President | StarCIO | Chief Digital Trailblazer | Founder | Author
Isaac Sacolick is the President at StarCIO and serves as Chief Digital Trailblazer, Founder, and Author. He specializes in areas such as AI and ML, data management, and cloud computing, with a focus on software development and autonomous systems. Isaac's insights and expertise have been featured in Channel Asia, SlideShare, InfoWorld, and CIO Online.
Preston is the artificial intelligence that powers the Intelligent Relations PR platform. Meet Preston
Not enough data
Isaac's coverage primarily revolves around software & SaaS, tech, and data & analytics. His articles often cite data and provide expert commentary, indicating a preference for factual information from knowledgeable sources.
To effectively reach out to Isaac, consider offering insights into emerging technologies such as DevSecOps, CI/CD practices, shadow IT management or the application of AI and machine learning in software development. Providing actionable how-to guides or sharing success stories related to these topics could also capture his interest.
Given that Isaac’s geographic focus is within the United States but not specified further than that, it may be beneficial to offer case studies or examples with relevance to U.S.-based companies when pitching relevant topics.
This information evolves through artificial intelligence and human feedback. Improve this profile .
The pilot stage is the best time to consider the implications of architecture, security, and operations for running AI systems in production.
You know what else makes coding mistakes, writes bugs, and never writes the same code twice when prompted? Humans. We know how to deal with it.
The model gets the attention. In my fleet, the serious failures came from schedulers, shell assumptions, expired credentials and safety checks that were never actually running.
All the productivity gains of AI coding can be lost without careful attention to basic best practices.
I can build so much more now, and it doesn't even seem like work. But I will miss coding.
CIOs must revamp their IT training and career development agendas to set the stage for the agentic enterprise. Here are the skills to develop and the strategic shifts worth embracing.
Having a solid foundation of documentation, requirements, and QA will help keep AI technical debt from accumulating exponentially.
For stochastic models that can generate different outputs from identical inputs, property-based testing helps identify which input patterns make the model unstable.
To extract the most value from AI, companies need employees with exceptional critical thinking skills. Here are some ways to develop them.
What happens when your organization scales from dozens of AI agents running on a handful of platforms to hundreds or thousands of agents?
