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AI for Enterprise Transformation
Strategies for Data Readiness and Successful AI Implementation

This program is structured as a four-module, live-virtual or in-person executive workshop series, tailored to the strategic, governance and implementation interests of senior IT & business executives and their teams.

Outcomes + Imperatives:

• Accelerate digital transformation and AI adoption
• Enable human-centred, trusted and collaborative AI
• Reduces costs and risks
• Enable data-driven decision-making
• Improve service delivery and accelerate innovation

Benefit from Custom Team Sessions:
Intervista relates emerging methodologies and architectures espoused by AI, Data Strategy and Governance experts and delivers these approaches and best practices in customizable programs tailored to your organization's key issues, skill gaps and pain points.

1. AI in the Enterprise: Strategic Value This module focuses on the 'Why' and 'What' of AI at the executive level, linking emerging AI mandates and high-level organizational strategy. AI Capabilities: Value, Digital Strategy & Outcomes for business and government How do we get here: Understanding the Types of AI Implementations (Analytic, Generative, and Agentic) and how they can be used together AI for Business Intelligence (natural language prompts and more) Identifying High-Impact Use Cases: Shifting from efficiency to transformational service delivery and decision-support Measuring Value: Defining and tracking AI ROI beyond financial metrics (e.g., client and citizen trust, faster service, reduced bias, etc.) Business Transformation Challenges: Adopting an 'AI-first' digital strategy - reimagining workflows, organizational structures and workforce talent Hands-on Workshop: Prioritizing AI Use Cases 2. Governance of AI: Trust, Ethics and Accountability This module addresses the 'How to Govern' AI, focusing on the unique legal, ethical, data and accountability requirements. Building an Ethical AI & Responsibility Framework Bias Mitigation: Techniques for identifying and addressing algorithmic bias in high-stakes processes and decisions Privacy Policies & Responsible Data: - Data Access vs. Privacy - Strategies for enabling data sharing across departmental silos to train better models while maintaining strict data residency and privacy standards - Privacy-preserving AI: Concepts like federated learning and differential privacy for sensitive data Data Quality - Ensuring high-quality data for trusted AI and Analytics Accountability and Explainability (XAI) - Establishing clear lines of accountability for algorithmic outputs and methods for explaining AI decisions to clients, citizens and oversight bodies Procurement & Vendor Oversight - Governing the Black Box: Strategies for mandating transparency, audibility and ethical compliance in AI applications and vendor-sourced solutions Hands-on Workshop: Governance consideration for AI Use Cases 3. Data Ready, AI Ready: Data Management - The Critical Foundation for Successful AI Implementation This is the 'What to Architect' module, grounding AI ambitions in practical data management, architectures, and deployment best practices. Data Readiness & Data Architecture Data Maturity Assessment: Benchmarking the organization's data quality, cleanliness, metadata and governance management Semantic Layers + Ontologies for AI: Operationalizing business meaning Context engineering - feedback loops as metadata content Data Architecture for AI: Understanding modern data stacks The legacy gap: Mapping the path from fragmented legacy systems to a unified, AI-ready data environment Case Study: An organization builds a data management foundation for AI Hands on Workshop: Building the data foundation for AI use cases. 4. Key Elements of the AI Roadmap Change Management for AI: - Data as an Enterprise Asset: Shifting the perception of data from a by-product of services to a strategic asset - Leading a cultural shift toward data-driven decision-making and acceptance of algorithmic assistance - Addressing talent gaps: Strategies for developing dataIT/IM capabilities for AI design and deployment Building and sustaining an AI culture within the enterprise: - Business-side AI literacy, adoption and maturity The essential role of the Chief Data Officer (CDO) and their teams: Defining the CDO's mandate in setting policy, ensuring governance and driving the strategic value of data for AI Scaling from Pilot to Production: Overcoming the 'pilot purgatory' and standardizing platforms for enterprise-wide deployment Data lifecycle checklist for AI: From collection to model training and performance monitoring The critical role of humans-in-the-loop - evolving persons for AI applications Managing the AI Portfolio and ensuring strategic alignment, prioritization, resource allocation, guard rails, risk management and value optimization Aligning digital transformation (front end) and enterprise transformation (back end) for AI Developing a scalable roadmap that delivers quick wins while also developing long-term, sustainable capabilities Hands-onWorkshop: Developing a sustainable roadmap for AI

