Tag: ai/ml

Out of necessity, the life sciences industry has accelerated the innovation and experimentation of drug and device development. The sector, which has traditionally been slow-moving when it comes to clinical trials—for reasons ranging from regulatory, to trial recruitment, to quality control—is now looking towards cloud technology to speed up the process and find new innovative …

Read more “Data: the Rx to faster, patient-centric clinical trials”

Operational Security: Enabling transparency, collaboration, and privacy (Palantir RFx Blog Series, #5) Organizations should look beyond traditional functional security requirements to identify security features that enable transparency and collaboration, rather than hamper them. Editor’s note: This is the fifth post in the Palantir RFx Blog Series, which explores how organizations can better craft RFIs and RFPs to …

Read more “Operational Security: Enabling transparency, collaboration, and privacy (Palantir RFx Blog Series…”

IBM invests in our partner ecosystem because we want to ensure that partners like you have the resources to build your business and develop software for your customers using IBM’s industry-defining hybrid cloud and AI platform. Together, we build and sell powerful solutions that elevate our clients’ businesses through digital transformation. To that end, IBM …

Read more “Accelerating partner innovation through Digital Self-Serve Co-Create Experience with IBM”

Globally, there has been an accelerated shift toward frictionless digital user experiences. Whether it’s registering at a website, transacting online, or simply logging in to your bank account, organizations are actively trying to reduce the friction their customers experience while at the same time enhance their security, compliance, and fraud prevention measures. The shift toward …

Read more “Metrics for evaluating an identity verification solution”

Hello! ¡Hola! 你好! नमस्ते! Bonjour! Being greeted in your own language can instantly put a smile on your face, and organizations around the world recognize that messages become more inclusive and powerful when translated into many languages.  As the Head of Product Management for Translation AI at Google Cloud, I am always looking to make …

Read more “A closer look at Translation Hub: Enterprise translation made easy”

For every minute that a stroke is left untreated, the average patient loses nearly 2 million neurons. This means that for each hour in which treatment fails to occur, the brain loses as many neurons as it does in more than three and a half years of normal aging. With one of the world’s first …

Read more “AI at the Point of Care: Startup’s Portable Scanner Diagnoses Brain Stroke in Minutes”

The Palantir Foundry Ontology enables organizations to withstand crisis — from war in Ukraine, an energy crisis in Europe, inflation, to rising tensions in the Pacific. In the last few years alone, the Ontology has powered: Support for refugee relief across Europe amid the war in Ukraine Evacuating 15,000 Afghan refugees on 24 hours’ notice Elective waiting list management for Chelsea …

Read more “The Ontology: Resilience in Crisis”

by Jasmine Omeke, Obi-Ike Nwoke, Olek Gorajek Intro This post is for all data practitioners, who are interested in learning about bootstrapping, standardization and automation of batch data pipelines at Netflix. You may remember Dataflow from the post we wrote last year titled Data pipeline asset management with Dataflow. That article was a deep dive into one …

Read more “Ready-to-go sample data pipelines with Dataflow”

“Intelligent document processing (IDP) solutions extract data to support automation of high-volume, repetitive document processing tasks and for analysis and insight. IDP uses natural language technologies and computer vision to extract data from structured and unstructured content, especially from documents, to support automation and augmentation.”  – Gartner The goal of Amazon’s intelligent document processing (IDP) …

Read more “Introducing one-step classification and entity recognition with Amazon Comprehend for intelligent document processing”

Typically, data scientists retrain models at regular intervals to keep them fresh and relevant. This practice may turn out to be costly if the model is trained too often or inefficient if the model training isn’t frequent enough to serve the business. Ideally, data scientists prefer to continuously evaluate the models and  intentionally retrain models …

Read more “Improving model quality at scale with Vertex AI Model Evaluation”