Cognitive Computing

Cognitive Computing offers a humanized approach to continuously improving advanced technologies, such as machine learning and artificial intelligence. By infusing cognitive thinking into how data is processed and interpreted at a deep level, teams are better equipped to leverage their technology to drive business outcomes.

The systems organizations rely on are getting ever more complex. Putting a human perspective on data has become paramount to remaining competitive and staying on top of all these changes. Cognitive Computing has advanced the way companies rely on technology by improving both internal and external experiences at a brand level.

Organizations no longer have to center their hopes and dreams on artificial intelligence (AI) as a driving force behind major organizational changes. With cognitive computing and the proper frameworks, companies can better uncover places to assimilate data and align the findings to the appropriate processes and organizational materials.

Laying an Intelligent Foundation

The more insights an organization has, the faster teams can move forward strategically. Still, despite the flood of data pouring into businesses today, teams struggle to leverage what’s out there to formulate strategies and roadmaps.

Putting technology in motion to collect data is a means to an end. Still, many organizations stop at this step, assuming the programs will extract meaningful insights. In reality, this is just the beginning. To adapt to a fast-paced market, companies must also implement processes to clean and model data so that teams can take the findings and translate them into something valuable to the business. Without cognitive computing, it’s nearly impossible to fulfill the top tier on this hierarchy and predict future behaviors.

A Guiding Framework for Cognitive Computing

Without a guiding framework, such as StoryVesting, in place for cognitive computing, there will be a misalignment in the 3 P’s — people, processes and platforms. Getting these 3 P’s into alignment to draw insights from data enable teams to build more compelling experiences.

The StoryVesting framework brings together employee and customer worlds to find alignment between what’s happening in the marketplace and what’s happening in an organization. When taking data and applying consumer psychographics, organizations can better blend the why of the organization with why consumers buy to build out behavior-driven retention models.

When approached through this lens, organizations can transform the potential of predictive analytics into tangible business results. Rather than seeking answers to  yesterday’s questions, cognitive computing equips organizations to take a predictive and insights-driven stance, allowing teams to make less risky decisions faster.

Developing an Insights-Centric Organization

Building data models is just the first piece in a much larger puzzle. Knowing how to interpret the findings and leverage them across an organization is also crucial. In applying cognitive computing, organizations pair data science with analytical rigor, bridging the gap between technology and human insight.

For organizations to get tangible value from AI or machine learning models, teams must operate these models through a framework rooted in behavioral psychology and agile process improvement. By using cognitive computing capabilities, teams can use these assets more effectively and make decisions more confidently. As a result, teams are better equipped to achieve organizational goals and attributable and transformative influence from modern technology.

Reaching Digital Maturity

There’s no peak to digital maturity. It’s critical to apply human intelligence to advanced technologies consistently. To unlock the potential of digital transformation, teams must continuously advance up the ranks to become fully vested in the operations of a data-driven, insights-centric organization.

Customer Experience (CX) Terms