Name: AI Ethics and the Multiverse of Madness
Start: 2024-12-13T12:30:00Z
End: 2024-12-13T12:30:45.000Z
Location: BrightTALK
Rating: 0

Welcome to the DAMA channel, the Data Management Association providing professional certification (https://www.dama.org/content/certification) & Data Management Body of Knowledge (https://www.dama.org/content/body-knowledge) to members around the world. Our presenters cover topics across the spectrum of Big Data, keeping current on the growing industry. Make sure you check out some of the benefits of membership (https://www.dama.org/content/about-us).

This session focuses on the impact and opportunity of generative AI in the world of data management.

 

Themes that I will be focusing on:
 - Knowledge enabled AI through the foundation of knowledge graphs
-  How metadata management can fuel compliance, discovery and the usage of data through natural language inputs
-  Practical examples of how generative AI can be used achieve the above

Key takeaways:
- how to get started and get teams and execs engaged with understanding and adopting generative AI
- how AI is changing data management
- the role of knowledge graphs in applying enterprise context

The intersection of connected knowledge and AI

In today's regulatory landscape, data risk is critical as regulatory expectations intensify and penalties increase. Records management, a key component of data risk, involves systematically controlling an organisation's records from creation to disposal, ensuring efficient organisation, storage, retrieval, and preservation process.

Without robust data retention policies and governance, organisations face increased audit and litigation risks, higher IT costs, and challenges in meeting evolving standards. Mitigating these risks requires a systematic approach to data retention, adhering to industry best practices.

The proposed presentation will cover:

Industry Insights: Observations and impacts EY has noticed within the industry regarding data risk and records management

Regulatory Perspective: An overview of regulatory expectations and requirements for records management

Governance Requirements: Key elements of governance necessary for effective records management

Organisational Impact: Consequences of ineffective records management on an organization

Drafting Records Management Policies: Guidelines for creating comprehensive and effective records management policies

Banking Sector Focus: How records management should be implemented across the three lines of defence within a banking institution

This comprehensive approach highlights the pressing need for improved records management practices to address increasing data risks. As well as providing the industry best practices which EY has observed.

Reduce Data Risk through Effective Records Management

In today's digital world, data has become the lifeblood of businesses, governments, and societies at large. However, the increasing reliance on data brings with it a myriad of ethical considerations and security challenges. From concerns about privacy and consent to the risks of data breaches and cyber-attacks, organizations must navigate a complex landscape to
ensure the responsible use and protection of data. This webinar aims to shed light on the intersection of data ethics and data security, providing insights and strategies for individuals and organizations to uphold ethical principles while safeguarding sensitive information.
Objectives:

    Explore the fundamental concepts of data ethics and their relevance in contemporary society.
    Examine the ethical dilemmas surrounding data collection, usage, and sharing.
    Understand the importance of data security in maintaining trust and integrity.
    Identify common threats to data security and their potential impact on individuals and organizations.
    Discuss best practices and frameworks for integrating ethical considerations into data management processes.
    Provide practical tips for enhancing data security measures and mitigating risks.
    Foster discussions and knowledge sharing among participants to promote a culture of responsible data stewardship.

Exploring the Intersection of Data Ethics and Data Security

Join us for an exclusive webinar featuring Raj Jethwa, a renowned business growth and transformation consultant and subject matter expert in Data, Analytics, and AI.



With over 30 years of invaluable experience in the software industry, Raj has navigated pivotal roles in software development, technical pre-sales, and revenue generation across globally renowned software companies.



Today, Raj leverages his extensive expertise to offer top-tier consulting services tailored to the needs of senior business leaders. Through his profound understanding of business use cases and adeptness in modern technology landscapes, Raj serves as a trusted advisor, helping businesses harness the power of their data responsibly and effectively.



Join us as Raj shares his insights and knowledge, guiding organisations towards sustainable growth and innovation in today's data-driven world. Don't miss this opportunity to discover how data, analytics, and AI can drive business transformation under Raj's expert guidance

Unlocking Business Potential: Moving from Digital to Business Transformation

Having high quality data we can trust has never been so important. Trustworthy data is the bedrock of all data management disciplines. Therefore data quality is never boring as a solid data quality foundation is essential to successfully deliver business, data and AI strategies.

DAMA UK Committee members Nigel Turner and Sarah Higham will be sharing their knowledge and experience to outline why “Data Quality is NOT Boring” and provide suggestions on how to proactively fix data issues, and prevent them from recurring in the future.

Agenda

    Data quality horror stories
    Why is data quality NOT boring?
    DAMA UK survey evidence on data quality
    So how can you fix data quality and ensure you don’t need to fix it again?
    Conclusions & key messages
    Q&A

Why is Data Quality NOT Boring?

Connecting Business & Data Strategies: Enabling Business Success by Making Better Decisions - Liz Henderson

Unlock the essentials of building a powerful data strategy with us. This session showcases real success stories, practical implementation tips, and deep dives into the critical components of achieving data-driven excellence. If you're eager to fuel business growth, make informed decisions backed by data, and gain a competitive advantage, this session is a must-attend. Don't miss this opportunity to acquire the knowledge, tools, and inspiration necessary to excel in data strategy and propel your organisation toward data-driven triumph!



· Real-world Insights: Gain invaluable insights from real success stories shared during the session, providing tangible examples of effective data strategy implementation in action.

