5 Top artificial intelligence trends for 2024

Artificial intelligence (AI) has opened new doors for both businesses and individuals alike, as the technology becomes more capable of performing human tasks we once thought impossible. This year alone is poised for even further advancements in the AI field, bolstering innovation, growth, and change across industries.

Let’s dive into key AI trends to watch out for in 2024 and how to best leverage them for your business.

Advancements in generative AI

The rise of generative AI (or “gen AI”) means that the technology is now capable of creating new, high-quality content, including original videos, music, text, and imagery. No longer limited to the use of tech companies, this subset of AI is now making waves across varying industries, including the food sector, where it has the potential to come up with new flavors and product ideas, and healthcare, where it could be used to create personalized treatment plans.

These advancements have also become more accessible and user-friendly, with tools and platforms integrating these capabilities seamlessly. Such applications include the widely used Chat GPT-3.5, Google’s TensorFlow, and Microsoft Azure’s suite of AI services. These platforms empower a wide group of users — including content creators, designers, and businesses seeking innovation and distinction in their offerings — providing them with an array of tools to enhance productivity, efficiency, and growth. 

AI revolutionizing customer service

AI is now being used to enhance the quality of customer service, improving how client queries are handled and how problems are solved. This includes implementing AI-powered chatbots and virtual assistants to address simple customer inquiries, such as basic troubleshooting, without the need for human intervention. As such, human agents can focus on more complex issues that require personalized attention.

Gen AI is also being incorporated into these tools, helping personalize interactions by analyzing customer data and behavior patterns. This results in more tailored recommendations or solutions that better fit a customer’s needs and preferences.

Ethical considerations in AI development

With its power to impact lives in significant ways, developers will need to continuously assess the right and wrong ways of using and improving AI technology. A key concern is bias in AI systems, which occurs when its algorithms are trained on biased data or have inherent biases in their design. This can lead to unfair outcomes, such as discrimination against certain groups of people. Transparency is another important principle, as AI developers will need to be clear about how these systems work and what data they use, ensuring trust and understanding among users and stakeholders.

Then there’s the issue of job displacement. AI has the potential to automate plenty of tasks currently done by humans. However, while AI automation boosts efficiency, it can also result in job losses. It’s essential to consider the impact of AI on employment and ensure measures are put in place to support workers affected by automation.

Augmented intelligence in workplaces

“Augmented intelligence” refers to the integration of AI in workplaces to enhance human productivity. In other words, this involves using AI as a tool to assist humans in their work, rather than replacing their roles altogether. For example, AI can aid software developers in writing code, testing, and debugging, thereby accelerating the development lifecycle. The emergence of AI agents in customer support ensures that routine processes are well-managed (e.g., customer queries and chat messages), allowing employees to focus on higher-level tasks.

AI-powered tools could also benefit students by helping them organize notes and conduct research. Moreover, AI’s role in the job market extends to assisting job seekers with crafting their resumes and acquiring the relevant skills they need through online training programs.

Quantum AI and legislation

Quantum computing’s ability to process vast amounts of data and perform complex calculations at incredible speeds lends itself to new applications in AI, such as training larger and more sophisticated neural networks and algorithms. It can significantly enhance the efficiency and performance of AI models, leading to breakthroughs in areas like natural language processing, image recognition, and predictive analytics. This can lead to further innovation and the ability to solve complex problems initially considered impossible.

However, these advancements also bring regulatory and legislative considerations. There must be standards and frameworks set particularly for AI technologies, including quantum AI, to strike a balance between fostering innovation and ensuring responsible and ethical use. 

International collaboration may be essential in addressing the global implications of quantum AI and harmonizing regulatory approaches across jurisdictions. This includes sharing best practices, exchanging knowledge, and establishing common standards to promote transparency, accountability, and trust in using such technologies.

Keep pace with the latest AI developments by ensuring your IT systems stay upgraded and secure. Our experts at Interplay are here to help – get in touch today.