Domo provides an AI and Data Products Platform that connects enterprise data, analytics, applications, and AI workflows in a governed cloud environment. Company news commonly covers Domo.AI, AI Agent Builder, Magic ETL, semantic-layer and administrator controls, marketplace availability, and integrations with cloud data foundations such as Google Cloud, BigQuery, Vertex AI, and Gemini.
Updates also include customer and partner activity, Domopalooza product announcements, executive appointments tied to AI and analytics, and the company’s subscription-based platform and professional-services business.
Domo announced that ESPN is leveraging Domo App Studio to enhance its customer service experience. Partnering with RXA@OneMagnify, ESPN developed a custom app that analyzes their customer service survey data to improve fan interactions. Historically, ESPN tracked customer satisfaction using star ratings, but found that written feedback offered richer insights. The new app employs a Large Language Model (LLM) and Domo’s AI Model Management layer to parse text reviews and score customer sentiment. This will allow ESPN to refine their service, train agents more effectively, and grow their customer base.
Domo (Nasdaq: DOMO) has been named to the Women Tech Council 2024 Shatter List for the seventh consecutive year. This list highlights companies promoting inclusive cultures for women in tech. Domo's commitment to equity, inclusion, and diversity has been recognized through key areas like executive engagement, company programming, community investment, and women's support groups.
Domo (Nasdaq: DOMO) has been ranked as the top vendor in the Dresner Advisory Services' 2024 Self-Service Business Intelligence Market Study for the sixth consecutive year. The study evaluated self-service BI features, collaborative tools, governance, framework integration, natural language analytics, generative AI, and guided analytics, with Domo outperforming 16 other vendors. The platform provides teams with self-service access and analytics, reducing the load on data teams while ensuring governance and control.
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