ISG Software Research’s expertise examines the software provider landscape through two lenses: business applications (including office of finance, human capital management (HCM) and customer experience) and IT and technology (including digital business, digital technology, artificial intelligence (AI) and analytics and data). Most software providers fall into one of these two high-level expertise areas. One of the reasons that agentic AI is so potentially impactful on the software sector is...
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Topics:
Analytics,
IT,
AI,
Data Platforms,
AI & Technologies,
AI and Machine Learning,
Cloud Infrastructure
I have been saying for several years that success with streaming data requires enterprises to manage data in motion alongside data at rest, rather than treating streaming as a niche activity. Software providers have also been moving in this direction. Many established data management providers have added the ability to manage, store and process streaming data alongside their existing batch data processing capabilities. At the same time, providers closely associated with streaming data, such as...
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Topics:
Governance,
AI,
Data Platforms,
AI & Technologies,
AI and Machine Learning,
Streaming & Events
One of the key questions that will need to be solved if agentic artificial intelligence is to fulfill its potential is which technologies and providers will serve the role of orchestrating communication and integration between the various models, applications and data repositories involved. ISG Research defines agentic AI as software designed to execute business processes through autonomous actions, potentially controlling multiple processes and systems through the orchestration of one or more...
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Topics:
Governance,
Operations,
AI,
Generative AI,
Data Intelligence,
AI & Technologies,
AI and Machine Learning
If a single phrase could sum up the big data craze of a dozen or so years ago, it would be “more data beats better algorithms.” Attributed to Google research director Peter Norvig, the quote effectively summarized a research paper Norvig jointly authored called The Unreasonable Effectiveness of Data and was embraced by big data enthusiasts as articulating the prevalent thinking that enterprises with the largest volumes of data have an advantage over rivals. The phrase was, of course, an...
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Topics:
Operations,
AI,
Data Intelligence,
AI & Technologies,
AI and Machine Learning