Who will benefit: Join your peers C-level leaders (CIOs, CTO's Chief Digital Officers,Chief AI Officers, Chief Data Officers, Chief Risk and Privacy Officers) and their teams Directors of IT/IM, Business Transformation & Innovation, Business Intelligence & Analytics, Cybersecurity and Governance Digital Strategy, AI and Innovation leaders Enterprise, Data and Business Architects Data Scientists Data Strategists IT/IM, Program/Business and Product Managers and their teams

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Fees
$1995 per person (minimum of 10 people). Applicable taxes extra.

Intervista relates emerging AI methodologies and architectures and delivers these approaches and best practices in customizable programs tailored to your organization's key issues, skill gaps and pain points.

Contact us about how to schedule this program for teams of 10 or more.

Each participant will receive a certificate of completion.

Trusted by over 9000 C-suite executives. We have been providing independent advisory on the top emerging technology and architectural issues for over 20 years.

Join your peers > our client list

Donna Burbank is a member of the Intervista faculty and a recognized industry expert with over 25 years of experience in data management, enterprise architecture and more recently AI Strategy for the Enterprise.

She is the Managing Director of Global Data Strategy Ltd, an international data management consulting company, and has worked withFortune 500 companies worldwide in the Americas, Europe, Asia, and Africa. She speaks regularly at industry conferences on adapting Data Readiness for AI and Building your AI Strategy and Roadmap. Learn more about our faculty.

"The presentation was excellent and the instructor was fantastic. I got great value out of the material and was able to apply the knowledge gained to my current BI practices and dealings with Enterprise Architects. Thank you for bringing a sense of passion to material presented.."
Katherine Jenkins
Senior Program Officer
Border Services Agency

"I really am excited about taking the methodology back to the office and more excited to apply it. Excellent material and application, Instructor was extremely knowledgeable and experienced."
Stefanie Carpentier
Assistant Director, IT Services
California Lottery

"Class was very well presented. Good content and a lot of knowledge that can be applied to my role."
René Royer
Project Engineer
FedEx

"Directly applicable to my work. I can apply what I learned immediately to improve results."
Adele McDonald
Former Enterprise & Data Architect
City of Edmonton

"Absolutely excellent, current and immediately applicable."
James Meck
Chief Architect
BAE Systems

"Excellent course! Kent Bimson knows about the subject and his passion is contagious!"
Herve Ethier
Former Chief Information Officer
Human Rights Commission

"Thank-you John. Very informative and entertaining."
Joel Racicot
Senior Advisor, Architecture Centre of Excellence
Shared Services, Government of Canada

"Wonderful contextual explanation of semantics."
Ginny Nisbet
Enterprise Manager, Knowledge Management and Data Access
Saskatchewan Ministry of Environment

"Exactly the info I was after. How often does that happen?"
Mike Proudlock
Project Manager
Regin of Peel

"This was great! I am walking away with a million ideas!"
Connie Washburn,
Associate Professor, Business Information Systems
Georgia Perimter College

"An intellectually stimulating course offering that is addressing key concepts of tomorrow's enterprise architectures."
Robert Weisman, PhD, PEng, PMP, CD
CEO, Chief Architect, Build the Vision
Former Chief Information Architect, National Defence and Executive consultant/ EA Practice Lead, CGI

"Informative and engaging."
Derek Rutherford
Former Director, Application Architecture & Standards
Province of British Columbia

"Very though overview. Mr Chikofsky masters very well the subject matter and was able to provide pertinent examples contextualized to the Public Service reality."
Eric Lavergne
Director, Portfolio Management
Environment Canada

"Best, most useful training in a classroom!"
Regius Brown
Senior Advisor/ Manager Health
Canada