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Building Internal Analytics Conferences for Organizational Growth
IIA clients leverage analytics maturity assessments, battle-tested frameworks, and cross-industry collaboration to prioritize and execute strategic enterprise data and analytics initiatives. We regularly check the pulse of trending topics for our community and facilitate critical conversations in virtual roundtable format for peer-to-peer exchange. In a recent IIA roundtable discussion, data
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Assembler, Architect, Seer: My Analytics Leadership Style
A moment of reflection. “What kind of an (analytics) leader were you?” a friend asked me recently. Hm, good question. I didn’t really think too deeply about that before. During my tenure as the analytics head for Citibank Singapore and then Citibank Asia Pacific (the function had the more sophisticated
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The Children's Minnesota Journey: Accelerating Growth of a Data-Driven Community
We have discussed many aspects of the analytics and AI journey in healthcare: the rapidly changing business landscape and the need to accelerate our data innovation journey, the operating model and entrepreneurial mindset that provides the framework for a scalable, agile ecosystem, the skills needed to lead the expedition, the
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AI Maturity: Defining, Measuring, and Prioritizing Initiatives
IIA clients leverage analytics maturity assessments, battle-tested frameworks, and cross-industry collaboration to prioritize and execute strategic enterprise data and analytics initiatives. We regularly check the pulse of trending topics for our community and facilitate critical conversations in virtual roundtable format for peer-to-peer exchange. In a recent IIA roundtable discussion, data
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August: Best of the Web
Read below for a roundup of interesting sites, resources, and articles from around the web, curated and contextualized by unbiased analytics experts at IIA. Highlights include an AI Risk Repository from MIT, an article on the essential analytics frameworks, and a case study on Scotiabank's AI initiatives. Follow us on
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2024 AI Consensus: Approaches and Outcomes
IIA clients leverage analytics maturity assessments, battle-tested frameworks, and cross-industry collaboration to prioritize and execute strategic enterprise data and analytics initiatives. We regularly check the pulse of trending topics for our community and facilitate critical conversations in virtual roundtable format for peer-to-peer exchange. In a recent IIA roundtable discussion, data
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IIA Roundtable: 2025 Forecasting and Budgeting for AI
As organizations gear up for 2025, data and analytics leaders from diverse industries explore strategic approaches to forecasting and budgeting for AI investments. Attendees will discuss their anticipations and strategies for the upcoming year, ensuring AI efforts are not only progressive but also well-funded and aligned with business goals. Key
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The Problem with Data Literacy
Data Rich, Information Poor Gartner defines data literacy as “the ability to read, write and communicate data in context, with an understanding of the data sources and constructs, analytical methods and AI techniques applied.” Moreover, it’s the ability to describe the analytical use-case application and resulting business value or outcome.
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The Anatomy of Agentic AI
This article was originally posted on Medium. In this article we will elaborate on the anatomy of agentic AI and how it operates. The diagram below illustrates a multi-agent system architecture for agentic AI, where multiple agents collaborate to achieve a common goal within a business and or physical environment
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Machine Learning Lifecycle, Part 1: Deployment
I recently enrolled in DeepLearning.AI’s course, Machine Learning Engineering for Production (MLOps). The first lesson of this specialization introduces the machine learning project lifecycle and the approach to the main steps and issues that emerge throughout an ML project. The course defines MLOps as machine learning plus software development, and