Insights
Tracking What Matters
Key announcements, milestones, and moments that matter—from Innovative Solutions and our partners.
This includes company news, AWS recognitions, product launches, and updates that reflect how we’re growing and where we’re headed.
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AI is moving from experimentation into execution, and forward deployed engineering gives teams a faster, more focused way to turn opportunity into working capability. By putting Forward Deployed Engineers closer to the business, the data, and the users, companies can move beyond planning and start compounding real AI value.
Direct API access helped companies move fast on AI, but speed has a way of becoming infrastructure. This post looks at why more AWS-centered organizations are moving Anthropic, OpenAI, and other models into Amazon Bedrock, and what to evaluate before making the shift.
In our podcast AI Unplugged, Episode 15, ROI, Tokenomics & the AI Bubble, we talk about how the AI conversation is shifting from experimentation to accountability. Customers are no longer only asking what AI can do. They’re asking what changed, what it cost, and whether the result can be measured.We also explore the operational reality most teams are starting to face: AI usage does not automatically equal AI value. Token consumption, generated output, and faster individual tasks only matter if they improve the workflow, reduce friction, increase consistency, or create measurable business impact.
Innovative Solutions, an Amazon Web Services (AWS) Premier Tier Services Partner that delivers AI and data services to growing businesses, today announced the launch of Forward Deployed Services, a new service line that embeds Forward Deployed Engineers (FDE) and architects directly into customer environments to build, manage, and continuously optimize AI and cloud solutions. The offering brings FDE delivery to the growing businesses that need it most.
AI is speeding up work. But speed is starting to expose a new problem: trust. In Episode 14 of AI Unplugged: AI Trust, Global Politics & Agentic Delivery, we unpack why AI favorability can fall as usage rises, especially when outputs feel influenced, accuracy feels inconsistent, and people start questioning what’s behind the answer.AI Unplugged is available on YouTube and where ever you listen to podcasts.
Six months into the year, the reality of AI is starting to take shape. In this post, Innovative’s CTO shares what’s actually working, where companies are getting stuck, and what leaders should focus on next to turn AI from experimentation into real business impact.
Most “AI automation” is just a fancy if-this-then-that. That’s useful, but it hits a ceiling fast. The big jump comes when AI can handle a whole task end-to-end and safely. It can figure out the steps, pull the right info, use the right tools, and know when to stop or ask a human. That’s an agentic workflow.
AI made the work faster and productivity increase. But at what cost? We discuss the risk of AI and burnout in Episode 13 of AI Unplugged: The Productivity Paradox.AI Unplugged is available on YouTube and where ever you listen to podcasts.