| | | ETHICS AND BIAS IN ARTIFICIAL INTELLIGENCE WHAT DO YOU NEED TO KNOW | | Examples of AI gone wrong are increasingly making the headlines. An algorithm used by the criminal justice system to predict which offenders were most likely to become repeat offenders discriminated against people of color. A major corporations AI-powered CEO search showed bias against wom... | | |
| | | MEET THE SENSEIS WEBINAR SERIES: GOING ACCOUNT-BASED | | Join Dave Taylor, CMO, at Impartner as he discusses how to take an account-based approach that drives higher conversions, resulting in larger deals and increased deal velocity. In this session, you’ll learn how to leverage AI-driven analytics to rapidly uncover new demand, prioritize... | | |
| | | SUPERCHARGING ENTERPRISES ASSEST MANAGEMENT WITH IOT AND AI
| | Who doesn’t want to make prudent decisions when it comes to Enterprise Assets Management (EAM) investments? Today, the rapid changing era calls for supercharging your asset performance to balance efficiency and innovation. Thanks to IoT and AI, which are taking enterprise asset manag... | | |
| | | LEVERAGING AI TO EMPOWER BUSINESS USERS WITH
SUPPLY CHAIN VISIBILITY | | In today’s digital world, organizations rely on machine intelligence to read System logs, Server logs, Database logs, and Application logs to improve quality. Our AI Powered Monitor Pro, offers IT specialist with detailed reporting capabilities to track and monitor incoming and outgo... | | |
| | | WHY MACHINE LEARNING AND ARTIFICIAL INTELLIGENCE NEED DATA GOVERNANCE | | There is no single factor that determines whether you’ll succeed with machine learning and AI. But one thing is for sure: You’re not going to achieve the trustworthy results without trustworthy data. That’s why the right data governance strategy is so essential. With a co... | | |
| | | AI VS. AI: THE GOOD, THE BAD AND THE UGLY | | The broad discipline of creating intelligent machines that can perform tasks characteristic of human intelligence such as planning, recognizing objects and sounds, and problem solving. AI is usually interchangeable with machine learning. | | |