Our algorithms tackle a varied & broad spectrum of challenges in the Wayfair marketplace; from empowering suppliers to easily add products to our catalog, to enabling our customers to discover and purchase a vast & diverse assortment of home goods and support customer pre and post order journeys. Sales & Customer Service are competitive differentiators for Wayfair. The B2B Sales Service Data Science team builds Machine Learning (ML) products to ensure a seamless pre-order and post-order customer journey for consumers and business customers. We derive insights from a wide array of data sources ranging from clickstream to customer texts and call transcripts, build predictive models to make data-driven decisions at scale across multiple customer touchpoints (phone, email, chat, SMS), and design optimization tools that help improve customer lifetime value and profitability. Our products directly impact the millions of customers that interact with us every month and the thousands of agents that help serve that experience.

As technology is progressing, artificial intelligence (AI) and machine learning (ML) are evolving in new sectors. Within software development, AI and ML drive programmers and testers to be more efficient as well as reaching their goals faster. With AI and ML, testers and developers have access to many capabilities that they didn't have in the past. Therefore, they are able to deliver better and more sophisticated software programs. Over the past few years, AI and ML have taken an important place within software development and we can wonder how much they bring to it.

The AIOps Catalyst team's work has resulted in a new collaborative workstream focused around the topic within TM Forum. Artificial intelligence (AI) offers huge opportunities for communications service providers (CSPs) to do things better, faster and cheaper. In fact, they have no choice but to introduce AI into operations and business processes due to growing complexity and the sheer volume of data and transactions. However, as well as delivering huge benefits, the introduction of AI also creates new challenges relating to the management of services and processes. A TM Forum Catalyst team is taking a two-pronged approach, tackling both these areas simultaneously to ensure CSPs – and their customers – reap the rewards of AI.

Finance, education, medicine, programming, the arts -- artificial intelligence is set to disrupt nearly every sector of our society. Governments and policy experts have started to realize that, in order to prepare for this future, in order to minimize the risks and ensure that AI benefits humanity, we need to start planning for the arrival of advanced AI systems today. Although we are still in the early moments of this movement, the landscape looks promising. Several nations and independent firms have already started to strategize and develop polices for the governance of AI. Last year, the UAE appointed the world's first Minister of Artificial Intelligence, and Germany took smaller, but similar, steps in 2017, when the Ethics Commission at the German Ministry of Transport and Digital Infrastructure developed the world's first set of regulatory guidelines for automated and connected driving.