Enterprise Architecture: Trends, Challenges, and AI Integration, Schemes and Mind Maps of Architecture

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MEGA EA Exchange

Conference 2023

Slides

Keynote

Architecting Change

Luca de Risi

CEO

MEGA International

Marketing SEO improvements Content creation Copywriting Communication Design Translations Video editing Software development Code Development Debugging Documentation Human resources Job interview guides Job descriptions Data analysis Categorization Pattern analysis Auto recommendations Customer service Chatbots Personalized responses Learning Course content Adaptive courses Legal Contract templates Legal research Policies initialization

Generative

AI

The race to artificial intelligence

Disrupting operating models

The race to artificial intelligence

Risks emerging with uncontrolled AI

Source: McKinsey Global Survey on AI - April 2023

Main concerns of generative AI

adoption:

Inaccuracy 56% 53% 46% Cybersecurity Intellectual property infringement

Software redundancies

Data redundancies & incoherences

Data privacy risks

Increasing technology costs

Integration issues

HOPEX Aquila Driving transformation with a 360° view of your organization

We help you plan and adapt to change by:

• Connecting strategy, processes, data,

technology, and risks

• Fostering collaboration with a shared

repository

• Providing a completely revisited UI/UX, to

combine a powerful metamodel with easy

adoption

• Jump-starting your EA initiatives with AI and

automatic discovery

• Automatically adapting to your level of

maturity

Keynote

Market Analysis: Trends in Enterprise Architecture Unveiled

Andy Neill

AVP, Data & Analytics Chief

Enterprise Architect

Info-Tech Research Group

© I N F O - T E C H R E S E A R C H G R O U P

CIO Priorities for Enterprise Architecture

• Mixed reality leads

the “not invested but

plan to invest after

2024” category at

• Quantum computing

leads the “No plans

to invest” category at

• On-premises servers

lead the “Already

invested, but do not

plan further

investment” category

at 33%.

© I N F O - T E C H R E S E A R C H G R O U P

Enterprise Architect - Main Challenges

Decreased

the cost

Reduce

Complexity

Increase

Agility

Reduce Risks

Improve

Customer

Experience

Improve go

to market

time

Manage

Technology

Standards

Build and

manage

Business

Architecture

Manage

Application

Portfolio

Increase

Technology

Innovation

Manage

Business

Capabilities

Manage Data

and Security

Value Proposition

How

Have job descriptions been created for each role in the Architecture space? Have the skills needed for the roles in different architecture domains been identified? Has the head of Architecture been appointed? What is the staffing level of Architecture? 13

25 %^0 %^50 %^25 %

Yes, and reports to the Head of IT Yes, and reports to the CEO/COO No Don’t know

8 %^8 %^42 %^42 %

Skills documented Skills documented and gap analyzed Skills undocumented Don’t know

Skills documented, gap analyzed, and plan made to close the gap

17 %^17 %^50 %^17 %

Capacity to get the job done Capacity required to sustainably cope with Architecture workload Not enough people to do basic activities Don’t know

17 %^33 %^25 %^25 %

Yes Partly No Don’t know

EA Maturity - Organizational Structure

Does you own an Architecture tool to model and create deliverables? 0% 8% 0% 0% 33% 58% Only the head architect The Architecture department Archt. and IT stakeholders Archt., IT, and business stakeholders It's unused or non-existent Don't know 0% 10% 20% 30% 40% 50% 60% Who uses the tool? Is the architecture repository kept up to date (ADRs and other architectural artifacts)? Has an artifact repository been selected, acquired, and implemented? 14

33 %^0 %^17

%

% Yes Yes, and it is constantly used No (^) Don’t know

8 %^0 %^33

%

% Yes Yes, and it is constantly used No (^) Don’t know 8% Yes 25% No 67% Don’t know

EA Maturity - Tools

Organization

Structure, roles, and responsibilities of the AI governance organization

Operating Model

How AI governance operates and works with other organizational structures to deliver value

AI: opportunities, risks, concerns for EA

Organization – Roles and Responsibilities Monitoring Operating Model Risk & Compliance Tools & Technologies Policies/ Procedures/ Standards Model Governance

AI Governance

Fair

Policies/Procedures/

Standards

Policies and procedures to support implementation of AI governance

Risk & Compliance

Alignment with corporate risk management and ensuring compliance with regulations and assessment frameworks

Model Governance

Ensures accountability and traceability for AI/ML models

Monitoring

Monitoring compliance and risk of AI/ML systems/models in production

Tools & Technologies

Tools and technologies to support AI governance framework implementation

Zero Trust Architecture Case Study Government INDUSTRY Zero Trust Architecture Technical Exchange Meeting SOURCE

Results

National Aeronautics and Space

Administration (NASA)

NASA recognized the potential benefits of both adopting a zero trust architecture (including aligning with OMB FISMA and DHS CDM DEFEND) and improving NASA systems, especially those related to user experience with dynamic access, application security with sole access from proxy, and risk-based asset management with trust score. The trust score is continually evaluated from a combination of static factors, such as credential and biometrics, and dynamic factors, such as location and behavior analytics, to determine the level of access. The enhanced access mechanism is projected on use-case flows of users and external partners to analyze the required initiatives. The lessons learned in adapting zero trust were:

• Focus on access to data, assets, applications, and services; and don’t select solutions or vendors too early.
• Provide support for mobile and external partners.
• Complete zero trust infrastructure and services design with holistic risk-based management, including network access control with software-defined networking and an identity management program.
• Develop a zero trust strategy that aligns with mission objectives.

NASA implemented zero trust architecture by

leveraging the agency’s existing components on a

roadmap with phases related to maturity. The initial

development includes privileged access management,

security user behavior analytics, and a proof-of-concept

lab for evaluating the technologies.

The challenges of cyber resilience Conceive compliant by design solutions

Architecture

Business

Get a reliable assessment of cyber risk Avoid liability and penalties Protect the organization

Board

Map IT systems and dependencies Identify IT risks and implement mitigation controls Identify IT service third- party providers

Information

Technology

Identify critical IT assets Assess business impacts of IT incidents

Information

Security

Manage cyber risks Detect and report incidents Manage risks

Risks &

Compliance

Ensure compliance with various regulations Ensure business continuity Report Incidents to authorities Identify critical processes

IT

The need for a connected approach Conceive compliant by design solutions

Architecture

Map IT systems and dependencies Identify IT risks and implement mitigation controls Identify IT service third- party providers

Information

Technology

Identify critical IT assets Get a reliable assessment of cyber risk Avoid liability and penalties Protect the

organization Board

Assess business impacts of IT incidents

Information

Security

Manage cyber risks Detect and report incidents

Manage risks Risks &

Compliance

Ensure compliance with various regulations Ensure business continuity Report Incidents to authorities Identify critical processes