Data is being leveraged by businesses to deep diving into customers’ day-to-day life to understand their requirements and provide personalized solutions. Rakuten’s innovative frameworks combine big data with strategic business directions to create marketing solutions for brands which allows them to pinpoint their target users, as well as find the best possible ways to reach the target audience. Attend this session to explore how various dimensions of data science and analytics are being used to tackle real-life business problems in e-commerce, optimization of delivery logistics, and other interesting use cases.
The theoretical, practical, and application foundations of AI and Data Science have matured well now with a wide variety of learning paradigms, well understood data-to-decision process, cloud and edge-enabled infrastructures and platforms for training and inferencing, and applications across a wide variety of domains and data types.
While we have mastered the art of building and deploying a “collection of models” well, the complex ecosystems of the future – Telecom, Retail, Manufacturing, Smart Cities, etc. – will require us to think systematically about a whole “Ecosystem of models” – where models are connected to each other.
In this talk, we will explore the eight (Ashtaang = eight parts) different types of AI capabilities needed to complete an end-to-end AI Stack. Components from such an AI stack form the building blocks of an “AI Architecture of the future” for such next generation complex ecosystem products.
In this talk, I will give an overview of AI/data strategy and execution in the Rakuten group. Rakuten is one of the largest internet conglomerates in Japan with more than 70 services and processes transaction data more than 15 trillion JPY or 3% of Japan GDP. With this unprecedented diverse and a large amount of data, Rakuten has the potential to understand customers’ lifestyles and well-being, and we set this as the key mission of AI/data. We also explain our moonshot projects in Rakuten institute of technology such as quantum computations, cure cancer and autonomous network.