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What are the Benefits of Data Annotation?

Smart Data Collective

Machine learning and artificial intelligence (AI) have certainly come a long way in recent times. Towards Data Science published an article on some of the biggest developments in machine learning over the past century. A number of new applications are making machine learning technology more robust than ever.

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Using Data Annotations for Quality Control Purposes

Smart Data Collective

Data annotation helps the developers check each field after entering data into a database or creating a form. Data Annotation converts data from code to presentation format. Some companies specializing in services for data annotation can help you increase your productivity and efficiency. . Why is Data Annotation Important?

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How AI Can Improve Your Annotation Quality?

Smart Data Collective

We have mentioned that advances in Artificial intelligence have significantly changed the quality of images recently. One development that AI has led to is the growth of image annotation. Image annotation is the act of labeling images for AI and machine learning models. Below are a few of them.

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Data Labeling Improves Machine Learning & AI Efficiency

Smart Data Collective

Taking the world by storm, artificial intelligence and machine learning software are changing the landscape in many fields. Earlier today, one analysis found that the market size for deep learning was worth $51 billion in 2022 and it will grow to be worth $1.7 Amazon has a very good overview if you want to learn more.

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How technology is reshaping the college student experience

CIO

Over 75% are thriving and believe their tuition paid is a worthwhile investment, proving a clear link between student satisfaction in higher learning and technology. A McKinsey report found that students and faculty are eager to continue using new learning technologies, but institutions could do more to support the shift.

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Equinix goes partner prospecting with AI

CIO

Multinational data infrastructure company Equinix has been capitalizing on machine learning (ML) since 2018, thanks to an initiative that uses ML probabilistic modeling to predict prospective customers’ likelihood of buying Equinix offerings — a program that has contributed millions of dollars in revenue since its inception.

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Preparing the foundations for Generative AI

CIO

Data also needs to be sorted, annotated and labelled in order to meet the requirements of generative AI. This requires skillsets that firms may not have in-house. To find out more about preparing for generative AI and the next steps on your journey, visit: Government & Public Services | Avanade.