
Insights
Explore our case studies and articles to learn how data intelligence transforms businesses.

What Does a Data Person Do?
Explore the diverse roles, responsibilities, and skills of modern data professionals, from analysts and scientists to engineers and emerging specialized positions driving innovation across industries.
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What is Data in Simple Words?
A basic explanation of what data is (information!), where it comes from, its different forms (numbers, text, images), and why it's useful.
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Where is an AI stored?
Explore where AI models, code, and data reside – typically distributed across cloud platforms, on-premises servers, edge devices, and local computers.
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What Does LLM Stand For in AI?
Understand the meaning of LLM (Large Language Model) in AI, how these models work, their capabilities, limitations, and their role in modern AI applications.
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Can AI Read Your Thoughts? Separating Fact from Fiction
Explore whether AI can truly read thoughts, delving into BCI technology, behavioral inference, current limitations, and the critical ethical considerations.
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How is AI Used in Business Process Management (BPM)?
Explore how Artificial Intelligence enhances Business Process Management (BPM) across its lifecycle, from process mining and analysis to automation and optimization.
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What Are Two Key Benefits of Integrating Generative AI into Business Operations?
Explore two major benefits of using Generative AI in business processes: drastically enhanced productivity/efficiency through content automation and scalable hyper-personalization of customer interactions.
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What is a Primary Ethical Consideration When Using AI for Hiring?
Explore why bias and unfair discrimination are the primary ethical concerns when using AI in hiring processes, and learn about mitigation strategies for responsible implementation.
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What is a Key Benefit of AI in Managerial Business Environments?
Explore how enhanced data-driven decision-making is a crucial benefit AI offers managers, enabling faster, more accurate, and predictive strategic choices.
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What Are the 4 Business Strategies for Implementing Artificial Intelligence?
Explore four common strategies for implementing AI: Augmentation (assisting humans), Automation (replacing tasks), Innovation (new offerings), and Foundational Capability building.
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How is AI Used for Business Process Mapping?
Learn how AI techniques like process mining, NLP, and task mining are used to automate and enhance business process mapping, providing data-driven insights into workflows.
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What is One Essential Principle When Integrating AI into Business Processes?
Discover the most crucial principle for successful AI integration in BPM: starting with a clear business problem or opportunity to ensure value and guide implementation.
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How Will AI Impact Business Strategy Over the Next 25 Years?
Explore the projected long-term impact of AI on business strategy, including hyper-personalization, autonomous operations, augmented decision-making, innovation, and workforce transformation.
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Is Business Process Reengineering (BPR) Still Relevant?
Explore the continued relevance of Business Process Reengineering (BPR) principles in the age of digital transformation, AI, and continuous improvement.
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What is Business Process Automation (BPA) Using AI?
Discover how AI enhances Business Process Automation (Intelligent Process Automation) by handling unstructured data, making complex decisions, generating content, and enabling adaptive workflows.
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