Five new Artificial Intelligence solutions enter this year’s Gartner Hype Cycle for AI, where democratization and industrialization of AI stand out as megatrends in 2020.
“Quality sells itself. No hype needed.”
If I tell you that 47% of investments in Artificial Intelligence have remained unchanged since the beginning of the pandemic, what would you say?
“YOU GUYS ARE CRAZY”
What’s more, if I tell you that 30% of companies have planned to increase these investments …
While it is true that 16% have decided to temporarily suspend AI Projects, only 7% have decided to reduce those investments.
Indeed friends … EVERYTHING REMAINS THE SAME!
AI projects are still underway and in some sectors such as Healthcare, Manufacturing, Financial Services or Supply Chain they are accelerating especially despite the current economic and social uncertainty.
In fact, let’s talk about the 5 New Technologies that we will start talking about, if not already, in the coming months …
Every year, Gartner publishes a graphical representation of the maturity and adoption of new and existing technologies and applications in the market allowing discernment between what is considered Hype and what is commercially viable, offering its vision of how these technologies will evolve to over time and helping to reduce the risk of investment decisions in these technologies.
Most popular Data Science and Machine Learning courses — August 2020. This list was last updated in August 2020 — and will be updated regularly so as to keep it relevant
Artificial Intelligence, Machine Learning, and Data Science are amongst a few terms that have become extremely popular amongst professionals in almost all the fields.
Simple explanations of Artificial Intelligence, Machine Learning, and Deep Learning and how they’re all different
Artificial Intelligence (AI) will and is currently taking over an important role in our lives — not necessarily through intelligent robots.
Data Augmentation is a technique in Deep Learning which helps in adding value to our base dataset by adding the gathered information from various sources to improve the quality of data of an organisation.