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Landing a digital marketing job placed in a top IT hub like Infopark Koratty is the dream of many freshers in Kerala, and our student Ihsan Mohammed P M has turned that dream into reality. His journey from learner to professional digital marketer shows how the right training, mentorship, and dedication can transform a beginner into an industry‑ready expert.

Project Gumdrop stands at the forefront of AI innovation, marking OpenAI's bold entry into consumer hardware. This screenless AI gadget, born from the visionary partnership between CEO Sam Altman and legendary designer Jony Ive, promises to blend ChatGPT's intelligence with invisible tech. As whispers of its 2026 launch grow louder, Project Gumdrop could herald the dawn of ambient computing, making smartphones feel outdated.

Artificial intelligence is advancing faster than ever, increasing job risks from AI in 2026 across industries worldwide—including India and Kerala. Businesses are rapidly adopting AI to automate tasks, reduce costs, and improve efficiency. As a result, many professionals are concerned about job security in the coming years. Rather than creating panic, understanding job risks from AI in 2026 helps individuals prepare smartly. This blog explores where the risks are highest, which jobs are most affected, and three practical strategies to future-proof your career in the AI era.

Google Stitch is rapidly emerging as a powerful AI-driven tool for UI/UX designers, developers, and digital marketers who want to create professional website and mobile app interfaces faster and more efficiently. Introduced by Google Labs, Stitch uses advanced AI models from the Gemini family to generate responsive UI designs and front-end code from simple text prompts or visual inputs, significantly reducing the time spent on manual design and coding.

Google Disco is making waves in the tech world as a revolutionary AI browser experiment from Google Labs. Designed to transform the way we search and interact with the web, Google Disco leverages the latest Gemini 3 AI model to offer a smarter, more intuitive browsing experience. With its standout GenTab feature, Google Disco is not just another browser—it’s a game-changer for anyone tired of juggling multiple tabs and drowning in information overload.​

ChatGPT Image 1.5 is the latest image model from OpenAI, designed to make AI image generation faster, smarter, and more consistent for creators and businesses. ChatGPT Image 1.5 focuses on realistic visuals, better editing control, and consistent characters, making it ideal for professional content creation.​

AI in marketing is no longer just a trend—it has become a must-have skill for every digital marketer in 2026. As the digital landscape evolves rapidly, brands are moving from traditional strategies to intelligent, data-driven systems powered by AI. Today, AI in marketing is reshaping how businesses understand customers, create content, optimize ads, and deliver meaningful digital experiences. Whether you're a marketer in Kerala, Dubai, or anywhere else, learning AI is essential to stay competitive, relevant, and future-ready.

Artificial intelligence has evolved rapidly over the past few years, transforming how businesses operate, how customers interact with brands, and how individuals perform daily tasks. Among the most widely used AI technologies today are AI agents and AI chatbots. Although people often confuse the two, they serve very different purposes and offer unique capabilities. Understanding the difference between AI-Agent vs AI-Chatbot is more important than ever—especially in a world where automation is driving both business efficiency and user experience.

In today’s fast-evolving digital marketing landscape, brands need a framework that balances consistency, innovation, and growth. The 70-20-10 rule in digital marketing is a proven strategy that helps marketers allocate resources efficiently—whether it’s time, budget, or content—ensuring campaigns are stable, scalable, and innovative. By dividing resources into three distinct segments, this model allows marketers to focus on reliable tactics while leaving room for experimentation and breakthrough ideas. Leading brands like Google and Coca-Cola have used similar approaches to optimize marketing performance, proving the value of structured resource allocation in achieving measurable results