IBM Journey to AI blog
JANUARY 18, 2023
Data platform architecture has an interesting history. A read-optimized platform that can integrate data from multiple applications emerged. In another decade, the internet and mobile started the generate data of unforeseen volume, variety and velocity. It required a different data platform solution.
IBM Journey to AI blog
JUNE 27, 2024
For example: Validating and creating data protection capabilities : Data platforms must be prepped for higher levels of protection and monitoring. Data discovery and cataloging tools can assist but should be augmented to make the classification specific to the organization’s understanding of its own data.
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Marktechpost
APRIL 19, 2024
The platform’s distinctive and adaptable design makes connecting and organizing data across any cloud storage option possible. As a result, data silos are eliminated and procedures are streamlined. Key Features When it comes to artificial intelligence, old-fashioned data management technologies can’t keep up.
IBM Journey to AI blog
MAY 9, 2023
Watsonx.data will be core to IBM’s new AI and Data platform, IBM watsonx, announced today at IBM Think. “IBM and Cloudera customers will benefit from a truly open and interoperable hybrid data platform that fuels and accelerates the adoption of AI across an ever-increasing range of use cases and business processes.”
Marktechpost
MARCH 12, 2024
Even among datasets that include the same subject matter, there is no standard layout of files or data formats. This obstacle lowers productivity through machine learning development—from data discovery to model training. Taken as a whole, these enhancements significantly lessen the load of data development.
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.
IBM Journey to AI blog
JULY 3, 2024
Your data strategy should incorporate databases designed with open and integrated components, allowing for seamless unification and access to data for advanced analytics and AI applications within a data platform. This enables your organization to extract valuable insights and drive informed decision-making.
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