Category: Tin tức AI

AI in smart city infrastructure management

Today, smart city technologies are driving new solutions to tackle emerging challenges in urbanization such as traffic congestion, air and noise pollution, safety and crime, emergency response, climate change, economic growth, and delivery of city services. These technologies are relying heavily on a highly complex smart city network infrastructure, including multiple layers, multiple communication technologies, multiple vendor equipment, and multiple traffic patterns. Such an infrastructure enables real-time situational awareness in the urban system by its ability to gather and integrate data at scale, securely and privately, from environmental, critical infrastructure, health and personal sensors. A significant amount of effort has been invested on architecting agile and adaptive management solutions in support of autonomic, self-managing smart city networks. Recent advances in network softwarization and programmability through Software-Defined Networking (SDN) and Network Functions Virtualization (NFV), the proliferation of new sources of data, and the availability of low-cost and seemingly infinite storage and compute resources from the cloud are paving the way for the adoption of machine learning (ML) and artificial intelligence (AI) to realize cognitive network management in support of autonomic networking in smart city. In this talk, we will review challenges and issues when applying ML and AI in smart city network management, with a focus on infrastructure orchestration. We will also present a use-case of a smart city model built at the heart of Montreal, Canada, in collaboration with global players, including Ericsson, Ciena, Videotron, and Telus.

Prof. Nguyen Kim Khoa – University of Québec (Canada)

Kim Khoa Nguyen is Associate Professor in the Department of Electrical Engineering at the University of Quebec’s Ecole de technologie supérieure (ETS), Montreal, Canada. He has a PhD from Concordia University in Electrical and Computer Engineering. He served as CTO of Inocybe Technologies, a leading company in software-defined networking (SDN) solutions. He was the architect of the Canarie’s GreenStar Network and also involved in establishing CSA/IEEE standards for green ICT. He has led R&D in large-scale projects with Ericsson, Ciena, Telus, and InterDigital. He published extensively, and holds several industrial patents. His expertise includes smart city, cloud computing, IoT, big data, data center, network optimization, high speed networks, and green ICT.

Cognitive Banking

Ngày này, ngành ngân hàng đang phải đối mặt với sự tái sinh khi thời đại kỹ thuật số biến đổi thành thời đại nhận thức. Thành công phụ thuộc vào sự chuyển đổi triệu để cho phép tích hợp của phân tích nâng cao, trí tuệ nhân tạo, máy học, người máy, blockchains và hơn nữa. 64% số người được khảo sát trong năm 2016, chiẹu quả của tổ chức họ vẫn đang không thay đổi hoặc sụt giảm trong vòng 3 năm qua. Khai thác số lượng dữ liệu khổng lồ đang ngủ, dữ liệu do ngân hàng sở hữu, phần lớn là không có cấu trúc là nền tảng để tiếp cận đến từng cá nhân khách hàng, chuyển đổi các hoạt động vận hành, hưởng lợi từ đổi mới của fintech. Vậy làm thế nào bạn có thể tận dụng những công nghệ này để xây dựng một ngân hàng nhận thức?

Mr. Nguyen Manh Khang – IBM (Vietnam)

Khang is Big Data Architect in IBM’s Analytics Group. He has been trusted advisor for customers across industries such as banking, telecommunication, public sector and retails for digital transformation journey. He has been visible on the market as the leader and strategic advisor with the role of IBM Software Architect before promoted to ASEAN.
With more than 10 years in IT industry. Khang experienced a lot of positions at MNC (Multinational Corporation) and local companies such as Software Engineering, Project Manager, Solution Architect, Presale. Khang has strong background and experience in solution architecture and industry knowledge.

From ML Algorithms to ML Systems

I will present 10 lessons that we’ve learned from building battle-tested machine learning systems at Microsoft.

Dr. Kenneth Tran – Microsoft Research (USA)

Kenneth Tran is a Principal Research Engineer in the Deep Learning Group, Microsoft Research. His research expertise and experience includes Deep Learning, Reinforcement Learning, Optimization, and Distributed Computing. At Microsoft, he led the research and development for strategic AI projects such as Deep Reinforcement Learning for real-world control problems, Project FarmBeats: AI & IoT for Agriculture, and Computer Vision API for Cognitive Services. In addition, Kenneth is also the chief mentor of Microsoft AI School’s advanced projects class. Kenneth received his Ph.D. in Computational & Applied Mathematics from The University of Texas at Austin.

AI Strategy and Implementation on Got It’s Knowledge as a Service Platform

Got It’s mission is to connect and economically empower people everywhere. We’re enabling knowledge to be traded directly between one human being and another. Got It’s Knowledge as a Service (KaaS) is delivered on-demand via a “knowledge-time” unit: a 10- or 20-minute chat session in which a user with a knowledge problem is connected immediately with a domain expert at a set price. And like many other services, KaaS guarantees a solution to your knowledge-based problem. While there are some specific expert-based services for specific topics, Got It’s KaaS is the first platform for multiple topics. In this talk we will present how Got It leverages AI to understand a user’s knowledge-based problem, match a problem with a suitable expert in seconds, audit chat sessions, and update expert’s ranking. We had amazing results, our AI powered KaaS platform already served over three million sessions from over twenty five thousand experts from seventy nine countries with great user satisfaction.

Dr. Hung Tran – Got It (USA)

Dr. Hung Tran is the founder of Got It, Inc., a tech startup developing the world’s first Knowledge as a Service (KaaS) platform to instantly connect a knowledge seeker with a vetted expert for an interactive and personalized explanation. Got It is led by an experienced executive team including former executives from tech giants like Google, Lyft, Rakuten, etc., and is headquartered in Silicon Valley with an engineering office in Hanoi, Vietnam. The company has raised $15M in funding from well-known investors in Silicon Valley like Capricorn Investment Group who is also an early investor of SpaceX, Tesla, and PlanetLabs.
Dr. Hung Tran received a VEF Fellowship in 2007 and obtained his Ph.D. in Computer Science focusing on data mining and big data analytics from the University of Iowa. Prior to the Fellowship, he served as the leader of Vietnam OpenCourseWare Project working with MIT and Rice University to build a national scale open courseware program from inception to launch serving millions of college students in Vietnam. Dr. Tran received his Bachelor of Engineering in Information Technology from Hanoi University of Science and Technology. He is also a recipient of numerous national and international technology and entrepreneurship awards.

AI2’s startup incubator: progress and directions