[AI Brief] Oracle to Invest USD 1 Billion in Partner Ecosystem, Backing AI Business Expansion

Oracle said on the 2nd that it will invest USD 1 billion in its partner ecosystem. The company said it made the decision to help partners turn customer demand for AI-based solutions and services into new business opportunities.

The investment will run over the next 4 years. Oracle plans to allocate the funds so partners can use growing demand for AI solutions and services as an opportunity to expand their businesses.

Through the investment, Oracle will support partners in developing innovative solutions. Based on that, the company aims to strengthen the foundation that enables partners to respond to changing demand.

Oracle will also support partners in building their professional capabilities. In addition, it will use the investment to expand opportunities to provide the technologies and services needed to support customer business transformation.

Oracle said the investment is intended to strengthen partners' development capabilities and service delivery foundation, which in turn will help support customer innovation.

Oracle will invest in training and certification for partners, technology capability enhancement, development, test and demo environments, cloud migration funding support, go-to-market collaboration, and commercialization through Oracle Marketplace, while also providing new OPN benefits, expanded OPN benefits, and OPN incentives.

The Oracle partner ecosystem consists of systems integrators, independent software vendors (ISVs), cloud and managed service providers, value-added distributors, resellers, and consulting firms. These partners are responsible for developing complementary solutions, consulting, implementation, and managed services across Oracle Fusion Applications, Oracle Database, Oracle Cloud Infrastructure (OCI), and related AI services.

Mark Hura, Oracle's president of global field operations, said partners are helping Oracle expand its sales reach and service delivery capabilities, while also carrying out their own innovation and investment to address customers' evolving business needs. He said the Oracle Partner Network strengthens more customer access capabilities, large-scale solution delivery capabilities, and the ability to accelerate innovation and business results.

Superb AI said on the 2nd that it completed the first phase of a defect auto-classification system build based on a vision-language model (VLM) for Korea Land and Housing Corporation (LH).

Superb AI said it is now carrying out the second-phase enhancement project based on that work. As a result of the first phase, it established a system capable of processing 4 million defect images per year in real time.

In the first phase, the company built a system that compressed a multi-step defect classification process into a single VLM. Under conventional methods, defect location detection and type classification models need to be separated, but the built system handles both with a single model.

The system simplified the structure and reduced maintenance burdens. It also takes a single image as the input unit and classifies space, area and material, defect type, construction type, and project type at the same time.

In addition, the system operates in a 24-hour real-time processing mode as soon as a report is received, and the results are provided in natural-language sentences that include the basis for judgment.

Superb AI said it infers major defects such as cracks, leaks, damage, mold, and contamination. It added that even when the cause is difficult to identify from a photo alone, inference based on learned patterns is possible. The design target was set at 90% or higher detection accuracy and 10% or lower false positives and false negatives. The company said it is maintaining that standard through periodic monitoring and verification.

Zenon said on the 2nd that it held a 'Focus Seminar' on the 29th of last month at the Westin Chosun Seoul, inviting industry leaders. The theme of the seminar was physical AI.

The seminar was titled 'A Major Shift in On-Site Intelligence: From Proof of Concept to Integrated Operations.' Zenon said it introduced results from the operational stage of physical AI after the proof-of-concept phase.

At the 'Focus Seminar' held on the 29th of last month at the Westin Chosun Seoul, Zenon CEO Ko Seok-tae gave a presentation. The photo credit for the image is Zenon.

The first session began with a keynote by Zenon CEO Ko Seok-tae. The keynote theme was the vision and strategy for the era of integrated physical AI operations. Right after the keynote, a humanoid named 'Genpi' was demonstrated, and 'Genpi' was introduced as Zenon's first physical AI case.

After that, Kim So-hee, executive director of Zenon's business development group, spoke on the theme 'From Care to Everyday Life: Application Cases in Health Care and Daily Care.' She said the 'Genpi' case expanded into the daily care area after validation in the senior care field. Then Yoo Kwang-myung, director of Zenon's R&D group, spoke on the theme 'Physical AI at the Customer Interface: A Case of Operating a Docent Humanoid,' covering ways to use and implement a humanoid for delivering knowledge to client companies. Eun Kwan-ju, head of Zenon's physical AI team, also spoke on the theme 'Physical AI Entering the Manufacturing Site: A Case of Automating Production Processes Using Robotic Arms.'

Zenon CEO Ko Seok-tae said the company has been rapidly creating commercialization cases in areas such as care, docent services, and manufacturing since opening its Physical AI Lab in March this year. He added that the company will continue efforts to shift toward on-site intelligence to create tangible change in industrial settings. He also said the goal is to accelerate the era of integrated physical AI operations.

SKAI Intelligence said on the 2nd that it received a commendation related to productivity and sustainable management at the 50th National Productivity Convention. The award was given on October 29, and the event was held at KBS Hall in Yeouido, Seoul.

The award was the '2026 Korea Productivity and Sustainable Management Innovation Award,' a group commendation presented by the president of the Korea Productivity Center. SKAI Intelligence said the background for the award was the development and introduction of an automation process for producing 3D-based AI advertising content.

The company said the award recognized improvements in production efficiency and the creative environment achieved through this process. It also highlighted its digital-twin-based AI content automation platform, 'B.THREE.'

'B.THREE' is a platform developed in-house by SKAI Intelligence. The company said the platform creates products and spaces in a digital twin within a virtual environment without actual filming, and produces advertising content based on changes in lighting, composition, and direction.

The company said this method cuts production time by about 80% and production costs by about 70% compared with traditional filming and manual methods. According to the photo caption, the third person from the right is Lee Jae-cheol, CEO of SKAI Intelligence.

SKAI Intelligence has accumulated digital-twin and AI content automation technologies through B.THREE, and based on that, it is expanding the application of those technologies into the production of synthetic data for physical AI training in manufacturing and robotics settings. In this process, the technical foundation remains the same, and the common approach is to create products and spaces virtually and generate images under various conditions. In advertising, the technology has been used to create content for human viewers, while in physical AI, it is used to produce data for robots to learn object and on-site environment recognition. In other words, SKAI Intelligence is showing a trend of repurposing and extending its existing content production technology to generate robot training data.

Source: IT DAILY · Yang Seung-gap
Original: https://www.itdaily.kr/news/articleView.html?idxno=242619

References

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