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Private cloud providers may benefit from the generative AI gold rush as enterprises reassess their cloud strategies in favor of a hybrid mix of public and private cloud. Key Points of the article: Enterprises are eyeing private clouds for cost control and data integrity as they adopt AI workloads, with top concerns being data privacy and security. Some IT leaders remain comfortable running all workloads on public clouds, while others explore private clouds for anomaly detection and predictive modeling. The emergence of turnkey private cloud offerings allows customers to run a private cloud on premises or in a co-location facility with managed services. The use of private clouds for AI workloads is expected to grow, with IDC forecasting global spending on enterprise private cloud infrastructure to reach $66.4 billion by 2027.

Private Cloud will be in the forefront in 2025 as business leaders will increasingly spend on it to address regulatory compliance issues, according to Forrester Research. Analysts share their predictions on that and more in this TechTarget CIO article: https://bit.ly/3B9ZBWZ #datasovereignty #cloud

Get a sneak peek into two of the most exciting applications that Google Cloud has been developing on its own Google AI-powered journey and 4 recommendations to navigate the path to successful implementations in your organizations:

Hyperscalers provide a great place to start and rationalize an AI workload but there are associated risks and extensive costs with continuing to run them there at scale. Data Governance, Security and Predictable costs are reasons why IT leaders are pushing AI workloads to private cloud solutions like HPE GreenLake Michael Berner Sumeet Khanna Joel Russo Alexandra Hildebrand Erik Braun Mitchell Crowe Corey Belt

Learn the trade secrets of effective workload and application migration tactics in the cloud to stay ahead of the curve in the digital transformation process. Continue reading: https://bit.ly/3HEyxPA #cloudsuccess #aistrategy #digitaltransformation #cloudmigration #techinnovation #aiintegration #futuretech #successstories #innovationjourney #techtransformation #datadrivensuccess

With the cloud being the best delivery option for enterprises to reap the benefits of AI, companies need to re-architect their data and move applications into a centralized, secure place to enable AI to do its magic. Solution providers are helping customers achieve their AI goals by focusing on migrating customers’ data and workloads into cloud environments.

Escalating cloud and AI costs and preventing data leakage are top reasons why enterprises are eying hybrid infrastructure as they target AI solutions...  turnkey private cloud offerings with cloud experience provide a path forward. https://lnkd.in/eabUb9FX #HPE_GreenLake HPE GreenLake

The generative AI boom is reshaping cloud strategies. Enterprises are increasingly eyeing private clouds to handle AI workloads, balancing cost control and data security. A hybrid model combining public and private clouds seems to be the future. What are your thoughts on this shift?

The generative AI boom is reshaping cloud strategies. Enterprises are increasingly eyeing private clouds to handle AI workloads, balancing cost control and data security. A hybrid model combining public and private clouds seems to be the future. What are your thoughts on this shift?

With the cloud being the best delivery option for enterprises to reap the benefits of AI, companies need to re-architect their data and move applications into a centralized, secure place to enable AI to do its magic. Solution providers are helping customers achieve their AI goals by focusing on migrating customers’ data and workloads into cloud environments.