Organizations must understand how to optimize both non-generative and generative AI to unlock value across operations.
Search Results: ChatGPT (312)
GPT is the underlying machine learning model that powers ChatGPT. Toni Witt explains what it is, and how its evolution will impact generative AI.
ChatGPT and its ilk will both create new roles, and amplify the skills in current ones, ultimately leading to increased productivity and efficiency levels, says Ronak Mathur.
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.
Startup Akkio developed a no-code AI platform to enable companies to overcome common challenges with data and large language models (LLMs).
In this Acceleration Economy Digital CIO Summit Moment, excerpted from the “Generative AI and the Future” session, “Intelligent Automation” co-author Ian Barkin answers John Siefert’s question on the future of education.
Enterprise resource Planning (ERP) systems can optimize the use of resources to generate income and plan for the future.
IBM Consulting is helping customers leverage massive inflection points around AI with four primary use cases. SVP John Granger spoke with Bob Evans to explain how.
The human element plays a vital role in generative AI outcomes – particularly, human intelligence and creativity.
Startups are focusing on specific use cases to apply NLP tools within the RPA industry, such as for improving workflow automation and customer service.
In this Cloud Wars Live episode, Bob Evans and Christian Anschuetz discuss how business leaders should view generative AI and ChatGPT.
After attending the HIMSS 2023 Global Health Conference and Exhibition last week, Toni Witt recaps his top takeaways from the big healthcare industry event.
With DroidGPT, Endor Labs applies generative AI to software development to ensure open-source packages are current and secure.
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.
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.
Wayne Sadin explains organizations can make the most of their big investments in generating and acquiring data with the help of SaaS data lakehouses.
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.