IDC Spotlight: IBM to Acquire DataStax. It is all About Building the Data for AI Infrastructure
The rapid adoption of gen AI has amplified the need for AI-ready data. Organizations are aiming to extract more value from their data than ever before to build accurate, powerful gen AI applications that can scale into production. However, fundamental challenges around data silos, unstructured data complexity, and a shortfall of skills prevent organizations from leveraging their enterprise data for differentiated, powerful AI.
IBM has announced its intention to acquire DataStax to complement the watsonx portfolio at a time when organizations seek to modernize their data architecture to address AI's biggest challenges.
Read IDC's take on:
- IBM's announcement of its intention to acquire DataStax
- Key data challenges organizations are facing in becoming AI-driven businesses
- How DataStax complements the watsonx portfolio to solve these challenges
IDC Spotlight: IBM to Acquire DataStax. It is all About Building the Data for AI Infrastructure
The rapid adoption of gen AI has amplified the need for AI-ready data. Organizations are aiming to extract more value from their data than ever before to build accurate, powerful gen AI applications that can scale into production. However, fundamental challenges around data silos, unstructured data complexity, and a shortfall of skills prevent organizations from leveraging their enterprise data for differentiated, powerful AI.
IBM has announced its intention to acquire DataStax to complement the watsonx portfolio at a time when organizations seek to modernize their data architecture to address AI's biggest challenges.
Read IDC's take on:
- IBM's announcement of its intention to acquire DataStax
- Key data challenges organizations are facing in becoming AI-driven businesses
- How DataStax complements the watsonx portfolio to solve these challenges