The AI Adoption Slow Lane
As AI becomes embedded within tech stacks, the key challenge is to find a workflow that allows both humans and agents to interact with apps.
The SaaS Doom Bubble
According to the stock market, SaaS is legacy technology. Some SaaS companies do have an AI problem, for most, AI is just another feature.
Demand Agents: The Need for Machine Learning
Humans learn through doing. AI is no different. A culture of experimentation and iterative improvement is key to building a production-ready agent.
Microsoft Ignite AI's Governance Question
Generative AI has a security and compliance problem that few vendors are willing to address. Now Microsoft is giving enterprises the tools they need.
AI Beyond the Digital Economy
The pursuit of AGI is already having unpredictable consequences. Yet, the speed of AI driven growth will be limited by real world constraints.
Revolution When: The Waiting Game
Like all cutting edge technologies, Generative AI attracts excessive hype and uncertain ROI. Amid a trough of disillusionment, its time will come.
Demand Agents: Human Assisted AI
AI is a powerful tool, but when planning AI projects, companies need to be clear on how it can deliver value and where it can boost productivity.
Next-Gen Automation: The Outlook for Agents
Agents are still a long way from being production-ready. New announcements from Microsoft and Salesforce show that the capability gap is closing.
Revolution When: The Limitations of Agents
AI agents are the future of enterprise automation. Yet, adoption has been slow. For all the benefits, significant questions about their usefulness remain.
Next-Gen Automation: The Role of Agents
AI agents are not a replacement for traditional rule-based automation workflows. They merely expand the types of business processes that can be automated.