CIO Business Intelligence
DECEMBER 9, 2024
This is particularly true with enterprise deployments as the capabilities of existing models, coupled with the complexities of many business workflows, led to slower progress than many expected. Measuring AI ROI As the complexity of deploying AI within the enterprise becomes more apparent in 2025, concerns over ROI will also grow.
O'Reilly on Data
JANUARY 21, 2025
TL;DR: Enterprise AI teams are discovering that purely agentic approaches (dynamically chaining LLM calls) dont deliver the reliability needed for production systems. A shift toward structured automation, which separates conversational ability from business logic execution, is needed for enterprise-grade reliability.
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CIO Business Intelligence
OCTOBER 23, 2024
Every enterprise must assess the return on investment (ROI) before launching any new initiative, including AI projects,” Abhishek Gupta, CIO of India’s leading satellite broadcaster DishTV said. AI costs spiral beyond control The second, and perhaps most pressing, issue is the rising cost of AI implementation.
CIO Business Intelligence
JANUARY 30, 2025
The aim is to provide a framework that encourages early implementation of some of the measures in the act and to encourage organizations to make public the practices and processes they are implementing to achieve compliance even before the statutory deadline.In
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Enterprises are pouring money into data management software – to the tune of $73 billion in 2020 – but are seeing very little return on their data investments.
CIO Business Intelligence
JANUARY 10, 2025
A sharp rise in enterprise investments in generative AI is poised to reshape business operations, with 68% of companies planning to invest between $50 million and $250 million over the next year, according to KPMGs latest AI Quarterly Pulse Survey. However, only 12% have deployed such tools to date.
CIO Business Intelligence
JANUARY 23, 2024
Regardless of where organizations are in their digital transformation, CIOs must provide their board of directors, executive committees, and employees definitions of successful outcomes and measurable key performance indicators (KPIs). He suggests, “Choose what you measure carefully to achieve the desired results.
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