What Is Cyber Threat Intelligence? Definition, Objectives, Challenges, and Best Practices
Cyber threat intelligence is defined as cyber threat data classified based on reliability which is rigorously analyzed by cybersecurity experts using structu…
Cyber threat intelligence is defined as cyber threat data classified based on reliability which is rigorously analyzed by cybersecurity experts using structu…
Dr. Patrick Hutchings, head of AI at Aimi, discusses how creative-tech startups can use AI as a tool instead of allowing it to replace human creativity.
Wouldnt it be nice to plan for your supply chain as thoroughly as Amazon.com does? In this article, Rob Whelan, practice director, data and analytics, at 2nd Watch, talks about how with Amazon Forecast, you can precisely plan for your supply chain. In part one of this two-part article, Rob Whelan provides an overview of the Amazon Forecast service and how to get started. Part two of the article will focus on best practices for using Amazon Forecast.
Accelerated analytics play a crucial role in executing and evaluating large-scale infrastructure and inflation initiatives, says Ray Falcione of HEAVY.AI.
Artificial intelligence and machine learning algorithms are ever-present in the Internet age. However, the way it works is not common knowledge. What is the meaning of machine learning, and what is the path forward for AI in the future? Read this article to learn more.
With the demand for data scientists growing by the hour, here are some technical and non-technical skills that you should learn to become a successful freelance data scientist in 2021.
Considering the progress artificial intelligence has made today, its no surprise that a lot of IT professionals are choosing AI as their career. Lets take a look at the certifications and skills required for a successful AI career.
If you want to harness the full potential of AI/ML for cybersecurity, due diligence is required. Understanding your needs and asking the right questions up …
Erik Vogt, VP of enterprise solutions at Appen, highlights common things your AI training data might be missing and ways to improve it.