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What is the scope of ML and Ai in the next 10 years
admin
May 02, 2022

What is the scope of ML and Ai in the next 10 years

Many companies and the marketing teams that support them are rapidly adopting intelligent technology solutions to encourage operational efficiency while improving the customer experience. Through these platforms, marketers are able to gain a more nuanced, comprehensive understanding of their target audiences. Data labeler provides quality training data for ML & AI. The insights gathered through […]

AI Applications In Marketing
admin
April 26, 2022

AI Applications In Marketing

Artificial Intelligence must be perceived as a tool to drive marketing initiatives of achieving goals with a higher degree of precision. AI will inevitably help marketers combine advanced technology and human creativity to read, understand, and engage with modern consumers at the individual level with hyper-personalized, relevant, and timely communications. Data scientists may not understand […]

Why AI-assisted content moderation will never be able to take the position of human moderators
admin
April 19, 2022

Why AI-assisted content moderation will never be able to take the position of human moderators

Automation in content moderation is a broad concept. In certain aspects, AI content moderation systems use very little intelligence. AI in content moderation can refer to the use of a variety of automated approaches at various phases of content moderation. These techniques might range from simple keyword filters to machine learning and a wide range of tools and methodologies. […]

Quality Assurance in Machine Learning: A Guide to Data Labeling
admin
April 14, 2022

Quality Assurance in Machine Learning: A Guide to Data Labeling

Machine learning is one of the most interesting new development in the field of technology. Most importantly machine learning and artificial intelligence systems train themselves on their own. The performance of a machine learning model is dependent on the quality of the training data. The consistency and correctness of labeled data in machine learning are used to assess […]