VMware Private AI
While generative AI is a transformative technology, enterprises face daunting challenges in its deployment- privacy and security, choice, performance, compliance, cost and control.
With the launch of VMware Private AI, Broadcom is solving these challenges for customers. This architectural approach for AI services enables privacy and control of corporate data, choice of open source and commercial AI solutions, quick time-to-value, and integrated security and management. Built on top of the industry leading private cloud platform, VMware Cloud Foundation™, VMware Private AI is a privacy-first approach to AI.
With VMware Private AI, enterprises can deploy Gen AI with confidence, knowing that VMware has built partnerships with the leading AI providers . VMware Private AI allows organizations to run their choice of AI models wherever their data resides, now or in the future.
Chris Wolf
Global Head of AI and Advanced Services
Broadcom
Hype Cycle™ for Artificial Intelligence, 2024
- Afraz Jaffri | Haritha Khandabattu
- 17 June 2024
Investment in AI has reached a new high with a focus on generative AI, which, in most cases, has yet to deliver its anticipated business value. This research helps AI leaders identify other techniques worthy of investment by profiling a wide range of AI innovations, many of which are advancing fast.
Analysis
What You Need to Know
Generative AI (GenAI) has passed the Peak of Inflated Expectations, although hype about it continues. In 2024, more value will derive from projects based on other AI techniques, either stand-alone or in combination with GenAI, that have standardized processes to aid implementation. To deliver maximum benefit, AI leaders should base future system architectures on composite AI techniques by combining approaches from innovations at all stages of the Hype Cycle.
As the volume and scale of AI projects have increased, second-order effects have come into play. Increasing attention is therefore being paid to governance, risk, ownership, safety and mitigation of technical debt. These factors are being addressed at national, enterprise, team and individual practitioner levels, but, even with regulations reaching advanced stages, maturity is far from being achieved.
GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally, and HYPE CYCLE is a registered trademark of Gartner, Inc. and/or its affiliates and are used herein with permission. All rights reserved.
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