The
eCommerce business cannot survive without incorporation of Self Learning
Technologies (SLTs) due to changes in scope of decision making from years and
months to hours and minutes. Self Learning Technologies can be adopted with
budget as minimum as $10000 and budget as big as $1000000.
There are various ways to implement SLTs from as simple as hiring a freelancer on temporary engagement basis, crowdsourcing, renting the Machine Learning-as-a-Service (MLaaS) and as complex as buying SLT solution, ML cloud services and in-house SLT development. The allocation of human resources depends on approach of SLT implementation chosen. For simple SLT implementation, a data scientist and digital marketer may suffice but for complex SLT implementation, a dedicated team of data engineers, data scientists, business analytics professional and digital marketers should be deployed.
The SLT deployment may take three months to one year or more which again depends on what kind of SLTs are being implemented. Simple and intermediate SLTs implementation may take three months to nine months and complex SLTs implementation may take twelve months to eighteen months. The decision of SLT implementation is very critical.
For simple to intermediate SLT implementation, crowdsourcing and MLaaS are better options and for complex SLT implementation, renting MLaaS to buying SLT Solutions from Microsoft, Google, IBM etc. or build SLT solution in-house are suggested. If company wants to keep the SLT intellectual property confidential, limited to itself and to do full blown business transformation; it should go build SLT solution in-house or if company wants to deploy SLT implementation faster and battle tested SLT solution without actually owning it; the company can choose buy SLT solutions from reputed vendors.
There are various ways to implement SLTs from as simple as hiring a freelancer on temporary engagement basis, crowdsourcing, renting the Machine Learning-as-a-Service (MLaaS) and as complex as buying SLT solution, ML cloud services and in-house SLT development. The allocation of human resources depends on approach of SLT implementation chosen. For simple SLT implementation, a data scientist and digital marketer may suffice but for complex SLT implementation, a dedicated team of data engineers, data scientists, business analytics professional and digital marketers should be deployed.
The SLT deployment may take three months to one year or more which again depends on what kind of SLTs are being implemented. Simple and intermediate SLTs implementation may take three months to nine months and complex SLTs implementation may take twelve months to eighteen months. The decision of SLT implementation is very critical.
For simple to intermediate SLT implementation, crowdsourcing and MLaaS are better options and for complex SLT implementation, renting MLaaS to buying SLT Solutions from Microsoft, Google, IBM etc. or build SLT solution in-house are suggested. If company wants to keep the SLT intellectual property confidential, limited to itself and to do full blown business transformation; it should go build SLT solution in-house or if company wants to deploy SLT implementation faster and battle tested SLT solution without actually owning it; the company can choose buy SLT solutions from reputed vendors.
For more detail on how to implement self learning technologies (SLTs) in eCommerce, please click link below---
https://imojo.in/e9s5oc
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