As an AI writing assistant, Grammarly has used AI technology from its inception. The popularity of large language models has led to a shift in which the writing assistant vendor moved from natural language processing to including large language models to help enterprise employees improve their writing as they work. This has led Grammarly to see a possibility in the part it can play in transforming the future of work.

Featuring: Luke Behnke, head of Enterprise Product at Grammarly, an AI-powered assistant writing platform.

In today’s episode, we cover:

• Grammarly’s AI evolution
• Agentic AI and the future of work
• AI technology as an assistant and not a replacement for work

and more.

To learn more about AI and Grammarly, check out SearchEnterprise AI.

To watch video clips from our podcast, subscribe to our YouTube channel, @EyeonTech.

References:

• Grammarly AI and an update to the writing tool
• What will be the future of the workplace?
• Top 4 AI writing tools for improved business efficiency

A key truth about AI is that regulation has long lagged innovation. However, this has not removed the responsibility of enterprises to deploy AI systems responsibly or for AI vendors to create responsible systems. What are the key metrics to understanding a safe AI system?

Featuring: Stuart Battersby, CTO at Chatterbox Labs, vendor of a quantitative AI risk metrics platform, and Danny Coleman, CEO at Chatterbox.

In today’s episode, we cover:

• The difference between AI safety and responsible AI
• The need for standards in AI safety
• The future of AI safety in Enterprises

and more.

To learn more about responsible AI, check out SearchEnterprise AI.

To watch video clips from our podcast, subscribe to our YouTube channel, @EyeonTech.

References:

• Assessing if DeepSeek is safe to use in the enterprise
• EU, U.S. at odds on AI safety regulations
• Responsible AI vs. ethical AI: What's the difference?

Industrial AI is less familiar than consumer AI, but represents a critical and growing sector within AI’s influence. What unique AI applications are surfacing in this area?

Featuring: Olympia Brikis, director of Industrial AI research at Siemens

In today’s episode, we’ll cover…

• Understanding Industrial AI and its distinctions from consumer AI
• AI and, specifically, generative AI adoption at Siemens
• The role of digital twins in testing AI recommendations

and more.

To learn more about AI in healthcare, check out Search Enterprise AI.

To watch video clips from our podcast, subscribe to our YouTube channel, @EyeonTech.

References:

• CES 2024: Siemens eyes up immersive tech, AI to enable industrial metaverse
• How businesses are using AI in the construction industry
• Siemens forges digital twin deal with Nvidia for metaverse