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      Automate the Creative Process With Generative AI

      Jun 12, 2023

      3 minute read

      AI has transformed the way organizations work.

      According to reports, 37%[1] of people working in advertising and marketing in the U.S. have used AI at work, for assistance.

      Amid the rise of generative AI, you can now quickly generate content based on your input.

      This capability of generative AI has made it a valuable resource for businesses across the globe.

      In this blog post, we will look at what the buzz around generative AI is all about.

      We will also look at how it will help businesses transform the way they connect with customers. Let’s begin!

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      Why is Generative AI Trending?

      Generative AI is designed to mimic the ways humans interact. In a short amount of time, it has generated global traction.

      In fact, the generative AI market will grow at 26%[2] and reach $15.7 trillion in value by 2030.

      In the U.S., 29%[3] of Gen Z, 28% of Gen X and 27% of millennials used generative AI tools.

      How Generative AI Works

      Generative AI leverages neural networks for identifying structures and patterns in order to produce text, images, video, and graphics, in seconds.

      It enables you to use large volumes of unlabeled data and create foundational models.

      These models are the templates for AI systems to perform multiple tasks.

      Generative AI Models

      • Generative Adversarial Networks (GANs)

      These networks enable you to create visual and multimedia content with both imagery and textual input data. An example of this is Midjourney, which takes input in the form of images and text and produces visual and multimedia content.

      • Transformer Based Models

      These technologies enable you to use data and create textual output. An example of this are the Generated Pre-Trained (GPT) language models such as OpenAI’s ChatGPT.

      Evaluating Generative AI Models

      The key requirements for an effective generative AI model include:

      • Quality: High-quality output generation is key to evaluating generative AI models. If the text or image is difficult to comprehend, the model is not working effectively.
      • Diversity: A good generative AI model must produce content based on diverse datasets, without compromising on quality.
      • Speed: A generative AI model must generate content in a matter of seconds.
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      The Future of Generative AI for Enterprises

      These days, applications of generative AI such as the likes of ChatGPT and Midjourney have transformed the business landscape.

      The technology is set to be transformative. Let’s look at what’s in store for enterprises:

      1. Healthcare

      Generative AI can be a key contributor to medical research. It can help the healthcare industry with drug design, using research capabilities and reducing costs and timelines.

      2. For Interacting with Customers

      Generative AI enables you to respond to customer queries quickly and in a natural way, without human effort. Therefore, organizations will be looking to leverage its capabilities to interact with customers.

      3. For Developing Content

      One of the most important benefits of generative AI is that it produces good-quality content. Therefore, it will help organizations generate marketing content, write communications, and summarize lengthy documents in a short amount of time.

      4. For Producing Synthetic Data

      Generative AI will enable you to create synthetic data (a type of data derived from real-world direct observations without identifying specific data sources). This maintains data privacy. For example, in healthcare, patient privacy can be maintained by generating synthetic medical images, such as MRIs and CT scans.

      5. For Making Industrial Parts

      Using generative design, industries such as automobile, manufacturing, aerospace and defense can design parts. For example, aerospace industries can use it for making flight engines that are faster and save fuel.

      6. For Designing Semiconductor Chips

      Generative AI enables you to shorten the product development cycle with effective component placement in semiconductor chip design.

      A Brief Round-Off

      Generative AI has gained immense popularity in a short span of time. Its visual, audio, and text capabilities have made it revolutionary for the business landscape.

      The wave around generative AI indicates that in the future more business sectors will look to leverage its capabilities.

      Drive Business Growth With the Power of Generative AI. Contact Us.

      At Grazitti, we enable businesses to transform processes with generative AI.

      Begin your journey, today!


      [1] Statista
      [2] EnterpriseAppsToday
      [3] Statista

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