When did ARTIFICIAL INTELLIGENCE (AI) become popular?
Before you ask whether a specialization MBA or Master's in Machine Learning is important, understand where it all began. Over 140 AI companies have been acquired since 2011 with the momentum on Mergers & Acquisitions peaking in 2016 resulting in 40 acquisitions, among which Google, Yahoo, Intel, Apple, and Salesforce, lead the pack.
Google with 11 acquisitions is leveraging technology to improve the search experience, new media technology, targeted advertising, and digital assistants for the Android OS.
The next wave of innovation is only restricted to tech giants as mid-sized companies and Businesses have yet to find value from AI to solve real-world problems.
The real value of AI would be in FinTech
The authenticity of the founding story, the security risks, and the mass adoption of Bitcoin may be up for debate, but the technology behind the FinTech revolution – BlockChain as an alternative to the current cumbersome payment settlements is closer to reality. 15% of the 200 global banks has tested the technology in some capacity in 2017.
By 2020, 65% of banks would incorporate the payment settlement technology at production capacity.
Although most of the FinTech funding is centered in New York, Ripple - the San Francisco Global Financial Settlement provider has already raised over $93 million from star VCs - Google Ventures, Andreessen Horowitz, IDG Capital Partners and AME Cloud Ventures.
Investment Banks/Financial Services Providers - Standard Chartered, Accenture Ventures, Siam Commercial Bank and SBI Holdings also have a sizable stake in the company.
Ripple has already spearheaded a new category of services - Internet of Value (IoV), to convert payment settlements as real-time information.
Should I focus on an MBA in Machine Learning?
Now back to the question.
There is no MBA program specialization in Machine Learning although there exists Data Analytics, Business Analytics and Decision Sciences courses as a major or part of individual course selection that some of the top MBA programs in the US offer.
What would I work on with AI/Data Science as a specialization?
As a Management professional, you will be working on evangelizing, lobbying, or managing AI products/services or guiding companies in integrating AI technology.
2019 MBA Research Guide - Choose your MBA
F1GMAT's Comprehensive MBA Research Guide will teach you how to select MBA programs through a bottom-up approach.
Articulating your Post-MBA Goals and Career Path is the FIRST step. Which program will give you that hike in Salary, Switch in Career, Change in Location or Job Satisfaction?
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Define Post-MBA Goals
Pick your Path: Generalize or Specialize
Use Moral Algebra Method
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Use Net Present Value to Calculate MBA Return on Investment
Don't Fall for the Mere Exposure Effect
Best Practices to find the truth in MBA Information Session or MBA Tour
Comprehensive MBA Research Guide: Includes Top MBA Programs by 19 Specializations:
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+ Top MBA Program Ranking
Top 20 MBA Programs - Tuition Fee (2018)
Top 31 MBA Programs in United States – Total Cost & Salary (2017)
Top 60 MBA – GMAT and GPA (Average & Median)
Top 20 European MBA Programs - Tuition Fee, Total Cost & Salary
Top 20 European MBA Programs (Based on Actual Salary Increase)
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Top 10 MBA in UK – Salary & Fee (2018)
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Top MBA Destination: By Economy
+Comparisons - Top MBA Programs
Wharton vs. Columbia MBA (2018)
MIT vs. Stanford MBA (2017)
Haas vs. Ross MBA (2018)
Kellogg vs Ross MBA
Booth vs Wharton MBA
MIT Sloan vs Tuck MBA
IMD vs. INSEAD MBA (2017)
IIMA vs. ISB (2017)
+ MBA in France (2018)
Top Industries in France
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+ MBA in the UK (2018)
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