Akihiko Shigeno
Tokyo, Tokyo,Japan
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Akihiko Shigeno is a distinguished NEC Fellow at NEC Corporation, a prestigious title recognizing his profound expertise and contributions in the field of Artificial Intelligence (AI) and Machine Learning (ML). With a career spanning over three decades at NEC, starting from 1990, he has been at the forefront of AI research and development. His work focuses on creating innovative AI solutions to address complex societal challenges and drive business transformation. Dr. Shigeno is known for his leadership in areas such as heterogeneous machine learning, explainable AI (XAI), and the application of AI in diverse domains including healthcare, finance, and urban infrastructure. He actively contributes to the global AI community through research publications, keynote speeches, and collaborations, shaping the future direction of AI technology.
Professional Summary
Akihiko Shigeno's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Notable Achievements
NEC Fellow Appointment
Appointed as an NEC Fellow, the highest professional title for researchers at NEC Corporation, recognizing his exceptional achievements, leadership, and significant contributions to AI research and development within the company and the broader industry.
Pioneering Research in Heterogeneous Machine Learning
Led groundbreaking research in heterogeneous machine learning, developing advanced algorithms and platforms capable of learning from diverse and complex data sources. This work has enabled more accurate predictions and insights in various applications.
Advancements in Explainable AI (XAI)
Made significant contributions to the field of Explainable AI, developing techniques to make the decision-making processes of complex AI models transparent and understandable. This is crucial for building trust and ensuring accountability in AI systems, especially in critical sectors.
Keynote Speaker at International AI Conferences
Frequently invited as a keynote speaker and panelist at major international AI and data science conferences, sharing his insights on cutting-edge AI technologies, future trends, and the societal impact of AI.
Development of AI Solutions for Social Good
Championed and led projects applying AI to address pressing social issues, such as improving healthcare outcomes, enhancing public safety, and optimizing resource management for sustainable development.
Educational Background
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Company Overview
InsideSalesPlus Inc.InsideSales.com, later rebranded as XANT and subsequently acquired by Aurea Software, was a leading sales acceleration platform. It offered AI-powered solutions for sales engagement, predictive analytics, and lead management to help sales teams improve efficiency and close more deals. Their platform was designed to prioritize leads, automate communication, and provide insights into sales performance.
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