In this CIO Summit moment, Synoptek execs talk about how the quest for speed and agility leads most companies it works with to fan out broadly, leading to data spread.
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By leveraging environmental, social, and governance data, healthcare providers can optimize resource use, minimize waste generation, and enhance patient outcomes.
Universal access to healthcare information – including patient records – is still one of the healthcare industry’s biggest pain points. There are important advances taking place, however.
Synthetic data can be incredibly valuable with AI and machine learning but it must be used only when it’s necessary and with caution.
Databricks has rolled out its own AI model intended as a simpler alternative to ChatGPT, with an aim to help customers build chatbots.
With the AI-driven Intelligent Data Management Cloud, Informatica is helping customers optimize data management and drive digital transformation.
Businesses implementing AI models must have an intentional focus on ethical AI, especially at the data and modeling layers, to prevent the impacts of bias.
Wayne Sadin shares takeaways from a recent panel discussion he attended, which covered topics from data management to AI and machine learning bias.
How organizations can balance their expanding use of AI against the need to manage the data governance process — while increasing the value and velocity of data.
Multi-cloud environments come with unique challenges, and analyst Rob Wood provides best practices for reducing security threats through training for employees with access to cloud resources.
The release of the “DC-Check” framework by researchers at UCLA and the University of Cambridge has called attention to the need for standardized AI frameworks.
Kieron Allen explains how the telecom firm Orange is using Dataiku AI tools and how those tools are helping the company attract top data talent.
Learn all the latest in retail innovation from our expert team of practitioner-analysts including how to enhance your strategies with hyperautomation.
Acceleration Economy analyst Tom Smith shares his top session picks for all three days of the upcoming Digital CIO Summit in this discussion with Aaron Back.
By positioning artificial intelligence (AI) as an “everyday,” democratized technology, Dataiku is fueling expanded use cases and digital transformation initiatives.
Wayne Sadin shares why the advent of generative AI puts pressure on organizations to tighten up their data and security strategies to avoid bias and protect sensitive data.
Insights from data-driven teams include application telemetry and debugging logs, which can be invaluable from a security standpoint.
With the rise of generative AI, companies with weak data exfiltration controls are at even more risk of inadvertent disclosure of data, explains Wayne Sadin.
AI accuracy depends on the quality of the data it is fed. Toni Witt explores ways that datasets can be cleaned, or even generated, to make AI better.
Kieron Allen explains how ChatGPT and OpenAI have onboarded 1,000 contractors for data labeling, which is a fast-growing role in the AI/ML space.