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Infochimps Leading New Category of Intelligent Applications

This new category is more than Business Intelligence, and more than just predictive analytics

Back in September, I briefly mentioned a new generation of data-driven applications, which I also refer to as intelligent applications (a new cloud category and era being led by Infochimps). We recently made a formal announcement of our new Enterprise Cloud for Big Data, powering intelligent application development.

Now Forrester is the first analyst group to reinforce this new category – a category that is more than Business Intelligence, and more than just predictive analytics.

“Forrester uses the term ‘smart computing’ to define apps that, for instance, provide direct access to data for decision-making. It also includes data analytics and business intelligence in the category.”

Intelligent applications will fuel a component of the software market to the tune of $41 billion in 2013 (out of a total software market of $542B), increasing to $48 billion in 2014. There is a turning point beginning this year, where application development will begin to incorporate real-time stream processing and analytics along with ad-hoc query and batch analytics to create more sophisticated, interactive, intelligent web and mobile applications.

With the proper cloud infrastructure, companies can accelerate their development of smart computing apps, creating new SaaS products for their customers (B2C), and for other businesses (B2B).

One of the most interesting perspectives from Forrester’s report has to do with the leading intelligent application categories (below):

  • Enterprise Vertical Applications: $51B
  • Enterprise Process Applications: $118B
  • Information Management Applications: $28B
  • Desktop Applications: $32B

The big (data) question is how these categories are affected through the combination of CLOUD and BIG DATA technologies, moving forward?

Also, many debate whether a few companies will corner the market with intelligent vertical SaaS applications, or whether enterprises will compliment SaaS applications will a large number of custom developed applications which leverage their internal domain expertise.

I suspect that because Big Data is still so new, enterprises will need to create value from their data by first launching new internally-generated data-driven applications.

If you were one of many application developers within an enterprise, did you resist new technologies like javascript and HTML5 in the past? Why would creating data-driven or intelligent applications with Big Data technologies be any different? Justin LaFayette says it well here when he says that the future of Big Data is apps, not infrastructure:

“However the largest wave of Big Data value creation is still to come and it will focus on exploiting the infrastructure to create new applications that analytically optimize business processes.”

What do you think?

More Stories By Jim Kaskade

Jim Kaskade currently leads Janrain, the category creator of Consumer Identity & Access Management (CIAM). We believe that your identity is the most important thing you own, and that your identity should not only be easy to use, but it should be safe to use when accessing your digital world. Janrain is an Identity Cloud servicing Global 3000 enterprises providing a consistent, seamless, and safe experience for end-users when they access their digital applications (web, mobile, or IoT).

Prior to Janrain, Jim was the VP & GM of Digital Applications at CSC. This line of business was over $1B in commercial revenue, including both consulting and delivery organizations and is focused on serving Fortune 1000 companies in the United States, Canada, Mexico, Peru, Chile, Argentina, and Brazil. Prior to this, Jim was the VP & GM of Big Data & Analytics at CSC. In his role, he led the fastest growing business at CSC, overseeing the development and implementation of innovative offerings that help clients convert data into revenue. Jim was also the CEO of Infochimps; Entrepreneur-in-Residence at PARC, a Xerox company; SVP, General Manager and Chief of Cloud at SIOS Technology; CEO at StackIQ; CEO of Eyespot; CEO of Integral Semi; and CEO of INCEP Technologies. Jim started his career at Teradata where he spent ten years in enterprise data warehousing, analytical applications, and business intelligence services designed to maximize the intrinsic value of data, servicing fortune 1000 companies in telecom, retail, and financial markets.

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