According to a report from the IBM Institute for Business Value, 89% of cognitive computing adopters are more profitable and more innovative than their industry peers. That’s an incredibly strong argument for embracing – or if you are not yet ready, exploring – cognitive computing. Think of the impact greater profits and innovation could make on your organization. Could it position you to be a disruptor in your industry? Could you finally beat the competitor with whom you’ve been neck-and-neck with for years? Would it enable you to expand into new markets? Or give back more to your employees?
In this report, Analytics: Dawn of the Cognitive Era, IBM found that 74% of organizations “are pervasively using at least one type of prescriptive analysis. And once a majority of organizations achieve a widespread use of an analytic level, the competitive advantage evolves to the next level of analytic maturity. Competitive differentiation is now greater for those using the fifth level: cognitive.
Interestingly, this research found that cognitive computing is being used in each of the 19 industry groups surveyed, and across all geographic regions. Those using cognitive are outperforming their peers in a number of ways, including:
- Revenue creation
They are also using cognitive systems in a number of different ways, such as for knowledge distribution, research and product development, external constituent and customer management, and sales and service activities. The survey found that most of these organizations, however, started their cognitive journey with a specific use case.
To achieve success with cognitive computing, organizations need more than just technology, data and analytics. According to the report, entry into the cognitive era also “requires a corporate culture and mindset ready to engage with the science of data and strong governance to create agility and speed … a cognitive environment is an analytic evolution, building on the analytics of today to create the marketplace of tomorrow.”
Download this report and you’ll learn how to:
- Establish an organization cornerstone for cognitive
- Build a solid cognitive data foundation, and
- Focus on the skills of the future
Whether you are ready to evolve your use of analytics into the cognitive era or are just starting your research on cognitive, provides practical steps (as well as mini case studies) on how to begin your journey into cognitive computing.
Read more blog posts on cognitive computing:
What the Heck is Cognitive Computing?
New Research: Cognitive Computing will be a Game-Changer for Marketing