Targeting AI

Most enterprises are familiar with probabilistic AI systems such as generative AI and agentic AI. According to Maha Achour, CEO and founder of enterprise AI platform vendor Kodamai, another form of AI could help enterprises better trust these systems: math-based AI. In this episode of Targeting AI, Achour discusses how math-based AI can be trusted more than other forms of AI because it is harder to hack or be manipulated. She dives deep into the mathematical principles that Kodamai uses, including category theory and type theory.
In this episode, we discuss:
Mathematical principles such as category theory and type theory could help remove the black box behind current forms of AI.
The importance of using neuro-symbolic AI.
What grounding AI systems in mathematical certainty rather than probabilistic approximations means for challenges such as hallucinations, governance and security.
Why artificial general intelligence and artificial superintelligence require human collaboration.
The superiority of human intuition.
To learn more about generative and 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:
Startup Pioneering Neuro-Symbolic AI Secures Bridge Funding
Mathematical Superintelligence Startup Valued at $1.45BAn Explanation of the Different Types of AI

The explosion of AI in 2022 coincided with the introduction of image-generating models such as Dall-E, which were met with controversy. However, in recent years, AI companies have partnered with legacy image vendors such as Getty Images and Shutterstock. On this episode of Targeting AI, Daniel Mandell of Shutterstock explains how data licensing is changing in the age of generative AI. Mandell explains how Shutterstock has evolved from a stock content company into a data licensing partner for model training, inference and increasingly agentic workflows.
We discuss how Shutterstock approaches creator compensation, how it filters synthetic data, why inference is becoming as important as training, and why high-quality rights-cleared content still matters even as image generators improve.
Featuring: Daniel Mandell, senior vice president of data licensing and AI at Shutterstock
In this episode, we cover how:
Shutterstock’s AI business grew from image licensing into a broader multimodal data licensing model covering video, audio, 3D, fonts and templates.
The company now serves both model training and inference use cases, with inference becoming a major part of the business.
Demand has shifted from broad volume requests to highly specific, niche, and metadata-rich content for real-world applications.
Mandell says Shutterstock is not trying to be a model builder, but rather a content and data partner that helps customers solve practical AI problems.
The company sees its role as combining stock assets with AI-generated content to offer more optionality to customers.
Compensation for creators remains an open challenge, but Shutterstock says it is trying to ensure contributors stay part of the AI ecosystem and continue to monetize their work.
Synthetic data is useful for edge cases, but Mandell argues models still need real rights-cleared human-made data to perform well.
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:
And Now it Begins: Shutterstock Unveils Text-to-Image AI Platform
The need for tools such as Getty Generative AI by iStock
The Perplexity-Getty Images Licensing Deal is Different

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