Generative AI Archive • Martin Kulawik

27. April 202428. April 2024

Outsourcing AI — A Privacy Disaster?

A futuristic robot with a humanoid face and multiple optical sensors holding a clipboard titled "Client Information," which lists the names, addresses, health statuses, financial risks, and IQ scores of two individuals.

The Hidden Risks of Third-Party AI Tools vs. the High Cost of Home-Grown Solutions

In the rapidly evolving digital landscape, service providers are increasingly looking to enrich their online platforms with generative AI technologies. These AI models can transform user interactions, streamline service delivery, and enhance customer engagement. The options for integrating these capabilities generally fall into two categories: utilizing third-party services like ChatGPT, or developing and hosting a custom AI model trained on proprietary data. Each approach has its unique set of implications, especially concerning user privacy, cost, and control.

2. February 20243. February 2024

The Impact of Generative AI on Content Marketing

Generative AI, with its ability to create text, images, and videos, is transforming the way content is produced, distributed, and consumed. This technology can generate high-quality content at scale, significantly reducing the time and resources required for content creation. For marketers, this means an unprecedented ability to create personalized and diverse content that can engage audiences more effectively.

23. January 20242. February 2024

Embracing AI: The Future of Small and Medium Businesses

Dear Business Leaders,

In the rapidly evolving digital landscape, Artificial Intelligence (AI) stands out as a transformative force, especially for small and medium-sized businesses (SMBs). As executives, you are uniquely positioned to harness the power of AI to drive innovation, enhance efficiency, and stay competitive.

12. January 20242. February 2024

Navigating the AI-Powered Marketing Landscape: Protecting Your Privacy in a Data-Driven World

The rise of artificial intelligence (AI) has revolutionized the marketing landscape, offering unprecedented opportunities to personalize experiences, optimize campaigns, and drive ROI. However, this data-driven approach has also raised concerns about privacy, as companies collect and analyze vast amounts of personal information to inform their marketing strategies.

9. January 202413. January 2024

Why Language Models Don’t Really “Get” Anything: A Light-Hearted Exploration

Introduction: Talking to a Brain in a Jar

Imagine you’re chatting with a brain in a jar. Sounds like a sci-fi movie, right? But in a way, that’s what we’re doing when we interact with large language models (LLMs) like ChatGPT. These impressive pieces of software can write poems, answer trivia, and even help with coding, but here’s the kicker: they don’t actually understand anything they’re talking about. Let’s dive into why.

7. January 20248. January 2024

Critical Thinking: Navigating the Challenges and Unlocking the Potential of Generative AI

A portrait of a person deeply engaged in critical thinking. The individual is seated at a desk, surrounded by books, a laptop, and notes

In the realm of technological advancement, Generative AI stands as a beacon of innovation, poised to revolutionize industries and transform our daily lives. Yet, like any powerful tool, it comes with inherent risks that demand careful consideration and a well-informed approach.

6. January 20248. January 2024

Unlocking Content Marketing’s Future with Generative AI

An abstract representation of generative AI in content marketing, showing a humanoid robot sitting at a desk, immersed in creating a digital marketing

Generative AI (AI) has emerged as a game-changer for content marketing, revolutionizing the way we create, distribute, and measure the impact of our content. By leveraging AI’s ability to generate text, translate languages, and produce creative formats, marketers can now craft engaging content that resonates with their target audience more effectively.