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WORK WITH US ⢠COMMUNITY ⢠PODCASTS ⢠B2B TRAINING

We believe you donāt need to be technical. Just informed.
Inside: real-world use cases and Partner Perspectives you wonāt find anywhere else:
⢠1. āļø Delete your information from the web with Incogni
⢠2. š¤ Google clears $32B Wiz acquisition hurdle
⢠3. š Boost your teamās output withĀ Agentic BrainĀ
⢠4. š„Ā How Instacart cut engineering time by 20% with AI
⢠5. šĀ Xpeng to launch robotaxis and humanoid robots
⢠6. āØĀ Google expands Gemini Deep Research to Workspace
Read Time: 5 minutes
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Latest in AI
Google's $32B acquisition of cloud security firm Wiz has cleared U.S. Department of Justice antitrust review, bringing the tech giant closer to finalizing. Wiz CEO Assaf Rappaport confirmed the milestone at a Wall Street Journal event, though it still requires additional approvals before closing in early 2026.
The acquisition amount rose from Google's initial $23B in 2024, which Wiz rejected, to $32B when talks resumed in early 2025.
Wiz provides cloud security solutions that scan and protect cloud infrastructure, making it a strategic asset for Google Cloud as enterprises migrate sensitive workloads to cloud environments requiring robust security frameworks.
The timeline spans nearly two years from initial discussions to expected closure, with antitrust permissions representing a major milestone, but additional regulatory approvals are still pending before the acquisition completes.
This acquisition signals Google's aggressive push to compete with Microsoft and Amazon in enterprise cloud security. For enterprise leaders, this consolidation could mean enhanced security tools within Google Cloud but potentially altered vendor landscapes as major platforms acquire independent security companies.
Ā
TOGETHER WITH AGENTIC BRAIN
We're here to get you real results. We take a business-first approach, by analyzing your best processes then training a team of AI employees to increase the results. Our 3-week workflow audit identifies 5-10 agentic opportunities you didn't know existed. Result: 40% more talk time for your sales team to build customer relationships while AI handles the busy work.
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Partner Perspective
Partner Column exclusively available in this edition of The AI Report
By Karen Odash ā Systems Development Expert
āThe faster the data moves, the harder it is to contain.ā
Case Study
Instacart, a US grocery delivery platform, faced slow product development cycles that delayed launches and a lack of innovation speed across engineering teams.
The issue came from manual coding, debugging, and testing workflows that consumed hours of repetitive effort within large, complex codebases.
Through its internal Project Tomato initiative, Instacart embedded AI coding assistants like Ava and Cursor to automate refactoring, debugging, and test generation.
The result was a 20% increase in engineering velocity, freeing developers to focus on design quality and faster product delivery.
AI News Story
Chinese automaker Xpeng has announced plans to begin testing robotaxis in Guangzhou in 2026, marking a major shift from its earlier stance that the technology was still years away from commercialization.
The company also revealed its second-generation humanoid robot, Iron, which will enter mass production next year. Initially, the robots will serve as tour guides and assistants within Xpeng facilities before broader deployment.
Xpengās dual push into autonomous vehicles and robotics positions the company to move beyond EVs and challenge Tesla across AI-driven products, supported by a partnership with Alibabaās AutoNavi.
AI News Story
Google expanded Geminiās Deep Research for Gmail, Drive, and Chat, allowing users to pull insights directly from their own files. This update lets teams generate AI reports that reference internal documents and conversations in one workspace.
Gemini acts as a context-aware research assistant, capable of cross-checking private data with public web sources. The feature enables richer, more personalized results tailored to each userās organization.
Google calls this āone of our most-requested features,ā signaling a major step toward integrated, enterprise-level AI tools. Early use cases include market analysis, competitor tracking, and project planning.
Trending AI Tools
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News Flash
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