Unite.AI

SEPTEMBER 16, 2024

Compiling data from these disparate systems into one unified location. This is where data integration comes in! Data integration is the process of combining information from multiple sources to create a consolidated dataset. Data integration tools consolidate this data, breaking down silos.

Data Integration 173

Data Integration ETL Big Data Automation 173

Unite.AI

SEPTEMBER 16, 2024

Compiling data from these disparate systems into one unified location. This is where data integration comes in! Data integration is the process of combining information from multiple sources to create a consolidated dataset. Data integration tools consolidate this data, breaking down silos.

Data Integration 173

Data Integration ETL Big Data Automation 173

Unite.AI

SEPTEMBER 21, 2023

Integrating creative and cognitive capabilities in smart contracts. Moreover, AI automation can help save time and effort in handling complex blockchain workflows by reducing the need for human supervision. AI-powered Analytics & Insights AI enhances the capabilities of blockchain systems using data-driven insights.

Convolutional Neural Networks 289

Convolutional Neural Networks Neural Network Artificial Intelligence Artificial Intelligence 289

Aiiot Talk

JANUARY 17, 2024

Computer vision is another way AI automates quality control. Data privacy concerns are escalating in all industries, but sectors handling personally identifiable information — like health care — are even more crucial to supervise because of how sensitive and valuable this information is.

Robotics 148

Robotics Data Integration AI AI 148

Unite.AI

OCTOBER 30, 2024

This makes us the central hub, collecting data from all these sources and serving as the intelligence layer on top. However, the challenge is that some of these systems are based on non-cloud, on-premise technology, or even cloud technology that lacks APIs or clean data integrations.

Automation 264

Automation AI AI Generative AI 264

IBM Journey to AI blog

SEPTEMBER 5, 2024

Access to high-quality data can help organizations start successful products, defend against digital attacks, understand failures and pivot toward success. Emerging technologies and trends, such as machine learning (ML), artificial intelligence (AI), automation and generative AI (gen AI), all rely on good data quality.

Metadata 188

Metadata Data Quality Auto-classification DevOps 188

Unite.AI

SEPTEMBER 22, 2023

Jay Mishra is the Chief Operating Officer (COO) at Astera Software , a rapidly-growing provider of enterprise-ready data solutions. What initially attracted you to computer science? Why is Astera a superior solution than competing platforms? The post Jay Mishra, COO of Astera Software – Interview Series appeared first on Unite.AI.

Large Language Models 278

Large Language Models Automation Artificial Intelligence Artificial Intelligence 278