솔루션 제공업체가 AI를 활용하여 엔터프라이즈 데이터 패브릭 플랫폼을 혁신하는 방법

Actionable Benefits:

• Identify Artificial Intelligence (AI) solutions that need to be embedded into data management solutions for better enterprise business benefits.
• Review profiles of AI-infused data management solution providers with value proposition and key focus applications.
• Gain a better understanding of the evolution of enterprise data fabric solutions and what needs to be done to remain relevant.

Critical Questions Answered:

• What are the competitive advantages of current data management solution providers?
• What are key characteristics that data management solution providers must have to support enterprise data fabric platforms?
• How can data management solution providers identify opportunities in the enterprise data fabric market?

Research Highlights:

• Identify how to win customers by implementing unique AI tool differentiators.
• Identify characteristics between basic AI capabilities and data monetization-specific AI capabilities for data management solutions.
• Understand business use cases that are common across enterprises and how to address these use cases using AI-based data management solutions.

Who Should Read This?

• Product managers at data management solution providers looking to identify key competitive differentiators
• Data management product engineers tasked with integrating new AI features into a data management solution to drive new customer acquisition.
• Large business application solution providers trying to strengthen their data management value proposition by identifying top data management vendors.

TABLE OF CONTENTS

Key Findings

Key Forecasts

Key Companies

Enhancing and Differentiating Enterprise Data Fabric Offering with AI

Solving Enterprise Use Cases for Enterprise Data Fabric

Final Thoughts