Journey to AI:
Operationalizing AI
for business value
Prepare for the complexities of implementing AI at an organizational level
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Operationalizing AI for business value
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Recognize AI opportunities
Move beyond proof of concept
Drive meaningful change across your organization
© C2 International 2021
There is nothing more frustrating than getting stuck in a proof-of-concept phase while developing an AI.
In this white paper, Grady Booch helps you get re-acquainted with the possibilities and limitations of AI and Data Analyst Mara Pometti gives you a methodology for moving ahead with operationalizing AI in your organization at scale.
The journey to building AI enterprise solutions
is fraught with challenge
As Chief Scientist for Software Engineering at IBM Research, Grady leads IBM’s research and development for embodied cognition.
Having originated the term and the practice of object-oriented design, he is best known for his work in advancing the fields of software engineering and software architecture.
As Lead Data Strategist at IBM where she uses design to define AI business solutions and reveal overlooked insights hidden in companies’ data.
Mara finds herself at the intersection of the technical and business realms, acting as a translator who bridges these two worlds through data design, translating AI and Machine Learning models into actionable knowledge and concrete business results.
