Simplifying the deployment of data-driven business innovations

Simplifying the deployment of data-driven business innovations

Simplifying the deployment of data-driven business innovations
A data-driven culture is essential to business success in today’s world. To encourage data-driven innovations, organizations must make deepening investments in data science, data engineering, cognitive computing, and other core competencies. Just as important, organizations should be fostering collaborative cultures within which the professionals who engineer and model the data are in constant touch with those who understand the applications and own the business outcomes being sought.

If everybody in the organization collaborates in the development of data-driven applications, the competitive advantages can be considerable. Going forward, the businesses that truly disrupt their industries will be those who empower all of their personnel with open platforms, tools and methodologies for data-driven app development.

In that regard, this week’s announcement from IBM and our partners represent a key industry milestone. The key announcements were several:

Cloud platformBluemixApache SparkIBM Watson AnalyticsIBM Data Science Experience : IBM Project DataWorks with Watson is a new cloud-based solution that simplifies and automates data-driven business innovation. It provides a self-service environment for teams of data scientists, data engineers, and other professionals to collaboratively develop, iterate, and deploy sophisticated AI, cognitive computing, machine learning, and other advanced analytics. It enables data professionals to rapidly discover, collect and organize data from all sources; share common datasets and models; and ensure strong data security and governance. It includes role-focused user experiences, which enable individual data professionals—such as data scientists, data engineers, and application developers–to put data to work in an environment built for their particular skill levels and responsibilities. It also includes solution Blueprints, which package the integration and smarts for specific scenariossuch as data lakes—thereby simplifying development and speeding time to value.

Read Also:
Building a Smart Data Lake While Avoiding the ‘Dump’

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