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Armand Ruiz
VP of Product - AI Platform @IBM
Armand Ruiz is the Vice President of Product Management for the AI Platform at IBM.15 He is a prominent figure in the field of artificial intelligence and data science, with over a decade of experience in the industry.24
Ruiz has a background in telecommunications engineering and joined IBM around the time Watson was announced.2 He quickly progressed in his career, working as a data scientist and consultant before joining the IBM Watson team as a product manager.2 In this role, he spent five years developing tools to simplify the integration of AI into business processes.2
Currently, Ruiz leads a team of approximately 300 data scientists worldwide, working on various AI projects for IBM customers across different industries.6 He is known for his focus on making AI accessible and transparent, often referring to his approach as "boring AI".6
Ruiz is also an advocate for AI governance and transparency. He has been involved in developing AI fact sheets, which are similar to nutrition labels for AI models, providing information about their development, capabilities, and limitations.6 This work aligns with emerging industry standards for AI transparency and accountability.4
In addition to his professional achievements, Ruiz recently became a U.S. citizen3, highlighting his personal journey alongside his career progression in the tech industry.
Highlights
🚀 Introducing BeeAI: an @IBM Open Source platform designed to make working with AI Agents simpler, more flexible, and more powerful.
Whether you're building your own agents or leveraging existing ones, BeeAI helps you discover, run, and compose AI agents across any framework or language.
It enables a local-first experience, running all agents on your laptop for full data control and seamless integration with local inference engines like ollama.
The platform is made up of several core concepts as shown in the following diagram.
Here are more technical details 🧵

New Model in IBM watsonx! --> We are excited to announce that an Arabic-language foundation model is now available to all our users and customers
The jais-13b-chat foundation model provided by Inception, Mohamed bin Zayed University of Artificial Intelligence, and Cerebras Systems is available for our customers..
Key points to highlight:
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Jais-13b-chat is a 13 billion parameter bilingual large language model for Arabic and English, based on GPT-3 architecture with SwiGLU non-linearity and ALiBi position embeddings, designed for enhanced context handling and precision in longer sequences.
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The model is fine-tuned using a dataset of 4 million Arabic and 6 million English prompt-response pairs, incorporating safety features and extra guardrails through safety-oriented instructions and prompts.
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It utilizes the largest curated dataset of Arabic and English instruction tuning, allowing for multi-turn conversations across diverse topics, especially relevant to the Arab world.
Our strategy at IBM is Multi-Model and Multi-Lingual.
We offer a rich and curated model library that gives you the choice and flexibility to choose the model that best fits your business needs, regional interests, and risk profiles from a library of proprietary, open-source, and third-party models.
