The future of work is humans and AI collaborating. Despite developments in which technology companies blame AI for the decision to lay off large numbers of workers, Nikhil Krishnan of C3 AI says there is still a need for a human in the loop. On the latest Targeting AI podcast from AI Business, Krishnan said the future of work will involve a pyramid-type system. At the bottom, the AI will automate certain processes, but at the middle and top levels, there should be collaboration between the human and AI.

Featuring: Nikhil Krishnan, CTO at C3 AI

In this episode, we discuss:

• The pyramid structure of the future of work
• The need for the human in the loop
• The industry that is currently not seeing AI replacing humans
• C3 AI’s differentiation from hyperscalers and competitors
• The AI boom versus bubble debate
• The importance of operational efficiency in any economic environment

To learn more about C3 AI and the future of work, check out AI Business from Informa TechTarget, and please subscribe to our newsletter to keep up to date on the most important AI news.

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

References:

C3 AI Launches C3 Code for Businesses Seeking Domain Expertise

Phenom’s Acquisition: AI, Automation and the Future of Work

Fourth Industrial Revolution: How AI Agents Are Transforming the Future of Work

For many organizations, the advent of AI has necessitated a transition from a human-centric to an intelligence- or even agentic-based approach. Real-time event, threat and risk vendor Dataminr began its transition to intelligent automation in 2018, marking the start of its AI journey. Since then, the vendor has transitioned to a more agentic and generative AI approach. In this interview, Joel Tetreault of Dataminr discusses the evolution of real time intelligence platforms, the integration of generative AI and agentic AI, and the importance of data strategy in AI development.

Featuring: Joel Tetreault, chief AI officer, Dataminr

In this episode, we discuss the:

• Evolution of Dataminr’s platform pre- and post-generative AI
• Integration of GPT and modern models in real-time data processing
• Role of data strategy and domain-specific models in AI effectiveness
• Use of multimodal AI for security and threat detection
• Impact of agentic AI and future trends in cybersecurity

To learn more about AI search, check out AI Business from Informa TechTarget, and please subscribe to our newsletter to keep up to date on the most important AI news.

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

References:

Top 10 Cybersecurity predictions for 2026

How to enhance OSINT investigations using AI

Company Using AI to Strengthen Cybersecurity Raises $50M

Most people looking for a job usually spend hours scouring job search engines and LinkedIn. However, the professional network has changed the way its search engine works, shifting from a keyword-based, taxonomy-driven system to an AI-powered semantic search that understands natural language. In this podcast episode, Caleb Johnson of LinkedIn dives into how LinkedIn uses AI and large language models (LLMs) to revolutionize job search, improve search relevance, and ensure data privacy.

Featuring: Caleb Johnson, principal staff software engineer

In this episode, we cover:

• AI-powered job search and semantic understanding
• Use of LLMs and transformer architecture
• Bias mitigation and fairness in AI systems
• Data privacy and compliance in AI applications
• Future directions: voice, visual search, and interactive AI

To learn more about AI search, check out AI Business from Informa TechTarget, and please subscribe to our newsletter to keep up to date on the most important AI news.

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

References:

• Indeed Unveils AI Agents for Job Seekers and Recruiters
• Google's AI-Powered Chrome Further Transforms Search
• LinkedIn Unveils AI Updates for Business Users, Job Seekers