GPT is the underlying machine learning model that powers ChatGPT. Toni Witt explains what it is, and how its evolution will impact generative AI.
Machine Learning
Larry Ellison commented on a few topics as he made a surprise Zoom appearance at the Oracle Analyst Summit last month.
ChatGPT and its ilk are already changing how we work, which is why business leaders must educate themselves and their organizations on harnessing generative AI’s power.
Vanenburg CEO Ardjan Baan shares how the company’s Google Cloud partnership helps customers gain value and actionable intelligence from data.
AI helps deliver a positive customer experience, increases customer satisfaction, and improves customer retention and revenue, but only if applied wisely, writes Scott Vaughan.
After attending a HIMSS session led by DataRobot, Toni Witt contemplates which functions in healthcare should be fully automated and which require human intervention.
After attending the HIMSS 2023 Global Health Conference and Exhibition last week, Toni Witt recaps his top takeaways from the big healthcare industry event.
Toni Witt describes a research project featured at HIMSS 2023 that is using AI/ML to identify high-risk asthma patients to reduce hospitalizations.
Our practitioner analysts share their highlights from the QlikWorld conference. Customers, partners, and innovation are all key to Qlik’s strategy.
In a recent shareholder letter, Amazon CEO Andy Jassy has deemed the company as the leader of machine learning (ML), having more ML customers than any of its competitors.
CEO Mike Capone, speaking at QlikWorld, explains how the company has stood the test of time: a relentless focus on customer outcomes and analytics innovation.
In the “ML wars,” AWS claims to be the leader. In fact, the company has the largest ML functionality and customer base of any cloud provider, claims CEO Andy Jassy.
ChatGPT may be getting a lot of attention, but generative AI-powered deepfakes have been around for a while, and security teams can’t forget this riskier side of the technology, says Rob Wood.
Microsoft’s updates to its Azure AI Services for Health and Healthcare Cloud, set to be previewed at the HIMSS conference this week, signal a transformative leap forward.
A self-service data access model is key to enabling a business to take advantage of valuable information, but it must be implemented in a fashion that ensures fundamental security controls.
End users with little to no IT background can learn data engineering and data science with the help of low-code/no-code platforms, but they must understand foundational aspects of the fields to avoid creating messy situations.
Understand how to help the CFO understand modern technologies and how utilizing ERP, automation, and AI can optimize business performance.
By leveraging environmental, social, and governance data, healthcare providers can optimize resource use, minimize waste generation, and enhance patient outcomes.
For the life sciences sector to truly benefit from AI and machine learning technologies, it requires the implementation of long-term strategies.
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.