"Cloudera describes itself as the company that brings "AI to data anywhere" today. It's a claim stems from its work that spans a multiplicity of data stacks in private datacentres, in public cloud and at the compute edge. As we now witness enterprises move quickly through what the company says are "new stages of AI maturity", Cloudera used its Evolve25 flagship practitioner & partner conference this month in New York to explain the mechanics of its mission to help enterprises navigate this transformation with an AI-powered data lakehouse."
""We're now an important part of the discussion when customers are analysing how they are going to really operationalise AI. Leaders across every major industry in data-driven organisations use Cloudera to power their AI projects... but things have changed i.e. AI has moved onwards from being used [just] for anomaly detection to really being used in business user environments that drive real business value," he said."
"Sansbury says that his go-to factors that help him decide whether to help lead a company are a) its ability to scale b) whether it has a defined tailwind [for growth, expansion & innovation] and c) it helps when an enterprise works with investors that he knows."
Cloudera delivers an AI-powered data lakehouse that spans private datacentres, public cloud, and compute edge to enable enterprise AI at scale. The platform manages over 25 exabytes of data and supports customers as they advance through stages of AI maturity. Organizations increasingly deploy AI beyond anomaly detection into business-user environments that generate measurable value. AI agents reduce routine human tasks, allowing workforce re-tasking toward higher-value, intuitive decision-making. Cloudera positions hybrid architectures as an end-state arc for enterprises seeking to operationalize AI across diverse data stacks and infrastructure footprints.
Read at Techzine Global
Unable to calculate read time
Collection
[
|
...
]