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Inside: real-world use cases and Partner Perspectives you wonāt find anywhere else:
⢠1. šŗ Make CTV ads easy with Roku Ads Manager
⢠2. 𧬠Microsoft forms superintelligence team for diagnosis
⢠3. š Boost your teamās output withĀ Agentic BrainĀ
⢠4. šŖĀ How AI saved 15,000 employee hours monthly
⢠5. šĀ Google launches AI file search system
⢠6. šøĀ Tesla shareholders approve $1 trillion Musk pay package
Read Time: 5 minutes
Latest in AI
Microsoft has created a MAI Superintelligence Team to develop AI systems that outperform humans in specific fields, beginning with diagnostics. Led by AI chief Mustafa Suleyman, the initiative aims to build āhumanist superintelligenceā that serves defined human interests rather than pursuing fully autonomous general AI.
Suleyman said Microsoft will invest an abundance of funds in the project and has appointed Karen Simonyan as chief scientist, drawing on internal researchers and external recruits from top AI labs.
The teamās first goal is āmedical superintelligenceā within two to three years. It aims to diagnose diseases earlier to extend healthy expectancy through advanced reasoning models.
Unlike peers such as Meta and Safe Superintelligence Inc, Microsoftās approach avoids self-improving AI, focusing instead on specialist systems with minimal existential risk and clear real-world benefit.
This move positions Microsoft to lead applied superintelligence while sidestepping the safety controversies surrounding general AI. If successful, it could reshape healthcare diagnostics, accelerate drug discovery, and influence how enterprises and regulators define safe, domain-specific AI development.
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Partner Perspective
Partner Column exclusively available in this edition of The AI Report
By Louis Shulman ā Co-Founder at Orbit Flows
āAI will keep making more things easy. But your leverage still comes from tackling what stays hard.ā
Case Study
Omega Healthcare, a revenue cycle management firm for 350+ healthcare clients, faced inefficiencies from manually processing 250M transactions.
The issue came from repetitive, document-heavy tasks that slowed collections, increased claim errors, and lack of staff capacity for higher-value decision work.
Partnering with UiPath, Omega used AI-powered document understanding to extract and classify data from records, denial letters, and forms.
The automation cut documentation time by 40% and processing turnaround by 50%, saving 15,000 hours monthly and delivering a 30% ROI.
AI News Story
Google unveiled File Search Tool for the Gemini API, creating a fully managed RAG system that handles document retrieval and knowledge grounding automatically.
The pricing model makes storage and query-time embedding generation, with developers paying $0.15 per 1M tokens for initial file indexing. Beam, an AI game generation platform using the system, reports search results in seconds.
For enterprises managing large document libraries, this eliminates the technical overhead of building and maintaining custom RAG infrastructure while providing built-in citations and support for parallel searches.
AI News Story
Tesla shareholders have approved Elon Muskās compensation plan, valued at roughly $1 trillion, and increased his stake in the company. The vote passed with over 75% support.
The package ties Muskās payout to aggressive milestones: raising Teslaās market cap from $1.5 trillion to $8.5 trillion, deploying 1M robotaxis, and selling 1M humanoid robots over the next decade.
The board argues this secures Muskās leadership as Tesla pivots to AI and robotics, though the company faces declining transactions, regulatory scrutiny, and rising competition.
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