Cloud, AI and integration for today’s digital economy

By Jonathan Hassell

Consider a future in which you have a system smart enough to access all of the data available to your organization and stream it into a highly capable cognitive engine. Moreover, consider a future in which your competitors have access to the same system.

What would this make possible for your business? What new insights could you glean from analyzing data from different places in a way your organization has never done before? What innovations could you, as the CIO, deliver to your business to solve old challenges with new approaches?

CIOs today are tasked with several challenges that, quite honestly, are the same challenges they faced two decades ago:

  • How can IT and business teams work together in a way that leads to new big ideas?
  • What tools and processes can IT give those teams so that they can build prototypes and evaluate their ideas in a complete way without taking away from production resources and the critical business systems that must keep going at all costs?
  • How can IT maintain security and high availability of their data and applications while simultaneously opening them up for broader access and integration?

Even though the challenges are the same, cloud and analytics have brought new approaches that clever CIOs can use to deliver innovation and insight to their organizations and users.

Many CIOs are using a framework to guide the development of teams — made up of business users, IT professionals and developers — so that an organized, repeatable process emerges to bring new value-added products and services to both internal and external customers, as well as iterating over them to improve and further refine them. These same CIOs are also investing in a flexible platform that teams can use to develop solutions that are populated with data from all over the enterprise, likely based in the cloud for easier iterating and further development. They are then making sure that platform has the necessary agile tools and services to ensure continuous integration of new features and services.

Finally, these CIOs develop a comprehensive integration strategy that connects cloud applications to the business logic, data and analytics residing in on-premises systems and partner ecosystems, allowing them to deliver personalized, engaging digital experiences.

That integration strategy piece is a key development in what's possible with today's technology solutions and this digital economy. Watch this video to learn more about IBM's capabilities in fueling a capable cognitive system that reasons, learns and understands by using data brought together from multiple available data sources.

This article was originally published on Mobile Business Insights.