Innodata is hosting a highly curated event on August 14th in Seattle, bringing together top enterprise leaders from companies like Amazon, Microsoft, and Meta, alongside innovative growth‑stage startups. They’ll share how they’re deploying AI agents in production today—at true.

How can enterprises ensure trust, security, and compliance as AI agents evolve independently?. Agentic AI introduces new risks, and new opportunities. Our latest guide breaks down how AI TRiSM brings control to autonomous systems without slowing innovation. 🚀. Read the full.

What do you want to know?.

Why did your AI lie? Hallucinations in generative AI can erode trust, introduce legal risk, and damage your brand, often without warning. Our latest article breaks down why hallucinations happen, real-world examples, and what enterprises can do to prevent and manage them. 🔍.

Your AI strategy starts with the right agent. Should your enterprise deploy fully autonomous AI to drive complex decisions — or start with conversational AI for smarter interactions?. Our latest guide breaks it down with real examples, use cases, and a decision framework to help.

AI is evolving—from generating outputs to making decisions, learning, and adapting. In our latest article, we explore how to design Agentic AI architectures that plan, act, observe, and adjust—aligning seamlessly with enterprise workflows. Including a real-world case study and.

Visual AI agents are changing how industries operate by combining computer vision with real-time decision-making. From defect detection on factory lines to smart shelf monitoring in retail, they’re closing the gap between perception and action. We break it down in our latest

Agentic AI can boost efficiency — enabling smarter, faster decisions. 🚀. In our latest article, we share a practical framework for deploying AI agents that can reason, plan, and act — with measurable impact across operations, customer experience, and beyond. 👉 Learn more:.

Most companies don’t know if their data is ready for AI. And it’s costing them—on average—$12.9 million a year. In our latest article, we break down how to assess data quality before feeding it into AI/ML systems—covering the key KPIs, common roadblocks, and what good data looks.

AI Agents vs. Agentic AI: What's the Difference? 🔍. Not all autonomous AI is created equal. While AI agents can draft emails or schedule meetings, Agentic AI can plan, collaborate, and adapt to complex goals with minimal human input. If you're building enterprise AI systems,.

Innodata has been recognized as one of the 30 technology companies defining the future of artificial intelligence (AI) in a new industry note from Wedbush. The industry note, titled “The AI Revolution Theme; 30 Names to Play in the 4th Industrial Revolution,” identifies tech.

Multimodal AI can define how enterprises find insights and make smarter decisions—integrating text, images, audio, and video into a single, intelligent workflow. Discover 10 best practices to effectively deploy multimodal AI and unlock deeper, real-time insights across your.

🚨 Our webinar with @edmcouncil starts shortly!. Deploying GenAI Applications Safely and Responsibly. 📅 Today at 12:30 PM EST. 🔗 Join here: Don’t miss expert insights on how to build secure, trustworthy Generative AI.

Mark your calendars for our upcoming @edmcouncil webinar "Deploying Generative AI Safely & Responsibly" on March 26! 🧠 🗓️ . As enterprises adopt Generative AI, one question takes center stage: How do we deploy it safely, responsibly, and at scale? 💡 Join us for an expert-led

Live from @NVIDIAAI GTC 2025!. We’re at the Generative AI Pavilion, showcasing how Innodata powers trustworthy, next-gen AI with cutting-edge solutions. Stop by to see our Generative AI Test + Evaluation Platform in action—helping AI teams to fine-tune models, reduce

Innodata is proud to announce the beta launch of our Generative AI Test and Evaluation Platform, built with @nvidia technology. 🚀 . 🧠 Designed to enhance the safety, reliability, and performance of enterprise AI models, the platform integrates high-performance NVIDIA NIM™.

Traditional security measures aren’t enough to protect your enterprise’s AI from evolving threats. AI Red Teaming helps to uncover vulnerabilities before they can be exploited, ensuring secure and compliant AI systems. Is your AI prepared? Learn how AI Red Teaming can help.

Innodata has announced its participation at @NVIDIAAI GTC 2025, the premier global AI conference taking place March 17–21, 2025, in San Jose, California. 🚀. At the event, Innodata will debut its GenAI Test + Evaluation Platform, an enterprise-grade solution designed to help

LLMs are powerful—but without proper evaluation, they can become a major risk. From bias and misinformation to security vulnerabilities, unchecked AI can lead to reputational, legal, and operational consequences. That’s why LLM supervision isn’t optional—it’s essential. In our.

How much do today’s LLMs really know? 💡. During yesterday’s earnings call, Innodata's CEO Jack Abuhoff highlighted if the realm of all useful data were the size of a football, today’s best-performing LLMs have only been trained on a dataset the size of a dime. The analogy.