Real-World, Industry and Adoption focused Market Research and Intelligence on AI.
Document ID: CGBN123 | Last Updated: May 4, 2018 Abstract In the context of Machine Learning (ML) and AI, data scientists are the ones who figure out how to apply ML algorithms and approaches to data to gain the insights necessary to power intelligent applications. As such, data scientists, and an emerging new class of …
In the context of Machine Learning (ML) and AI, data scientists are the ones who figure out how to apply ML algorithms and approaches to data to gain the insights necessary to power intelligent applications. As such, data scientists, and an emerging new class of ML engineers and scientists, need tools that help them access …
Document ID: CGBN124 | Last Updated: May 4, 2018 Abstract AI skills are in short supply. However, companies already have line-of-business analysts and subject matter experts (SMEs) that understand the need to get increasingly more value from the data they have, but lack the technical and data science-specific skills to extract that value. BigML’s mission …
AI skills are in short supply. However, companies already have line-of-business analysts and subject matter experts (SMEs) that understand the need to get increasingly more value from the data they have, but lack the technical and data science-specific skills to extract that value. BigML’s mission is to bring the capabilities of ML to everyone, even …
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Occupational fraud is not a small issue. On average, a company loses 5% of its revenues to employee financial fraud each year, with the annual median loss at $140,000 and over 20% of companies reporting losses of $1 million or more. The key to keeping a lid on this fraud is identifying the fraud before …
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In this latest wave of interest in Artificial Intelligence (AI), much of the attention has gone lately to neural network-based approaches to Machine Learning (ML), and in particular, Deep Learning algorithms. However, there are a number of approaches to ML that have widespread use and also significant amount of research and practical implementation in the …
One of the primary ways in which Machine Learning (ML) has been successfully applied is to the field of image recognition and classification. This is because algorithms such as Deep Learning have drastically simplified the process of identifying objects within an image and appropriately learning from large volumes of data and training. IC Realtime (ICR) …
Document ID: CGBN117| Last Updated: Apr. 7, 2018 Abstract In this latest wave of interest in Artificial Intelligence (AI), much of the attention has gone lately to neural network-based approaches to Machine Learning (ML), and in particular, Deep Learning algorithms. However, there are a number of approaches to ML that have widespread use and also …
Document ID: CGBN116 | Last Updated: Apr. 6, 2018 Abstract One of the primary ways in which Machine Learning (ML) has been successfully applied is to the field of image recognition and classification. This is because algorithms such as Deep Learning have drastically simplified the process of identifying objects within an image and appropriately learning …