Planning first Artificial Intelligence or Machine Learning initiative can be a daunting task for a business leader because of cultural mindset, resource and technology constraints. While providing machine learning development and artificial intelligence consulting to enterprises and startups we have realized that the biggest worry is nothing else but of a failure. Therefore, a successful first initiative will impart necessary momentum and establish credibility towards creating data driven enterprise.

PoC (Proof of Concept) in such emerging technology areas is generally right & cost-effective path to show quick wins and build stakeholder confidence. Valiance partners with business leaders like you to craft and execute POC’s in emerging AI areas. Having learnt from multiple success & failure we know what works and where things can fail thereby bringing our learning to make sure you get desired outcome.

How does a Machine Learning PoC look like?

Narrow & well defined problem statement

How do I improve my sales conversion? No
Who are my best prospects to move from stage 1 to stage 2? Yes

Less but representative dataset

Doing machine learning on TB’s of data is possible but needs multiple machines and more time. Keep small datasets in order of tens of GB’s

Less of data integration workloads

More data you feed better the algorithms. However, it takes time & effort to ingest and prepare different datasets for analysis. It makes sense to select more impactful datasets and add incremental pieces later

Well understood and agreed technical parameters of success

These could be accuracy, precision, recall, lift charts etc.

Interested in applying Machine Learning to business decisions?

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