December 2022 Summaries

The text highlights the contributions of seven influential women leaders in the fields of artificial intelligence (AI) and machine learning (ML), emphasizing their impact on an industry traditionally dominated by men. These leaders, including Chip Huyen, Rana el Kaliouby, Aishwarya Srinivasan, Lila Ibrahim, Timnit Gebru, Thu Vu, and Tanu Chellam, have made significant strides in areas such as real-time machine learning, emotion AI, AI ethics, and educational technology, among others. Their achievements and ongoing efforts are paving the way for increased female representation in AI/ML, challenging the current statistic that only 22% of AI professionals are women. These women are celebrated for their roles in advancing technology, advocating for ethics and diversity, and inspiring future generations to pursue careers in AI and ML.

Seldon, in collaboration with the University of Cambridge, is actively engaged in advancing machine learning operations (MLOps) by participating in the NeurIPS @ Cambridge event, which aligns with the prestigious Neural Information Processing Systems Conference held in New Orleans and virtually. At the Cambridge meetup, Seldon will showcase contributions including a poster session by MLOps Engineer Sherif Akoush and researcher Andrei Paleyes on the "Desiderata for Next Generation of ML Model Serving," and a lightning talk by Applied ML Researcher Oliver Cobb on "Towards Practicable Sequential Shift Detectors," highlighting the challenges and advancements in deploying and monitoring machine learning systems. The event is an opportunity for Seldon to engage with the wider AI/ML community, emphasizing data-centric design patterns for scalable ML deployments, and fostering continuous learning through workshops, presentations, and networking opportunities.