ISPE Gathers Global Aseptic Leaders to Discuss Trends, Innovations, and COVID-19 Impact
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ISPE announced its 2021 ISPE Aseptic Conference, taking place virtually on 15–17 March 2021. Now in its 30th year, this signature event has established itself as the pharmaceutical industry s leading source on advancing aseptic and barrier operations and providing invaluable opportunities for peer-to-peer learning through interactions with industry and regulatory leaders.
Sterile dosage forms will overtake all other dosage forms in the next few years in terms of value, and the conversations that take place during the ISPE Aseptic Conference are really where the shape of the pharmaceutical industry forms.
22 December 2020 14:17 GMT
ThetaRay, a leading provider of AI-based Big Data analytics, today announced that its Anti-Money Laundering (AML) for Correspondent Banking solution has been chosen by Spanish wholesale bank Cecabank. The AI-based technology will enable Cecabank to analyze SWIFT traffic, risk indicators and client/payer/payee data to detect anomalies indicating money laundering or terrorism financing schemes in correspondent banking transactions.
ThetaRay s solution is the first and only AI-based technology that detects criminal schemes across complex, cross-border transaction paths by extracting SWIFT and KYC data to aggregate a Full Transaction Path view. It is based on a proprietary type of machine learning called artificial intuition that can mimic human intuition and gut feelings.
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NEW YORK, Dec. 17, 2020 /PRNewswire/ ThetaRay, a leading provider of AI-based Big Data analytics, today announced that its Anti-Money Laundering (AML) for Correspondent Banking solution has been chosen by Spanish wholesale bank Cecabank. The AI-based technology will enable Cecabank to analyze SWIFT traffic, risk indicators and client/payer/payee data to detect anomalies indicating money laundering or terrorism financing schemes in correspondent banking transactions.
ThetaRay s solution is the first and only AI-based technology that detects criminal schemes across complex, cross-border transaction paths by extracting SWIFT and KYC data to aggregate a Full Transaction Path view. It is based on a proprietary type of machine learning called artificial intuition that can mimic human intuition and gut feelings.