tigranmuradyants

At Databricks Data + AI Summit this week, Satya Nadella talked about something he called the system of context.

Collecting customer data, governing how it moves, enriching it, and making it available in real time for experimentation and personalization has always meant assembling the pieces yourself.

AI initiatives often fail for the same reason: the data foundation isn’t ready.

At Snowflake Summit 2025, OpenAI CEO Sam Altman and Snowflake CEO Sridhar Ramaswamy captured a truth that every enterprise pursuing AI eventually faces: there is no AI strategy without a data strategy.

In every large-scale Agile transformation I’ve led, one theme keeps resurfacing: Agile delivery cannot succeed without an architectural runway.

In a discussion with executives from a renewable energy leader in solar and modules, we explored challenges in scaling software practices.

In every Agile transformation I’ve led, one pattern repeats: organizations often try to adopt Agile practices without changing the structures that hold them back.

One of the most overlooked aspects of digital transformation is how quality is managed.

No single leadership style guarantees success in transformation, but mismatched styles can derail even the strongest strategy.

In many organizations, inconsistent modeling practices create confusion instead of clarity.

When organizations go through transformation, leaders often focus on structure and process but overlook how team strengths shape collaboration.

Across two decades in technology and engineering, I’ve seen many leadership approaches succeed or fail depending on how well leaders connect with their teams.