With its NorthPole chip optimized for AI inferencing, IBM builds on its history in hardware and chip design, and advances one of the key foundational elements of AI apps.
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At Community Summit, generative AI was a huge theme throughout the week, with a focus particularly on Microsoft’s Copilot.
Microsoft Cloud for Healthcare aims to unlock the potential of vast healthcare data by integrating diverse sources and leveraging AI to improve patient care and healthcare operations.
Baidu is the first Chinese tech company to pass government approval for its own LLM, as it releases ERNIE bot to the public.
AI Index Report episode 12: Treefera provides AI forest analytics platform for carbon credit verification; EY announces EY.AI model; and Baidu launches Ernie Bot.
In a discussion surrounding the Automation Anywhere Imagine conference, AWS exec Jagjit Dhaliwal explains how the companies are working together to help customers drive generative AI outcomes.
AI-powered virtual assistants from Microsoft, ServiceNow, and other companies are delivering new capabilities for businesses. How to set expectations for their impact remains an open question.
Integrating generative AI, natural language prompts, large language models, and machine learning augments the power of customer experience applications.
AI is creating massive cultural changes in business and consumers’ lives. Here are three ways AI will impact core business functions in the near future.
AptEdge is using generative AI to turn the challenge of data and knowledge sprawl into an advantage when it comes to serving customers.
Microsoft furthers its Copilot integrations, as AI-assisted development continues to gain momentum from LLMs and generative AI.
Mercedes-Benz, Ulta, and Toyota are co-creating with leading vendors to leverage AI for extraordinary customer experiences.
Organizations must ensure they’re using quality data to achieve the best results in hyperautomation environments.
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.