IBM has enhanced its Watson platform, adding new capabilities like data cataloging and data refining, to make analysis and AI applications data preparation easier for developers and data scientists.
The developers face challenges while ingesting the machine learning into their apps, and number of developers doing so are continuously increasing. IBM has added an integrated set of tools and services to the Watson that will help developers and data scientists easily access services like AI, machine learning, and analytics. They can share the data across public and private clouds.
“We are always looking for new ways to gain a more holistic view of our clients’ campaign data, and design tailored approaches for each ad and marketing tactic,” said Michael Kaushansky, Chief Data Officer at Havas, a global advertising and marketing consultancy. “The Watson Data Platform is helping us do just that by quickly connecting offline and online marketing data. For example, we recently kicked off a test for one of our automotive clients, aiming to connect customer data, advertising information in existing systems, and online engagement metrics to better target the right audiences at the right time.”
Data Catalog and Data Refinery features bring together the datasets that are in different formats in existing systems, third-party sources, and on the cloud. These further apply the machine learning to datasets for ingesting them to AI apps. The Data Catalog and Data Refinery use metadata to ensure that the sensitive data stays secure.
“The key to AI starts with a strong data foundation, which turns the volume and velocity of incoming data from a challenge into an asset,” said Derek Schoettle, General Manager, IBM Watson Data Platform. “For companies to innovate and compete with AI, they need a way to grasp and organize data coming in from every source, and to use this complete index of data as the backbone of every decision and initiative.”
In addition to this, IBM said that Analytics Engine is now generally available to separate the storage of data from the existing information, which will accelerate the feeding of data into apps. It will also make sharing and building apps with large datasets easier for developers and data scientists.
Along with the improved Data platform, IBM also advanced its Unified Governance Platform which now offers better visibility and management tools for clients’ global data.