Plan & Deliver Results with Self-Organizing Teams. When agile teams create and drive self-organizing standards, they can make transformation a core competency. Learn more -> #CIO #DigitalTransformation

"You need to have systems in place to help make sense of that data, and no single tool will suffice. As a result, you need to ensure that your pipelines can route data to a wide variety of destinations.".#DataIntegration #DataOps via @NYIke .

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"Just as devops frameworks reinvented scalability, availability, and operability, platform engineering presents a conveyor belt of swappable tools for an assembly line of dev teams" - @mmerrell.#DevOps via @NYIke .

When an emerging technology’s velocity exceeds the organization’s ability to develop skills internally, partners offer an opportunity to accelerate learning, experimenting, and delivering competitive capabilities. #innovation via @NYIke .

"DevOps teams should not be just concerned about faster MTTR major incidents; they should ensure that apps and services are observable to continuously improve an experience's robustness, reliability, and ease of use.".#DevOps #Agile via @NYIke .

More importantly, learning requires pairing up partners with employees, including subject matter experts, product leaders, technology specialists, and data experts. This partnership is the heart of a co-creation model.#innovation via @NYIke .

Today's challenges are less about changing waterfall to agile practices and mindsets, even though many enterprises still have remnants of waterfall planning and less-agile PMOs. #Agile via @NYIke .

Modelops, ML monitoring, and model performance management are terms for practices and tools to ensure ML models operate as expected and provide trustworthy predictions. #ModelOps #ML via @NYIke .

When an emerging technology’s velocity exceeds the organization’s ability to develop skills internally, partners offer an opportunity to accelerate learning, experimenting, and delivering competitive capabilities. #innovation via @NYIke .

I believe CIOs have to rely more on their lieutenants to become Digital Trailblazers and lead digital transformation initiatives.#CIO #DigitalTransformation via @NYIke .

Even seasoned CIOs, CTOs, and CDOs want advice on navigating CXO/SLT & CXO/Board responsibilities - it never feels like you’ve mastered developing relationships that lead to faster/easier decisions.#CIO #innovation via @NYIke .

I knew that investing in lifelong learners is key to driving transformation, especially when resources and budgets are impacted.#DevOps #CIO via @NYIke .

"As apps become increasingly modernized & integrated, orgs should account for edge technologies & integration early in the dev process to prevent the performance & security challenges that come with developing enterprise-grade apps.".#DevOps via @NYIke .

RT @nyike: New post! > The Disastrous GenAI ROI Problem—And 3 Research-Backed Changes CIOs Must Lead.#AI.

RT @SabineVdL: @star_cio @nyike @star_cio, when you combine flexibility with solid tech tools and open communication channels, that's where….

Unlock the full potential of hybrid work by nurturing a culture of innovation. Explore how to empower your teams, leverage technology, and create a flexible work environment that sparks creativity and drives growth. #HybridWork via @NYIke .

On selling innovation to executives:. * Create collegial debates and conflicts but avoid a competitive culture. * Come out of executive meetings with clear decisions. #innovation via @NYIke .

Co-creation starts with co-writing a vision statement and charter. * Vision statements set expectations with business stakeholders, partners, & employees on the objectives.* Charters outline roles & responsibilities.#innovation via @NYIke .

RT @nyike: Floaters, shared services gone wild, fungible teams? I share seven antipatterns in forming agile teams and follow up with best p….

Modelops, ML monitoring, and model performance management are terms for practices and tools to ensure ML models operate as expected and provide trustworthy predictions. #ModelOps #ML via @NYIke .

Ouch > 51% of large enterprises had done early-stage pilots or experiments in artificial intelligence but have yet to put them into production.#AI #ML #CIO via @NYIke .