AI Skills Competition

AI Skills Competition

Summary

This is not just a competition, but a profound exploration of efficiency improvement.

AI Skills Competition
This is not just a competition, but a profound exploration of efficiency improvement. Every contestant is demonstrating through action that AI is no longer an unattainable future, but an immediate reality.
On September 23rd, TNN held an AI competition. Nine colleagues transformed into AI experts and engaged in exciting battles on the track of innovation breakthroughs and AI applications. At the beginning of the competition, Perry introduced the event and officially kicked off the AI feast. Subsequently, the contestants took the stage one by one and drew lots to determine the order of their presentations, creating a lively atmosphere on site.
Mike: Combined with Enterprise Check, AI automatically captures factory information, greatly reducing the burden of checking factories and making data management more intelligent.
Dale: Build a business follow-up order workbench to automatically remind customers to follow up and track shipment times, making order management more efficient.
Karl: On site commitment: "Any colleague who wants to learn, we promise to teach and teach!" and develop a four week plan for one-on-one teaching, so that AI can truly run in TNN.
Aubrey: Teach everyone how to choose the AI tool that suits them and help each colleague find the most compatible "AI partner".
Lisa: Make all three of the most repetitive tasks automated - automatic generation of quality inspection forms, automatic production of TNN standard COAs, and establishing a fixed process for customer background checks.
Leon: AI handles e-commerce copywriting, images, and videos, resulting in a surge in content creation efficiency.
Daisy: AI combines customs data to accurately develop new customers and assist in business expansion.
Memory: Using AI to create virtual character short films, vividly presenting the blueprint of Dehui, and perfectly integrating technology and vision.
Steven: Developing AI assistants to assist in company and product introductions; Visual dashboards make departmental data clear at a glance, work progress more intuitive, and decision-making more efficient.
These tools actually all point to the same thing - handing over repetitive, tedious, and cross checking tasks to machines, leaving judgment, communication, and creation to humans. TNN will continue to be at the forefront of AI application and the trend of the times, driving innovation breakthroughs and making AI truly a capable assistant for every TNN person.
Let's win the future together!