Cloudera’s new Cloud Anywhere messaging

"On-prem is the new cloud.” That statement is not just a headline. It reflects what many enterprises are quietly experiencing. I sat down with David Dichmann, VP Product Marketing and Evangelism, Cloudera, to unpack what is really driving this shift and how Cloudera’s Cloud Anywhere vision fits into the bigger picture.

Here is what we discussed:

-- Why rising cloud costs, data gravity, and regulatory pressure are pushing companies to rethink all-in cloud strategies

-- What Cloud Anywhere actually means beyond marketing

-- How enterprises can run advanced AI use cases without forcing massive data movement into one environment

-- Why security, governance, and Private AI are central to this resurgence of on-prem

-- The biggest roadblocks teams face when deploying AI across hybrid and multi-cloud environments

-- How portability and consistency reduce friction for data and AI teams

-- How Cloudera continues to lean into its open-source roots while evolving its platform

One theme stood out. AI does not require you to centralize everything into one cloud. It requires control, flexibility, and a consistent experience wherever your data lives. For enterprises balancing cost, compliance, and AI ambition, this conversation goes beyond trends. It is about architecture decisions that will shape the next few years.

#data #ai #cloudera #gartnerda #theravitshow"On-prem is the new cloud.” That statement is not just a headline. It reflects what many enterprises are quietly experiencing. I sat down with David Dichmann, VP Product Marketing and Evangelism, Cloudera, to unpack what is really driving this shift and how Cloudera’s Cloud Anywhere vision fits into the bigger picture.

Here is what we discussed:

-- Why rising cloud costs, data gravity, and regulatory pressure are pushing companies to rethink all-in cloud strategies

-- What Cloud Anywhere actually means beyond marketing

-- How enterprises can run advanced AI use cases without forcing massive data movement into one environment

-- Why security, governance, and Private AI are central to this resurgence of on-prem

-- The biggest roadblocks teams face when deploying AI across hybrid and multi-cloud environments

-- How portability and consistency reduce friction for data and AI teams

-- How Cloudera continues to lean into its open-source roots while evolving its platform

One theme stood out. AI does not require you to centralize everything into one cloud. It requires control, flexibility, and a consistent experience wherever your data lives. For enterprises balancing cost, compliance, and AI ambition, this conversation goes beyond trends. It is about architecture decisions that will shape the next few years.

#data #ai #cloudera #gartnerda #theravitshow