xOPS: Transdiciplinary approach to incorporating AI into the Software
For today, I’m going to define ๐ ๐ข๐ฝ๐ as ๐๐ฒ๐๐ฆ๐ฒ๐ฐ๐ข๐ฝ๐ + ๐๐ฎ๐๐ฎ๐ข๐ฝ๐ + ๐ ๐๐ข๐ฝ๐. Why though? Because the integration of AI capabilities into our software requires more than traditional DevSecOps.
I’ve spent decades architecting software solutions for complex challenges, I’ve learned that pragmatism, integration, and flexibility are paramount.
๐ ๐ข๐ฝ๐ ๐ถ๐๐ป’๐ ๐ฎ ๐บ๐ฒ๐๐ต๐ผ๐ฑ๐ผ๐น๐ผ๐ด๐; it’s a transdisciplinary mindset that integrates the ๐ฝ๐ฟ๐ถ๐ป๐ฐ๐ถ๐ฝ๐น๐ฒ๐ of DevSecOps, DataOps, and MLOps.
Alignment makes sure we are addressing our AI systems to be technically adept as well as also ethically grounded, secure, and strategically coherent.
In ๐๐ฒ๐๐ฆ๐ฒ๐ฐ๐ข๐ฝ๐, prioritize ‘security by design’ and ‘defense in depth’ to bake cybersecurity into every layer of the infrastructure. Automated workflows and continuous monitoring underscore the proactive stance against emergent threats, while compliance and risk management remain the compass in navigating the complex regulatory landscape. ๐๐ฒ๐ ๐ฝ๐ฟ๐ถ๐ป๐ฐ๐ถ๐ฝ๐น๐ฒ๐ ๐ผ๐ณ ๐๐ฒ๐๐ฆ๐ฒ๐ฐ๐ข๐ฝ๐:
- Secure by Design/Defense In Depth
- Automated Workflows
- Monitoring
- Infrastructure as Code
- Compliance and Risk Management
- Culture of Continuous Improvement
๐๐ฎ๐๐ฎ๐ข๐ฝ๐ extends the agility of DevOps to data management, emphasizing data quality, integrity, and agile practices. It’s a commitment to compliance and governance that doesn’t compromise on collaboration. It means we all acknowledge, data as the keystone of informed decision-making. ๐๐ฒ๐ ๐ฝ๐ฟ๐ถ๐ป๐ฐ๐ถ๐ฝ๐น๐ฒ๐ ๐ผ๐ณ ๐๐ฎ๐๐ฎ๐ข๐ฝ๐
- Applying DevOps to data management
- Data Quality and Integrity
- Agile Data Management
- Compliance and Governance
- Collaboration
๐ ๐๐ข๐ฝ๐ has a few different definitions. Iโm using it as the effective lifecycle management of AI, from model creation to monitoring and validation. Automating and reproducing workflows enhances collaboration but also drives AI solutions to be robust and responsive to an ever-changing operational environment. ๐๐ฒ๐ ๐ฝ๐ฟ๐ถ๐ป๐ฐ๐ถ๐ฝ๐น๐ฒ๐ ๐ผ๐ณ ๐ ๐๐ข๐ฝ๐
- Effective lifecycle management of AI
- Model Lifecycle Management
- Model Monitoring and Validation
- Automated and Reproducible Workflows
- Collaboration
๐ ๐ข๐ฝ๐ is often used to mean fusion of a few thingsโฆ and my suggestion is no different. This is weaving together different sets of principles ranging from AI assurance to software architecture.
The true power of the xOps concepts lies in its ability to foster a culture of collaboration, continuous improvement, automation, and flexibility.
Seems like a pretty natural call to action for architects, engineers, and leaders alike to reimagine the software development lifecycle (SDLC) so we can safely leverage the potential of AI in service to humanity.
#xOps #DevSecOps #DataOps #MLOps #CyberSecurity #SoftwareArchitecture
DALL-E and I worked together on the pic.