Inbenta Al Resources and Insights
OpenAI Retires Its Most Beloved AI Model, GPT-4o
November 24, 2025
Google Gemini Can Now Spot AI Generated Images
November 21, 2025
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Stay up-to-date resources on what’s happening at Inbenta AI. Learn how we are helping to create more intelligent enterprises through Composite Al.
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Enterprise AI agents are moving from concept to production across industries, but scaling them remains one of the most persistent challenges business leaders face.
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The promise of AI is already here. Leaders need to wake up and catch up or get left behind.
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Hackers used “vibe-hacking” to turn Anthropic’s Claude into a cybercriminal. It highlights the importance of designing AI agents with strict guardrails, human oversight, and auditable safeguards to protect both businesses and their customers.
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Salesforce and ServiceNow’s $1.5B investment in Genesys promises a seamless one-stack CX solution, but beneath the headlines lie major risks. Vendor lock-in, overreliance on unproven AI, and one-size-fits-all capabilities could leave enterprises exposed if outcomes fall short. Cautionary examples like Klarna’s failed AI bet underscore the danger of overpromising technology. Independent platforms like Inbenta’s Programmed Intelligence offer a safer alternative: control, flexibility, and tailored CX without sacrificing trust or differentiation.
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For Sarah Johnson, Inbenta’s Global Head of Client Success, customer success is about empathy at scale. She champions disciplined listening, cross-functional fluency, and trust as the real differentiators for growth.
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According to a recent MIT report, 95% of GenAI pilots yield zero return. The 5% that succeed have figured something out about digital transformation in the age of AI. It’s a matter of focus, and knowing where to look.
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Inbenta CEO Melissa Solis has turned struggle into strength, showing women in AI how to lead boldly, even when there’s no seat at the table.
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Melissa Solis, CEO of Inbenta, built a tech company with her brother Merlin from $300 to a $610 million exit. In a conversation with Adam Highfill, Head of Marketing at Inbenta, Melissa shares her journey from childhood hardship to business success and how her experiences shaped her approach to leadership and entrepreneurship.
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Despite AI being a top-three priority for 75% of executives, only 26% of companies have successfully scaled it to realize real value. In this expert-led discussion, Inbenta strategic advisor Bobby Mehta and CEO Melissa Solis explore why AI efforts often stall — from poor planning to lack of guardrails. They emphasize the need for a clear, strategic framework focused on data, governance, and execution to fully leverage the power of Generative and Agentic AI at scale.
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As companies begin fully embracing AI, many are struggling with the state of their data, the challenge of integrating powerful new tools within their existing systems, and understanding how to measure their success. Inbenta CEO Melissa Solis recently explored these topics in a conversation with Inbenta strategic advisor and ex-TransUnion CEO, Bobby Mehta. The discussion covered common pitfalls and practical advice for businesses looking to implement AI effectively.
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While several new protocols are emerging for integrating AI agents with external data and services, the Model Context Protocol (MCP) is quickly gaining traction. This article compares MCP to traditional APIs, exploring their differences, benefits, and real-world applications for businesses looking to scale AI capabilities with less complexity.
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