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Artificial Intelligence




If rogue data is the archenemy, the bottleneck is its bunker.


Although 'data' in its many manifestations is actually our most powerful weapon moving forward, it sometimes feels like data is the enemy.  Data brings with it the promise of growth and competitive edge; whether you choose to embrace this or not -  it's our way forward.  The problem is that in order to unlock its true potential, data needs to be both understood - deeply -  and controlled (and who has time for this?).  




After sitting in this morning's ridiculous traffics for two hours, I had plenty of time thinking about bottlenecks , specifically those we suffer from in the world of data.


So, data bottlenecks have always been around, but I bet we all miss the days, five or ten years ago, when a bottleneck was just the residual effect of adding a new piece of software in the service of business and working through its implementation.  So things slowed down for a while and service may or may not have been disrupted. In hindsight, these historical bottlenecks look like a walk in the park. Today bottlenecks have evolved along with the data, and they are much more significant.


Data Bottlenecks today are not just IT "blockages" that need to be worked through, they are true obstacles to innovation and growth, in some cases, also to our progress as humans, and these bottlenecks require a far more sophisticated attack plan if they are to be annihilated or at least taken prisoner. Companies need to adopt a mindset that will see them safely into the future so that the company itself does not become its own bottleneck. The mindset will enable enterprises to transform its technology across the board, from a dark and festering sore into a source of power and enlightenment.



What can organizations do to kill the bottleneck?


If you would have asked me a couple of years ago, my answer would be pointing toward the storage layer and the benefits from being able to store, uncompromisingly, every byte that comes in hand. But what enterprises have to know is that analytics layer is the major data bottleneck, and namely, the deep dependency on humans.





Empowered today by Artificial Intelligence, automated data analysis is a strategy not a tactic. Placing AI-powered analysis at the foundations of the digital organization's navigation process is enabling those forward-thinking players to overcome bottlenecks and to prevent their recurrence.


AI / cognitive operational functionality is providing companies with the necessary visibility to assess and manage the health of the technology powering their business services.


Smart machines are providing digital enterprises with the level of correlation required to isolate, diagnose, and solve operational issues. Bottlenecks are deemed temporary challenges that can and will be unraveled before they reach the end user. The end of the death-by-bottleneck era in IT, a small part of our world but with great impact, is here, and I can finally fathom the end of the traffic jam on my way.



Loom Systems delivers an AIOps-powered log analytics solution, Sophie, to predict and prevent problems in the digital business. Loom collects logs and metrics from the entire IT stack, continually monitors them, and gives a heads-up when something is likely to deviate from the norm. When it does, Loom sends out an alert and recommended resolution so DevOps and IT managers can proactively attend to the issue before anything goes down.
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