Summary
News
onAir Tech, – June 12, 2025
FAIRFAX, VA | We’re pleased to announce that Akash Manjunath will become Director of Tech Hub Engagement starting from July 10, 2025.
His first project will be focused on the Data Engineering Hub | The URL is data.onair.cc
What’s Next? Predictions for the Future of Search and SEO
- Visibility Shifts from Keywords to Topical Coverage
- Personalization Becomes Standard
- Paid Placements and Monetization in AI Mode
- The Agency Divide: Traditional vs. Modern Approaches
- New Analytics and Search Console Features
- Final Thought: Search Is Now a Conversation
As AI Mode evolves from an experiment to a default experience, search will feel less like a transaction and more like an ongoing conversation. Success will go to brands that can be present, relevant, and trusted at every step—no matter how the questions change.
The Efficacy of Standardized Interfaces in Reducing Manual Intervention, Improving System Resilience, and Enabling Advanced Governance in Enterprise Data Platforms.
Future Outlook
Agentic AI, MCP, and A2A are poised to reshape enterprise data platforms in the next 3–5 years. We will likely see middleware for agents become mainstream: platform vendors already integrate these protocols. Systems will evolve from static ETL pipelines into adaptive, self-optimizing networks. For instance, future data lakes might auto-tune storage tiers based on usage patterns discovered by agents, or data warehouses could self-partition hot tables. As Microsoft’s announcements highlight, AI is moving toward an “active digital workforce” [33]: think LLMs that don’t just suggest queries, but execute workflows end-to-end. With A2A, agents from different vendors and clouds will interoperate, breaking current silos. Enterprises will embed AI into governance: agentic systems continuously audit for compliance.
We may also see advances in model capabilities driving agentic efficiency — e.g., hybrid systems where a symbolic planner guides LLMs, or LLMs with built-in code execution (like Azure’s CUA) making some MCP calls redundant. Standards (MCP, A2A) will likely expand; Google’s A2A is already collaboration with 50+ partners [40], promising broader interoperability. In short, the data platform of the future could sense, reason, and act: as data patterns shift, agents reconfigure pipelines; when costs spike, agents throttle resources; when new regulations arrive, agents update data handling policies. This vision of an adaptive, self-driving data platform is on the horizon thanks to agentic AI and these new protocols.
Bastille Post Global, – June 9, 2025
Amperity, the AI-powered customer data cloud, today launched Chuck Data, the first AI Agent built specifically for customer data engineering. Chuck uses Amperity’s years of experience and patented identity resolution models, trained on billions of data sets across 400+ enterprise brands, as critical knowledge behind the AI. Chuck runs in the terminal and empowers engineers to quickly understand their data, tag it, and resolve customer identities in minutes – all from within their Databricks lakehouse.
This press release features multimedia. View the full release here: https://www.businesswire.com/news/home/20250609092916/en/
As pressure mounts to deliver business-ready insights quickly, data engineers are hitting a wall: while infrastructure has modernized, the work of preparing customer data still relies on manual code and brittle rules-based systems. Chuck changes that by enabling data engineers to “vibe code” – using natural language prompts to delegate complex engineering tasks to an AI assistant.
This session explores how AI agents are transforming data engineering by automating complex workflows such as data ingestion, transformation, and pipeline orchestration. With real-time analytics and intelligent decision-making becoming critical, AI-driven automation is enabling greater efficiency, scalability, and accuracy in data processes.
From automated anomaly detection to schema evolution and performance optimization, discover practical use cases that showcase the power of AI in simplifying and future-proofing data engineering strategies. Ideal for data engineers, architects, and AI enthusiasts, this talk offers insights into leveraging AI agents to reduce operational overhead and stay ahead in the era of intelligent automation.
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