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Category: AI and Data Analytics

Topics Include Personal Info Sharing, Critical Gaps in CX, and Consumer Sentiment on AI
Alex Gaw, Contributing Analyst at The Futurum Group, provides a roundup of the latest CX research reports and survey findings from Airship, CCW Digital, and Qualtrics. In this edition, he writes about how consumers are more willing this year to share their personal information with brands; how consumers feel that CX has worsened; and how consumers are still apprehensive of AI involvement in the financial, legal, and medical aspects of their lives.
Mark Beccue, Research Director at The Futurum Group examines GitHub’s recent research findings related to usage patterns for GitHub CoPilot, its automated code development tool. The piece explores why GitHub’s research, which confirms other anecdotal evidence, is a remarkable signpost to the impact generative AI-powered automated code development is having. While copyright issues could be an impediment, right now, automated code development looks like the killer GenAI app.
On this episode of The Six Five Connected, host Diana Blass dives into the regulatory environment that surrounds AI following the quick rise of ChatGPT and other forms of Generative AI.
Assisted Authoring, Suggestions, and Summarization Features Help Drive HR Efficiency
Keith Kirkpatrick, Research Director at The Futurum Group covers Oracle’s introduction of generative AI technology within its Oracle Cloud HCM solution, and discusses why Oracle’s customers may be in a better position to deploy generative AI, compared with organizations that do not have a unified data strategy.
New Enhancements with Virtual Assistants, Self-Service, Learning Personalization, and Analytics
Sherril Hanson, Senior Analyst at The Futurum Group discusses isolved’s extended AI capabilities designed to support productivity, performance, and predictability with Geoff Webb VP of Solution Strategy.
Partnership Between Twilio and Frame AI Helps Deliver Insights and Recommendations to Inform Critical Decisions
Keith Kirkpatrick, Research Director at The Futurum Group covers Twilio’s partnership with Frame AI, and discusses the continuing value being derived from non-generative AI technology, including NLP, NLG, and analytics-based AI.
Keith Kirkpatrick, Research Director at The Futurum Group, covers Coveo’s use of retrieval-augmented generation, and discusses how the company’s inclusion of access-level control can help organizations safely deploy generative AI on an enterprise-wide basis.
The Futurum Group analyst Todd R. Weiss shares his insights about the generative AI capabilities coming to Pega Infinity in Q3 as the low-code, AI-powered decisioning and workflow automation platform gains expanded features to help customers take advantage of the power of generative AI.
Randy Kerns, Senior Strategist at The Futurum Group covers covers the release of IBM's new AI-focused solutions as it announces general availability of watsonx.data.
In our latest research brief, IBM’s Opportunity for Generative AI in the Enterprise, done in partnership with IBM, we analyze IBM’s approach to generative AI and foundation models, including key IBM differentiators, such as its full technology stack – inclusive of models and model management, data store and governance tools – that enables businesses to seamlessly implement and scale generative AI throughout their organizations’ workflows, regardless of cloud environment.
Generative AI Tools Can Deliver Significant Benefits to Contact Centers, But Agent Training Is a Must
Keith Kirkpatrick, Research Director at The Futurum Group discusses the impact of generative AI on the average resolution time (ART) metric, and the steps that organizations must take with agent training to get the most out of generative AI tools aimed at contact center workers.
A Lack of Transparency Around How the Company’s AI Models Mitigate Potential Biases Should Be Concerning to Customers
Keith Kirkpatrick, Research Director at The Futurum Group covers Zenarate’s AI Coach and its most recent funding round, and discusses the lack of information provided around bias mitigation in the company’s AI training models.