QDNC Issue #8

  • GPipe, Google’s open source library to train deep neural networks, aims to increase classification accuracy and training speed. It uses two training techniques: synchronous stochastic gradient descent, an optimization algorithm that updates an AI model’s parameters, and pipeline parallelism, a task execution system where one step’s output is streamed as input to the next step.
  • Customer data, particularly of current and predicted customer preferences, are polled to be the most desired data by companies. Challenges, however, include integrity and reliability of data.
  • Wefox, a Berlin insurtech company, allows independent insurance brokers to onboard clients onto the platform, automating the administrative processes. It also provides a D2C insurance platform, allowing modular, timestamped customization of insurance packages for direct customers. Consider looking into PolicyPal and GoBear and what their VP offerings are.
  • Somewhere between Airbnb and apartment rental, Blueground allows shorter and more flexible leases. Consider viability and existing similar services in Singapore.

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