Michael Wahl, MBA
Grosse Pointe, Michigan, United States
6K followers
500+ connections
About
My role as Vice President of Technology at Tweddle Group has centered around pioneering…
Articles by Michael
Contributions
Activity
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From the 12 Days of Learning to a Year of Doing! It’s time to move beyond inspiration and start building. OpenAI’s 12 Days of OpenAI on YouTube is…
From the 12 Days of Learning to a Year of Doing! It’s time to move beyond inspiration and start building. OpenAI’s 12 Days of OpenAI on YouTube is…
Liked by Michael Wahl, MBA
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From the 12 Days of Learning to a Year of Doing! It’s time to move beyond inspiration and start building. OpenAI’s 12 Days of OpenAI on YouTube is…
From the 12 Days of Learning to a Year of Doing! It’s time to move beyond inspiration and start building. OpenAI’s 12 Days of OpenAI on YouTube is…
Shared by Michael Wahl, MBA
Experience
Education
Licenses & Certifications
Volunteer Experience
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Information Technology Consultant
Taproot Foundation
- Present 7 years
Science and Technology
Pro bono work, web design, other technical and business consulting.
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Information Technology Volunteer
St. Paul on the Lake Catholic School
- Present 6 years
Education
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Den leader
Boy Scouts of America, Cub Scouts Pack 61 St. Paul On The Lake
- Present 7 years
Publications
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IT Budget Evolution During The COVID-19 Crisis
Pulse Inc.
“IT and other cross-functional teams should be diligent in tracking trailing maintenance costs, which of course increase the run costs of the business year-over-year. Some have had some real success renegotiating service contracts, extending service life, and consolidating infrastructure, or moving to the cloud—IaaS, PaaS, or SaaS.”
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IT budgets are shifting amid the COVID-19 pandemic
TechRepublic
"There's been a major shift over the last several months, at an aggressive pace, to enable remote work," the Pulse survey quoted Michael Wahl, senior director of IT and cybersecurity at the Tweddle Group, as saying. "Freezing budgets may allow organizations to step back and evaluate technology now that the workforce is remote--but the trade-off could mean taking a foot off the digital transformation gas pedal."
Projects
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AI Framework Development
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The framework development outlines the strategic plan for implementing AI technologies. The vision is to drive innovation, efficiency, and competitive advantage through AI. The roadmap includes several key sections:
Business Needs: The document emphasizes aligning AI technologies with business objectives, such as enhancing operations, improving customer satisfaction, and generating new products.
Data Availability: It highlights the importance of evaluating data preparedness and…The framework development outlines the strategic plan for implementing AI technologies. The vision is to drive innovation, efficiency, and competitive advantage through AI. The roadmap includes several key sections:
Business Needs: The document emphasizes aligning AI technologies with business objectives, such as enhancing operations, improving customer satisfaction, and generating new products.
Data Availability: It highlights the importance of evaluating data preparedness and infrastructure, including data quality, collection, storage, and management methods. The document suggests improvements to support current and future AI projects.
Assembling the AI Team: The plan involves creating a diverse team with data scientists, AI engineers, business analysts, and project managers. It also mentions leveraging partnerships with AI vendors and academic institutions.
Selecting the AI Tech Stack: The document discusses the need to prioritize AI technologies that align with business goals. It suggests focusing on quick wins and using a scoring approach to prioritize AI projects.
Applications-Pilots/POCs: The roadmap includes creating and evaluating prototypes, applying agile methods for development, and focusing on transformational projects rather than just cost savings.
Expanding AI Solutions: It proposes a strategy for expanding successful AI prototypes within the organization and setting up metrics to evaluate AI performance.
Getting Production Ready: The document emphasizes stakeholder engagement, training, and development to prepare employees for AI tools and systems.
AI Use Cases: It lists various AI applications with high returns and low efforts, such as customer service chatbots, generative content creation, predictive maintenance, process automation, and AI-assisted recruitment.
This work provides a comprehensive plan for integrating AI into operations, focusing on innovation, efficiency, and strategic alignment with business goals. -
AI Governance and Ethics Framework
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The AI Governance and Ethics Framework outlines principles and policies for responsible AI use within an organization.
Scope: This framework applies to all AI systems, projects, and initiatives within the organization, covering the entire AI lifecycle and involving cross-functional teams.
AI Governance Structure: The AI Governance Committee, a cross-functional team, will oversee AI governance, developing and enforcing ethics policies.
Committee Responsibilities: The…The AI Governance and Ethics Framework outlines principles and policies for responsible AI use within an organization.
Scope: This framework applies to all AI systems, projects, and initiatives within the organization, covering the entire AI lifecycle and involving cross-functional teams.
AI Governance Structure: The AI Governance Committee, a cross-functional team, will oversee AI governance, developing and enforcing ethics policies.
Committee Responsibilities: The committee will review AI projects for risks, ensure alignment with policies, oversee bias detection, ensure compliance with laws, and provide ethical AI leadership.67
Fairness and Bias: AI systems should be developed with fairness in mind, including regular bias audits, using bias mitigation tools, and employing inclusive datasets.
Transparency and Explainability: AI models must be transparent and explainable, with built-in explainability tools, comprehensive documentation, and clear communication of AI decisions.
Accountability and Responsibility: Clear accountability for AI systems must be established, including risk management processes and comprehensive audit trails.
Compliance with Regulations and Data Privacy: AI systems must comply with laws and regulations, with regular audits, privacy-preserving technologies, and data governance practices.
Monitoring and Auditing: AI systems should be monitored and audited regularly to ensure performance and compliance, with procedures for retraining models as needed.
Ethical AI Leadership and Culture: The organization is committed to fostering a culture of ethical AI, providing ethics training, ensuring leadership commitment, and designating ethics champions.
Governance Enforcement and Review: The AI Governance Committee will conduct regular reviews of policies, provide annual reports, and ensure alignment of AI projects with the framework before deployment.
Organizations
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Amazon Web Services
Community Builder
- Present#AWSCommunityBuilders
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Cloud Security Alliance
Member
- PresentDetroit Chapter
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(ISC)2
Member
- PresentGreater Detroit Chapter
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Information Systems Security Association
Member
- PresentDetroit Chapter
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AUTO-ISAC
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- Present -
AXELOS - ITIL
Member
- Present -
Detroit Economic Club
Member
- Present -
Technology Business Management
Council Member
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Western Governors University
Alumni Ambassador
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🚀 Exciting News! 🚀 We are thrilled to announce that xMonthly is now an official Microsoft AI Cloud Partner! https://xMonthly.com Our journey is…
🚀 Exciting News! 🚀 We are thrilled to announce that xMonthly is now an official Microsoft AI Cloud Partner! https://xMonthly.com Our journey is…
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