Synthetic data can be incredibly valuable with AI and machine learning but it must be used only when it’s necessary and with caution.
Search Results: AI/ML (80)
In a one-on-one interview with Bob Evans, Workday CEO Aneel Bhusri explains why CEOs are optimistic, details the AI/ML “boom,” and elaborates on his next role.
Ronak Mathur describe en este artículo la importancia de desarrollar soluciones de inteligencia artificial con estándares éticos.
Workday has mapped out 38 “future of work” use cases that leverage artificial intelligence (AI) and machine learning (ML) technologies. Bob Evans reviews the use cases.
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.
As AI progresses, concerns about ethics and standards increase. Ronak Mathur shares insights and tools for ethical AI technology and practices.
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.
AI is increasingly mainstream, so it’s more important than ever to make sure that all organizations implement smart, unbiased security protocols.
Toni Witt explores the ramifications for AI-as-a-service now that Microsoft is working with OpenAI and Hugging Face to integrate AI tools GPT-3 and DALL-E-2 with Azure.
Learning when to say no is an important skill for CISOs, particularly, Robert Wood explains, when it comes to trendy or complex technologies and partnerships.
Aaron Back discusses the emergence of artificial intelligence in the financial services industry, and how it will affect banking in particular through co-creation and customer experience.
In ep. 75, Aaron Back explains how data and AI are being infused into life sciences to develop innovative solutions that target specific ailments and why there must be ethical guidelines in place.
CIOs need to make sure ERP systems are up-to-date or risk running into business difficulties. Kenny shares five priorities when implementing modernization.
Startup FindMine developed an AI engine that automatically pairs products together on a website to help customers envision different combinations and looks and move ahead to make purchases.
Findmine uses AI to assemble “looks” with clothing, furniture, and more – resulting in more “shoppable content” for customers to engage with.
Since the public sector is known to be risk adverse, In the Cloud Wars Expo Moment, Nicholas Smith discusses the public sector’s tendency to be risk-averse, which is why Oracle bakes security into all of its cloud stacks.
As Tom Smith reports, startup neurothink has embraced a multi-cloud model — based on several VMware products — to help make AI and ML “radically accessible.”
Radical accessibility is how neurothink describes its approach to AI/ML services. It aims to make good on that promise through multi-cloud.
Oracle’s Nicholas Smith discusses the impact of AI/ML to patch, optimize, and fine-tune autonomous databases for public sector customers.
Analyst Wayne Sadin offers ways for legacy organizations to update their data strategy so that they can keep up with cloud native organizations.