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Cloudera Reports Second Quarter Fiscal 2022 Financial Results and Leadership Transitions

Cloudera Reports Second Quarter Fiscal 2022 Financial Results and Leadership Transitions
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Needham Issues a Hold Rating on Cloudera (CLDR)

Markets
Needham analyst Jack Andrews assigned a Hold rating to Cloudera (CLDR – Research Report) today. The company’s shares closed last Wednesday at $12.31.
According to TipRanks.com, Andrews is a 5-star analyst with an average return of 24.6% and a 60.4% success rate. Andrews covers the Technology sector, focusing on stocks such as CommVault Systems, LiveRamp Holdings, and Pegasystems.
Cloudera has an analyst consensus of Hold, with a price target consensus of $14.83.
Cloudera’s market cap is currently $3.59B and has a P/E ratio of -22.60. The company has a Price to Book ratio of -892.23.
TipRanks has tracked 36,000 company insiders and found that a few of them are better than others when it comes to timing their transactions. See which 3 stocks are most likely to make moves following their insider activities. ....

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Federated Learning Solutions Market Growing at a CAGR 11.4% | Key Player Microsoft, Google, Intellegens, Edge Delta, Enveil

Share:
“NVIDIA (US), Cloudera (US), IBM (US), Microsoft (US), Google (US), Owkin (US), Intellegens (UK), DataFleets (US), Edge Delta (US), Enveil (US), Lifebit (UK), Secure AI Labs (US), Sherpa.ai (Spain), Decentralized Machine Learning (Singapore), and Consilient (US).”
Federated Learning Solutions Market by Application (Drug Discovery, Industrial IoT), Vertical (Healthcare and Life Sciences, BFSI, Manufacturing, Retail and eCommerce, Energy and Utilities), and Region – Global Forecast to 2028
As per AS-IS scenario, the global Federated Learning Solutions Market size to grow from USD 117 million in 2023 to USD 201 million by 2028, at a Compound Annual Growth Rate (CAGR) of 11.4% during the forecast period. Various factors such as the potential to enable companies to leverage a shared ML model collaboratively by keeping data on devices and the capability to enable predictive features on smart devices without impacting user experience and leaking private informat ....

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