Google displays personalized search suggestions, Netflix populates recommendations for shows, and Amazon provides products you may like widget are notable examples of machine learning or big data products. These product features will not show accurate results until algorithm understand end-user pattern. Therefore, the fundamental question for machine learning/AI/Big Data product managers is whether to ship or to learn?
I was fascinated by coordinated and structured efforts from ants when I was 6. On the other hand, I was baffled to see group conflict and unstructured behavior in the organization at 22 during my first corporate job. As a Product Manager, dealing with people is an inevitable part of the job. One of the biggest challenges for PMs is to influence engineers and negotiate with the business team. If that is the case, how PMs miss organizational pattern to understand engineers and business team behavior?
An organization is the group of people working towards the same purpose. However, we always see a conflict of interest between the engineering team and business team, and as a PM, your role is to connect both sides of an organizational spectrum. Today in any organization; as a PM, you work with engineering, support, marketing, sales, professional services, and finance department. It means PMs get an opportunity to work with people from diverse background, culture, and experience. As product managers spend more time with various teams, they need to understand personal behaviors, a key motivation of each team/individual and company objectives.
The next technology revolution is already happening. With the advent of Facebook, we can believe the fact that millions of people are using their services to connect with loved ones. Amazon online shopping has made the things possible for individuals in every possible corner of the earth. Google since its inception, has created a massive search engine that can help you to find something or information. However, something is lurking behind the cover.