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.

 

Share it:
Share it:

[Social9_Share class=”s9-widget-wrapper”]

Leave a Reply

Your email address will not be published. Required fields are marked *

This site uses Akismet to reduce spam. Learn how your comment data is processed.

You Might Be Interested In

Tom Reilly Talks About Helping Companies Deal With Big Data

16 Feb, 2016

These are the early days for big data, and users of it can be overwhelmed by the challenges of analyzing, …

Read more

Data Engineering For Beginners

21 Oct, 2020

You can’t get away from learning about databases in data science. In fact, we need to become quite familiar with …

Read more

Battling superbugs with Big Data

6 Mar, 2017

Antibiotics that once cured ailments across the spectrum are now turning into a potential source of prolonged illness, disability and …

Read more

Do You Want to Share Your Story?

Bring your insights on Data, Visualization, Innovation or Business Agility to our community. Let them learn from your experience.

Get the 3 STEPS

To Drive Analytics Adoption
And manage change

3-steps-to-drive-analytics-adoption

Get Access to Event Discounts

Switch your 7wData account from Subscriber to Event Discount Member by clicking the button below and get access to event discounts. Learn & Grow together with us in a more profitable way!

Get Access to Event Discounts

Create a 7wData account and get access to event discounts. Learn & Grow together with us in a more profitable way!

Don't miss Out!

Stay in touch and receive in depth articles, guides, news & commentary of all things data.