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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. 
Trend Analysis: Enterprise AI Orchestration
AI and ML
Trend Analysis: Enterprise AI Orchestration

The long-standing corporate race to anoint a single, all-powerful artificial intelligence model has quietly concluded, not with a winner, but with the realization that the premise was flawed from the start. A far more sophisticated and effective strategy is now taking root across industries: AI orchestration. This approach marks the next frontier for enterprises aiming to unlock the profound value

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What Do Hiring Managers Actually Look For?
Recruitment-and-On-boarding
What Do Hiring Managers Actually Look For?

The modern job application process has created a significant and often overlooked gap between the advice offered by a booming “resume help” industry and the practical criteria hiring managers use to evaluate candidates. While countless templates, AI builders, and optimization tools promise a pathway to the perfect application, they frequently focus on superficial elements that fail to address the core

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Are Your JavaScript Projects Truly Secure?
DevOps
Are Your JavaScript Projects Truly Secure?

The foundational security practices developers have relied upon for years to protect their JavaScript projects are being systematically dismantled by a new class of vulnerabilities, leaving countless applications exposed to previously mitigated supply chain attacks. A recent disclosure from security researcher Oren Yomtov of Koi Security details six zero-day vulnerabilities, collectively named “PackageGate,” that critically undermine the defensive measures adopted

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Are You Making the Right Moves From DevOps to CTO?
DevOps
Are You Making the Right Moves From DevOps to CTO?

Drawing from a remarkable journey that began with a CTO promotion in his late twenties—a rarity in the 1990s—Dominic Jainy has become a leading voice in technology leadership. His path, detailed in his book Digital Trailblazer, wasn’t paved with just coding prowess but with a deep, early understanding of DevOps principles that allowed him to automate, standardize, and ultimately elevate

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Defensive AI Powers a Proactive Cyber Defense
Cyber Security
Defensive AI Powers a Proactive Cyber Defense

Introduction The digital ramparts that once protected organizations are crumbling under the weight of adversaries who innovate at a pace that traditional, rule-based security can no longer match. In this high-stakes environment, waiting for an attack to happen before reacting is a recipe for disaster. A fundamental shift in defensive strategy is not just advantageous; it has become essential for

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Agentic AI Systems Require a Foundational Trust Layer
AI and ML
Agentic AI Systems Require a Foundational Trust Layer

The rapid enterprise adoption of autonomous, multi-agent AI systems is creating vast, interconnected networks that harbor a critical and often overlooked vulnerability. The very autonomy that makes these intelligent agents valuable also introduces a significant liability, as these systems are being built without the fundamental infrastructure for agents to discover, authenticate, and verify one another. This architectural oversight renders them

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Open Source AI Ecosystem – Review
AI and ML
Open Source AI Ecosystem – Review

The collaborative spirit that once built operating systems and web servers is now constructing the very fabric of artificial intelligence, creating a vibrant, multi-layered, and interconnected engine of innovation accessible to developers worldwide. This review will explore the evolution of this ecosystem, its key components, performance metrics, and the impact it has had on various applications. The purpose of this

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Trend Analysis: Database Consolidation for AI
AI and ML
Trend Analysis: Database Consolidation for AI

After a decade spent receding into the background of software architecture, the humble database has surged back to the forefront, not as a passive utility, but as the central pillar upon which the entire promise of reliable Artificial Intelligence now rests. The reason for this dramatic comeback is AI itself. This analysis explores the critical trend of database consolidation, arguing

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AI Industry Booms With New Hardware and Fierce Competition
AI and ML
AI Industry Booms With New Hardware and Fierce Competition

In a landscape where artificial intelligence and extended reality are not just converging but colliding, the pace of innovation is staggering. To make sense of the latest seismic shifts—from AI startups raising nearly half a billion dollars in seed funding to legal battles shaping the future of AR and tech giants moving into hardware—we’re speaking with Dominic Jainy. An IT

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Agent-Based AI CRM – Review
Customer Data Management
Agent-Based AI CRM – Review

The long-heralded transformation of Customer Relationship Management through artificial intelligence is finally materializing, not as a complex framework for enterprise giants but as a practical, agent-based model designed to empower the underserved mid-market. Agent-Based AI represents a significant advancement in the Customer Relationship Management sector. This review will explore the evolution of the technology, its key features, performance metrics, and

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AI Is Evolving From Automation to Augmentation
AI and ML
AI Is Evolving From Automation to Augmentation

The long-held narrative of artificial intelligence as a simple replacement for human labor is rapidly becoming obsolete, giving way to a more sophisticated and powerful vision of AI as an indispensable cognitive collaborator. This paradigm shift marks a significant evolution, moving beyond the sheer pursuit of computational power to develop systems that actively augment human intellect, creativity, and decision-making. The

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Does the Texas AI Act Go Far Enough for Mental Health?
AI and ML
Does the Texas AI Act Go Far Enough for Mental Health?

Millions of people are now confiding their deepest anxieties and fears not to a human therapist but to lines of code, sparking a global mental health experiment with entirely unknown consequences. This unprecedented shift toward artificial intelligence for emotional support has created a burgeoning market and a regulatory vacuum, prompting lawmakers to act. As state and federal bodies grapple with

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