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A really fun experience as attending the opening discussion in IBM Technology Forum, in W Hotel, Taipei, regarding the future enterprise AI solutions and the system requirements, August 24, invited by IBM Taiwan. It is indeed a well-organized and impressive event.

It’s a whole new and nice experience to face the key enterprise customers and IBM sales team — most of all hear their needs (and expectations) for the existing and future AI functions. The customers are really nervous on how to leverage the advanced technologies.

Along with my experiences in helping the enterprises setup their AI/DL teams, I shared my personal view on how to be the AI-savvy companies with key factors such as:
– Talents $$$$$; effective management
– Data (private)
– Strategies, products/services
– Domain experts
– Computation resources (in house, cloud-based, or hybrid)
– Standing on experts’ shoulders (open source, APIs, consultancy, etc.)
– Supports from the executives

Meanwhile, I do feel proud to promote the Watson Visual Recognition APIs with the potential enterprise customers. I am also surprised that the Morgan AI trailer project, I contributed during my sabbatical leave in IBM TJ Watson (2016-2017), had brought such advantages for the IBM sales and marketing teams.

  Posts

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August 20th, 2017

Amazing Year in IBM TJ Watson (IBM 華生研究中心的夢幻旅程)

August 20th, 2017

Presenting in Media Event: 商業週刊演講會 — 機器智能的在地機會

July 24th, 2017

NVIDIA AI Lab Meetup in CVPR 2017 and new V100 GPUs

August 29th, 2017

Interview by Harvard Business Review (哈佛商業評論) on How to Grow the (AI) Talents

August 27th, 2017

Panel Discussion in IBM Technical Forum 2017 and How to be the AI-Savvy Company

August 20th, 2017

Technical Talk in Dell Technology Forum 2017 — AI Developments and Opportunities

July 25th, 2017

Our CVPR 2017 Paper Highlighted in NVIDIA Corporate Blog

July 18th, 2017

Drone-View Object Localization/Counting and Public Vehicle Dataset (CARPK)

July 2nd, 2017

Publications vs. Industry Needs (發表學術論文跟產業脫節?)

June 9th, 2017

Team management, productivity, and appreciation