What is your position on embodied intelligence?

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Digital transformation mindcandy 17 April 2025

Today’s topics are IT inflection points, LCNC, DevOps, China and robotics, active data architecture, AI data observability, data loss, data gravity, intelligent network infrastructure and Model Context Protocol (MCP).

What is your position on embodied intelligence?

Enterprise IT’s Inflection Point: How IT And IoT Are Shaping A New Era

https://www.forbes.com/councils/forbestechcouncil/2025/04/14/enterprise-its-inflection-point-how-it-and-iot-are-shaping-a-new-era/

Enterprise IT teams today must oversee a highly distributed computing environment marked by unprecedented complexity. 

Evaluating Forrester’s Digital Transformation Services Research: The Role of Low-Code No-Code in Modern Business Evolution

https://customerthink.com/evaluating-forresters-digital-transformation-services-research-the-role-of-low-code-no-code-in-modern-business-evolution/

Beyond piecemeal digitization.

Five Powerful Ways AI Is Transforming the DevOps Playbook

https://devops.com/five-powerful-ways-ai-is-transforming-the-devops-playbook/

DevOps teams now have access to technology capable of improving automation and optimization in practically everything they do — from integration to delivery to infrastructure and more.

Across China: Robotic AI revolution brews in China’s traditional tea gardens

https://english.news.cn/20250416/18a829e5823a43b19494187eef915f07/c.html

The Chinese government has designated embodied intelligence as an industry of the future that it intends to cultivate.

The Active Data Architecture Era Is Here, Dresner Says

https://www.bigdatawire.com/2025/04/15/the-active-data-architecture-era-is-here-dresner-says/

An active data architecture is a software-defined abstraction layer that separates the physical data store from the consumption of that data.

Mastering AI Data Observability: Top Trends and Best Practices for Data Leaders

https://www.precisely.com/blog/data-quality/mastering-ai-data-observability-top-trends-and-best-practices-for-data-leaders

Only 59% of organizations trust their AI/ML model inputs and outputs, according to the latest BARC Data Observability Survey: Observability for AI Innovation.

Why Data Classification Isn’t Enough to Prevent Data Loss

https://www.darktrace.com/blog/why-data-classification-isnt-enough-to-prevent-data-loss

How security teams can achieve visibility beyond the limits of data classification, without adding to the burden of data management.

Trade routes of the digital age: How data gravity shapes cloud strategy

https://www.cio.com/article/3961716/trade-routes-of-the-digital-age-how-data-gravity-shapes-cloud-strategy.html

Data gravity, the Silk Road’s modern-day digital ghost, shapes cloud costs. Manage its pull or pay the tolls of vendor lock-in.

Why digital transformation starts with an intelligent network infrastructure

https://www.networkworld.com/article/3962476/why-digital-transformation-starts-with-an-intelligent-network-infrastructure.html

Businesses looking to sharpen their competitive edge and stay innovative in this climate must tap into solutions such as artificial intelligence (AI), machine learning (ML) and hybrid multicloud.

A Deep Dive Into MCP and the Future of AI Tooling

https://a16z.com/a-deep-dive-into-mcp-and-the-future-of-ai-tooling/

Model Context Protocol (MCP) has changed the way AI interacts with tools, what developers are already building with it, and the challenges that still need solving.

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