Category: Data Driven Organization
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Culture Change: 4 Ways to Overcome Tribal Knowledge and Inspire Developing Expertise
Organizations encounter knowledge-sharing issues, often resulting in tribal knowledge and outdated processes. Digital leaders advocate for cultural change, emphasizing expertise sharing to enhance innovation and efficiency. Solutions include dynamic management practices, centralized documentation, AI integration, and incentivizing knowledge sharing. Leaders must prioritize community over documentation for sustained growth.
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AI Digital Dexterity: Upskilling the Next Wave of Transformation Leadership
Digital dexterity is a crucial meta-skill for effective leadership in the genAI era. Leaders need adaptability, a willingness to experiment, and enhanced communication about AI’s role in their organizations. Emphasizing critical thinking and digital literacy is vital for preparing teams for AI’s rapid evolution, moving away from traditional management methods.
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Avoid Rogue AI Agents: How Top CIOs Can Govern the Emerging Agentic Ecosystem
CIOs face critical challenges in managing rogue AI agents emerging from various platforms, highlighting the need for comprehensive digital transformation strategy and AI governance. Experts emphasize the importance of unifying data controls, assessing agent types, and maintaining dynamic oversight to prevent chaos, while harnessing AI’s potential for innovation and efficiency across organizations.
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3 Hidden Workarounds Killing Productivity And How to Spot The Manual Work
Organizations often struggle with gray work—unstructured, manual tasks that hinder productivity. Employees face inefficiencies due to data movement between systems and lack of integrated tools. As software investments rise, many feel overwhelmed, emphasizing the need for dynamic work management solutions. Identifying gray work areas can lead to more efficient workflows and decision-making.
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From SaaS Sprawl to AI Strategy: How CIOs Consolidate and Gain Agility
SaaS sprawl and gray work significantly hinders productivity and collaboration, particularly in sectors like construction and manufacturing. Midsize organizations average 61 SaaS applications, with larger firms using about 200. CIOs are urged to audit their app inventory, reduce redundancy, and invest in low-code platforms to streamline operations and enhance digital transformation efforts.
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7 Ways Gen AI Drives Outcomes: Help Employees With Work They Couldn’t Easily Do Before
Gen AI drivve outcomes by enhancing employee capabilities rather than solely being viewed as a productivity tool. Its true benefit lies in enabling complex tasks, improving customer insights, enhancing call center performance, simplifying compliance, and facilitating data analysis. Ultimately, Gen AI empowers employees, driving significant business outcomes alongside productivity gains.
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Data Privacy Week: How Every CIO and CDO Must Take Control of Their Data
Data Privacy Week 2025 emphasizes the theme “Take control of your data.” Organizations are urged to enhance data governance and security in light of increasing risks from breaches and regulations holding leaders accountable. Key areas to focus on include human factors, data security, and AI governance to mitigate risks effectively.
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6 Important AI and Data Governance Non-Negotiables
The importance of clear governance for CIOs, CTOs, and CDOs in fostering innovation while addressing the complexity of governance policies. One-pagers, termed “non-negotiables,” serve as essential communication tools to simplify governance concepts, align expectations, and ensure adherence to data and AI governance standards for organizational success.
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12 Helpful Gen AI Strategies for Winning with Data Science
Winning With Data Science authors Howard Friedman and Akshay Swaminathan share their 12 gen AI and ML best practices for delivering business value.
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3 Ways Data Governance Leaders Can Promote Their Careers
Data governance leaders who focus on delivering business value through data quality, timeliness, reliability, and trust can promote their careers.
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How Data-Driven Organizations Overcome Culture and Technical Barriers
Insights from Coffee with Digital Trailblazers on becoming data-driven: develop a vision, drive agile data practices, and storytelling to influence
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How to Expand Citizen Data Science: From Successful Analysts to Data-Driven Organizations
Citizen data science, data-driven organizations, and proactive data governance is achievable by creating a data center of excellence