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Digital transformation mindcandy 10 April 2025
Today’s topics are the top 20 AI tools, IoT, data quality, data management, AI trends, business intelligence, digital transformation strategy, risk management, data strategy, and chaos engineering.
The top 20 AI tools of 2025 – and the #1 thing to remember when you use them
The 2025’s ZDNET Index of AI Tool Popularity and how ChatGPT, Canva, Gemini, Copilot, and more stack up in market share.
The silent revolution of the IoT: connecting the world, transforming life
As a child, watching films like ‘Back to the Future’, ‘Total Recall’, ‘The Stepford Wives’ and many others, I dreamed of the day when technologies such as augmented reality glasses, touch technologies, home automation and artificial intelligence would fascinate me, imagining how technology could change our lives. Today, all these technologies are at our fingertips
Data’s dark secret: Why poor quality cripples AI and growth
https://www.cio.com/article/3956176/datas-dark-secret-why-poor-quality-cripples-ai-and-growth.html
Poor data sabotages AI and strategy despite significant investments. Leaders must act now to build trust and unlock true value.
The double-edged sword of AI: Why strong data management is essential
https://www.calcalistech.com/ctechnews/article/sktdq9wcje
Organizations that invest in solutions to map, classify, and secure their data are the ones that will thrive in the AI era
Winning AI Trends for Digital Future in 2025
https://www.industryleadersmagazine.com/winning-ai-trends-for-digital-future-in-2025/
There is little doubt that artificial intelligence (AI) will continue to be the most talked-about technology of 2025
Turning data into gold: the business intelligence story
Businesses often struggle with data overload
21 Digital Transformation Strategies for Success in 2025
https://www.imd.org/blog/digital-transformation/digital-transformation-strategies/
To execute successful digital transformation initiatives, companies must focus on key areas such as technology infrastructure, strategic planning, organizational change, talent development, and continuous learning
7 risk management rules every CIO should follow
https://www.cio.com/article/3954997/7-risk-management-rules-every-cio-should-follow.html
A PwC Global Risk Survey found that 75% of risk leaders claim that financial pressures limit their ability to invest in the advanced technology needed to assess and monitor risk.
How CIOs can course-correct data strategies with AI goals in mind
https://www.ciodive.com/news/AI-ready-data-strategy-CIO-approach-tips/744513/
Enterprises have long grappled with data dilemmas, from access management to security and hygiene. Those challenges are now amplified by the rush to add AI, a technology that hinges on a solid data foundation.
How tech giants like Netflix built resilient systems with chaos engineering
Chaos engineering – a proactive approach that allows companies to intentionally introduce failures or disruption into their system in a controlled manner to understand how the system behaves under stress.
