Wazzup Pilipinas!?
Vice President and Head for Enterprise Innovation, Business Development, Consulting, and Presales, Melvin Jeffrey Chan, presents during the Go Cebu Grand Expo and Exhibit
PLDT Enterprise, the B2B arm of the largest fully integrated telco provider in the country PLDT, partnered with the Cebu Chamber of Commerce and Industry (CCCI) to present this year’s Cebu Business Months (CBM) 2022. The CBM 2022 is a year-long series of events and programs that gather stakeholders from the private and public sectors in the areas of Entrepreneurship and ICT-BPM, among others.
Bannering the keynote panel at the GO CEBU Grand Expo and Exhibit, Vice President & Head of PLDT Enterprise Innovations, Business Development, Consulting & Presales, Melvin Jeffrey Chan, enlightened guests on the potential of Artificial Intelligence (AI) and how it helps optimize business operations through technology.
According to Chan, AI benefits organizations with faster, data-driven decision-making, where “AI improves core processes by increasing both the speed and accuracy while being able to provide additional insights for strategic initiatives.”
Chan adds how AI has already helped transform many industries, without consumers being aware of it, such as aerospace and defense for drone navigation, AI-designed apparel, self-driving vehicles, smart robots, wearables, among others.
With the limitless potential of AI for businesses, it reduces human errors, increases efficiency in the workflow, and provides safer handling of hazardous tasks. It also lets AI handle mundane tasks whereas business owners can focus on their strategic business initiatives.
According to a recent study by GlobalData, AI will have a global market potential of US$135.8 billion and 14% CAGR by 2026. “It is going to be a catalyst for business and digital transformation, and the possibilities are going to be boundless,” adds Chan.
For those who would like to discuss more in the subject matter of AI or are interested in co-developing or co-innovating in the general technology spaces, Chan encouraged them to reach out to PLDT Enterprise.
This is the 26th CBM celebration hosted by the CCCI. This year’s theme is “GO Cebu!” with the tagline ‘Realign, Reinforce, and Rebuild’ anchored on the vision of generating beneficial results despite challenging times.
For more information, visit https://pldtenterprise.com/.
Ross is known as the Pambansang Blogger ng Pilipinas - An Information and Communication Technology (ICT) Professional by profession and a Social Media Evangelist by heart.
The expert system includes a knowledge base, which is created by formalizing a certain subject area, and that, in turn, is the result of abstracting certain entities of the real world, for more visit https://www.computertechreviews.com/advantages-of-automation-labeling-process-for-machine-learning/. Domain extraction is the first step in abstracting the real world. After the subject area is selected, the knowledge engineer must formally describe it.
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ReplyDeleteI recently stumbled upon this fascinating article on Tasteful Space about maximizing the potential of NLP systems through data annotation, and let me tell you, it was an eye-opening read! As someone who has dabbled in the world of natural language processing, I was intrigued to learn more about how data annotation can enhance the performance of these systems, for more read https://www.tastefulspace.com/2023/07/26/maximizing-the-potential-of-nlp-systems-through-data-annotation/. The author does a fantastic job of explaining the concept of data annotation in a way that even a novice like me can understand. They delve into the importance of training NLP models with high-quality annotated data, which essentially means labeling the data to provide context and meaning. This process helps the models understand the nuances of human language and improves their accuracy in tasks like sentiment analysis, text classification, and machine translation.
ReplyDeleteWhat I found particularly interesting was the discussion on the different types of data annotation techniques. From named entity recognition to part-of-speech tagging, the article covers it all. The author emphasizes the need for a well-defined annotation guideline to ensure consistency and reliability in the labeled data. This insight was invaluable to me as it highlighted the meticulousness required in the annotation process.