by Ron Batra, January 2014
The past decade has seen a rapid rise of new technologies. As these technologies get established and advance in acceptance and maturity, interdependence among them is going to a key critical success factor. Let us take a quick look at the top three key technologies in consideration.
2014 will be a big tipping point time for cloud computing characterized by strong gains in Infrastructure as a Service (IaaS), Platform as a Service (PaaS) and Software as a Service (SaaS) delivery models accompanied by advancing strength in cloud systems management, tooling, and big data. The significant investment made over the years in on-premise models will drive hybrid cloud deployments as businesses find efficient ways to inter-operate and scale their cloud and non-cloud models.
2013 was a big year for decision makers to absorb the potential of big data as a lever for competitive advantage. From a business view, organizations will have to drive the value proposition of such efforts—whether it means direct monetization of data points and streams or using big data to improve products and offers. From a technology perspective, understanding of the technology architecture—data collection, the co-existence of SQL and No SQL databases, Hadoop, and analytics and visualization—will continue to increase.
Fluid and flexible business models and technology architectures with a high degree of interoperability will differentiate businesses that can realize the full potential of big data, cloud computing and IoT.
This is relatively a new but very fast-growing area. Event-driven architectures and sensor-based communications have the potential to explode the traditional boundaries of computing in uniquely innovative ways--whether it involves a tractor on a farm measuring yields or a transportation network tracking goods as they pass through different temperature zones. IoT and M2M have the potential to create literally millions of data points.
As these new technologies make their way into the enterprise, a key point to remember is that the typical applications that run today in the enterprise—front office, back office, e-commerce—are not being replaced, but rather complemented. Thus, integration and interoperability will drive convergence at many levels, since it would be highly inefficient to create computing silos.
Convergence will likely occur in the following areas:
Ron Batra is a director of Cloud Product Development at AT&T and an Oracle ACE Director.
Fluid and flexible business models and technology architectures with a high degree of interoperability will differentiate businesses that can realize the full potential of big data, cloud computing and IoT in 2014. Without proper planning, organizations may tend to create computing silos and then worry about integration and convergence—a move that could prove very expensive.