Resiliency in the Era of Cognitive Computing
In the cognitive era, organizations are using technology to process data more quickly than ever and correlate results that could be difficult to imagine in the past. These capabilities are crucial for resiliency.
Cognitive computing is changing how industries do business by providing access to data that enables critical decision-making, reduces time frames for key business deliverables and ensures products get to market efficiently and effectively.
A World Without Resiliency
If cognitive systems and the data they use were to become unavailable for days, weeks or longer, the impact could be massive. For instance, in the legal industry, court dates could be pushed out for months because lawyers would have to do research manually. In the health care industry, time to market for critical medications could be significantly delayed, affecting people’s lives. In the shipping industry, products could be delayed getting to stores if the sensor data that alerts companies of upcoming maintenance issues cannot be relied upon or if the cognitive applications that process this data are unavailable.
The cognitive era is pushing companies across all industries toward even lower recovery time objectives (the time organizations can work without IT) and recovery point objectives (the amount of data that can be lost). In many cases, continuous availability is becoming vitally important. Recovery from tape is not realistic when organizations are working with real-time data transmissions and actively making business decisions based on the computations from key cognitive applications.
A New Picture of Resiliency
But why stop at setting new objectives for systems and data availability? What if companies could use all this data and cognitive computing power to change how people think about resiliency?
For instance, what if you could use both historical and current weather data to determine the probability of a data center outage? You could then decide to failover the data center during a more convenient maintenance window before a disaster strikes.
Or what if, rather than deciding the top three most likely disaster or business continuity scenarios to plan for, you could use a cognitive system at the time of a disaster to update the disaster recovery, business continuity and crisis management plans in real time based on the actual disaster event?
Or what if you could correlate real-time events in the data center, such as disk capacity and device temperature, to the probability of their potential future impact and predict outages before they occur? This would provide you with the opportunity to mitigate technical issues before they become an issue.
Society is becoming more dependent on cognitive computing every day — even if organizations are not yet aware of it. People expect these systems to be available so they can access money at the bank, buy groceries at the store and fuel up their vehicles. It’s up to those in the resiliency profession to help these companies be in a position to continuously deliver these services.