Learning Artificial Intelligence and Data Analytics at the First IBPAP Talks Human Tech Series

The IT-BPM sector prepares for the evolution of work.

In today’s digital age, advancements in technology have already taken over basic office tasks. With this, humans face the challenge to up-skill and re-skill to keep up with the changes in job demand.

To start overcoming this challenge, the Information Technology Business Process Association of the Philippines (IBPAP) spearheaded the IBPAP Talks Human Tech Series. It aims to raise awareness about the skills that IT-BPM members need to enhance or develop to take on the jobs of the future.

Last November 14, the first installment of the series took place at the F1 Hotel in Bonifacio Global City, which revolved around Artificial Intelligence (AI) and Data Analytics.

Daniel Latreille for Artificial Intelligence

Artificial Intelligence

There’s no better way to start the talk series than with one of the key reasons why it transpired. Heading the discussion for AI was Daniel Latreille, chief learning officer of Ayala Education (ACEd).

Despite time constraints, Latreille was able to provide an exhaustive discussion about AI. He touched on its definition, capability, limitations, as well as its impact on human jobs. Here are the key takeaways:

Programmatic Machine Intelligence is the area of AI to prepare for.

In Latreille’s terms, Programmatic Machine Intelligence refers to the ability of computers to mimic human functions that involve predefined actions and require minimal mental effort. This simple automation the type of AI is the first humans must understand as it will soon replace or augment them in these functions. Latreille reiterated this point due to the slow development of other kinds of AI. To produce computers that can surpass the cognitive ability of humans will still take a long time, but routine functions are already being taken over by bots today.

AI works in the linear form while humans work or should work in the parallel form.

The kind of AI that we have now operate on a set of rules that involve minimal analysis. Looking at the big picture, AI can generally improve processes and accomplish tasks much faster than humans. One good example would be a machine assisting a doctor in analyzing x-ray films. However, this can also mean doctors would no longer need assistance from x-ray technicians because of technological advancement. Other jobs that AI are taking over are bookkeeping, accounting, and research. These are the kinds of tasks that only uses a set of rules in order to be accomplished.

This just shows that up-skilling or re-skilling is necessary for humans to start collaborating with machines rather than being replaced by it.

AI can mimic emotions.

It was long argued that AI cannot fully take over call center jobs because of its lack of human touch. During the talk however, Latreille reveals that the AI of today can now copy or sense emotions. The reading sentiment apparently, has a formula. He notes that it is only the linguistic ability that is lacking, keeping AI from taking over voice call center services completely. Other than that, with enough clean data, AI can outperform humans.

To keep up with the changes caused by AI, Latreille left the following points of advice:

  • Learn AI because it will be the new computer. Not learning AI will be like not learning how to operate a computer in the 90’s.
  • Accept that AI will augment, replace and create human work.
  • Strategize a way to reposition your workforce to operate on tasks that AI cannot do.

Daniel Meyer for Data Analytics

Data Analytics

Daniel Meyer lead the point of discussion for Data Analytics. He is the founder and president of Decision-Making, Analysis, and Intelligence Philippines (DMAIPH). Unlike Latreille, Meyer didn’t have to go into detail about introducing data analytics. Instead, he focused on the huge discrepancy between the supply and demand for Data Analytics in the Philippines, intending to change the current landscape. Here are the key takeaways from his facts-oriented discussion:

Lack of means to supply the needed Filipino talent for Data Analytics.

Meyer pointed out that the Philippines only has a few training providers for data analytics. From the 2, 000 Higher Education Institutions in the Philippines, only 10 to 20 offer Data Science and Analytics (DSA) subjects. There are also only 3 to 4 schools that offer graduate studies for DSA.

High demand for Filipino data analysts.

Meyer enforced his initial point by presenting facts that show the high demand for Filipino DSA talents. He states that there are 2, 000 current DSA job vacancies up on Jobstreet, a local job portal. In fact, there are 17, 000 new DSA jobs posted on the portal to date. In his blog on DMAIPH, Meyer reiterated the point by enumerating the salary rate of Filipino data analysts.

Filling the gap

To start producing the needed human capital for Data Analytics, Meyer enumerated the following training providers:

The summary on AI and Data Analytics

The first IBPAP Talks Human Tech Series provided a significant learning experience for the IT-BPM participants. A huge bulk of discoveries were cleared on prior knowledge about AI and Data Analytics.

The ultimate take away from the entire session is that there are many ways to keep up with the changing landscape of work. This brings hope that human beings can survive the challenge to re-skill and up-skill.

At Anderson Group BPO Inc, you get a team that never stops improving their skills to serve you better. We always adapt to changes to remain relevant. With this, you can guarantee a dependable business partner to success. Get to know our team, talk to us!

Paulo Salud

Business Development Manager


Anderson Group BPO, Inc.

Philippines: +63-917-869-8070

Australia: +61-2-851-812-64

LinkedIn: https://www.linkedin.com/in/paulsalud/

Website: https://andersonbpoinc.com/


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