The Future of Artificial Intelligence in Business

Discover the future of artificial intelligence in business. Technijian provides insights and strategies to leverage AI for improved efficiency and profitability.

E-A-T in SEO

E-A-T in the Age of AI Search: Why It’s Critical for SEO Success

Ravi Jain
"E-A-T in the Age of LLM Search Engines" explains the increasing importance of Google's E-A-T (Expertise, Authoritativeness, and Trustworthiness) principles in the context of search engines powered by large language models (LLMs). LLMs prioritize understanding user intent and content credibility over simple keyword matching, making E-A-T crucial for ranking. The article details how businesses can demonstrate expertise through author credentials and reliable sourcing, build authoritativeness by earning quality backlinks and engaging in thought leadership, and establish trustworthiness via website security and fact-checking. Furthermore, it outlines SEO strategies for this new landscape, emphasizing user intent, high-quality content, internal linking, and schema markup. Ultimately, the text argues that prioritizing E-A-T will be fundamental for SEO success in the evolving era of AI-driven search. ... Read More
What Are AI Agents

What Are AI Agents? Here’s How They Work, Why They’re Exciting, and the Risks They Present

Ravi Jain
The text provides a comprehensive overview of AI agents, self-sufficient systems capable of performing tasks and making decisions autonomously. It details how AI agents function, including goal recognition, task breakdown, data collection, execution, and feedback loops. The text also explores their various applications across numerous industries, associated benefits such as increased efficiency and cost savings, and potential risks and challenges, emphasizing data privacy, security, and ethical considerations. Finally, it offers guidance on the responsible use of AI agents and highlights future advancements in the field. ... Read More
Nvidia and the AI Boom:

Nvidia and the AI Boom: Facing a Scaling Problem

Ravi Jain
The text primarily discusses the scaling law in artificial intelligence, its current limitations, and the industry's shift towards reasoning-based models. Nvidia's crucial role in AI development through its GPUs is highlighted, along with the company's adaptation to the changing landscape. The challenges of diminishing returns from simply increasing model size and the rising computational costs are explored. Finally, the article mentions big tech companies' recalibration of their AI strategies and the future focus on sustainable, reasoning-focused AI. A significant portion is promotional material for a company offering managed IT services. ... Read More