Date : 30-Jun-2020
Location: Kuala Lumpur
Organization:
Key Takeaways:
Spokepersons:
Talend, a cloud data integration leader.
Key Takeaways:
- Using Technology to Stay Relevant in the Age of AI - get on board the data science industry, reinvent your career around A.I, ML and Data Science.
- Many of those who believe AI will impact jobs also believe that AI can create new opportunities or enhance existing professions.
- AI and machine learning rely heavily on data to operate, the need for data engineers has never been more evident than it is today.
Talend Data Lake is a central storage repository that holds big data from many sources in a raw, granular format.
Spokepersons:
Stu Garrow, SVP & GM Asia Pacific at Talend,said, the key to staying relevant in the workplace is to use technological advances in your favour.
Insights:
- Hop into the data science bandwagon.
- Explaining Data Science to Your Grandparents.
- By some estimations, AI could replace up to 40% of jobs in the next 15 years. IDC forecasts an explosion of spending on AI systems in the Asia-Pacific region, reporting an increase of almost 80 percent this year compared to 2018 and growth at a compound annual growth rate (CAGR) of 50 percent between 2018 and 2022.
- In Malaysia, the government is working to develop its National Artificial Intelligence Framework to spur AI development.
Case Studies:
- Bayer Digital Farming developed a WEEDSCOUT App for Farmers. The app uses machine learning and artificial intelligence to match photos of weeds in a Bayer database with weed photos farmers send in.
- It gives the grower the opportunity to more precisely predict the impact of his or her actions such as choice of seed variety, application rate of crop protection products, or harvest timing.
- It is developed with Talend Data Lake.
Editor's comments:
Photo by Franki Chamaki on Unsplash
- Data science is the pre-requisite and predecessor of A.I and ML.
- Companies need to give priority to existing ICT personnel to train them in the area of A.I, ML and data science to provide them with a second opportunity before seek out newer and younger talents.
- Companies need to commit resources to train existing ICT personnel with skills of A.I, ML and data science.
Photo by Franki Chamaki on Unsplash
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