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Trends, terminology, questions, and more — explore insights that shape tomorrow's AI.

How to Use Multimodal AI to Drive Smarter Business Decisions: 10 Best Practices
Discover 10 best practices for using Multimodal AI to integrate text, images, and audio for smarter, data-driven decisions.

AI Red Teaming in Enterprises: Strengthen Your Model Security
AI Red Teaming uncovers AI-specific threats, preventing attacks and compliance risks. Strengthen your enterprise AI security today.

How to Ensure Your Large Language Model (LLM) is Accurate and Safe
Ensure your LLMs are accurate, safe, and compliant. Learn strategies to mitigate risks, enhance transparency, and align with regulations.

How Much Do Today’s LLMs Really Know?
AI models grasp only a fraction of human knowledge. Learn why better data drives AI progress and how Innodata is closing the gap.

Innodata Featured in Forrester’s Report on Synthetic Data
Forrester has recognized Innodata in a report on synthetic data and its use for initiatives like AI model training.

Why Linguistics is Crucial for AI Model Success
Discover how linguistics guides AI model training by enhancing language understanding, reducing bias, and ensuring cultural relevance.

How to Manage Risks Associated with Using AI
Learn how to manage the risks associated with using AI and ensure safe, ethical, and compliant systems for your business.

5 Trends in Gen AI for 2024
Discover the top 5 trends shaping the future of generative AI, from data-driven advancements to ethical AI practices.

Is AI a Bubble That’s About to Burst? Exploring the Feared AI Crash
Explore whether AI is a bubble ready to burst or a transformative force here to stay. Discover the realities and future of AI development.