Should Founder Learn Machine Learning
Attention all machine learning founders: Why do y'all need ML for your business?
As most investors volition tell you, buzzwords like "AI" and "machine learning" are sprinkled throughout visitor pitches these days.
In all honesty, while some companies are doing real cutting edge work that has merely been enabled by recent advancements in compute and deep learning, others feel compelled to use these terms given the hype.
In fact, their overuse tin can make it difficult to go to the center of what the company is doing, why it is different, and what is defensible about their approach.
For these reasons, two questions I often inquire founders are (one) why do you lot need to utilize AI to solve the problem y'all're focused on and (2) why specifically did you select the approach you're using?"
When founders take clear, compelling answers to these two questions, not only does it provide clarity on the value being created, only also gives me confidence that the founders have assessed their options.
They are not over complicating the problem by using fancy techniques, and that they have identified a existent opportunity to better processes or enable new ones.
Car learning is a applied science that volition transform industries. This is reflected in the flood of investment dollars into companies using this engineering.
According to PitchBook via Axios, in 2016 there were 322 deals worth a total of $three.six billion in investment into AI and machine learning companies. Nevertheless, these statistics and categorizations miss the important distinction that machine learning is not a solution in and of itself, but an important enabler to optimize a desired outcome.
Information technology will transform industries past streamlining decision making, reducing costs, and improving user experiences.
As a founder I would focus my pitch on what problem I am solving past building my company, instead of on the technology. I would talk about how I am doing that and how my approach is technically differentiated from my competitors as necessary.
This focus helps investors better understand what is unique nearly my company because they can sympathise what the utilize cases are and what value I provide.
For case, Venmo would never say they are a mobile company — they would say they are a social payments application enabled past mobile. This concept also applies here.
Source: https://medium.com/startup-grind/https-medium-com-medhaa-attention-all-machine-learning-founders-why-do-you-need-ml-for-your-business-9ebd6b912e09
Posted by: gogginsmakeles.blogspot.com
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