In its latest move to position Taiwan as a leading AI R&D hub, the Taiwanese government has recently announced plans to build an AI-focused business park to foster synergies among cutting edge startups, while also cultivating stronger ties between industry and academia.
This shouldn't come as a too big of a surprise as many western tech giants like Google, Microsoft, IBM, and Amazon have all pledged to establish an AI R&B presence in the country in some way, shape, or form in the last 2 years.
The subsequent explosion of data and technology over the last few years has suddenly turned Taiwan's sizable talent pool into a technical gold mine for companies looking to hire top notch engineers without breaking the bank.
Effectively implementing an AI strategy requires on-boarding key hires across various competencies including research, engineering, production and strategy. Luckily, given recent initiatives on both the public and private side, Taiwan been steadily building up a hefty supply of data scientists and engineers, many of which are building upon their existing capabilities in software or hardware engineering.
For founders, this means a legion of skilled workers ready to help support the deployment of AI in line with established business objectives, with the ultimately hope of positioning the tool as a key differentiator among competitors.
-Jun Wakabayashi
AppWorks, Analyst
「ibm data analyst」的推薦目錄:
- 關於ibm data analyst 在 AppWorks Facebook 的最讚貼文
- 關於ibm data analyst 在 AppWorks Facebook 的最讚貼文
- 關於ibm data analyst 在 lk-learner/IBM-data-analyst-professional-certificate - GitHub 的評價
- 關於ibm data analyst 在 coursera ibm data science capstone project github (FP8FNL) 的評價
- 關於ibm data analyst 在 data analyst projects github 的評價
ibm data analyst 在 AppWorks Facebook 的最讚貼文
【What's Up, AI? A Week of Tech Announcements】
This week in AI, Microsoft, Google, and Facebook all had some sort of announcement or press surrounding their AI activities. For all you founders interested in the world of AI, let's take a closer look together at them and what they've been up to recently.
Google: 4 new machine learning APIs for developers were released by Google earlier this week. The new APIs are (1) object detection, (2) tracking, (3) on-device translation, and (4) AutoML Vision Edge. This will help developers with more base APIs, UX, and greater customization. This release is on par with Google's vision for open source: bringing better technology to the world by promoting open source.
Facebook: On the topic of open source, Facebook continues with its commitment to the wider developer community (and specifically the AI community) by announcing Pythia, a modular plug-and-play framework that allows data scientists to quickly build, reproduce, and benchmark AI models. Also available on Github.
Microsoft: In an annual machine-translation competition (WMT19), Microsoft Research Asia came out top 8 of 19 different language-translation challenges, beating out other tech firms like Yandex and IBM. This is significant for them because they developed a speech-recognition system which transcribes as well as a human, so winning the competition solidifies their credibility in the space. Congrats Microsoft!
As we continue to see AI creation and adoption grow, we can only expect to hear about AI on the daily. In the meantime before AI becomes mainstream, check out this video from Code Bullet where he makes an AI that learns to walk while avoiding a death laser. Have a great weekend!
Applications are now open for AW#19. If you're an AI or blockchain startup, apply now here >> http://bit.ly/2JDsU8q
- Natalie Feng Lin, Analyst
ibm data analyst 在 coursera ibm data science capstone project github (FP8FNL) 的推薦與評價
IBM Data Science Professional Certificate course helps you to pursue a career in ... You will assume the role of a Data Scientist working for a startup ... ... <看更多>
ibm data analyst 在 data analyst projects github 的推薦與評價
IBM Data Analyst Capstone Project Lab 4: Collecting Data Using Web Scraping. Answer: If you are beginner it will help you to make a portfolio of your work. ... <看更多>
ibm data analyst 在 lk-learner/IBM-data-analyst-professional-certificate - GitHub 的推薦與評價
IBM -DATA-ANALYST-PROFESSIONAL Certification. Contribute to lk-learner/IBM-data-analyst-professional-certificate development by creating an account on ... ... <看更多>