Informatica Announces Collaboration with The ADAPT Research Centre in Dublin to Accelerate AI Research and Development

Informatica Announces Collaboration with The ADAPT Research Centre in Dublin to Accelerate AI Research and Development

Informatica, the enterprise cloud data management leader, announced that it has launched a collaborative technology initiative with The ADAPT Centre, a world-leading Science Foundation Ireland (SFI) Research Centre for Digital Media Technology.

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The ADAPT Centre, funded by SFI, focuses on developing next-generation digital technologies that transform how people communicate by helping to analyze, personalize and deliver digital data more effectively for businesses and individuals. Informatica’s R&D team collaborate with ADAPT to leverage its leading-edge applied research in Artificial Intelligence (AI) and Natural Language Processing (NLP) to further accelerate the application of AI and Machine Learning (ML) to automate Informatica’s portfolio of enterprise cloud data management offerings.

Organisations are increasingly leveraging extremely large data sets to inform business decisions but have a range of obligations under regulations like The General Data Protection Regulation (GDPR) and the more recently enacted California Consumer Privacy Act (CCPA), making data management even more complex. Informatica’s engineers have already developed many AI and ML capabilities as part of the Informatica CLAIRE engine to help customers use data effectively for their analytics, data governance and privacy, and customer experience (CX) needs. By leveraging ADAPT’s experience in AI and NLP, Informatica will continue to innovate across its entire product portfolio. For example, consumer comments and product ratings can be mined to understand consumer sentiment and intent to enrich a company’s 360 view of their customers, thereby improving customer engagement. New and revised regulations can be parsed to automatically create and update data governance policies. Classifying and cataloging more data ranging from doctors’ notes in healthcare to product defect images in manufacturing will give data scientists and analysts access to massively more data for analytics projects related to improving patient outcomes and product quality.

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