IT needs software that can do the nuts-and-bolts adjusting for itself — not just to enable people to focus on higher value tasks, but also to create lower cost, more reliable, and more adaptive information infrastructures.
To address this growing concern, developers are focusing on next-generation information infrastructures that will, in essence, be intelligent. This new technology will “understand” how to optimally adapt to system and data process changes, and will make necessary adjustments automatically and thus much more quickly than infrastructures that rely heavily on human intervention.
As a result, fewer systems and solutions will break or unnecessarily slow down. And more changes will be able to be effected without major impacts on systems, users, time capital and personnel budgets. This is because change will revolve around the infrastructure, but the infrastructure will stay “glued-in,” adapting to whatever happens around it in terms of new information demands, platforms, standards and users.
Moreover, next-generation infrastructures will have the ability to learn as they go. This will help ensure their optimal performance, and the enterprise’s agility, over time.
Data integration (DI) resides at the nexus of this agility. Without data integration, there is no information infrastructure, not today, not tomorrow. DI moves, consolidates and transforms the most fundamental IT building block — data. It feeds increasingly voracious business intelligence (BI) systems, executive information systems, and all kinds of data warehouse and data store-based initiatives. It is integral to real-time enterprise computing, ZLE (zero latency enterprise), eCRM, business activity monitoring (BAM), and other high-value initiatives. And it will be critical to RFID as the way to amalgamate and manage the projected torrents of data.