Published on August 3, 2026 | By: Aditi Bharade Getting good returns on AI spending is the hottest enterprise topic of the day, and AI consultants have a neat cost-saving hack. Read the full article in Business Insider.
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Published on July 230, 2026 | By: Joao-Pierre S. Ruth Frothy AI trends, such as tokenmaxxing, pushed many teams to the sudden realization that the check comes due for AI resources. Listen to the full episode in Information Week.
Published on July 17, 2026 | By Nicholas Gordon On Thursday, Moonshot AI, a Beijing-based AI startup, unveiled the latest version of its Kimi large language model, which promises performance close to Anthropic’s Fable 5—perhaps the most powerful publicly available model today—at a fraction of the cost. Read the full piece here.
Published on July 10, 2026 | By Meredith Shubel AI coding agents make it easy to pump out code, but leaders say that’s not real productivity. Read the full article on The New Stack.
Published on July 9, 2026 | By Maya Perez Software teams race to adopt AI coding tools. Yet many watch their once-manageable codebases swell with brittle, hard-to-maintain additions. Read the full piece here.
When I reflected on MSR Communications’ 25th anniversary, our industry was already changing quickly. Just two years later, the pace of transformation has accelerated beyond what many of us imagined. AI has taken the world by storm. Search is being reshaped by answer engines and generative platforms. AEO and GEO have become the communications lexicon…. View Article
Published on July 8, 2026 | By Thomas Claburn The price of AI tokens is fluctuating widely, with some becoming cheaper and others more expensive, leaving users of AI services struggling to assess if the price is right. Read the full piece on The Register.
Published on July 1, 2026 | By Harold Byun AI capability continues to accelerate. Models are becoming more powerful, more autonomous, and more deeply integrated into enterprise workflows. Read the full piece on Techstrong.ai.
Published on June 30, 2026 | By Ameya Kanitkar For over a decade, engineering leaders have relied on frameworks like DORA and SPACE to understand developer productivity. These models brought rigor to a field that once relied heavily on intuition. They helped organizations improve deployment frequency, reduce failure rates and build stronger cultures. Read the… View Article
Published on June 17th, 2026 | By Ameya Kanitkar For a brief window, companies had access to the most transformative technology in a generation at the cost of a streaming subscription. Tools like ChatGPT put AI within reach of anyone with a browser and time for experimentation, while GitHub Copilot came in at just $10 a month, with token costs remaining relatively low…. View Article