Digital transformation mindcandy 11 April 2024
With AI, technology abstraction and citizen development at enterprise level, digital transformation will never be the same. Particularly deciding where you will apply AI in your business model is an almost immediate consideration.
AgilePoint
Hence, a separate mind candy focussed on digital transformation with the compliments of AgilePoint. AgilePoint has been innovating in this space for 20 years. They have approached digital transformation from a fundamentally different perspective, with a focus on meta-abstraction, complexity reduction, and codeless future-ready architecture. This allows large enterprises to apply AI and digital twinning and achieve maximum adaptability (with no technical debt).
Topics 11 April 2024
The topics are coding (and technology abstraction in education), AI in manufacturing, AppSec, tech upgrades, e-commerce, synthetic data, the 2024 MAD (Machine Learning, AI & Data) landscape and quantum day.
The advent of AI marks a pivotal moment where subject matter experts and domain specialists can harness cutting-edge technology without delving into the intricacies of coding.
In the contemporary landscape of manufacturing, a silent revolution is taking place, driven by the integration of artificial intelligence (AI) into various processes. As factories become smarter and more interconnected, AI is poised to revolutionize the way manufacturers operate
If application security (AppSec) professionals thought the problems of code complexity, code bloat, and the poor state of software supply chain security (SSCS) were bad enough, they had better strap in. Things are about to get a heck of a lot worse with the cross-pollination of generative AI (GenAI) code creation and low-code/no-code development.
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20 members of Forbes Technology Council share affordable technology upgrades that can lead to a big boost in productivity and/or security—and ultimately pay for themselves to boot.
In the ever-evolving landscape of e-commerce, technological advancements continuously redefine the sector’s boundaries, promising unparalleled opportunities and efficiencies.
If AI can grow large on data generated by AI, it would not only solve the training data shortage, but could also eliminate the looming problem of AI copyright infringement.
In 10+ years covering the space, things have never been as exciting and promising as they are today. All trends and subtrends we described over the years are coalescing.
“Q-Day” is a scenario where “no more secrets” becomes a reality, as previously secure communications and data could be vulnerable to decryption by entities wielding quantum computational power (also known as “Quantum Supremacy”).