3 Trends Worth Keeping an Eye on in Ai That Your Business Could Benefit From

3 Trends Worth Keeping an Eye on in Ai That Your Business Could Benefit From

AI is constantly evolving and demonstrating its great capacity to adapt to new fields of activity and new applications. To demonstrate this, we've identified 3 AI trends that companies like yours could take advantage of to become more efficient and competitive.

Ready to learn more? Follow along to discover it!

1. Lowering the entry barriers

When it comes to accessing AI solutions, the entry barriers are getting lower due to new innovations in the industry that reduce costs, increase efficiency and expand application areas.

For example, multiple AI techniques can now be combined to optimize desired outcomes and reduce costs. We are also seeing the rise of simplified solutions that allow non-specialists to use applications once reserved for IT experts.

2. Diversification of sectorial applications

The development of AI solutions is expanding to a growing number of business areas. Here are 3 examples of industries that artificial intelligence is slowly but surely, transforming:

Energy and utilities:

The use of smart meters in electricity, gas, and water networks is enabling leak detection, anticipating maintenance needs, better network management, and anomaly detection.

According to research firm IOT Analytics, "more than 203 million smart meters will be installed worldwide by 2024, representing as many data collection points. "2


Automating the processing of documents from policyholders[1] is just one example of how insurers can speed up file review, reducing costs and improving operational efficiency.

AI can also help to more easily detect fraud and obtain data for personalized underwriting policies based on policyholder profiles. In addition, speech analytics applications can help customer service agents better understand customers and tailor their services accordingly.


AI-based tools have proliferated in this sector in recent years, paving the way for applications in dermatology, cancer, and epidemiology. Some AI algorithms are said to anticipate metastasis and thus increase the chances of survival of kidney cancer patients by 20% to 80%[2]. In epidemiology, AI can be used, among other things, to make projections of the spread of pandemics.

3. Generative artificial intelligence (or "design"):

You may have heard of artificial intelligences that can "design" advertisements or even works of art? In fact, these are AI algorithms that create "new content" from existing content, such as text, audio or images. For example, the AI is given a description of a known work of art, such as Leonardo da Vinci's Mona Lisa, and it creates its own version, based on the original.

Several industries are already using generative AI to help them innovate and design new products. Airbus has reportedly created a new bulkhead for the cockpit of its A320, and Decathlon, a major French sports retailer, is reportedly using it to design bikes, shoes and other items.

In particular, generative AI could help the pharmaceutical industry greatly accelerate molecule discovery and drug development. Research firm Gartner predicts that more than 30 percent of new drugs will be discovered using generative AI techniques by 2025.

Artificial intelligence: accessible to all!

Contrary to popular belief, AI is not reserved for large, wealthy corporations. Its applications touch more and more sectors and now offer the possibility for companies of all sizes to take advantage of its benefits and make giant leaps in terms of efficiency, innovation, reduction of operational costs and increase of profits.

Interested in finding out how AI could be integrated into your business or what processes it could simplify and automate? Contact us to discuss!


References :

SIA PARTNERS. Les tendances de l'intelligence artificielle à l'horizon 2022-2023, janvier 2022, 28 p.

GARTNER. Building a Digital Future: Emergent AI Trends, avril 2022.

MEJRI, Kais. « Les tendances futures de l'intelligence artificielle : où va l'IA? », dans blogue LinkedIn Pulse, [En ligne], 21 avril 2022. [].

HUET, Benoît. « Le futur de l'IA : vers un IA générative », dans blogue Le monde informatique, [En ligne], 9 décembre 2021. [https://www.lemondeinformatiqu...]. (Consulté le 6 octobre 2022).

IOT ANALYTICS. Smart Meter Market 2019: Global Penetration reached 14% - North America, Europe ahead, [En ligne], 13 novembre 2019. [].

[1] Center for Security and Emerging Technology. 2022 AI Index Report, Chart: Number of AI Patent Filings, 2010-2021.

[2]ITO Analytics, Smart Meter Market Report 2019-2024.



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