Category: AI for Problem Solving
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When AI Access Isn’t Equal, Outcomes Won’t Be Either
AI transforms how work gets done, but inconsistent adoption are creating new gaps. Here’s why shared AI systems matter more than tools alone.
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Google Just Told Us the Future of Marketing. Most Companies Aren’t Ready.
AI is no longer just a tool inside the workflow; it’s becoming the workflow itself. Here’s what this means for marketing and governance.
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You Can Now Control Where ChatGPT’s Deep Research Looks
You can now tell Deep Research exactly which websites to use when conducting research which makes AI research scalable.
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Maximizing AI Performance: Fine-Tuning and RAG Explained
Why you need RAG and fine-tuning. Both rely on additional data to improve model performance, but they use that data differently.
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Meta is Betting Big on AI “Superintelligence” and Alexandr Wang
Meta invests in superintelligence AI research lab led by Scale AI’s founder, Alexandr Wang. Here is a look a the their plans.
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Sam Altman, Jony Ive, and the AI iPod That Wants to Fix Your Brain
Sam Altman and Jony Ive team up to create AI devices that integrate seamlessly and get us away from screens. Here’s what they have in mind.
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The Impact of AI Agents: Why the Internet Will Never Be the Same
AI Agents will soon drive most online searches, purchases and other activities. Brands need to prepare for the autonomous internet.
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The AI Tools Transforming College Canvas Courses in 2025
A look at the top AI tools for colleges and universities to automate common tasks and improve administrative and in–classroom efficiencies.
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Gemini AI Now Offers Live Video and Screen Sharing
Gemini can now view your camera feed in real-time, including screen-sharing. This will empower productivity and learning, while creating new privacy implications.
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Democratizing AI: Making Tools Accessible for All Teams
Anthropic upgrades Claude with collaboration tools, prompt libraries, and extended thinking controls, making the tool more accessible.
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The Future of Marketing: AI and Synthetic Emotions
How synthetic emotions generated with AI are taking the usual A/B testing to new heights, helping marketers make deeper connections.