IBM Journey to AI blog

JUNE 27, 2024

A good place to start is refreshing the way organizations govern data, particularly as it pertains to its usage in generative AI solutions. For example: Validating and creating data protection capabilities : Data platforms must be prepped for higher levels of protection and monitoring.

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Generative AI Data Ingestion Large Language Models AI 305

AWS Machine Learning Blog

JUNE 18, 2024

This post presents a solution that uses a generative artificial intelligence (AI) to standardize air quality data from low-cost sensors in Africa, specifically addressing the air quality data integration problem of low-cost sensors. A human-in-the-loop mechanism safeguards data ingestion.

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Generative AI Data Ingestion Python LLM 133

IBM Journey to AI blog

JUNE 12, 2023

A long-standing partnership between IBM Human Resources and IBM Global Chief Data Office (GCDO) aided in the recent creation of Workforce 360 (Wf360), a workforce planning solution using IBM’s Cognitive Enterprise Data Platform (CEDP). Data quality is a key component for trusted talent insights.

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Data Quality Automation Data Ingestion Data Platform 187

Pickl AI

APRIL 14, 2023

Falling into the wrong hands can lead to the illicit use of this data. Hence, adopting a Data Platform that assures complete data security and governance for an organization becomes paramount. In this blog, we are going to discuss more on What are Data platforms & Data Governance.

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Data Platform Data Integration Data Ingestion Automation 52

IBM Journey to AI blog

JANUARY 5, 2023

The first generation of data architectures represented by enterprise data warehouse and business intelligence platforms were characterized by thousands of ETL jobs, tables, and reports that only a small group of specialized data engineers understood, resulting in an under-realized positive impact on the business.

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Unite.AI

OCTOBER 14, 2024

Oftentimes, this requires implementing a “hot” part of the initial data ingest, or landing zone where applications and users can work as fast as possible. Intelligent automation tools manage data movement, backup, and compliance tasks based on set policies, ensuring consistent application, and reducing administrative burdens​.

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ML Data Ingestion Data Analysis Machine Learning 195

Unite.AI

JUNE 4, 2024

Although migration work is a key component of our business, it’s the data platform engagements that really stand out when you’re talking about value to the business. This led to inconsistent data standards and made it difficult for them to gain actionable insights. The impact of these efforts was transformative.

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