$10/min

Data, ML, and AI Strategy

New Arrival
Created 9 years ago in Technology / Other
Data, ML, and AI Strategy

Until recently, having a data strategy was a luxury. Building machine learning and artificial intelligence capabilities was something only a handful of companies with dreamy founders would invest in.

That is no longer the case.

Today, it is crucial for companies have a strong, coherent data strategy in sync with your product and technology strategies. Data (collection, processing, analytics, predictive modeling, experimentation, personalization) as an afterthought typically leads to extreme pains as soon as products start to mature.

At Intuit (fintech), BlueKai (data advertising), Siemens (healthcare), and especially at Level Up Analytics (data sci & eng) I've helped very companies and startups in social networking, education, payments, mobile, fintech, hedge funds, etc. answer critical questions:
-- what do our users really want? how do we get our products and services there?
-- how do we establish a continuous user feedback stream, with security, privacy, and compliance in mind, while having the ability to learn and adapt our products quickly
-- how do we do personalization (that's easy)? how do we do personalization at scale (that's difficult)?
-- what ML and AI capabilities do we need? what 3rd party capabilities can we use so we can focus on building our distinct value and not reinvent the wheel?
-- how is our data different and how can we turn it into an asset?
-- can/should we monetize our data? How can we do that, while being a good corporate citizen.
-- building the ability to answer questions like these on an ongoing basis: why am I growing? Why am I not growing?
-- how do design the right data engineering and data science teams? What will the optimal org structure look like?
-- How do I hire the right talent to implement the data strategy? How do I align the incentives for the team to deliver in both short and long term?
-- How do I create and propagate a data mind-set, a data culture, and deep data thinking across the company?
-- How will ML & AI change my industry's landscape and how will it impact our company?

I'm happy to help you answer similar questions and setting up your data, ML, and AI strategy.

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