Introduction: According to Gartner, 85 percent of all Artificial Intelligence (AI) projects tend to fail and the trend is expected to run well through 2022. What are the key reasons for this high failure rate in AI projects? There are three key ones: Model deployment is not an easy tasks; it requires diverse expertise from […]
Traditional Black Box AI systems automate decision making and offer limited visibility into how the algorithms work. In a time, when transparency is everything, can we really trust artificial intelligence systems? In this article, we explore the concept of AI Bias and the role of Explainable AI in eliminating AI Bias and increasing model transparency […]
Consumer behavior is constantly evolving. The COVID-19 pandemic has changed the way people live, work, and interact with brands. The challenges brought on by lockdowns and restrictions on movement in public have increased our dependence on online services and accelerated the shift to remote work. With this increased digitization, the need for data, speed, security, […]
At a time when businesses are looking at adopting Artificial Intelligence (AI) not just for competitive advantage but even for mere survival, it is increasingly challenging to build a successful AI practice with acute skills shortage for data scientists. On the other hand, Machine Learning (ML), which is built for its application involving laborious tasks […]
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