Abaka Pulse : Latest Insights in AI & Data | Jan 21-31

At the Core ｜Enterprise AI in the Fortune 500

Most large enterprises aren't struggling to start with AI—they are struggling to finish.

Across the Fortune 500, we are seeing a massive shift from "experimentation at the edges" to "deployment pressure at the core." While 78% of organizations adopted AI in 2024, the majority remain trapped in "Pilot Purgatory." The barrier isn't the model; it’s the lack of repeatable AI Operating Systems that can turn a sandbox demo into a production-grade asset.

Abaka AI dives into why scaling is the next frontier for the world's largest companies:

• Beyond the Chatbot: Value is moving into workflow redesign—embedding AI into claims handling, procurement, and audit trails rather than generic interfaces.
• The Data Maturity Gap: Enterprises often realize too late that their internal data isn't "model-ready," lacking the lineage and labeling needed for reliable grounding.
• Evaluation as Infrastructure: Success in 2026 requires moving from "vibe-based" testing to rigorous evaluation harnesses that mirror real-world failure modes and compliance rubrics.
• Governance-First Deployment: As AI risk language becomes standard in boardrooms, the winners will be those who integrate trust and security management (AI TRiSM) directly into their data pipelines.

[Read the Full Research Article → Enterprise AI in the Fortune 500: Moving from Pilots to Production]

Latest Insights | The Standard-Bearer for Document Intelligence

We are proud to share that OmniDocBench v1.5, a flagship benchmark project with the collaboration of Abaka AI and our contributed open-source foundation 2077AI, has once again been selected as the primary evaluation framework for a global industry leader.

Following its adoption by the teams behind Gemini 1.5 Pro and the original DeepSeek-OCR, the newly released DeepSeek-OCR 2 technical report cements OmniDocBench as the de facto industry standard for document intelligence.

DeepSeek’s latest "Visual Causal Flow" architecture, designed to mimic human reading, requires a benchmark capable of parsing the most complex layouts, formulas, and tables—a level of multi-modal rigor that OmniDocBench was specifically built to provide.

[Explore the Project → OmniDocBench Homepage]

On the Ground | AAAI 2026 Recap: Singapore Edition

The momentum shifted to Singapore at the end of January for AAAI 2026! Beyond the formal conference sessions, the energy on the ground centered on a singular theme: moving from research sandboxes to production-grade robustness. Abaka AI was there to bridge the gap between academic breakthroughs and the "Agentic AI" infrastructure required for 2026.

The Conversation Doesn't End Here If you miss us in Singapore or want to follow up on a specific pilot discussed over coffee, reach out to our team of data experts.