Because Generative AI directly impacts the people and costs that are central to business results, it’s critical that businesses ensure the ethics and explainability of this technology.
Search Results: ChatGPT (318)
In this special interview, Aaron Back speaks with Kenny Mullican about the top trends and takeaways from last week’s IBM Think 2023 event in Orlando.
Organizations must understand what machine learning, including deep learning, is and what it isn’t to gain the most value from their ML business applications.
Analyst Toni Witt shares two real-world use cases demonstrating how large language models like GPT-4 enhance finance processes, reduce errors and biases, and boost efficiency.
AI’s rise means many companies are needing to upgrade their automated processes, but they must ensure they have a plan in place.
Bob Evans proposes five critical issues that he hopes SAP addresses during its upcoming Sapphire event, taking place in mid-May.
Organizations must understand how to optimize both non-generative and generative AI to unlock value across operations.
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.