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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. 
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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Prompt Injection Can Turn Your AI Against You
AI and ML
Prompt Injection Can Turn Your AI Against You

We’re joined today by Dominic Jainy, a distinguished IT professional whose work at the intersection of artificial intelligence and cybersecurity provides a critical perspective on the evolving threat landscape. As businesses eagerly adopt autonomous AI agents to drive efficiency, a new and insidious vulnerability known as prompt injection has emerged. In our conversation, we’ll explore the fundamental security paradigm shift

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Creatives Use AI for Ideas, Not Final Decisions
AI and ML
Creatives Use AI for Ideas, Not Final Decisions

In a landscape brimming with technological advancements, an interesting paradox has emerged within creative industries: while over 80% of creative strategists now leverage artificial intelligence for initial research and ideation, its adoption for critical evaluation and final deliverables plummets dramatically. This significant disparity is not a random occurrence but a clear indicator of a deeper understanding among professionals about the

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Review of Adobe Real-Time CDP
Customer Data Management
Review of Adobe Real-Time CDP

Navigating the immense and often chaotic sea of customer data has become the defining challenge for modern enterprises, where the promise of one-to-one personalization frequently collides with the harsh reality of siloed information and disjointed technologies. In this landscape, Adobe has positioned its Real-Time Customer Data Platform (CDP) not merely as another tool but as a foundational solution engineered to

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Can AI Hear What Your CRM Can’t?
Customer Data Management
Can AI Hear What Your CRM Can’t?

Enterprises have built their entire revenue operations around the central pillar of the Customer Relationship Management (CRM) system, trusting it as the definitive source of truth for pipeline health and financial forecasting. Yet, this reliance has created a fundamental and often invisible vulnerability, as these powerful systems of record are effectively deaf to the most critical business intelligence of all:

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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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