In this contributed article, Laurence Hamilton, Chief Commercical Officer, Consilient, discusses the next generation federated learning solution for financial crime detection. Such a solution will help enable banks and other financial institutions to detect high-risk entities and behaviors by sharing insights across different data environments and organizations.
Money Laundering Finally Meets Its Match – Federated Learning Will Change the Game
July 4, 2023 by Leave a Comment
Analysis of 145 Generative AI Startups IDs Opportunities to Remedy Pain Points in Healthcare and Life Sciences
July 3, 2023 by Leave a Comment
Generative AI technology could deliver industry-changing improvements in healthcare delivery and life sciences productivity, efficiency and patient outcomes and presents a massive untapped opportunity for entrepreneurs and investors, according to a new market analysis by Justin Norden of GSR Ventures, Jon Wang, and Ambar Bhattacharyya of Maverick Ventures.
The Problem with ‘Dirty Data’ — How Data Quality Can Impact Life Science AI Adoption
June 15, 2023 by Leave a Comment
Jason Smith, Chief Technology Officer, AI & Analytics at Within3, highlights how many life science data sets contain unclean, unstructured, or highly-regulated data that reduces the effectiveness of AI models. Life science companies must first clean and harmonize their data for effective AI adoption.
How NLP Can Provide Deeper, Actionable Data Insights for All Healthcare Stakeholders
June 13, 2023 by Leave a Comment
In this contributed article, Anoop Sarkar, PhD, Chief Technology Officer, emtelligent, discusses how providing clinicians with the most accurate and relevant information about a patient at the point of care requires a collaboration between AI-powered medical NLP and clinicians with deep medical knowledge. These collaborations will fulfill the promise of medical NLP.
USGIF Releases New White Paper: The Evolving Role of Synthetic Data in GEOINT Tradecraft
June 9, 2023 by Leave a Comment
Recent advancements in AI have created many opportunities in the GEOINT field, not only by improving imagery analysis techniques, but also by creating synthetic training data for AI algorithms to work more efficiently and accurately. Prior to the innovation of synthetic training data, human inputs would be needed for training AI algorithms.
How Synthetic Data can be Created and Utilized for a Wide Range of Use Cases in Healthcare
June 9, 2023 by Leave a Comment
In this contributed article, Jonah Leshin, Head of Privacy Research at Datavant, discusses how we have seen a rapid increase in the digitization and standardization of health data. With this groundwork laid, more recently, there have been concerted efforts to connect siloed health data sources in support of more impactful use cases. Synthetic data serves as a powerful complementary tool for the analyses that these use cases require, bringing us closer to maximizing data utility within the healthcare ecosystem.
The Importance of Data Quality in Benefits
June 6, 2023 by Leave a Comment
In this contributed article, Peter Nagel, VP of Engineering at Noyo, addresses the benefits/insurance industry’s roadblocks and opportunities — and why some of the most interesting data innovations will soon be happening in benefits.
AI Empowers Microfinance: Revolutionizing Fraud Detection
June 1, 2023 by Leave a Comment
In this sponsored article, Dmitry Dolgorukov, CRO and Co-Founder of HES FinTech, suggesets that to effectively combat fraud, microfinance institutions must establish robust fraud detection systems. Early detection and prevention of fraudulent activities are vital in minimizing financial impact and safeguarding the funds of vulnerable customers. Microfinance institutions face a significant menace in the form of fraudulent activities, endangering their provision of financial services to underserved communities. Fraud not only leads to substantial financial losses but also erodes trust in the system, impeding the mission of microfinance institutions to foster inclusive growth and alleviate poverty.
UVA Researchers Built an AI Algorithm That Understands Physics
May 29, 2023 by Leave a Comment
Normally, when testing the behavior of materials under high heat or explosive conditions, researchers have to run simulation after simulation, a data-intensive process that can take days even on a supercomputer. However, with a deep learning algorithm created by Stephen Baek, Phong Nguyen and their research team, the process takes less than a second on a laptop.
Top Data Science Ph.D. Dissertations (2019-2020)
May 10, 2023 by 2 Comments
The American Mathematical Society (AMS) recently published in its Notices monthly journal a long list of all the doctoral degrees conferred from July 1, 2019 to June 30, 2020 for mathematics and statistics. The degrees come from 242 departments in 186 universities in the U.S. I enjoy keeping a pulse on the research realm for my field, so I went through the entire published list and picked out 48 dissertations that have high relevance to data science, machine learning, AI and deep learning. The list below is organized alphabetically by state.
