Organizations must ensure they’re using quality data to achieve the best results in hyperautomation environments.
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The blurring lines between AI and low-code are reshaping software development, as AI complements low-code platforms and expands their capabilities.
There are several security risks associated with generative AI, including AI-powered social engineering attacks and evasion of traditional security defenses.
The potential of generative AI goes far beyond image generation and blog writing—it is a game-changer for staying ahead of evolving cybersecurity threats.
The speed of AI innovation is outpacing companies’ ability to understand, let alone manage, the risk. This is where leaders can take control.
Generative AI holds remarkable potential to help partners accelerate product development and customer support at lower cost.
Paul Swider explains the ways in which generative AI is making its way into healthcare portals, chatbots, and other patient experiences.
With its Viya platform, SAS consolidates its offerings into a single, cloud-native product for AI-driven automation, data management, and analytics.
In anticipation of the Generative AI Digital Summit on May 25th, Janet Schijns runs through some existing use cases for technology partners.
Generative AI transforms the role of the CIO, making them a central figure in driving innovation, strategy, and decision-making within organizations.
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.
While generative AI is still a relative newcomer in the channel, it’s already starting to create an impact in several ways.
Google Cloud contributes to the generative AI revolution with its impressive portfolio of new GenAI technologies being utilized by Uber, Wendy’s, and Deutsche Bank.
Contributing to the generative AI revolution, Google Cloud is bringing its generative AI capabilities to Deutsche Bank, Uber, and Wendy’s, according to CEO Thomas Kurian.
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.
ChatGPT, and its generative AI underlying technology, can replace some, but not all, human tasks. In this analysis, Janet Schijns explores which ones are best suited for machines versus humans.
AI helps deliver a positive customer experience, increases customer satisfaction, and improves customer retention and revenue, but only if applied wisely, writes Scott Vaughan.
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.
Cirque du Soleil VP of IT Philippe Lalumiere tells Bob Evans how the live entertainment company evaluates VR and AI.