AI, Analytics and The Future of Your Enterprise

a smarter world

Everybody’s talking about big data. Huge promises have been made about its role in driving enterprises forward. But few organizations are realizing its true benefits.

For those able to put data to good use, there’s much to be excited about. Data is transforming not only businesses, but entire industries, and the world as we know it. Today organizations are harnessing big data to do things like transform healthcare, provide eyesight for the visually impaired, and bringing us closer to autonomous cars:

  • AI startup Enlitic is using data to help doctors make faster and more accurate diagnosis –allowing for quicker treatment decisions and potentially saving lives.
  • Aipoly and Microsoft’s Seeing AI are smartphone apps that use image recognition to help the blind, visually impaired, and color blind understand and interact with their surroundings.
  • Another AI startup Drive.ai has partnered with Lyft on a pilot program for its deep learning approach to self-driving vehicles.

Of course, none of these technologies would exist if not for the ‘Big Bang of Intelligence’, in which new algorithms, parallel systems and big data came together to unlock a world of fresh opportunities. Together, they are powering the fourth industrial revolution.

Yet for many, the effects of this revolution are still to be felt. Organizations are getting lost in big data – struggling to distinguish the forest from the trees, as they seek to extract useful intelligence. And legacy infrastructure is holding their data back, hindering innovation and wasting precious time and resources.

So how do we move from conversation, to concrete results? Your data is your biggest asset. It’s time to get the most out of it.

Tapping into the power of big data can be daunting. So we’ve looked at the strategic areas your organization can focus on. Our overview of emerging trends revealed three challenges of big data, and opportunities therein:

  1. An overwhelming amount of data to analyze
  2. A proliferation of powerful, yet complex, tools and technologies
  3. A need for new skillsets and infrastructure built around big data

It’s vital that organizations build competency in these areas. The future belongs to those able to get the best out of their data.

We’ve seen industrial revolutions happen every 50-100 years. With each revolution, those slow to transition have become irrelevant. Today, the fourth industrial revolution is upon us, powered by the rapid rise of artificial intelligence (AI) and data analytics.

To thrive in a new, data-centric world, organizations will need the right skills, approach and tools including a modern data platform and storage infrastructure. Storage is where your data lives. It delivers data when you need it at the speed of your business. And it needs to be built for the new era of big data.

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Author: Pivotal Customer