Vivian Rosenthal – Founder of Snaps, mobile messaging platform writing on Big Data in the Forbes e- magazine tells us how Hollywood always chooses to portray the future in apocalyptic terms with humans reduced to slaves to newer technologies to AI, and offers a counterview of how businesses are using the same technologies to overcome some of their most critical challenges.
According to her, even as there are much still not convinced about the indispensable role machine learning and other artificial intelligence technologies will play in future enterprises, there are many who have used these technologies to make their enterprises smarter, faster and more creative.
Citing CB insights to bring home the point, she shows that it’s not only big tech companies buying AI firms but traditional businesses are also getting into this race by acquiring AI startups and this together with the fact that 34 AI acquisitions were done by in Q1 of 2017, highest at any point of time, indicating wider acceptance of AI.
AI is riding on the convenience of cloud computing, the pervasiveness of processing power, huge, no-cost storage options, and providing enterprises the opportunity to leverage their data by applying machine learning to deliver best in the class customer experience with optimal resources. Vivian then proceeds to bring out how different technology behemoths are using machine learning to increase customer‘s experience.
Pinterest manages to deliver the right pin at the right moment by leveraging machine learning for content discovery, in this, the content recommendations are algorithmically driven and machine learning is used to determine among billions of user interactions the right pin to deliver at the right time. Similarly, Netflix uses machine learning to understand consumer watching pattern, surfing insights thus bring data –informed decision making to content discovery. Amazon‘s Alexa team is trying to surmount the challenges of Natural Language Processing and Generation as we are moving from typing to talking computers.