{"version":1,"type":"rich","provider_name":"Libsyn","provider_url":"https:\/\/www.libsyn.com","height":90,"width":600,"title":"Building an AI-Centric Business","description":"In this episode, host Mark talks with James Thornton, CEO of Daz 3D \/ Tafi, about what it really means to build an AI-centric business. James shares how his company evolved from a 3D content and avatar business into a key AI data provider for some of the world\u2019s largest tech and gaming brands. They discuss: The shift from scraping web data to bespoke, rights-clean AI training data Using AI across product, marketing, and customer service workflows Real-world applications in VR, robotics, gaming, and product visualization How AI is transforming email marketing and localization What the next 3 years of AI adoption will look like inside typical organizations Key Topics & Timestamps [0:00:00] \u2013 Introduction & Guest Background Mark opens the show and frames the topic: AI-centric businesses with a marketing slant. James introduces himself and his company Daz 3D \/ Tafi. His background: CEO at Daz for over a decade Previous role growing a creative product brand from near zero to a $1B retail brand in 3.5\u20134 years How Daz has continually pivoted into AI trends [0:01:18] \u2013 What It Means to Be an AI-Centric Business James defines AI-centric as \u201cAI-first\u201d thinking across the business, especially in marketing. Emphasis on balancing AI with people, expertise, and intuition, rather than AI replacing human judgment. [0:01:37] \u2013 Daz \/ Tafi\u2019s Evolution into AI Company roots: 25-year-old business with a strong direct-to-consumer freemium model Deep community of 3D digital content creators (avatars, products for gaming, etc.) Past pivots: work in Web3 and NFTs, then parlaying that into today\u2019s AI data and services. They now both: Support other companies\u2019 AI initiatives Use AI internally to streamline content creation and business workflows [0:03:37] \u2013 How They Help Other Companies with AI Core specialty: 3D digital content, avatar systems, and digital assets. Use AI and procedural tools to: Scale their content library Produce rights-clean, structured, annotated AI training data Customers include top tech, gaming, and enterprise brands training foundation models for: Text-to-character Product creation & visualization (including physical product development) Robotics and other AI applications [0:04:51] \u2013 Concrete Benefits of AI for Clients and Daz Central thesis: Good AI requires high-quality training data. For clients: Bespoke, properly licensed data for training a wide range of models For Daz\u2019s own business: AI embedded in product workflows and content production AI in product search, customer service, QA, and other functions to drive efficiency and effectiveness [0:06:07] \u2013 AI Agents and Localization Use of AI agents in customer service to handle technical tickets and customer questions. Heavy focus on localization: AI to adapt website and e-commerce for global markets Integrating translation tools directly into their software so customers can use products in their native language James calls this a \u201chuge lift\u201d for the business. [0:07:45] \u2013 Tools: Open \u201cClaw\u201d and Enterprise AI Options They use Open \u201cClaw\u201d (contextually, likely a reference to a general-purpose LLM) through virtual machines across business units, including marketing. Acknowledge recent changes in that ecosystem and the need to adapt. Considering more enterprise-focused alternatives, such as the \u201cNemo Claw\u201d and other corporate-friendly solutions, with an eye on governance and parameters. [0:08:54] \u2013 Their Process for Helping Enterprise Clients First step: deeply understand voice of the customer and specific AI data needs. Industry shift: Moving away from scraping the internet or generic licensing for training data Toward custom, bespoke training sets Unique position of Daz \/ Tafi: Own the full rights to their 3D content library (avatars, scenes, props) Avoid ethical and legal issues around unauthorized training data Process: Scope the client\u2019s needs. Use AI and internal workflows to generate customized datasets. Example: For a major tech company building VR headset experiences, they created tens of thousands of unique characters, avatars, clothing, and assets to train their models. James notes they might be the only company able to deliver this level of tailored solution at that scale. [0:11:34] \u2013 The Next 3 Years: How AI Changes Organizations Based on discussions with CEOs and senior leaders: Debate continues on whether AI creates or eliminates jobs; James personally believes it will create jobs. Near-unanimous view: every company must integrate AI into workflows. Employees and companies with a clear AI strategy will win versus those without one. Expectation: Continued job creation plus a strong push for AI-centric efforts in every part of the business Focus on efficiency, output, and more bespoke customer solutions [0:13:25] \u2013 Advice to Marketers & Final Takeaways James emphasizes \u201cjust get started\u201d and experiment with AI. For marketers: AI enables hyper-specific adaptation to customer needs. Allows new ways of marketing that aren\u2019t feasible manually today. Example from their own marketing stack: Their largest marketing channel is email They manage a seven-figure, vetted email list mailed daily AI is used to: Optimize send times Customize products and offers by demographic and other signals Overall message: Embrace AI to become more effective and deliver better, more tailored customer experiences. [0:14:58] \u2013 How to Contact James Website: Daz3D \u2013 daz3d.com Direct email: james@maketafi.com James invites listeners to contact him directly with questions. ","author_name":"AI Marketing","author_url":"http:\/\/www.fanaticsmedia.com","html":"