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Kaila Davis

Kaila Davis holds expertise in Artificial Intelligence, Machine Learning, and Customer Data Managment. Kaila's work is influential, having been cited by thought leaders and captains of industry at various conferences. Her work has also been instrumental in helping companies develop strategies and architecture to capture and effectively use customer data. 
The 20 Essential Features of a High-Performing CRM
Customer Data Management
The 20 Essential Features of a High-Performing CRM

The most successful modern businesses understand that their growth is not merely a product of chance but the direct result of a deep, data-informed comprehension of the people they serve. In this landscape, the ability to centralize, analyze, and act upon customer information is no longer a competitive advantage; it is the fundamental prerequisite for survival and expansion. This guide

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Can AI Revolutionize Your Restaurant Operations?
AI and ML
Can AI Revolutionize Your Restaurant Operations?

The persistent challenge of balancing impeccable guest service with razor-thin profit margins has long defined the restaurant industry, pushing operators to seek innovative solutions beyond traditional hospitality models. Today, the integration of Artificial Intelligence is no longer a futuristic concept but a present-day reality, fundamentally reshaping how establishments operate. These sophisticated systems are moving far beyond simple automation to offer

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Trend Analysis: Zero Trust Security Model
Cyber Security
Trend Analysis: Zero Trust Security Model

The long-held belief that a strong network perimeter could act as an impenetrable fortress has crumbled under the weight of cloud migration and a globally distributed workforce, forcing a radical rethinking of digital defense. As the traditional “castle-and-moat” security model becomes obsolete in an era defined by boundaryless operations, a new paradigm has emerged as essential for survival. This analysis

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What Is the Missing Mindset for Using AI?
AI and ML
What Is the Missing Mindset for Using AI?

The arrival of a groundbreaking technology often follows a familiar pattern of initial awe, but the recent surge in advanced AI agents has revealed a curious and widening gap between fervent early adopters and a largely unimpressed majority. While one corner of the digital world heralds the next revolution, the other seems to be collectively asking if this revolution will

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Review of Fullpath Agentic CRM
Customer Data Management
Review of Fullpath Agentic CRM

The modern automotive salesperson often spends more time navigating disparate software systems and manually entering data than engaging with the very customers they are meant to serve. This “administrative drag” has become a significant bottleneck in an industry already facing immense pressure to evolve. Fullpath’s new Agentic CRM enters this high-stakes arena with a bold promise: to untether sales teams

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Trend Analysis: AI Infrastructure Hijacking
AI and ML
Trend Analysis: AI Infrastructure Hijacking

The clandestine world of cybercrime is undergoing a significant evolution, shifting its focus from the familiar territory of hijacking IT infrastructure for cryptomining to a far more strategic and lucrative prize: corporate artificial intelligence resources. This emerging trend represents more than just a new vector of attack; it signifies the birth of an active, monetized criminal enterprise that targets the

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Prompt Engineering Is the New Language of AI
AI and ML
Prompt Engineering Is the New Language of AI

Beyond the simple act of asking a question, a new discipline has emerged that treats communication with artificial intelligence as a form of artful orchestration, requiring precision, creativity, and a deep understanding of the underlying technology. This discipline, known as prompt engineering, involves the careful design and refinement of inputs to guide generative AI models toward producing more accurate, relevant,

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True AI Readiness Depends on Hidden Foundations
AI and ML
True AI Readiness Depends on Hidden Foundations

A striking paradox defines the corporate world’s relationship with artificial intelligence, as an almost unanimous executive mandate to adopt AI technology collides with a stark and widespread lack of genuine organizational preparedness. This disconnect is not merely anecdotal; it represents a critical vulnerability for businesses racing toward an AI-driven future. The promise of generative AI has ignited a sense of

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Trend Analysis: AI-Generated Code Monitoring
AI and ML
Trend Analysis: AI-Generated Code Monitoring

The code that will power critical infrastructure for the next decade is being written today, not by seasoned engineers in weeks, but by artificial intelligence assistants in a matter of seconds. This new operational reality creates a fundamental mismatch, pitting code that will run for years against monitoring tools built for the methodical pace of human-driven development. The significance of

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Diagrimo AI Turns Text Into Visuals in Seconds
AI and ML
Diagrimo AI Turns Text Into Visuals in Seconds

Today, we’re joined by Dominic Jainy, an IT professional whose expertise lies at the intersection of artificial intelligence, machine learning, and blockchain. With a keen eye for how emerging technologies reshape industries, Dominic is here to break down an innovative AI-powered tool designed to transform the way we create and share ideas visually. In our conversation, we’ll explore how AI

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Enterprise AI Evolves From Chatbots to Agentic Workflows
AI and ML
Enterprise AI Evolves From Chatbots to Agentic Workflows

As a seasoned IT professional with deep expertise in artificial intelligence and machine learning, Dominic Jainy has a unique vantage point on the evolution of enterprise technology. He has witnessed firsthand the shift from the initial hype of generative AI to its practical, and often challenging, implementation within large organizations. Today, he joins us to dissect the most significant trends

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What If Building AI Is No Longer the Hard Part?
AI and ML
What If Building AI Is No Longer the Hard Part?

The fundamental calculus of innovation in artificial intelligence has been completely rewritten, shifting the primary barrier from technological execution to strategic foresight. For years, the creation of meaningful AI-powered products was the exclusive domain of large corporations with access to massive computational infrastructure, substantial capital investment, and sprawling teams of highly specialized engineers. That era has decisively ended. The democratization

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