UiPath Briefing Note (CGBN119)

Traditional RPA technologies can be fairly sophisticated, but at the end of the day are meant to mimic a human operator’s actions. Even though traditional RPA robots are “trained” by recording the user, they aren’t particularly intelligent. Machine learning and AI helps deal with these situations by using natural language processing, intelligent flow control, and …

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NICE Ltd. Briefing Note (CGBN114)

As organizations look to automate an increasing variety of business-related tasks and processes, we see an emerging new class of automated “machine”: Robotic Process Automation (RPA) technologies. While RPA is making significant improvements into company’s operations by replacing rote human activity with automated tasks, Artificial Intelligence (AI) is poised to give this new engine a …

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UiPath Briefing Note

Document ID: CGBN119 | Last Updated: Feb. 16, 2018 Abstract Traditional RPA technologies can be fairly sophisticated, but at the end of the day are meant to mimic a human operator’s actions. Even though traditional RPA robots are “trained” by recording the user, they aren’t particularly intelligent. Machine learning and AI helps deal with these …

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Clarifai Briefing Note (CGBN112)

Computers acquire images through various sensors that turn light and objects into binary data, but computers can’t understand what that data means. For a long time, this didn’t really matter because a computer would just store those images for later consumption by human. However, mere capture of images is no longer sufficient. In order to …

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NICE Ltd. Briefing Note

Document ID: CGBN114 | Last Updated: Feb. 12, 2018 Abstract As organizations look to automate an increasing variety of business-related tasks and processes, we see an emerging new class of automated “machine”: Robotic Process Automation (RPA) technologies. While RPA is making significant improvements into company’s operations by replacing rote human activity with automated tasks, Artificial …

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Clarifai Briefing Note

Document ID: CGBN112 | Last Updated: Feb. 7, 2018 Abstract Computers acquire images through various sensors that turn light and objects into binary data, but computers can’t understand what that data means. For a long time, this didn’t really matter because a computer would just store those images for later consumption by human. However, mere …

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Intelligent Process Automation Market Report 2018 [CG014]

Robotic Process Automation (RPA)  is making significant improvements into company’s operations by replacing rote human activity with automated tasks. Artificial Intelligence (AI) is poised to give this new engine of productivity a gigantic boost. Systems that leverage machine learning (ML) to dynamically adapt to new information and data will shift these systems from mere robots …

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Afiniti Briefing Note [CGBN108]

Humans excel in communicating with and developing relationships with other humans. Until we figure out the secret sauce behind emotion, consciousness, and common sense, AI systems will never be able to rival the inherent emotional intelligence of humans. So, instead of using bots and automated systems to replace humans in environments where relationships, conversations, dialogue, …

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Kyndi Briefing Note [CGBN107]

Right now, too much of what AI systems do are a “black box”. We have little visibility into how decisions are being made, conclusions drawn, objects identified, and more. An emerging area of AI called Explainable AI (XAI) aims to address the black-box decision making of AI systems and provide a way to inspect and …

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simMachines Briefing Note [CGBN106]

The more we involve AI in our daily lives, the more we need to be able to trust the decisions that autonomous systems make. However, it’s becoming harder and harder to understand how these systems arrive at their decisions. Cognilytica believes that Explainable AI (XAI) is an absolutely necessary part of making AI work practically …

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