UNDERWRITING RISK WITH INTELLIGENT Insurance companies have long sought to automate the underwriting processes involved in issuing property and casualty policies, and with good reason: effective underwriting can mean the difference betweenprofit and loss.
HOW INTELLIGENT PROCESS AUTOMATION ENABLES CITIZEN-LED AI A longstanding problem that has plagued artificial intelligence projects, including document process automation, is complexity. Essentially, the issue is there’s a disconnect between the business people who understand the process and the data scientists charged withautomating it.
THE GOOD, BAD, & UGLY OF TENSORFLOW Summary. It takes a fair amount of effort to implement end-to-end workflows in any framework, and TensorFlow is no exception. Some things (queues, certain graph operations, resource allocation/context management, graph visualization) from TensorFlow are all relatively new to the deep learning scene and like many, we’re still learning the best ways to exploit these features.* Use Cases
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ACCELERATE DOCUMENT-BASED WORKFLOWS TO IMPROVE OPERATIONAL EFFICIENCY AND ROILEGAL & COMPLIANCE
* Contract Analytics * Regulatory Compliance * Audit, Planning & ReportingLearn More
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* Customer Support Automation * Customer Onboarding * RFP Composition and AnalysisLearn More
FINANCE & OPERATIONS* Claims Analysis
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IN USE AT LEADING ORGANIZATIONSPrevious
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TURN PROCESS INTO PROFIT85% REDUCTION
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Leverage faster processes to drive customer satisfaction and quicker time to market for new initiatives4X INCREASE
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Free up critical resources to work on higher value-add projects rather than repetitive low-value tasksINDICO IPA
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SMALL DATA FOR BIG INSIGHTS Indico Enterprise AI delivers custom insights for your content from just a handful of examples. PURPOSE-BUILT FOR UNSTRUCTURED CONTENT Combine text, documents and images to automate your businessprocesses.
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ENABLING USERS ACROSS THE ENTERPRISE TO BENEFIT FROM INTELLIGENT PROCESS AUTOMATION (IPA)CIO/CTO/IT
Leverage AI to augment or automate expensive business processes. Help your business stakeholders improve bottom-line results. Extend existing RPA investment to include unstructured content.Learn More
BUSINESS PROCESS OWNER Automate inefficient business processes, leverage unstructured content to improve operational performance.Learn More
DATA SCIENTISTS
Leverage Enterprise AI to help business stakeholders and process owners solve unstuctured content challenges. Quickly prototype and build deep learning models to classify, compare and extract unstructured content assets.Learn More
APPLICATION DEVELOPERS Easily import unstructured content from existing platforms and content stores. Turn unstructured content into structured assets and integrate easily into enterprise platforms.Learn More
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Leverage AI to augment or automate expensive business processes. Help your business stakeholders improve bottom-line results. Extend existing RPA investment to include unstructured content.Learn More
BUSINESS PROCESS OWNER Automate inefficient business processes, leverage unstructured content to improve operational performance.Learn More
DATA SCIENTISTS
Leverage Enterprise AI to help business stakeholders and process owners solve unstuctured content challenges. Quickly prototype and build deep learning models to classify, compare and extract unstructured content assets.Learn More
APPLICATION DEVELOPERS Easily import unstructured content from existing platforms and content stores. Turn unstructured content into structured assets and integrate easily into enterprise platforms.Learn More
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