Business Operations Data Analytics AI Strategy Data science Digital Transformation

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Est. reading time: 2 minutes
Author: Mia Hatton

Enterprise cognitive computing is the application of AI to enhance business operations. It has a wide range of applications including call handling, fraud detection and maintenance scheduling. ECC systems automate repetitive tasks and improve efficiency through fast search and information processing. Despite many business executives reporting high expectations for ECC systems in 2017, uptake has since been low. Furthermore, around half of surveyed executives that have introduced ECC systems report that their impact on their business performance has also been low.

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Mia Hatton

Budding data scientist with an entrepreneurial and science communication background.

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Enterprise cognitive computing is the application of AI to enhance business operations. It has a wide range of applications including call handling, fraud detection and maintenance scheduling. ECC systems automate repetitive tasks and improve efficiency through fast search and information processing.

Despite many business executives reporting high expectations for ECC systems in 2017, uptake has since been low. Furthermore, around half of surveyed executives that have introduced ECC systems report that their impact on their business performance has also been low.

This low uptake and impact of ECC systems among business leaders could be put down to a lack of preparedness. To address this issue, MIT Sloan Management Review developed a framework for the "foundations of ECC competence", consisting of five capabilities and four practices.

Businesses that had successfully generated values from ECC systems shared five common capabilities. These are data science competence for effective data management and AI algorithm development; business domain proficiency to identify areas of potential value from process automation; enterprise architecture expertise to effect wide-ranging changes to business policies and practices driven by the ECC insights; an operational IT backbone, to store the data and integrate the ECC algorithms into existing IT infrastructure; and digital inquisitiveness, to question and interpret the outputs of the ECC algorithms.

With these five capabilities in place, businesses should adopt four key practices in order to apply the capabilities:

  1. Clearly define what your ECC systems will do and how it will improve these processes (use cases).
  2. Keep the ECC system up-to-date by building reporting into the algorithm and re-training when necessary.
  3. Have an interdisciplinary team collaborating on the development and maintenance of the ECC system.
  4. Build enthusiasm for ECC into your company culture, and ask employees to suggest ways in which ECC applications can support them.

Key Takeaways

Enterprise cognitive computing can add value to your business, but it is important to manage expectations and lay down a strong foundation of capabilities before introducing ECC systems to your business. Businesses who have succeeded in generating value from ECC systems exhibit five crucial capabilities. With the five crucial capabilities in place, follow the four practices outlined to ensure that ECC systems generate value for your business.

The five capabilities:

  • data science competence
  • business domain proficiency
  • enterprise architecture expertise
  • an operational IT backbone
  • digital inquisitiveness

The four practices:

  • Develop use cases and define their values
  • Keep the ECC system up to date
  • Encourage collaboration
  • Foster enthusiasm

Check out the full article at MTSloan Management Review

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