Remove AI Remove Data Ingestion Remove Data Platform
article thumbnail

Re-evaluating data management in the generative AI age

IBM Journey to AI blog

Generative AI has altered the tech industry by introducing new data risks, such as sensitive data leakage through large language models (LLMs), and driving an increase in requirements from regulatory bodies and governments. But firms need complete audit trails and monitoring systems.

article thumbnail

Databricks + Snorkel Flow: integrated, streamlined AI development

Snorkel AI

In todays fast-paced AI landscape, seamless integration between data platforms and AI development tools is critical. At Snorkel, weve partnered with Databricks to create a powerful synergy between their data lakehouse and our Snorkel Flow AI data development platform. Sign up here!

professionals

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

How Rocket Companies modernized their data science solution on AWS

AWS Machine Learning Blog

With the current housing shortage and affordability concerns, Rocket simplifies the homeownership process through an intuitive and AI-driven experience. Rockets legacy data science architecture is shown in the following diagram. This makes it easier to access and analyze the data, and to integrate it with other systems.

article thumbnail

Want to be a hybrid cloud winner? The recipe for XaaS success

IBM Journey to AI blog

Struggling with the limitations of conventional approaches, you recognize the imperative to embrace IT-as-a-service to stay ahead, with the infusion of AI becoming the catalyst for change. Welcome to a new era—where the infusion of AI into every facet of operations is not just an option, but a necessity. The result?

article thumbnail

Improving air quality with generative AI

AWS Machine Learning Blog

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.

article thumbnail

How IBM HR leverages IBM Watson® Knowledge Catalog to improve data quality and deliver superior talent insights

IBM Journey to AI blog

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.

article thumbnail

Foundational models at the edge

IBM Journey to AI blog

Foundational models (FMs) are marking the beginning of a new era in machine learning (ML) and artificial intelligence (AI) , which is leading to faster development of AI that can be adapted to a wide range of downstream tasks and fine-tuned for an array of applications. Large language models (LLMs) have taken the field of AI by storm.