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Guided Labeling Episode 5: Blending Knowledge with Weak Supervision

Click to learn more about author Paolo Tamagnini. Welcome to the fifth episode of our Guided Labeling Blog Series.In the last four episodes, we introduced Active Learning and a practical example with body mass index data, which shows how to perform active learning sampling via the technique “exploration vs exploitation”. This technique employs label density and model uncertainty […]

Automation and AI: Challenges and Opportunities

Businesses across the globe are fascinated with the idea of AI and automation because this advanced technology promises operational efficiency, enhanced processes, and substantial cost savings. However, AI and its allied technologies have also created uncertainties, confusion, and doubts about the human capability for adopting, deploying, and executing these magical systems in actual business situations […]

Deep Learning Updates: Machine Learning, Deep Reinforcement Learning, and Limitations

In recent years, some astonishing technological breakthroughs in the field artificial intelligence (AI) and its sub-field deep learning have begun to train machines to behave like humans. As machines are increasingly emulating complex cognitive functions such as deductive reasoning, inferences, and informed decision-making, robots functioning as humans are a reality in many industry practices today. […]

Data Architecture and Artificial Intelligence: How Do They Work Together?

Artificial intelligence (AI) is rapidly gaining ground as core business competency. Today’s machine learning (ML) or deep learning (DL) algorithms promise to revolutionize business models and processes, restructure workforces, and transform data infrastructures to enhance process efficiency and improve decision-making throughout the enterprise. Gone are the days of data silos and manual algorithms. However, widespread […]

Why Reputation Is Hindering AI and Automation Adoption

Click to learn more about author Tom Allen. The increasing penetration of technological advancements and artificial intelligence (AI) are being adopted by organizations with diverse services and operations to leverage on the utility of the same. The rapid and inevitable metamorphosis to adopt automation is springing amidst the pandemic. However, opinions are differently carved addressing […]