Is Your Business Ready to Be A Cognitive Business?

When Your Business Thinks - You Out Think Your Rivals

You can start today. DIGINTEL’s Cognitive Technology assets built on IBM’s Watson engine is open for business on the cloud, with DIGINTEL services that let you integrate cognition into your company’s digital presence. But to create a true cognitive business, you’ll want to drive this deeper into your enterprise. Here’s how:

 

Five key dimensions

How the three capabilities of cognitive computing evolve will depend on five important dimensions. The evolution path and rate of advancement across these dimensions will impact the robustness of future capability.

Personalized interaction

Current cognitive systems are predominantly passive in nature and require that human beings initiate action to generate an output or response. Often this interaction is through text typed on a computer, mobile app or web portal. Future cognitive systems will increasingly enable enhanced natural interaction with users including voice and visualization. Future systems will become increasingly more interactive and engaging. Significant advancements have already been made to better understand users and deliver responses fit for the user’s specific locative and temporal context.

Learning

Current cognitive systems are predominantly trained systems (supervised learning). These systems rely upon humans with domain-specific subject matter expertise to train them. This process can be more labor intensive and time consuming. Future cognitive systems will adopt greater unsupervised learning, which will require much less human interaction in the system training process. The research community is actively looking to make breakthroughs in this area.

Sensing

Current cognitive systems primarily work with natural language text and require natural language processing capability for a particular language. Natural language processing capabilities for English and Western European languages are more advanced today. Future generations of cognitive systems will accommodate a variety of media beyond text (e.g., audio, image, video). Continued advancements in this dimension will be dependent on various disciplines of computer science (e.g., speech and image processing, pattern recognition).

Ubiquity

Cognitive systems are increasingly being deployed to be widely available and accessible over web portals, mobile apps and cloud. In the future, as the adoption of cognitive-based systems increases, they will eventually spread to become ubiquitous. This future could include a marketplace with millions of cognitive agents or avatars, driven in part by the explosive adoption of mobile devices, the IoT and the upsurge of machine-to-machine interaction. Tomorrow’s cognitive computing fabric will be interwoven into technology (such as social media), thereby touching our daily lives.

Scalability

Cognitive systems need to continue to increase in scalability to support wide applicability. In 2011, the version of IBM’s Watson system that beat the reigning champion on the U.S. television game show Jeopardy! required 90 IBM Power 750 servers. By January 2014, Watson was 24 times faster, had a 2,400 percent improvement in performance and was 90 percent smaller.14 In the future, cognitive systems may be offered as a fabric. IBM has already made its Watson technology available as a development platform in the cloud, which is spurring innovation and fueling a new ecosystem of entrepreneurial software application providers.15 WayBlazer, a travel inspiration, recommendation and planning platform that provides consumers with more personalized, relevant and valuable information, is one example of a partner realizing value in this ecosystem model. WayBlazer uses a standards-based cognitive cloud powered by IBM Watson technology to recommend targeted travel insights and commerce offers that are tailored and customized for each consumer’s experience.

 

The Future Evolution of Cognitive

The future of cognitive computing – both how it advances as a technology and the rates of adoption in the public and private sectors – will be greatly affected by external forces, as well as technology evolutionary paths and trends.

Six major forces

Six forces will influence the future of cognitive computing and affect the rate of adoption in both the public and private sectors.

 

“The degree of data sharing will likely impact the adoption of cognitive computing solutions; however, the technical side is fascinating. Policies can clearly impact technology but the hope is that the capability will still move forward.”

             – Dr. Manuela Veloso, Professor of Computer Science, Carnegie Mellon University