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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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How AI Can Improve Your Annotation Quality?

Smart Data Collective

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. It involves human annotators using a tool to label images or tag relevant information. The resulting structured data is then used to train a machine learning algorithm.

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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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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 Aster DM Healthcare used federated learning to better secure AI analysis of sensitive data

CIO

Genomic data alone is predicted to be 2 to 40 exabytes by 2025, eclipsing the amount of data acquired by all other technological platforms,” it says. In a distributed learning setup, data from different hospitals must be brought together to create a centralised data repository for model training, raising lot of concerns on data privacy.

Learning 368
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How guardrails allow enterprises to deploy safe, effective AI

CIO

It’s very easy for computer scientists to just look at the cool things a technology can do,” says Beena Ammanath, executive director of the Global AI Institute at Deloitte. They should spend five or 10% of their time to proactively list ways the technology can be misused.” We’re not married to any particular technology,” says Rahman.

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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.