At its core, effective teaching and learning hinge on meaningful feedback. It’s not just about grading; it’s about investing in each student’s growth, challenging them to think critically, and creating an environment where deep learning can happen. As educators, we nurture this process by providing the guidance and support that transforms education from a mere transfer of information into a transformative experience.
Read MoreWhere Business Meets Technology in the Marketplace of Information
Real estate focuses on governance and value derivation from assets. The Marketplace facilitates value-driven transactions while maintaining order, quality, and trust throughout the ecosystem. BOTH must work TOGETHER.
Read MoreNavigating the Complexity of Data Projects: Lessons from the Rubik's Cube
As someone in the information management space for nearly thirty years, I've seen firsthand how the landscape of data projects has evolved. Understanding complexity is crucial for success. Imagine a Rubik's Cube. Unlike a jigsaw puzzle where pieces fit independently, every move on a Rubik's Cube affects the entire structure. This is the perfect metaphor for modern data projects. They're not just complicated; they're complex.
No stakeholder, risk, or work stream can be viewed in isolation with data projects. Marketing can't operate without considering IT's capabilities, and HR needs to align with data privacy standards. It's an intricate dance of interdependencies that requires a holistic approach.
Read MoreCultivating a Data Ecosystem: A Fresh Approach to Organizational Data Management
Many organizations have recognized the need to enhance their data management capabilities. The traditional response has been to centralize these efforts, often by appointing a Chief Data Officer (CDO). However, this well-intentioned approach often leads to challenges and resistance within the organization.
Read MoreDescribing data consumption to anyone
Visualizing data consumption as a bustling marketplace can help illuminate an organization’s diverse needs. Let’s explore how various business roles interact with data, like shoppers in a busy bazaar.
Read MoreLow and High Quality AI: What's the Difference?
When we talk about "low-quality AI," we're referring to AI systems that are less sophisticated, less accurate, or more limited in their capabilities. These systems, interestingly, can sometimes lead to more critical and independent thinking from users.
Read MoreThe Double-Edged Sword of AI in Education and Work: Lessons from the Frontlines
As adjunct faculty, I get a front-row seat to the AI revolution in education and the workplace. What I've observed is both exciting and concerning, a paradox that we must navigate carefully as think about our future work.
Read MoreData Storytelling: Transforming Insights into Action With 2 Case Studies
The ability to craft compelling narratives from complex information is a superpower. Working with graduate students across various sectors, I help communicate how effective storytelling can bridge the gap between data teams and business leaders. Let's explore how to master this art and avoid common pitfalls.
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Anticipating Resistance: A Proactive Approach to Data Project Success
In data leadership, resistance to change is often viewed as an inevitable hurdle to overcome. Successful data leaders should reframe that paradigm to planning for resistance before it occurs. This proactive approach not only smooths the path for project implementation but also fosters a culture of open communication and mutual understanding among their stakeholders.
Read MoreAnalytics Challenge: Lack of Data Literacy Among Stakeholders
The symbiotic relationship between technical analytics development and business utilization underscores the heightened emphasis on data literacy skills. Recognizing that literacy demands effort from technical and business domains, analysts must simplify and convey insights while business teams must effectively apply them.
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