Startups are focusing on specific use cases to apply NLP tools within the RPA industry, such as for improving workflow automation and customer service.
Artificial Intelligence
Get a preview of the Generative AI Digital Summit taking place on May 25. It will delve into the future of work, cybersecurity, customer experience, and more.
Cirque du Soleil VP of IT Philippe Lalumiere tells Bob Evans how the live entertainment company evaluates VR and AI.
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.
In this Digital CIO Summit moment, IBM Consulting SVP John Granger explains how IBM aids clients, and CEOs, in their engagements with AI.
From education to the creator economy, few sectors are immune to the disruptive effects of generative AI, but different generations look at (and must approach) the technology differently.
Since the healthcare industry manages sensitive patient data and more, responsible AI frameworks are essential to integrating this technology.
By integrating generative AI with automation, industries can provide personalized customer experiences and meet shifting market conditions.
While on location, Toni Witt reviews the keynote from Day 1 of HIMSS 2023 that explored how large industries, like healthcare, will unlock the true value of AI.
Rob Wood explores how organizations should think about generative AI models from a risk perspective, with a special focus on the conversations between security leaders and the C-suite.
Our practitioner analysts share their highlights from the QlikWorld conference. Customers, partners, and innovation are all key to Qlik’s strategy.
Generative AI’s rapid rise makes it imperative for security teams to establish policy frameworks and guardrails in order to mitigate risk.
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.
“Intelligent Automation” co-author Ian Barkin explains how generative AI’s capabilities make it a much easier sell than the automation functionality of yesteryear.
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.
The release of Microsoft’s Security Copilot is only the beginning of generative AI use cases for cybersecurity tooling, says Chris Hughes.
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.