Databricks has rolled out its own AI model intended as a simpler alternative to ChatGPT, with an aim to help customers build chatbots.
Search Results: chatbot (123)
Early data suggests holiday online sales are solid. E-commerce companies are using automation and chatbots to improve service and save money.
In the latest Enterprise AI Minute, Ep 55, Aaron discusses the ethical concerns around chatbots designed to speak for the deceased.
With consumer retail spend through chatbots reaching $142 billion by 2024, what impact do chatbots have in your organization? Help or hindrance?
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.
Lookout recently launched its generative-AI powered assistant, SAIL, to enhance its cloud-native cybersecurity platform.
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.
Celonis co-CEO Alex Rinke lists scalability, innovation, and embedded knowledge as his firm’s top three differentiators in a discussion for Process Mining Battleground.
Celonis’ track record of delivering major savings for customers, innovations including object-centric functionality, and plans to tap generative AI highlight a discussion with co-CEO Alex Rinke.
Microsoft furthers its Copilot integrations, as AI-assisted development continues to gain momentum from LLMs and generative AI.
By providing a data-driven perspective on existing processes and enriching this understanding with AI, process mining can reveal customer experience inefficiencies and recommend improvements.
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.