Digital transformation mindcandy 3 September 2024

Digital transformation mindcandy 3 September 2024

Today’s topics are data architecture, humanoids, predictive maintenance, low code centre of excellence, coding, IoT trends, AI in manufacturing, organizational transformation, unit 8200, no-code machine learning, and an opportunity to pre-order my book about books about AI.

If you want to talk about my perspective on transformation, you can book a free appointment here .

Innovating Data Architectures for Machine Learning: Paving the Way for Scalable Solutions

https://techbullion.com/innovating-data-architectures-for-machine-learning-paving-the-way-for-scalable-solutions/

The critical components of a scalable data architecture are essential for enabling seamless integration between data engineering and machine learning processes.

Researchers develop a new humanoid platform for robotics research

https://techxplore.com/news/2024-08-humanoid-platform-robotics.html

Robot swarms? Collective intelligence?

IO-Link Transforms Predictive Maintenance and Sensor Management for Efficiency

https://www.assemblymag.com/articles/98722-io-link-transforms-predictive-maintenance-and-sensor-management-for-efficiency

IO-Link has evolved from a simple tool to a revolutionary technology that enhances predictive maintenance and sensor management within Industry 4.0.

Creating a federal low-code center of excellence

https://federalnewsnetwork.com/commentary/2024/08/creating-a-federal-low-code-center-of-excellence/

Agencies are accelerating modernization with low-code tools that put business teams in the driver’s seat and centers of excellence to support their efforts.

New AI model can hallucinate a game of 1993’s Doom in real time

https://arstechnica.com/information-technology/2024/08/new-ai-model-can-hallucinate-a-game-of-1993s-doom-in-real-time/

Why write rules for software by hand when AI can just think every pixel for you?

The IoT Trends Shaping Industry in 2024 and Beyond

https://iotbusinessnews.com/2024/09/01/08700-the-iot-trends-shaping-industry-in-2024-and-beyond/

IoT is no longer just a buzzword. It’s essential

From Intent to Competitive Edge: The Data-Driven Path to AI in Manufacturing

https://www.rtinsights.com/from-intent-to-competitive-edge-the-data-driven-path-to-ai-in-manufacturing/

Smart technologies, such as artificial intelligence (AI), machine learning (ML), and advanced analytics, are becoming increasingly critical for overcoming challenges in the manufacturing enterprise.

AI brings a whole new dimension to the challenge of organizational transformation

https://techcrunch.com/2024/08/31/ai-brings-a-whole-new-dimension-to-the-challenge-of-organizational-transformation/

Part of the problem is technical debt , the notion that an organization’s tech stack has to evolve to take full advantage of the new technologies, rather than using a set of technical capabilities designed for a prior era. It’s not easy to try and change something that is fundamental to running a business without risking messing up what works already

Silicon Valley’s Hot Talent Pipeline Is an Israeli Army Unit

https://www.wsj.com/tech/silicon-valleys-hot-talent-pipeline-is-an-israeli-army-unit-e8368b4d

Unit 8200 has become an incubator for cybersecurity startups defending the world’s biggest companies against hackers

How No-Code Machine Learning Platforms Are Revolutionizing Data Science for Non-Experts

https://aithority.com/machine-learning/how-no-code-machine-learning-platforms-are-revolutionizing-data-science-for-non-experts/

No-code machine learning (ML) is an approach that allows users to build, train, and deploy machine learning models without requiring any coding expertise

A book about books about AI

https://www.ronimmink.com/product/a-book-about-books-about-ai/

Taking the perspective from over 22 books/authors covering intelligence, work, synthetic biology, transhumanism, economics, spiritualism, digital transformation, data, etc. When you go through the books again, you start to wonder if we are asking the right questions.

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