Finally completed the “Data Monetization Strategy: Creating Value Through Data” program organized by MIT Sloan School of Management 美國麻省理工大學斯隆商學院. It was one of the best data strategy programs in the recent few years. Even I have solid experience and background on AI and Big Data, I found that this program provides very relevant practices to monetize our data asset.
Big thanks to Dr. Barb Wixom‘s sharing and effort to put together this insightful program for us. My classmates or learning partners were from all over the world but we have a common goal to find the best way to monetize data. We formed a cross-country, cross-company and cross-function community and had lots of forums in the program to exchange views on relevant topics. That was one of the best parts in the program.
The course was not that easy as we might think of. It took me a few months to go through a series of modules and assignments. However, it is worth spending effort on this course out of my already-packed schedule.
The program had quite strict requirement to grant the certification to the participants and really tested my knowledge and persistence. My drive is that we are not just learning a new technology. To stay relevant in today’s digitally-disruptive world, we got to have the mindset to keep learning and innovating. Grateful that I did it and was granted the certificate.
My key takeaway is that it takes more than data and technology to monetize data effectively. Democratizing data literacy to everyone at all business levels and empowering them with data mindset are critical for data monetization success. That is what my team and I at OpenCertHub Academy have been empowering quite a few enterprises in Asia to do so.
If you would like to know more about this MIT program, here is a good video for it https://lnkd.in/gVZcdnuq
Enjoy learning and innovating!
Another bright day today. Apart from the sunny sky today, we did have a fruitful forum with the bright minds from the AI industry and bright talents from the China Everbright Bank Hong Kong Branch #CEBHK. It is a part of our Data Literacy Empowerment Programme #DLEP for CEBHK organized by OpenCertHub Academy #OCHA and Hong Kong Institute of Bankers #HKIB.
Appreciate the valuable insights and experience sharing from our guest speakers. It includes Ken Shih#Saxo#SaxoMarkets, Calvin Cheng, CFA#Wizpresso, Daniel Ling #OneConnect, and Edwin Hui#Capco. CEBHK’s C-suite together with their colleagues have actively participated our panel in their beautiful collaborative space. Thank you so much for the full support from Nancy Wu, Fanny Chan, their CEBHK’s C-suite and teammates. Also grateful to have my teammates from OpenCertHub and OpenCertHub Academy for their great effort behind the scene to make this forum an impactful one.
We went through a number of practical use cases, shared some key challenges, explored how to justify investment on AI in financial services. More importantly, how to nurture a data mindset and culture across the banks. It means from top management to all levels of colleagues have to be engaged and use data everyday.
In fact, MIT Slogan has a new article just published in May 2022. The core message is that Data is a team sport and the entire organization is the team. This requires data democratization, the idea that data should be in the hands of every employee.
https://lnkd.in/diqnCF4u. This echoes what we talked about today as well as what my team at OpenCertHub Academy is believing in. We aim to empower employees of an organization at all levels with data literacy. Through the collaboration between the data-literate colleagues from different business units and data experts, their organizations will be able to stay ahead of their competition by unblocking more values from data.
I was impressed by the way Nancy Wu, the Deputy CEO of CEBHK, engaged with us and her colleagues today. Here is how she summarized what she learned today from the forum. Her 3 key takeaways today are.
With Nancy’s leadership, I am confident that we can effectively empower her teammates with the right data mindset and skills to grow and stay ahead of their competition in the AI Era.