Zach Eslami is a product leader specializing in AI and automation, with a focus on building enterprise-ready tools for developing context-aware, compliant generative AI agents. He has led the development of agent frameworks, trust layers, and evaluation systems that help organizations operationalize AI responsibly and effectively. Known for his practical approach to complex AI challenges, Zach shares insights on topics such as AI agent design, risk scoring, and real-world implementation best practices. He is a frequent speaker at industry events and an advocate for responsible innovation in the AI ecosystem.
April 6, 2026
Best Data Governance Tools for Enterprises: 2026 GuideFor years, data governance was viewed as a background concern. Teams had bigger priorities to tackle and more pertinent problems to solve. Then AI agents came into the fold and started generating business decisions from inconsistent data, and suddenly, governance…
As AI agents move beyond the helpful copilot phase and into more powerful applications, enterprises are responding with global adoption. Agentic AI is everywhere, from analytics and finance to customer service and operations. It's changing how organizations go from asking…
March 30, 2026
Why AI Agent Governance is the Latest Priority for EnterprisesOver the past year alone, AI tools that once surfaced insights and handed them to a human for action have begun carrying out those actions themselves. Sixty-two percent of organizations are now experimenting with AI agents, according to McKinsey's latest…
March 27, 2026
AI vs. BI: Differences, What Changed, and Why Semantics Became CriticalEnterprise analytics was never just about data. It was about trust and confidence, getting the right people the right information so they could make intelligent decisions and keep things moving forward. The BI stack was made for that purpose, and…
March 26, 2026
AI Agents Are Transforming Compliance: Opportunities and Risks for Enterprise DataAutonomous AI agents, which are systems designed to accomplish tasks and goals independently without human oversight, have become integral across a wide range of use cases, spanning from customer service to supply chain management. It's no surprise that, as regulatory…
March 16, 2026
Using AI Agents for Data Analysis: How Autonomous Agents Are Changing AnalyticsFor a long time, enterprise analytics centered around building dashboards, running scheduled reports, and relying on the right person to ask the right question at the right time. That model is changing. Autonomous AI agents can now look through data…
January 26, 2023
Embracing BI to Scale AIHow AI-generated Insights with BI Tools Drives Successful Adoption and Next-Level Business Analytics, Data Analysis, and Decision-Making AI Projects Fail Fast and Often An estimated $500B in worldwide spend on AI in 2023, and seven in ten US organizations…
September 27, 2022
How to Use the Best AutoML Tools to Scale ML…with CautionThe use of AutoML products has increased drastically in the last few years as AI has become more widely applied in the modern data analytics stack. And there’s still potential for more growth in the years ahead; according to recent…
September 15, 2022
Now Available: AI-Link Lab EnvironmentAt AtScale, we believe in applying data to solve key challenges in the modern data stack for the enterprise. Bringing together key data personas to align on objectives, data, and definitions is crucial for the successful deployment of analytics and…
September 1, 2022
How to Go Beyond Data Storytelling to ML and AI StorytellingThis post written by Zach Eslami in collaboration with Jeff Curran. Storytelling is an art and a skill. Any good storyteller knows it’s always tricky finding that sweet spot to explain a concept so that it’s detailed, but doesn’t overwhelm.…
July 21, 2022
Ops for MLOps: AtScale AI Innovation Council InsightsWe kicked off our inaugural AtScale AI Innovation council today discussing a hot topic: Ops for MLOps: Best practices and processes to expedite model creation and reduce the need for significant re-training. We had a fantastic group of members dive…
July 14, 2022
Creating a Time Series ML Model with AtScale’s AI-Link, Snowflake, and FeastExciting news hot off the press: AtScale has recently announced our support for the Feast feature store! This is part of our ongoing efforts to increase the interoperability of our platform to upstream data sources and downstream analytics tools. AtScale…
June 21, 2022
Rethinking Feature Stores to Better Align AI/ML to Business Impact“We are drowning in information, but starved for knowledge.” - John Naisbitt The wheels of commerce are always churning, pushing merchants to find new opportunities, answers to questions, and the next breakthrough strategy to keep growing. One can imagine the…