Sponsor: BytePlus Pte Ltd

This e-book explores how BytePlus ModelArk and Seed models combine enterprise-grade infrastructure with advanced AI capabilities to accelerate content creation, empowering businesses to deliver high-quality text, images, and videos at scale for today’s fast-paced creative and commercial demands.

• Content Suite in Days, Not Weeks
• Studio-Quality Visuals & Video in Seconds
• Enterprise-Grade AI Built for APAC & Global Scale

As enterprises move beyond pilot AI projects and isolated use cases, the need for a secure, scalable, and cost-effective AI ecosystem has never been more critical. This e-book serves as a practical guide for IT leaders and decision-makers seeking to operationalize AI at scale.

• Understand how ungoverned AI usage can compromise compliance and data integrity, and what enterprises can do to mitigate these risks.
• Learn how to choose the right models for the job, from deep-thinking LLMs for analytics to lightweight AI for real-time responsiveness.
• Explore strategies like model quantization, elastic scaling, and infrastructure optimization to reduce costs while maintaining enterprise-grade performance.

Teller Novel, a rapidly growing user-generated content (UGC) platform focused on light novels, sought to improve user engagement, content consumption, and revenue generation. By partnering with BytePlus and utilizing their advanced AI/ML technology, Teller Novel significantly increased their click-through rate (CTR), daily active users (DAU), and overall business performance.

FunCorp is a mobile app development company that owns several User-Generated Content (UGC) platforms, including iFunny and FunXD. The organization sought to improve user interactions, as well as time spent on each platform and content asset. By partnering with BytePlus and utilizing its advanced Artificial Intelligence/Machine Learning (AI/ML) technology, FunCorp increased ‘Smiles’ per user — the equivalent of “Likes” on the platforms — by up to 20% and total time spent by up to 33%.

This ebook aims to delve deep into BytePlus Recommend, exploring its mechanisms and functionalities to understand what sets it apart as a leading solution in the realm of recommendation engines.

• BytePlus Recommend, a vanguard in the realm of recommendation engines, is at the forefront of pioneering technologies that redefine personalization.
• Our platform is engineered to ingest and process vast amounts of data, including terabytes of real-time user behavior and product information.
• The architecture is designed to support auto-scaling and real-time processing, enabling dynamic adaptations to your evolving recommendation needs.

Facing the challenge of truly personalized e-commerce experiences, GS Shop teamed up with BytePlus. The result?

A seamless integration of AI-driven recommendations, leading to a 40% increase in unique monthly buyers and even boosted unit prices. This isn't just about sales growth; it's about innovatively meeting and anticipating customer needs in real time, setting a new benchmark in personalized shopping.

In the rapidly evolving digital landscape, BytePlus Recommend is a critical tool for businesses aiming to enhance customer engagement and increase returns. Originating from the advanced technology developed by ByteDance, BytePlus provides clients with a variety of intelligent solutions designed to drive growth. This eBook offers CEOs, CTOs, CXOs, and other decision-makers a comprehensive overview of BytePlus Recommend’s capabilities, underscored by its profound impact on user engagement and conversion rates.

By sharing how various organizations were able to exceed ROI expectations, CEOs and business leaders will get to see how BytePlus Recommend could impact their revenue ambitions.

Finding the right part-time job just got a lot easier for jobseekers in Japan!

Baitoru, Japan's leading part-time recruitment platform, wanted to streamline job searching and improve job-to-candidate matching.

Here’s how Baitoru used BytePlus Recommend to boost its overall conversion, Gross Merchandise Value per session, and job matching accuracy.

This whitepaper gives you an overview of how building a system gives greater control over data and more flexibility in design. However, flexibility and control also come with higher costs and a significant burden to maintain the system when it goes live. Find out the…

• Pros and cons to guide your decision-making process between build and buy.
• From business perspectives to the bigger picture - what are the key considerations?