Targeting AI

In this episode, Don Muir of AI-native private market investment platform vendor F2, discusses how AI is transforming private markets investing by automating data processing, standardizing unstructured data, and building a system of agentic workflows tailored for financial institutions. He explains the importance of AI native solutions for private credit and equity, and how F2's platform helps decision-making and operational efficiency.
Featuring: Dan Muir, co-founder and CEO of F2
In this episode, we cover:
AI's role in automating private market workflows
Standardization of unstructured financial data
Agentic AI systems tailored for finance
Impact of AI on private credit and equity markets
F2's platform and its customization for firms
Balancing probabilistic AI with deterministic financial data
Pricing models for AI-driven financial services
Future growth and market convergence in private markets
AI's role in risk management during market dislocation
To learn more about AI and finance, 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:
Native AI on Horizon for Finance, Accounting Teams
Robinhood Will Let Agents Trade -- It Could Be a Trend
Global study reveals biggest risks of AI in finance sector

With agentic AI and generative AI, enterprises are continually looking for ways to transform their workflows. In this episode of the Targeting AI podcast from AI Business, Esther Shittu and Shaun Sutner welcome Jason Olkowski of CRM and workforce automation vendor Creatio, to examine how enterprises can use agentic AI to improve decision-making within their workflows and unlock true value.
Featuring: Jason Olkowski, chief strategy officer at Creatio
In this episode, we cover:
Enterprise AI adoption gaps and organizational maturity
The concept of the unlimited enterprise and removing platform limits
Creatio's new AI agents for banking and their governance frameworks
Prioritizing AI initiatives for business impact
The role of AI in decision-making and worker augmentation
To learn more about using agentic AI in enterprise workflows, 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:
How Creatio is Redefining CRM for Financial Institutions
Turning Agentic AI From Idea to Essential Enterprise Process
Nvidia Launches Workflows for Organizations to Build Their Own AI
 

In this episode of the Targeting AI podcast from AI Business, Shaun Sutner and Esther Shittu host Ben Schreiner from AWS to discuss the evolving landscape of AI adoption among small and medium-sized businesses (SMBs). They delve into AI safety, AI adoption by SMBs, practical use cases, choosing the right partners, managing costs, and the future of AI tools tailored for SMBs -- emphasizing responsible deployment, the importance of trust in data, and how AI can augment human effort rather than replace it.
Featuring: Ben Schreiner, head of AI and modern data strategy business development at AWS
In this episode, we cover:
AI adoption challenges for SMBs
AI safety and guardrails
Partner selection and vendor lock-in
AI tools and real-world SMB applications
To learn more about AWS and AI for enterprises and SMBS, 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:
AWS Launches Frontier Agents
AWS Simplifies Agent Building With Model Customization
How AI Can Lead to Operational Transformation in Smaller US Companies

In this episode of the Targeting AI podcast from AI Business, Shaun Sutner and Esther Shittu interview Marshall Choy of Rebellions, a South Korea-based inference chipmaker. The conversation covers Rebellions' focus on AI inference, the company’s global expansion strategy, the importance of open source in its software stack, and its chiplet architecture. Choy discusses the competitive landscape dominated by giants like Nvidia, the K-Nvidia initiative, and the future of AI infrastructure, emphasizing the need for AI sovereignty and South Korea's role in the global AI market.
Featuring: Marshall Choy, chief business officer at Rebellions
In this episode, we cover:
Rebellions’ aims to challenge Nvidia's dominance in the AI industry.
The focus on inference allows for broader market opportunities.
Global expansion is a key priority for Rebellions.
Open source software is integral to the vendor’s strategy.
Chiplet architecture provides flexibility and cost efficiency.
The K-Nvidia initiative aims to strengthen South Korea's AI capabilities.
AI sovereignty is becoming increasingly important for enterprises.
The future of AI infrastructure is shifting toward reasoning capabilities.
Rebellions’ goal to be a durable corporation in the tech landscape.
 
To learn more about Rebellions and AI inference, 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:
South Korean AI Chipmaker Raises $400M for Inference
South Korean Chipmaker Partners with SKT, Arm for Sovereign AI
Neocloud Pioneer CoreWeave All in on Inference

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

With the rise of generative AI and agentic AI, there has also been a push for AI PCs within the enterprise. Companies like Lenovo and Microsoft are providing enterprises with devices that help create these devices. However, there is no AI PC without AI chips. In this podcast, Michael Nordquist of chipmaker AMD discusses the evolution of AI chips and AMD's role in the rapidly changing AI landscape. He highlights the features of AI PCs, the impact of AI on enterprise efficiency, and AMD's strategy against competitors such as Nvidia.
Featuring: Michael Nordquist, corporate VP of product marketing, AMD
In this episode, we cover:
AMD's position as a key player in AI technology.
How AI PCs integrate NPUs for enhanced performance.
The need for vendors to focus on security when developing AI PCs.
How adoption of AI PCs is influenced by perceived value.
The future will see a blend of personal and enterprise AI agents.
To learn more about AI PCs, 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:
AMD Competes With Intel With AI New Chips
AI PCs Are Going Mainstream, Says AMD's Jason Banta
Microsoft Aims for AI PCs While Apple Unveils M5 Chips
 

Agentic AI has grown rapidly in the past two years, and with that growth comes different tools that help agents work. Among those tools is the Model Context Protocol from Anthropic. In this episode of the Targeting AI podcast from AI Business, Jim Zemlin and Mazin Gilbert dive into the importance of agentic AI, the relevance of MCP, the nuances of openness in AI, and the responsibilities surrounding AI security and ethics. The conversation also touches on the future of personal agents and the evolving role of developers in the AI landscape, with the popularity of OpenClaw. This episode was recorded on-site in New York City last week at the MCP Developer Summit presented by the Agentic AI Foundation.
Featuring: Jim Zemlin, CEO of the Linux Foundation, Mazin Gilbert, executive director of the Agentic AI Foundation
In this episode, we cover how:
Agentic AI is crucial for driving information exchange and financial transactions.
Standardization is necessary as we move from experimentation to production in AI.
The Linux Foundation provides a neutral space for collaboration among tech companies.
Openness in AI includes varying degrees of access to data and models.
Ethical AI usage is a priority for the AI industry to prevent bias.
Developers' roles are shifting from coding to system architecture and security.
The future of AI will involve both open and closed data.
To learn more about Agentic AI, 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:
MCP is Alive, But Faces Challenges
How to Prepare Supply Chains for Agentic AI
The Growing Need for Cybersecurity in Agentic AI
 
 

The future of work is continuing to change with AI, and many agree that AI co-workers are becoming part of everyday work. However, many enterprises still find it challenging to understand the various use cases for AI, the role AI can play in enhancing productivity, and the need to approach AI implementation thoughtfully, focusing on real problems rather than succumbing to FOMO. In this conversation on the Targeting AI podcast from AI Business, HP's Faisal Masud shares insights on the future of work and HP's commitment to integrating AI into its offerings.
Featuring: Faisal Masud, President, digital & lifecycle services, HP
In this episode, we cover how:
Consumers are more advanced in using AI than enterprises.
AI at the edge enhances privacy and security.
Enterprises need to understand specific use cases for AI.
How HP approaches its differentiation strategy.
ROI in AI projects should consider productivity and cost reduction.
AI should augment human capabilities, not replace them.
The future of work will involve AI as a co-worker.         
To learn more about AI adoption, 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:
HP's New Keyboard Gives New Meaning to All-in-One
AI Innovation vs Adoption: Why They Are Misaligned
Generative AI Adoption Grows Fivefold, Capgemini Reports