Analysis Annotation Research 
Smart Data Collective
JUNE 22, 2023
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 Simply put, data labeling involves annotating data to instruct a model on how to do the same. Tools for labeling data (also known as data annotation ) using AI offer a formal framework for annotation.
CIO
JUNE 3, 2024
Research from the University of Tennessee (UT) suggests the strongest alliances in business focus on finding collaborative solutions specifically tailored to the needs of each partnership. But when respective parties get the formula right, great value can be created far beyond what any one company can do alone. What’s the differentiator?
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CIO
AUGUST 1, 2022
To overcome these challenges, Aster Innovation and Research Centre, the innovation hub of Aster DM Healthcare, has deployed its Secure Federated Learning Platform (SFLP) that securely and rapidly enables access to anonymised and structured health data for research and collaboration. Annotation was already in our PACS system.
CIO
NOVEMBER 28, 2023
While industry research estimates that as much as 90% of enterprise data is unstructured, 61% of IT leaders say managing unstructured data is a problem for their organization, with another 24% not even including unstructured data on their data and analytics short list, according to research from Foundry. Quality is job one.
CIO
AUGUST 24, 2023
As part of that work, Bala and his team of data scientists undertook extensive analysis of internal and third-party data to identify data sets critical for developing an effective partner prioritization data science strategy. “We
mention
AUGUST 7, 2024
Secondary market research involves utilizing preexisting data and insights gathered from various sources in the past. Unlike primary research, which gathers new and original data through surveys or experiments, secondary research relies on already available information. But why is it so important, exactly?
Smart Data Collective
AUGUST 11, 2022
Research conducted by the Harvard Business Review found that the interaction between machines and humans significantly improves firms’ performance. Artificial intelligence has the potential to combat human error by taking up the tasking responsibilities associated with the analysis, drilling, and dissection of large volumes of data.
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