Years ago, the future was much opaquer. Now, it’s tangible, visible and rising up all around us. It seems to be taking shape in real time, much of which can be attributed to innovation in data and infrastructure, across their respective and collective aspects.
As innovation in these areas accelerates, it rapidly gains in capabilities, particularly for enterprises who have reached a point of digital maturity, ensuring access to quality data and accelerated infrastructure at scale. Yet, for others, their data and analytics initiatives are still lacking. As their data continues to expand, they do not have the right building blocks in place to grow and change with it. In fact, a recent McKinsey survey of more than 500 executives found that more than 85% acknowledged they are only somewhat effective at meeting the goals they set for their data and analytics initiatives.
With both growing and mature data sets, the effects of enterprise deep learning and machine learning can be significant – automating processes, identifying trends in historical data and uncovering valuable intelligence that strengthens fast and accurate decision-making abilities – all of which can be used as a virtual crystal ball to refine predictions about the future and potentially its successes.
To do this correctly, companies should look at using their data analytics capabilities to not only improve their core operations, but also to launch entirely new business models and applications. First, they must solve for problems in the way data is generated, collected, organized and acted upon. Because, while the mechanics are important, the ultimate value of data doesn’t come from merely collecting it, but acting on the insights derived from it.
The key lies in a fundamental mind shift of evolving your organization into a technology company with a data-first mentality.
In my experience, there are three certainties for every company:
1. Your data is going to grow faster than you expected.
2. The use cases for this data are going to change.
3. The business is always going to expect outcomes to be delivered faster.
The first step in the journey to becoming a technology company is simplifying the infrastructure by moving from legacy data systems to a more nimble, flexible modernized data architecture that can bridge both structured and unstructured data to deliver deeper insights and performance at scale. Once consolidated onto a single, scalable, analytics platform, the pace of discovery and learning can be accelerated to drive a more accurate strategic vision for both today and tomorrow.
At Dell EMC, we are dedicated to bringing new and differentiated value and opportunities to our customers globally. We are always looking toward current and future trends and technologies that will help customers better manage and take advantage of their growing data sets with deep learning and machine learning at scale.
Dell EMC Isilon does just that.
As an industry leading scale-out network-attached storage, designed for demanding enterprise data sets, Isilon simplifies management and gives you access to all your data, scaling from tens of terabytes to tens of petabytes per cluster. We also deliver all-flash performance and file concurrency up to the millions, allowing us to support the bandwidth needs of 1000’s of GPUs running the most complex neural networks available. As a bonus, we accomplish this this very economically, with over 80% storage utilization, data compression and automated-tiering across flash and disk in a single cluster. Finally, Isilon based AI increases operational flexibility with multiprotocol support, allowing you to bring analytics to the data to accelerate AI innovation with faster cycles of learning, higher model accuracy and improved GPU utilization.
In an era of change and ongoing data expansion, creating a crystal ball for your business is not a matter of luck or fortune telling. It takes place through a focused strategy for doing more with the data you have at hand. By offering innovative new ways to store, manage, protect and use data at scale, Isilon moves customers that much closer to both becoming technology companies and future proofing their businesses.
With both growing and mature data sets, the effects of enterprise deep learning and machine learning can be significant – automating processes, identifying trends in historical data and uncovering valuable intelligence that strengthens fast and accurate decision-making abilities – all of which can be used as a virtual crystal ball to refine predictions about the future and potentially its successes.
To do this correctly, companies should look at using their data analytics capabilities to not only improve their core operations, but also to launch entirely new business models and applications. First, they must solve for problems in the way data is generated, collected, organized and acted upon. Because, while the mechanics are important, the ultimate value of data doesn’t come from merely collecting it, but acting on the insights derived from it.
The key lies in a fundamental mind shift of evolving your organization into a technology company with a data-first mentality.
In my experience, there are three certainties for every company:
1. Your data is going to grow faster than you expected.
2. The use cases for this data are going to change.
3. The business is always going to expect outcomes to be delivered faster.
The first step in the journey to becoming a technology company is simplifying the infrastructure by moving from legacy data systems to a more nimble, flexible modernized data architecture that can bridge both structured and unstructured data to deliver deeper insights and performance at scale. Once consolidated onto a single, scalable, analytics platform, the pace of discovery and learning can be accelerated to drive a more accurate strategic vision for both today and tomorrow.
At Dell EMC, we are dedicated to bringing new and differentiated value and opportunities to our customers globally. We are always looking toward current and future trends and technologies that will help customers better manage and take advantage of their growing data sets with deep learning and machine learning at scale.
Dell EMC Isilon does just that.
As an industry leading scale-out network-attached storage, designed for demanding enterprise data sets, Isilon simplifies management and gives you access to all your data, scaling from tens of terabytes to tens of petabytes per cluster. We also deliver all-flash performance and file concurrency up to the millions, allowing us to support the bandwidth needs of 1000’s of GPUs running the most complex neural networks available. As a bonus, we accomplish this this very economically, with over 80% storage utilization, data compression and automated-tiering across flash and disk in a single cluster. Finally, Isilon based AI increases operational flexibility with multiprotocol support, allowing you to bring analytics to the data to accelerate AI innovation with faster cycles of learning, higher model accuracy and improved GPU utilization.
In an era of change and ongoing data expansion, creating a crystal ball for your business is not a matter of luck or fortune telling. It takes place through a focused strategy for doing more with the data you have at hand. By offering innovative new ways to store, manage, protect and use data at scale, Isilon moves customers that much closer to both becoming technology companies and future proofing their businesses.
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