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Building Trust in Public Sector AI Starts with Trusting Your Data

Cloudera

Recent Government Initiatives on Public Sector AI Solutions In recent years, governments across the globe have recognized the transformative potential of artificial intelligence (AI) and have embarked on initiatives to harness this technology to drive innovation and serve their citizens more effectively.

Building 104
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FedRAMP In Process Designation, A Milestone in Cybersecurity Commitment

Cloudera

I am pleased to announce that Cloudera has achieved FedRAMP “In Process”, a significant milestone that underscores our commitment to providing the public sector with secure and reliable data management solutions across on-prem, hybrid and multi-cloud environments.

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Data Science vs Cloud Computing: Differences With Examples

Knowledge Hut

Some techniques add to the development of technology in the business sectors, including Data Science and Cloud Computing, essential aspects of the technology industry. It is equally important to know in both sectors. Cloud computing does not rely on data analytics in any way. In this model, the data is not 100% secure.

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Data News — Week 24.05

Christophe Blefari

French public market salary grid in data (compared to software engineer) ( source ) The public sector released their salary grid for all tech workers — this is in French but scroll to the last page of the PDF to have the table We have 4 experiences buckets <5, <10, >10 and >20 years. conference.

MongoDB 130
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The Modern Data Streaming Pipeline: Streaming Reference Architectures and Use Cases Across 7 Industries 

Snowflake

This is driving the importance of streaming data and analytics, which play a crucial role in making better-informed decisions that likely lead to faster, better outcomes. You can optionally use Dynamic Tables (currently in public preview) for aggregating and materializing the aggregated results. And that’s just the beginning.

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Winning With Data in the Fight Against Fraud, Waste, and Abuse

Cloudera

Fraud, waste, and abuse (FWA) in government is a constant, multi-billion dollar issue that challenges agency leaders at all levels and across all sectors, from healthcare to education to taxation to Social Security. The scope and scale of public spending — federal outlays alone were approximately $6.6

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Spatial Data Science: Elements, Use Cases, Applications

Knowledge Hut

Spatial data science is a fast-expanding field in various corporate and public sectors. with Example) Spatial analysis , commonly referred to as geospatial data science is a geographical solution that combines data science with geographic solutions like geographic information systems (GIS).In