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Artificial Intelligence

Artificial Intelligence
The Future of AI in Marketing
Enterra Solutions acquired 380ai to generate marketing value through AI. CMO Sami McCabe notes most companies focus on efficiency over actual revenue, with 97% unable to perform basic predictive modeling.

Artificial Intelligence
Watch Out for the Bad Vibe (Coding)
Vibe coding uses AI to create software from plain language prompts, making coding accessible to non-programmers. While promising for personal projects, it poses significant risks for enterprises requiring careful precautions.

Artificial Intelligence
Retailers Need to Focus on the “AI” in Retail
The retail sector faces significant disruption from digital transformation and changing consumer behavior. Widespread AI adoption across all business operations is now absolutely essential for maintaining long-term competitive market survival.

Artificial Intelligence
Agentic AI: Part One, Transforming Enterprise DNA
Agentic AI represents autonomous artificial intelligence systems that can observe, plan, and act independently to solve complex business problems, fundamentally transforming modern enterprises through sophisticated automated decision-making across multiple industries.

Artificial Intelligence
Artificial Intelligence: Guardrails, Growth, or Both?
The current administration's AI action plan prioritizes rapid growth over safety guardrails to compete globally with China, trading comprehensive regulatory oversight for technological dominance while Congress prevents individual state-level AI regulations through federal preemption legislation.
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Personal Dispatches: Reflections on today’s society through the lens of Fortune Magazine December 1941

Artificial Intelligence
Trends 2025: Artificial Intelligence
The article outlines six key AI trends predicted for 2025: agentic AI becoming autonomous digital workers, rise of smaller language models, increasing data value and usability, AI convergence with sensors and biotech, quantum computing integration, and ongoing challenges in AI implementation.

Artificial Intelligence
How Would Alan Turing React to Today’s Generative AI?
The article discusses Alan Turing's contributions to AI, including the famous Turing test and its variations. It explores how modern AI systems approach Turing's vision, while highlighting ongoing challenges in achieving true machine intelligence.

Artificial Intelligence
How to Lead Change in the New Year
Companies face four key challenges: managing change, predicting the future, maintaining leadership authority, and staying relevant. Success requires cultivating employee buy-in, embracing digital transformation, and adopting flexible organizational approaches supported by AI technologies.

Artificial Intelligence
AI Success Requires People Success
AI adoption success requires aligning technology with employee needs. Despite high executive support, many AI projects fail due to poor user adoption. Success depends on proper training, demonstrable value, and making AI tools accessible to non-technical staff.