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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. 
Why Go Beyond Black Box AI in the Enterprise?
AI and ML
Why Go Beyond Black Box AI in the Enterprise?

The rapid proliferation of artificial intelligence has presented enterprises with a powerful yet perilous tool, one that promises unprecedented efficiency but often delivers answers unmoored from the realities of a specific business context. As organizations move from experimentation to integration, the limitations of generic, consumer-grade AI models become starkly apparent. This initial reliance on “black box” systems, trained on the

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AI Will Augment Your Team, Not Replace It
AI and ML
AI Will Augment Your Team, Not Replace It

While executive boardrooms buzz with the transformative promise of artificial intelligence, a silent and corrosive anxiety is spreading through the cubicles and home offices of the employees expected to deploy it. This growing chasm between leadership’s enthusiasm and the workforce’s deep-seated fear of obsolescence represents the single greatest threat to successful AI integration. The primary challenge is not technological implementation

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Emotional Intelligence Is AI’s Next Frontier
AI and ML
Emotional Intelligence Is AI’s Next Frontier

Beyond Logic: The Dawn of Emotionally Aware AI The long-held standard for judging an artificial intelligence by its raw computational speed and logical accuracy is rapidly becoming obsolete, giving way to a more nuanced and profoundly human metric. For decades, the power of AI was measured by its ability to process vast datasets, identify complex patterns, and execute logical tasks

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In the Age of AI, Trust Outranks Visibility
AI and ML
In the Age of AI, Trust Outranks Visibility

Esteemed brands, influential public figures, and vital institutions are facing an unprecedented existential threat not from market competition or public opinion, but from the cold, impartial logic of the AI that now governs our digital world. A monumental shift is underway, moving the internet away from a human-centric model toward an AI-interpreted information ecosystem. In this new reality, traditional markers

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Trend Analysis: Autonomous AI Systems
AI and ML
Trend Analysis: Autonomous AI Systems

The familiar hum of reactive digital assistants is giving way to the decisive, independent actions of autonomous AI agents, signaling a fundamental market shift from conversational novelties to tangible operational partners. This evolution marks the end of generative AI’s experimental phase and the dawn of an era defined by AI agency, where the core demand is for measurable return on

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Why Is Spryker a Visionary in B2B Digital Commerce?
B2B Marketing
Why Is Spryker a Visionary in B2B Digital Commerce?

Today we’re joined by Aisha Amaira, a leading MarTech expert who lives at the intersection of CRM technology and customer data platforms. With B2B commerce rapidly shifting away from traditional models, we’ll be exploring how modern platforms are enabling this digital transformation. We’ll delve into the strategic impact of smart capital, how “agentic AI” is moving beyond buzzwords to solve

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AI Search Accuracy Gaps Create New Business Risks
AI and ML
AI Search Accuracy Gaps Create New Business Risks

The silent hum of a dozen employees using generative AI for quick answers on legal statutes and financial regulations is quickly becoming the soundtrack to a new and insidious category of corporate risk. While these powerful tools promise unprecedented efficiency, a growing body of evidence reveals a significant and dangerous gap between their perceived authority and their actual accuracy. This

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AI Transforms Industries With Unmatched Precision
AI and ML
AI Transforms Industries With Unmatched Precision

The silent revolution occurring across global industries is not one of speed, but of certainty, as artificial intelligence moves beyond simple automation to redefine the very meaning of flawless execution. This technological evolution has quietly replaced the age-old pursuit of minimizing human error with a new standard of computational accuracy, creating systems that are not just faster but fundamentally more

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Will AI’s Future Be Physical, Not Digital?
AI and ML
Will AI’s Future Be Physical, Not Digital?

The recent revelation of Jeff Bezos’s staggering $6.2 billion investment into a new artificial intelligence startup, Project Prometheus, has sent a powerful shockwave through the global technology industry, sparking intense debate about the future of AI and IT strategy. This monumental capital injection has catalyzed a fundamental question that challenges the prevailing narrative of the current AI boom: does this

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Are Data Scientists Becoming AI Conductors?
Data Science
Are Data Scientists Becoming AI Conductors?

A quiet but profound revolution is reshaping data science from the inside out, where autonomous AI systems are taking over the meticulous, manual labor that once defined much of the profession. This is not a distant forecast but a present-day reality, fundamentally altering the role, value, and future of data scientists. The question is no longer if AI will change

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How Will Google’s AI Change How We Search?
AI and ML
How Will Google’s AI Change How We Search?

The familiar list of ten blue links that has defined online discovery for over two decades is steadily giving way to a dynamic, conversational interface powered by artificial intelligence. Google has initiated a significant global test for a new mobile search design, merging its AI Overviews with a conversational AI Mode into a single, unified experience. This fundamental overhaul is

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Trend Analysis: The AI Employment Paradox
AI and ML
Trend Analysis: The AI Employment Paradox

Despite widespread and persistent fears of an impending “AI apocalypse” for jobs, an entirely different reality is beginning to emerge from the data, one where technology complements rather than replaces human labor. Understanding the true impact of artificial intelligence on the labor market is no longer a futuristic debate; it has become a critical necessity for policymakers shaping regulations, business

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