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Digital transformation #mindcandy 12 May 2025
Today’s topics are data management, database administration, AI agents, DNA, coding, AI x SAAS, and industrial value.
Computers will be better than humans at writing code
The New Rules of Data Management
https://www.oxfordeconomics.com/resource/the-new-rules-of-data-management/
As data volumes surge, organizations are struggling with data accessibility and visibility. Traditional data management approaches have led to increased costs and added complexity.
The Impact of Data Governance on Database Administration
From regulatory compliance to data quality and security, DBAs must navigate an evolving landscape where effective data management is a key business priority.
Isolating AI Agents May Be ‘Strangling’ Your Enterprise
An AI agent that is siloed is deployed for single tasks within lone systems, operating isolated from the rest of an organization’s departments or data sources. Think of it as an employee who’s cut off from coworkers: Isolation deprives an AI agent of context that it could use to learn, operate and better serve its purpose.
How much information is in DNA?
https://dynomight.substack.com/p/dna
In principle, your DNA could represent around 212,000,000,000 different patterns
Coding emerges as generative AI’s breakout star
https://www.fastcompany.com/91330342/coding-emerges-as-generative-ais-breakout-star
Some estimates suggest that writing code now accounts for half of large language model usage. Forever after that point computers will be better than humans at writing code
AI x SaaS: The next wave of enterprise innovation
We only hear about the breathtaking growth stories… but we should not conclude that this is the average case. What’s really changed is the cost of building. Smaller teams can now create world-class products, thanks to AI copilots, smarter sales and support systems, and hyper-automated ops.
How to unlock AI’s industrial value while managing its risks
https://tech.yahoo.com/ai/articles/unlock-ais-industrial-value-while-141933692.html
Hurdles such as unstructured data, uncertain model accuracy, and gaps in governance are preventing many organizations from getting the full benefit of AI tools.
