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Digital transformation mindcandy 24 March 2025
Today’s topics are technical debt, LCAI, real time data analytics, code vs no-code, citizen development, enterprises of the future, AI and cloud, data enrichment, AI infrastructure, and getting value out of data.
Are you getting the full value out of your data?
Digital Transformation: Where Do We Go From Here?
Ironically, the speed and efficiency technology brings to most professionals’ workdays can lead to slowdowns for engineering teams in the form of heavy workloads, rapidly accumulated technical debt and constant context switching.
How large organizations create value through low-code AI
Artificial Intelligence (AI) is transforming industries through automation, improved decision-making, and human-like interactions. However, many organizations struggle to fully harness its potential due to its complexity and the need for specialized expertise.
How Real-Time Data Analytics Is Transforming Customer Interactions
https://www.rtinsights.com/how-real-time-data-analytics-is-transforming-customer-interactions/
With AI’s help, real-time data analytics transforms customer interactions by enabling businesses to respond faster, optimize operations, and enhance service quality.
Code vs. No-Code AI: Which Approach Drives Business Growth?
https://www.designrush.com/news/how-code-no-code-ai-boost-growth-unico-connect
Low-code and no-code AI platforms facilitate rapid deployment and accessibility, making AI more attainable for businesses with limited expertise.
Citizen Development: The Wrong Strategy for the Right Problem
GenAI is replacing citizen development. Here’s why that’s a good thing.
Enterprises of the future: Navigating the next wave of transformation
With evolving technologies and increasing expectations, enterprises must accelerate digital transformation.
The role of AI and cloud in true digital transformation
While digital transformation is undoubtedly essential to business growth, capitalizing on it means tapping into the latest technological trends — with the integration of AI into cloud transformation one of the biggest opportunities for the enterprise in the current landscape
Connected Data, Better Insights: Data Enrichment Done Right
Bringing data from different sources and formats together, identifying relationships and patterns, and deriving insights that were previously difficult or impractical to detect.
Future-Proofing Storage for AI: A Fool’s Errand or a Strategic Imperative?
https://www.cdotrends.com/story/4481/future-proofing-storage-ai-fools-errand-or-strategic-imperative
We chase the bleeding edge of AI, mesmerized by each new model’s superhuman feats. But what if we’ve built the foundation on sand? We’ve fundamentally misunderstood building AI infrastructures, especially storage, erecting digital cathedrals on a faulty blueprint.
AI puts value in the data. So how do we get it out?
https://blocksandfiles.com/2025/03/20/ai-puts-value-in-the-data-so-how-do-we-get-it-out/
While AI is fueling this spending boom, many of the underlying challenges facing CIOs haven’t changed. These include driving innovation, streamlining operations, and reducing the total cost of operations, all within the maelstrom of a constantly evolving tech and business landscape.
