Category: Data

  • From Pilot to Whole-Org Value

    From Pilot to Whole-Org Value

    Part 1 of the Systemic Shift to Scaling AI from Pilot to Scale series, examining how organizations can transform AI initiatives into enterprise-wide value At Ateko we frequently see organizations struggle to translate the excitement of a pilot into organizational wide value. While AI adoption is high, with most organizations using AI in at least…

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  • Salesforce CTI to SCV: Deadline Nobody Is Talking About Enough

    Salesforce CTI to SCV: Deadline Nobody Is Talking About Enough

    Salesforce is retiring Open CTI. If your organization leverages it as part of your voice/telephony strategy, the planning window is open….and shorter than it looks. In February 2026, Salesforce announced that Open CTI, the popular, but very dated JavaScript-based telephony integration framework that has quietly powered Salesforce voice integrations since 2012 will be end-of-lifed February…

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  • Find Your 2,500 Rows: The AI Shift Hiding in Everyday Work

    Find Your 2,500 Rows: The AI Shift Hiding in Everyday Work

    Ok, first some background.  My mom has been using Excel since she got her current job as an Accounts Payable clerk in the early 2000’s. I began using Excel at a co-op job in 2013. But it wasn’t until I was living with my parents during the pandemic that I saw how differently we used…

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  • Our Approach to Modern Application Development

    Our Approach to Modern Application Development

    Modern application development, when executed effectively, empowers rapid innovation through cloud-native architectures. This approach leverages loosely coupled microservices, managed databases, AI, DevOps support, and built-in monitoring. Customers frequently ask us how to adopt this approach, particularly how to do so securely and with controls that don’t impede the development process. Our goal is to provide…

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  • Navigating the Challenges of Implementing Generative AI Without a Robust Data Landscape

    Navigating the Challenges of Implementing Generative AI Without a Robust Data Landscape

    In the rapidly evolving world of technology, GenAI stands out as a transformative force with the potential to revolutionize industries. However, implementing GenAI solutions in an organization without a robust data landscape can be recipe for disaster. A solid foundation in data governance, cloud architecture, and data visualization is crucial for the successful deployment and…

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  • More Than an Award: Why Our Google Partner of the Year Win Hits Close to Home

    More Than an Award: Why Our Google Partner of the Year Win Hits Close to Home

    When the pictures came back from this week’s awards ceremony, the significance of the moment really sank in. Bell being named Google Cloud’s Public Sector Partner of the Year for Canada is an incredible honor, but seeing leaders from both Bell and Ateko standing on that stage together to accept the award told a much bigger story.  For…

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  • From Pipelines to Power: Orchestrating Enterprise Data with Apache Airflow and Microsoft Fabric

    From Pipelines to Power: Orchestrating Enterprise Data with Apache Airflow and Microsoft Fabric

    Enterprise data platforms are continuing to evolve – faster iteration, broader analytics adoption, and rising expectations for reliability and governance. Many modern teams find themselves operating at the intersection of two worlds: Apache Airflow, a proven standard for orchestration, and Microsoft Fabric, an end‑to‑end analytics platform designed for scale and consistency. Aligning these two effectively…

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  • Why Unity Catalog Is the Cornerstone of Scalable Data Governance in Databricks-Driven Organizations

    Why Unity Catalog Is the Cornerstone of Scalable Data Governance in Databricks-Driven Organizations

    In today’s data-driven world, organizations are scaling their analytics and AI capabilities faster than ever. But with that growth comes a critical challenge: how do you govern data effectively across teams, tools, and regions, without slowing innovation? If your organization is using Databricks and hasn’t yet implemented Unity Catalog, Databricks’ unified governance solution, now is…

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  • Adventures in Fabric Vol. 4: Maestro Please, Orchestration

    Adventures in Fabric Vol. 4: Maestro Please, Orchestration

    In this edition of Adventures in Fabric, we explore orchestration in Microsoft Fabric through the lens of Apache Airflow. We share our early experience using Airflow as an offering within Fabric, outline key functionality, note current limitations, and discuss Microsoft’s recently released native Fabric Operator. Some of you may be hearing about Airflow for the…

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  • Adventures in Fabric Vol. 3: Many Tools in the Toolbox

    Adventures in Fabric Vol. 3: Many Tools in the Toolbox

    It’s funny how it goes. You ask for choices, and then feel overwhelmed when you get them. You think, “Wow, that’s too many choices. How do I choose?” Well, it’s kind of like that in Microsoft Fabric. You have all the tools at your fingertips: dataflows, data pipelines, notebooks, and eventstreams. But now the real…

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