Remove AI Strategy Remove Data Integration Remove Explainability
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Aditya K Sood, VP of Security Engineering and AI Strategy, Aryaka – Interview Series

Unite.AI

is the VP of Security Engineering and AI Strategy at Aryaka. Dr. Sood is interested in Artificial Intelligence (AI), cloud security, malware automation and analysis, application security, and secure software design. Security and data integrity further complicate AI deployments. Aditya K Sood (Ph.D)

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Achieve competitive advantage in precision medicine with IBM and Amazon Omics

IBM Journey to AI blog

Processing terabytes or even petabytes of increasing complex omics data generated by NGS platforms has necessitated development of omics informatics. gene expression; microbiome data) and any tabular data (e.g., clinical) using a range of machine learning models.

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Pascal Bornet, Author of IRREPLACEABLE & Intelligent Automation – Interview Series

Unite.AI

For organizations to ensure that AI augments rather than replaces human workers, they need to take a human-centric approach to AI implementation. This means putting people at the heart of their AI strategies and focusing on how the technology can empower and enhance human capabilities. One key aspect is job design.

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Erik Schwartz, Chief AI Officer (CAIO) Tricon Infotech – Interview Series

Unite.AI

His work, most recently on the Scopus AI project at Elsevier, underscores his commitment to redefining the boundaries of how we engage with information and create a trusted relationship with users. How have your experiences at companies like Comcast, Elsevier, and Microsoft influenced your approach to integrating AI and search technologies?

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Integrated Healthcare Means Integrated Data

DataRobot Blog

Integrated healthcare” has become a bit of a buzzword as of late, but no one has settled on just one definition for the term. A 2016 paper that sought to explain integrated care , laid out four different definitions and five different conceptual frameworks. But visibility alone is not innovative enough. grows louder.

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AI in 2025: Five Defining Themes

Flipboard

Knowledge graph technology has been around for 40 years and is now seeing a revival because it can overcome key LLM challenges, such as understanding complex formats, hierarchy, and relationships between business data. The next step in this journey will be large graph models, allowing further advancement in generative AI.

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Syngenta develops a generative AI assistant to support sales representatives using Amazon Bedrock Agents

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By integrating multiple data sources and explainable research results, including weather patterns and soil data, the agent delivers personalized and context-aware recommendations. Laksh Puri is a Generative AI Strategist at the AWS Generative AI Innovation Center, based in London.