What is Augmented Eternity? Is it amazing or awful?

What is Relational Machine Learning?

A dive into fundamentals of learning representations beyond feature vectors

From AI to ML

• Generally speaking, deriving mathematical models of complex systems is at the core of any scientific discipline. Researchers have always tried to come up with equations governing the behaviour of their systems of interest, ranging from physics and biology to economics.”

WHY AI’s objectivity is dangerous

Turtles all the way down: Why AI’s cult of objectivity is dangerous, and how we can be better

This article was contributed by Slater Victoroff, founder and CTO of Indico Data.

There is a belief, built out of science fiction and a healthy fear of math, that AI is some infallible judge of objective truth. We tell ourselves that AI algorithms divine truth from data, and that there is no truth higher than the righteous residual of a regression test. For others, the picture is simple: logic is objective, math is logic, AI is math; thus AI is objective.

Why Data Management is Today’s Most Important Business Discipline

Data management has become part of every manager’s mandate.

“Why do I think Data Management is the most important business discipline for the 21^st century (and why my “Big Data MBA” book and course are more relevant than ever)?  Here is my self-serving logic:

1. Artificial Intelligence (AI) is the most powerful business discipline of our generation (with AI’s ability to continuously learn and adapt to create new sources of customer, product, service, and operational value).
2. The ability for AI to drive effective and responsible decisions is uber highly dependent upon high-quality, accurate, complete, unbiased data sets
3. Data management focus on manufacturing high-quality, accurate, complete, unbiased data sets is instrumental to the economic growth in the 21st century.
4. Thusly, Data Management is the most important Business Discipline of the 21st century”

The Metaverse May Never Arrive, And Here’s Why

Building a metaverse puts strains on natural resources

• The metaverse isn’t here yet, primarily because of scarce resources.
• Issues like lack of storage and bulky headsets are stymying progress.
• Shortages of precious metals are creating ethical issues and environmental concerns.

Metaverse has become the new buzzword, yet it doesn’t exist yet. Progress towards the digital utopia is slow, and with good reason: lack of storage capability, inability to create a fully immersive experience and physical limitations like bulky virtual reality (VR) headsets are just a few of the roadblocks to the metaverse.

Is artificial intelligence better than humans at making money in financial markets?

Despite all their imperfections, empirical evidence suggests humans are currently ahead of AI.

Artificial intelligence has now closely matched or even surpassed humans in what were previously considered unattainable areas. These include chess, arcade games, Go, self-driving cars, protein folding and much more. This rapid technological progress has also had a huge impact on the financial services industry. More and more CEOs in the sector declare (explicitly or implicitly) that they run “technology companies with a banking license”.

There is also a rapid emergence and growth of the financial technology industry (fintech), where technology startups increasingly challenge established financial institutions in areas such as retail banking, pensions or personal investments. As such, AI often appears in behind-the-scenes processes such as cybersecurity, anti-money laundering, know-your-client checks or chatbots.