ML/AI and Data analytics are part of the day-to-day today. And many have taken this seriously and invested in Machine Learning Operations (MLOps). Mostly by introducing practices and tools/software (e.g. MLFlow, Kubeflow, AWS Sagemaker etc) that aim to operationalize the development, deployment, and management of machine learning models. Data is...
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7 ways AI helps fight Coronavirus (2019-nCoV)
Since the outbreak of the Coronavirus, it was interesting to observe how has the role of technology has changed and equipped us to fight the pandemic. In this article, I want to focus on the role of Artificial Intelligence (AI) and how it enabled us to approach the situation differently...
Continue reading...What 200+ AI use cases of Insurance companies can tell us?
We hear companies announcing success in the adoption of Artificial Intelligence (AI). I took a closer look at the Insurance industry, in particular, to understand what does AI means for them. Upon analysis of over 200+ AI use cases applicable to Insurance companies (all publically available) happy to share some...
Continue reading...Making sense out of Quantum Computing
Quantum Computing (QC) attracting media attention. Google and IBM are claiming success in overcoming technological constrains and getting closer to the functioning prototypes. Gartner research suggests that through 2023, 20% of the organizations would have some budget allocations (directly or indirectly) hitting Quantum Computing projects. So, what is it, how...
Continue reading...AI-powered customer engagement
Augmenting Command Control & Call Centers architecture with Natural Language Processing (“NLP”) capability as the first step to AI-powered platform A functional view of modern engagement center powered by AI (Natural Language Processing (“NLP”) in particular). NLP is often the first step to the AI-powered platform.
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