Infochimps Leading New Category of Intelligent Applications

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.”

Rishidot Research’s Krishnan Subramanian believes the same. See his recent blog on Big Data At The Core of Platform Services or his presentation on “Intelligent Platforms“.

What do you think?

Related posts:

Big Data Predictions for 2013

Era of Analytic Applications – Part 1

Era of Analytic Applications – Part 2

Big Data’s Fourth Dimension – Time

Enterprise Big Data Cloud

New Cloud Ecosystem

The Data Era – Moving from 1.0 to 2.0


Jim Kaskade

Jim Kaskade is a serial entrepreneur & enterprise software executive of over 36 years. He is the CEO of Conversica, a leader in Augmented Workforce solutions that help clients attract, acquire, and grow end-customers. He most recently successfully exited a PE-backed SaaS company, Janrain, in the digital identity security space. Prior to identity, he led a digital application business of over 7,000 people ($1B). Prior to that he led a big data & analytics business of over 1,000 ($250M). He was the CEO of a Big Data Cloud company ($50M); was an EIR at PARC (the Bell Labs of Silicon Valley) which resulted in a spinout of an AML AI company; led two separate private cloud software startups; founded of one of the most advanced digital video SaaS companies delivering online and wireless solutions to over 10,000 enterprises; and was involved with three semiconductor startups (two of which he founded, one of which he sold). He started his career engineering massively parallel processing datacenter applications. Jim has an Electrical and Computer Science Engineering degree from University of California, Santa Barbara, with an emphasis in semiconductor design and computer science; and an MBA from the University of San Diego with an emphasis in entrepreneurship and finance.

5 thoughts on “Infochimps Leading New Category of Intelligent Applications

  1. Nice perspective! I like the fan out visualization of data driven applications.

    Don’t you think that security is no longer a ‘middleware’ or ‘os-specific’ category *only*? Its very much in the gamut of application space also. As the applications are driven by data, so is security when it comes to data access, security of data and preventing data breaches. To me – it should also show up under ‘Enterprise process applications’ say ‘End to end data security’ or something that say a CSO would be responsible for.

  2. Jim, totally agree with you that smart computing is the way to go forward. As long as it is more than just a marketing phrase. There are great tools like your platform and our ( Machine-learning-as-a-Service that enable developers to make smarter apps and do it much quicker than in the past. And then there is the vast amount of data that is coming available. Looking forward to how it all comes together in creating new value.

  3. Hey Shaloo!

    Agree that Security as a Service is an important category. I’m a big believer in this…see my thoughts here. I bundled SIEM as a Service into the “Logging as a Service”. It should read “Logging and SIEM as a Service”. I can clarify.

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