Collier, Michael WMichael W. Collier, ``Academic Researchers versus Intelligence Analysts: Where Theory and Practice Collide,'' paper prepared for the annual meeting of the International Studies Association, New Orleans, LA, 17-20 February 2010, p. 8....
Rogue AI or Jedi Ally: On the Impact of Artificial Intelligence on Enterprise SecurityRead more Perspectives by Splunk Perspectives Home July 31, 2023 • 5 minute read Top 3 Strategies for Tech Leaders To Thrive in the AI Revolution AI is changing the workplace. Your leadership strategy sh...
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It is one of the most important skills for an intelligence officer to develop. Analysts and operatives must hone the ability to test assumptions and do the uncomfortable and often time-consuming work of rigorously evaluating one’s own biases when analyzing events. They must also examine the bias...
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Note: I have included a link to the original Talk (presentation or video) wherever I could find them, so do check them out. A Vision for Shared, Central Intelligence to Ebb a Growing Flood of Alerts Dan Plastina, who heads Threat Protection at Microsoft, gave a talk on striking a bala...
Close on the heels of being the Goddess of War and Wisdom, Athena is often the patron of heroes and warriors and favors those who use their wits, cunning and intelligence over any brute force or muscling one’s way through a conflict. ...
Artificial Intelligence (AI), new thinking styles such as Design Thinking, Evidence-based decisions supported by deep-dive Data Analytics as well as a deluge of demographic, ethics and loyalty impacts. As HR professionals, the worse thing we can do is bury our heads in the sand and fall prey...
As the strategy behind a company’s data use, analytics can change as the brand matures. This is especially true in today’s digital world, where data processing happens faster than ever. For example, artificial intelligence (AI) and machine learning (ML) provide valuable insights in real time...
Also:What is AI? Everything to know about artificial intelligence And yes, AI and machine learning also figure into edge and IoT initiatives. This is driven by demand for "more intelligent and autonomous systems capable of making decisions in real-time, directly at the point of data collection...