SortExpress: The Best Artificial Intelligence (AI) Trends To Look Forward To In 2023

(Isstories Editorial):- Holon, Centre Aug 3, 2023 (Issuewire.com) – SortExpress: The Best Artificial Intelligence (AI) Trends To Look Forward To In 2023

Those days are long gone when Artificial Intelligence (AI) was just limited to playing a few moves of chess or giving out correct responses to a few logical questions. In all its sensibility, AI has become as mainstream, as the word mainstream could ever be, and that’s a truth something that all the ChatGPT furor consolidated further.

The dominance has been such that recent times have seen topics of mass layoffs and unemployment due to AI, and that this is just the beginning is correct on a lot of fronts.

Take a few statistics to consider:

• The global Artificial Intelligence market is expected to reach a staggering $190.61 billion by the year 2025, compounded at 36.62%.
• Artificial Intelligence will add $15.7 trillion to the global GDP, giving it a thrust by a significant 14%.
• A ming-boggling 75% of top-tier executives are of the opinion that AI will give their organization a competitive edge.

It is quite apparent that the time of AI as just a beginning is far gone now. It’s now completely mainstream, and the few numbers mentioned sync with the analysts’ observations that AI has genuine potential to change the entire landscape of entire domains.

AI Trends to Look Ahead in 2023

Without waiting further, let’s dive into Artificial Intelligence trends that we think will play a pivotal role in the remaining part of 2023 and beyond:

1. The Rising Graph of Augmented Analytics

Augmented Analytics provides various AI tools with the capabilities for better data preparation and procedures for insight generation through Natural Language Processing (NLP) and Machine Learning (ML) deployment.

It can give a big, positive boost to the data exploration methods that are in use today, while entirely changing the way in which enterprises visualize data.

The ever-increasing importance of data culture will expose deep data insights to executives, making it easy to leverage changes without any special skills to work with data.

2. Increased Collaboration between Humans & AI

In a very short span of time, Artificial Intelligence has proven that it can support a lot of human activities and functions, and also that this is just going to increase. The term collaborative robots for human functions and AI together doesn’t sound unreasonable now.

Experts believe that more organizations will deploy solutions with in-built Artificial Intelligence to perform repetitive and time-consuming tasks. With such a practice, human counterparts will be able to devote more time to performing specialized duties.

Not just functions- AI capabilities can also empower teams to respond to system threats and failures in a swift manner, leading to better safety and lower costs in case of corrective actions.

Here are a few domains where collaborative AI can make a huge impact:

• Hospitality & Healthcare
• Agriculture
• Automobile Manufacturing
• Defense
• Electronics

3. The Prevalence of Low Code/No Code AI

With this shrinking world boasting of high levels of connectivity, democratizing low-code or no-code AI can be used by enterprises to optimize their workflows, forecast potential bottlenecks, and suggest corrective actions.

In domains that are more data-sensitive, businesses are more in line to benefit in their marketing, sales, and finance efforts. These are the areas where no code/low code AI assists in analyzing reports, suggesting changes, automating invoice generation processes, and more.

The use cases are countless, but the trend is picking up, and that’s available for everyone to see.

Here are a few benefits that no code/low code AI platforms bring to the table:

• Speed
• Utility
• Scalability
• Accessibility

Because its adoption in the enterprise scenario is given, it is expected that more and more cloud service providers will integrate Artificial Intelligence into their offerings in the time to come.

4. Empowered Cybersecurity

While the world of Artificial Intelligence is making everything better and more efficient, there is a flip side to it: cyber threat actors too have access to it. They can leverage Artificial Intelligence to drastically reduce their time-to-attack, springing a surprise to law enforcement agencies around the world.

As AI resources become the new normal for multiple industries around the world, critical infrastructure sections like electricity and water supply are vulnerable areas to hacking attacks. The larger organizations will be able to prevent such attacks, but the smaller ones will themselves be vulnerable to such attempts.

In such a situation, job opportunities for specialists will also open up, where they can look over AI security for:

• Managing system vulnerabilities
• Data handling
• Threat detection with predictive AI

An increase in cyber threats will also be giving the insurance agencies a push to put new technologies to use to better manage risks.

5. Voice Technology in AI

Voice tech won’t stay the same, as AI has started making sharp inroads into this technology as well. A couple of use cases for voice technology are given below:

Cloning: Artificial Intelligence can be leveraged to use an individual’s voice samples to create new audio. This will prove to be hugely helpful to record voiceovers in quick time for projects like songs, movies, games, and more. A lot of voice bank apps have also come up to shore, with a voice repository for different contexts and scenarios.

Biometrics: An increasing number of enterprises have started using voice as a part of their authentication process, substitutes for passwords and pins. Voice assistants with AI-enabled capabilities can draw comparisons between your recorded sample and the new voice received while unlocking a device.

These are just a couple of instances. Organizations can use voice-enabled AI to localize their marketing efforts like promotions, in native languages for different regions. There is still a long way to go, but AI voice is a trend that’s going to keep on growing, for sure.

6. Digital AI Twinning

Digital twins are digital replicas of an object, created by Machine Learning models to curate simulations of physical elements and then analyze their behavior patterns in real-time. The digital twin and AI ecosystem has become a great combination to achieve design synergies like never before, and it has enabled 3D model sharing across different tools to be simpler, and more accessible than ever thought possible.

Human health monitoring, product chain optimization in industrial production supply chains, the concept of designs in architecture, and prototype testings are witnessing a new age of innovation with the digital twin scenario.

This connection of data points across digital twin systems will keep playing a vital role in the time to come.

7. Artificial Intelligence: Edge

The distributed nature of Edge computing framework has been in the news for a long time, and combining it with Artificial Intelligence has given rise to a new form: Edge AI. This new revolution has the capability to revolutionize data analysis by decentralizing it, in simple terms.

Edge computing cuts down the distance between the analysis of data and the sources of its interception, meaning that data analysis in real-time becomes a possibility in every way. While Edge AI is poised to grow without a doubt, the prevalence of IoT for better overall connectivity is helping it make a more solid case for itself.

Reduced energy usage through analysis of local infrastructure will surely be the trend going forward this year and beyond.

8. Automotive AI

Tesla was one of the first brands to announce that they are testing autonomous, or AI-powered driving systems for their vehicles, but a lot of automotive companies have been deep in their research for unearthing ways to leverage Artificial Intelligence into their mode of operations.

Features like Advanced Driving Assistance Systems (ADAS) and autonomous driving modes have already become the flagbearers of AI-powered motoring experiences, and it is being rightly touted that automation, and not electrification, will be the guiding light for the automotive industry going ahead.

The SortExpress Way

The trends that we mentioned are just a few of what we think will take the world and Artificial Intelligence forward. The promise of this technology has been embraced by every industry and domain on a colossal scale, and the times ahead look all the more promising for the revolution that AI poses to bring.

If you are a business looking to genuinely improve your marketing efforts by harnessing the capabilities of AI, then SortExpress is a hugely promising proposition. With cutting-edge algorithms and deep data analysis, SortExpress literally ‘sorts’ areas where your efforts need to be focused upon.

You can connect with our experts or visit our website https://sortexpress.com/ to know more.

Source :SortExpress

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