The Real Reason Sales and Marketing Teams Use AI

| August 22, 2019

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Did you know that only one percent of cold calls even lead to an appointment, according to a popularly cited study by Baylor University's Keller Center for Research? The problem with cold calling is that it lacks a personal touch. Most of the time, the sales rep doesn’t offer anything the customer wants, because they don’t know what they want.

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OTHER ARTICLES

The Nuts and Bolts of Deep Learning Algorithms for Object Detection

Article | August 14, 2020

You just got a new drone and you want it to be super smart! Maybe it should detect whether workers are properly wearing their helmets or how big the cracks on a factory rooftop are. In this blog post, we’ll look at the basic methods of object detection (Exhaustive Search, R-CNN, Fast R-CNN and Faster R-CNN) and try to understand the technical details of each model. The best part? We’ll do all of this without any formula, allowing readers with all levels of experience to follow along! Finally, we will follow this post with a second one, where we will take a deeper dive into Single Shot Detector (SSD) networks and see how this can be deployed… on a drone.

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DeepMind Uses AI to Help Fight COVID-19

Article | March 15, 2020

The world is facing a global public health crisis due to the COVID-19 pandemic caused by the novel coronavirus named SARS-CoV-2. This is a new pathogen, and scientists around the world are researching the SARS-CoV-2 coronavirus in order to develop therapeutics to treat, cure or prevent the COVID-19 disease. In early March, artificial intelligence (AI) developer DeepMind announced the use of its AlphaFold deep learning system to predict protein structures associated with the COVID-19 disease in efforts to help scientists understand how to fight the SARS-CoV-2 coronavirus.

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Create a Bulletproof IoT Device That Thrives in A Competitive Environment

Article | August 12, 2020

If you think the conventional way of designing and testing an Internet of Things (IoT) device is still relevant today, you might be wrong. Tens of billions of IoT devices surround us today. Billions more will connect to the internet in the next few years. On top of that, IoT deployment is diversifying from consumer-based to mission-critical applications in the areas of public safety, emergency response, industrial automation, autonomous vehicles, and healthcare IoT. While IoT devices offer great convenience, having large numbers of them in a small space increases complexity in device design, test, performance, and security.

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UNSUPERVISED MACHINE LEARNING TO IMPROVE DATA QUALITY

Article | August 3, 2020

When preparing data, I often go through many different approaches to reach a level of quality of data that can provide accurate results. In this article, I describe how unsupervised ML can help in data preparation for machine learning projects and how it helps to get more accurate business insights.What’s Wrong with Traditional Data Preparation Approaches?For accurate predictions, the data must not only be properly labeled, de-deputed, broad, consistent, etc. The point is that the machine learning model should process the “right” data. It is not entirely clear what are the criteria of the “right” data.

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Recorded Future arms security teams with the only complete threat intelligence solution powered by patented machine learning to lower cyber risk. Our technology automatically collects and analyzes information from an unrivaled breadth of sources and provides invaluable context in real time and packaged for human analysis or integration with security technologies.

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