Generative AI is not a new concept.

It was first introduced in the 1960s in chatbots, but it was not until 2014, with the introduction of generative adversarial networks, that Generative Ai could create images, videos, and audio of real people.

This technology allows businesses and individuals to create content at an unprecedented speed and scale, improving data, analytics, communication, and learning.

If you are a business owner looking to scale your operations or an individual looking to explore the possibilities of Generative AI, this guide will provide you with all the necessary information to get started.

What Is Generative AI?

Generative AI (Gen AI) is an artificial intelligent technology that learns from existing data to generate new, realistic data (at scale). The generated data does not copy and paste the existing data but rather creates new data that is similar to the existing data.

Gen AI can produce a variety of content, including text, video, image, speech, software code, and designs, in seconds.

Generative AI is a natural language processing (NLP) technique that uses algorithms to analyse and understand language patterns, concepts, and relationships between words. It requires individuals to provide data to generate the desired output.

With more data, Gen AI can produce more accurate and diverse results.

How Does Generative AI Work?

Generative artificial intelligence works by using a set of algorithms, known as neural networks, to analyse the data provided and create new data that is similar to it. This process is called training.

During the training phase, the algorithm learns patterns and relationships between the data points and uses them to generate new content. The more diverse and high-quality the input data is, the better results Gen AI can produce.

Once trained, Generative AI can be used for a variety of tasks such as content creation, language translation, chatbots, and even predicting future outcomes based on historical data.

To use generative AI, the following process is generally followed:

• Prompt: A prompt is provided to the algorithm, which serves as a starting point for generating new content.
• Data Analysis: The algorithm analyses the input data and identifies patterns and relationships.
• Generation: Based on the analysed data, the algorithm generates new content that is similar to the input data.
• Refinement: Humans review and refine the generated content to ensure quality and accuracy.
• Iteration: If necessary, this process can be repeated multiple times until satisfying results are achieved.

Applications of Gen AI

Generative AI has numerous applications in various industries, including:

Content Creation: With its ability to generate text, images, videos, and design elements, Gen AI is revolutionising content creation for marketing, advertising, and media industries.

Chatbots: Generative AI can be used to create intelligent chatbots that can engage in conversations with users and provide them with relevant information or assistance.

Design and Creativity: Using generative AI, designers and artists can generate new ideas and designs they may not have thought of independently. This is especially useful for tasks like logo design or creating unique patterns.

Forecasting and Prediction: Generative AI can predict future outcomes and trends by analysing historical data. This can be useful in various fields, including finance, marketing, and economics.

Analytics and Insights: Generative AI can analyse large amounts of data and generate insights, helping businesses make informed decisions based on data-driven intelligence.

Benefits of Gen AI

As mentioned before, various industries can use this technology to enhance their processes and achieve better results.

Some of the main benefits of generative AI include:

• Automate repetitive tasks, which means freeing up time for employees to focus on more strategic initiatives.
• Improve decision-making processes by providing data-driven insights and predictions.
• Enable businesses to create more personalised and relevant content for their target audience, leading to better engagement and customer satisfaction.
• Assist in design and creativity tasks, allowing for more unique and innovative ideas.
• Enhance customer service and support through intelligent chatbots that can handle a wide range of inquiries and tasks.
• Identify patterns and trends that may not be obvious to humans, leading to new discoveries and innovations.

Popular Generative AI Tools and Platforms

Individuals can only access generative AI through free or paid third-party tools and platforms. Some popular ones include:

Dall-E: Created by OpenAI, Dall-E is a text-to-image generative AI tool that can generate high-quality images from text descriptions.
ChatGPT: Created by OpenAI, ChatGPT is an AI-powered chatbot platform that can engage in human-like conversations.
Gemini: Created by Google, Gemini is a generative AI-powered platform that can generates efficient and visual responses to user queries.

There is another platform that allows you to add generative AI to your analytics and business processes – Qlik.

Let’s talk more about it.

Qlik and Generative AI

Qlik is a leading data analytics platform that offers a range of powerful tools and features to help businesses make better decisions, improve efficiency, and drive growth.

One of the latest additions to this business intelligence platform is a suite of OpenAI connectors that deliver a ChatGPT experience in Qlik Cloud.

This new release features automation connectors and real-time analytics integration, enabling users to request and embed gen AI content directly in their analytics. With this capability, you can leverage the rich content from gen AI in several ways.

This includes:

• Enhancing analytics with natural language insights from OpenAI.
• Combining third-party data with your existing data models.
• Asking questions in real-time using data from Qlik.

What can you do with Qlik’s Gen AI?

Qlik’s Gen AI offers a wide range of possibilities. Here are a few tasks you can perform with this platform:

• Generate natural language insights: Enhance existing analytics by incorporating natural language insights.
• Synthesise data: Request synthesised data to enrich your data model.
• Ask questions: Utilise input elements in the applications to formulate questions and submit them to OpenAI for real-time responses.

Experience Generative AI Today!

Generative artificial intelligence is a powerful tool that can significantly improve your business operations or personal decision-making processes.

For the ultimate business Gen AI platform, invest in Qlik. This platform provides a seamless integration of OpenAI’s technology, allowing you to experience the full potential of gen AI.

Contact us at B2IT today.

We’re Qlik’s trusted partners in South Africa, and we can help you get started with this game-changing technology.