AI has become big business but how will businesses utilise this technology moving into 2024?

The impact of Artificial Intelligence (AI) is pervasive in our world today. As 2024 approaches, AI’s presence is firmly embedded in our daily lives.

AI ranges from machine learning that powers personalised recommendations to Natural Language Processing systems that hold conversations with us and computer vision that interprets visual data. All this now forms an integral part of our tech world. It will also become used by industries across the world, from engineering to solicitors in central Glasgow.

In this article, our focus will be on how AI will reshape businesses in the coming year, contemplating its influence on employment, efficiency, and workforce well-being. Join us in this journey to uncover how AI, epitomised by ChatGPT, is set to transform businesses in the near future.

What is AI?

AI, or artificial intelligence, encompasses various technologies, each designed to replicate human-like cognitive functions. Types of AI include machine learning, natural language processing (NLP), computer vision, and the emerging field of generative AI. Generative AI, represented by models like ChatGPT, holds particular promise, with the ability to create content, translate languages, and answer questions comprehensively.

Automation is another transformative force which involves using technology to perform tasks traditionally carried out by humans. As we delve into how AI will impact businesses in 2024, we’ll explore its potential to enhance efficiency, raise productivity, and enable better decision-making. However, we’ll also address concerns about job displacement and burnout.

The Different Types of AI

Machine Learning

Machine learning is a subset of artificial intelligence that focuses on enabling systems to learn and make predictions based on data. It has a broad range of applications, including:

Fraud Detection

Machine learning algorithms can analyse transaction data to identify unusual patterns or anomalies, making them valuable in fraud detection systems.

Product Recommendation

Platforms like Netflix and Amazon use machine learning to recommend products or content based on a user’s past behaviour and preferences.

Medical Diagnosis

Machine learning models are employed to analyse medical data, aiding in the diagnosis of diseases and identifying treatment options.

Some popular machine learning frameworks and libraries include TensorFlow, PyTorch, Keras, scikit-learn, and

Natural Language Processing (NLP)

Natural Language Processing is the AI domain that allows computers to understand, interpret, and generate human language. NLP has a wide array of applications, including:

Machine Translation

NLP is behind services like Google Translate, making it possible to automatically translate text between languages.

Chatbot Development

Chatbots use NLP to understand and respond to human queries, providing customer support and facilitating conversations.

Text Analysis

NLP can analyse large volumes of text data, extracting insights, sentiments, and key information. Prominent NLP tools and libraries include spaCy, NLTK, Gensim, Hugging Face Transformers, and the Google Cloud Natural Language API.

Computer Vision

Computer vision enables machines to understand and interpret visual data from the world. This type of AI has a multitude of applications, such as:

Image Recognition

Computer vision can identify objects, people, or places in images and videos, essential for security and autonomous vehicles.

Facial Recognition

It’s used for identity verification, access control, and personalised marketing.

Autonomous Driving

Computer vision plays a critical role in enabling self-driving cars to navigate and make decisions based on visual data.

Popular computer vision tools and libraries include OpenCV, PyTorch Lightning, TensorFlow Hub, and the Google Cloud Vision API.

Generative AI

Generative AI is a nascent field with exciting potential. It involves AI systems creating new content, whether it’s images, text, music, or more. Some of the examples of generative AI models include:


This generative AI model can produce text, translate languages, and answer questions comprehensively. It’s a versatile tool that can generate various types of creative content like poems, code, scripts, and more.


Known for generating images from textual descriptions, DALL-E 2 is another example of generative AI.


This model is designed for image generation and manipulation, showing the capabilities of generative AI in creating visual content.


It’s another model that exemplifies generative AI, exploring possibilities in text and content generation.

MuseNet and Jukebox

These models venture into generating music, paving the way for AI-generated compositions.

Generative AI, including Chat GPT, is a cutting-edge technology still evolving to explore its full potential, but it already demonstrates the ability to perform a wide range of creative tasks, from writing diverse content to answering open-ended questions thoughtfully. It’s a fascinating field that holds the promise of transforming various industries in the near future.

How AI Will Change Things for Businesses in 2024

AI is already a significant driving force behind business transformation, and its influence will only grow in 2024. Here are some keyways in which AI is changing business outlook and approaches:

Improved Customer Service

AI-powered chatbots and virtual assistants are providing round-the-clock customer service and support. These technologies can engage with customers, answer queries, and handle routine tasks, freeing up human agents to tackle more complex issues.

Increased Efficiency

AI’s automation capabilities are streamlining various operational aspects. Tasks such as data entry, scheduling, and invoicing are being automated, enabling employees to concentrate on higher-value tasks, such as problem-solving and creativity.

Enhanced Decision-Making

AI excels in data analysis. It can process large datasets to detect patterns, trends, and anomalies that humans might overlook. This data-driven insight supports better decision-making across different aspects of a business, including product development, marketing, and supply chain management.

Will AI Put People Out of Jobs?

The impact of AI on employment is multifaceted. While it’s true that automation is rendering some jobs obsolete, AI is also generating new employment opportunities. Roles like AI developers, data scientists, and machine learning engineers are in high demand.

The overall effect on the job market is likely to be mixed. Some jobs will disappear, while others will be created. The key for workers is to stay adaptable by learning new skills and adapting to evolving job requirements.

Will AI Make Things More Productive and Efficient?

Undoubtedly, AI is making businesses more productive and efficient. By automating repetitive and time-consuming tasks, AI allows human workers to focus on tasks that require creativity, problem-solving, and emotional intelligence. The result is often increased productivity and more efficient operations.

Will AI Cause Burnout?

AI can help reduce burnout by handling monotonous tasks and freeing up human workers to focus on meaningful, high-value activities. However, it’s essential to use AI responsibly. Excessive demands, constant notifications, and a relentless pace can lead to burnout. Businesses must strike a balance in deploying AI to enhance productivity without overwhelming their workforce.

AI changing the way businesses work…

AI’s transformative power is poised to revolutionise businesses in 2024. As we embrace these changes, it’s essential to remain proactive and adaptive. The potential for AI to enhance productivity, support better decision-making, and create new opportunities is vast.

However, it must be harnessed responsibly to mitigate potential challenges like job displacement and burnout. AI, when used thoughtfully, is a powerful tool for improving businesses in numerous ways. It’s an exciting journey into a future where human intelligence and artificial intelligence collaborate for even greater success.

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