Category: AI

  • 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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  • The Rise of Disposable Software: Why Building to Replace is the New Building to Last

    The Rise of Disposable Software: Why Building to Replace is the New Building to Last

    Disposable Software: The Missing Fourth Leg of our AI Workplace Productivity Stool One of our leaders, Ishan Babbar, was facing a time consuming task. One that was going to require analysis of hundreds of data points, across multiple files as well as an understanding of a specific project. The kind of work that, done the…

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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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  • Scaling AI Beyond the Pilot: Four Foundational Shifts for the Enterprise

    Scaling AI Beyond the Pilot: Four Foundational Shifts for the Enterprise

    From Pilot to Whole-Org Value At Ateko, we frequently see organizations struggle to translate the excitement of a pilot into organization-wide value. AI adoption is high. Most organizations are using AI in at least one function. Yet studies suggest that up to 62% remain stuck in the early experimenting or piloting stages. If your organization…

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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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  • Marketing Cloud Account Engagement vs Marketing Cloud Next: Migration Considerations

    Marketing Cloud Account Engagement vs Marketing Cloud Next: Migration Considerations

    As Salesforce continues to evolve its marketing ecosystem, many organizations are starting to look beyond feature comparison and ask a broader question: how do you evaluate a move from Marketing Cloud Account Engagement (MCAE) to Marketing Cloud Next? For many teams, this is not simply about adopting a newer platform. The goal is to determine…

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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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  • Adventures in Fabric Vol. 2: So Many Houses

    Adventures in Fabric Vol. 2: So Many Houses

    In our first blog post, Adventures in Fabric Vol. One: The Future of Analytics, we explored why Microsoft Fabric is transforming the data analytics landscape. We highlighted its seamless connectivity, flexible storage options, diverse toolset, and Microsoft’s commitment to continuous innovation. We also introduced Fabric Manager, Ateko’s accelerator for Microsoft Fabric, designed to simplify implementation…

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