... involved. This research helps infrastructure architects increase I&O’s value and IT/OT alignment through engagement in business-outcome-driven edge computing initiatives. Overview Strategic Planning Assumptions Analysis Recommendations Conclusion Contributors Gartner Recommended Reading Gartner Insights ...
Analyst(s): Mohini Dukes
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... While LLM providers’ enterprise revenue is growing, it currently lacks the volume and velocity required to fund the frontier compute cycle. The consumer market remains a critical revenue enabler that frontier model providers like OpenAI, Google and Anthropic rely upon to meet their aggressive financial ...
... urgency to fast-track their organization’s transition to postquantum cryptography, as a pair of U.S. government executive orders confirm that quantum computing’s threat to cryptography is moving faster than originally expected. Strategic Planning Assumptions Analysis Contributors Gartner Recommended Reading ...
Analyst(s): Christopher Mixter | Mark Horvath | Bart Willemsen | Sarah Almond
... Cloud architects increasingly need to manage a range of geopolitical risks related to cloud-dependent solutions. Architect using a scenario-based approach focused on risk probabilities, implementation constraints and desired outcomes, rather than debating abstract cloud sovereignty concerns. Overview ...
... innovation for cloudcomputing, create market disruptions and enhance customer retention in order to gain a competitive edge. Key Takeaways “Cloudcomputing continues to evolve, progressing from being just a technology disruptor to becoming a necessity by 2028. In 2028, cloudcomputing will not just be ...
... we explore: The potential for edge computing What edge computing is and which technologies help shape it Whether enterprises are ready for edge computing How the edge and the cloud will evolve together We also highlight relevant research to define edge computing, discussing its benefits and synergies ...
... Cloud AI costs are exploding, and unpredictable government interventions threaten access to frontier models. Software engineering leaders should stop defaulting to cloud frontier models for agentic work. Deploy a tiered architecture using local, on-premises, and cloud inference to control risk. Insights ...
Analyst(s): Johan Jartelius | Akis Sklavounakis | Nitish Tyagi | Luke Parker