· Practical Implementation Tips: Learn actionable tips and strategies for implementing a successful data strategy within your organisation, equipping you with the tools to drive business growth and make informed decisions.

· Competitive Edge: Discover how mastering the art of data strategy can give your organisation a competitive edge, enabling you to stay ahead of the curve and propel towards data-driven success in today's dynamic business landscape.

Connecting Business & Data Strategies

This webinar will unlock your organisation’s potential to create a data-driven culture that empowers everyone to make informed decisions, drive innovation, and achieve aligned business outcomes. Whether you are just beginning your data literacy journey or looking to enhance your existing efforts, this webinar will provide you with the tools and strategies needed to succeed.

1. Building the Business Case for Data Literacy
• Understand the critical role data literacy plays in driving business success
• Learn how to articulate the benefits of data literacy to stakeholders
• Discover methods to quantify the value of a data-literate workforce

2. Selecting the Right Learning Group to Deliver the Business Case
• Identify the key stakeholders, decision-makers and pilot learner cohort within your organisation
• Strategies to engage and win over executives and managers
• Tailor your message to different segments to maximise buy-in

3. Measuring the Day-to-Day Programme
• Establish metrics to track engagement and adoption
• Implement tools and techniques to monitor the effectiveness of training programmes
• Real-life examples of how continuous measurement drives improvement

4. Strategically Measuring Versus the Business Case
• Align your data literacy initiatives with strategic business goals
• Techniques for evaluating long-term impact and return on investment
• Case studies showcasing successful integration of data literacy into business strategy

5. You will walk away with:
• Actionable insights on how to advocate for data literacy within your organisation
• Knowhow of how to identify and engage the right stakeholders to ensure successful adoption
• A framework for continuous measurement and improvement of data literacy programmes
• Clarity about how to align data literacy efforts with overarching business objectives for maximum impact

Building and Measuring the Business Case for Data Literacy - Greg Freeman

Mark and Terry’s book of the same title presents a proven and award-winning framework of tools and techniques based on their combined 60+ years of experience. It provides a strategy for managing organizational knowledge without costly technology, reducing the risk of:
• regulatory non-compliance,
• ineffective infotech (information technology) spend,
• loss of organizational knowledge due to staff attrition, and
• unreliable information.

This presentation will provide an overview of the book’s 4-point KSIR strategy, with a focus on building a foundation for improving organisational knowledge by enabling more effective definition of information and data. The presentation will include:

• a framework for governing business metadata.
• crafting structured definitions for quality business glossary,
• and how this approach
 enables agile data modelling, and
 improved business engagement for data and information governance.

The presentation will include links to relevant resources and a 50% discount for a PDF version of the book from Technics Publications

Data Gov. Needs Risk Management – Moving from Data-driven to Business-driven

This session offers an insightful exploration of the ontological foundations of data governance. The speaker will provide an overview of the nature of 'things' and their properties, the alignment of the lawful states of an information system or product to the lawful states of the physical world, and the importance and increased relevance of these concepts in Data Governance, in this new era of cloud data platforms and advanced analytics. Attendees will walk away with a further understanding of ontology and semantics in data governance, as well as actionable strategies for their application in metadata management, master and reference data management, and data quality management.

Hailing from Hartford, CT, Anthony “Tony” Mazzarella leads Enterprise Data Enablement, Quality, and Governance at U.S.-based financial services firm Voya Financial, where he is driving organizational change and delivering capabilities that empower the workforce to make better decisions about data, focusing on quality and business value. Tony is an industry thought leader and academic with nearly 20 years of experience as a technologist and data management practitioner. He serves as Past-President of DAMA New England chapter and is a former leader on the DAMA International Board of Directors.

Grounding Data Governance in Ontological Foundations

The webinar looks at the emergence of data marketplace and their value in business. It looks at what a data marketplace is, why your company might need one, and how you can use it to govern the publishing and sharing of ready-made, high-quality, compliant data and analytical products for others to consume and use and how it can help shorten time to value.

Webinar Overview:
The webinar will cover:
• Becoming data driven – executive expectations
•             What’s required to become data driven?
o The need for a high-quality data foundation to support timely decisions
o Data producers and data consumers 
o The need for reusable data and analytical products 
o Building data products to incrementally build a data foundation 
o The need for a data marketplace to publish and govern data sharing
• What is a data marketplace?
• Challenges in establishing a data marketplace
• What processes are needed to operate a data marketplace? 
• Governing the sharing of data using a data marketplace and data contracts 
• Beyond just data – publishing analytical products in a marketplace
• Progressively shortening time to value using a marketplace

Data Marketplaces and How They Help Shorten Time to Value

Enabling FAIR Data (Findable, Accessible, Interoperable, Re-usable) is critical for AstraZeneca to unlock value from our existing data and to ease the handling of future data. We address 'Findability' through effective indexing and cataloguing, 'Accessibility' via a blend of automated and manual processes and enhance 'Reusability' by integrating processes into approved analytical environments. Yet the most significant challenge is 'Interoperability', which requires us to determine if datasets of the same type can be merged and how to link different types to answer complex questions. This talk will show how AstraZeneca's Research & Development tackle these challenges to optimise data re-use.

FAIR Data Centric Information Architecture - New Date!

The Role & effective practices of Data Management in the Data Engineering Lifecycle 
Key areas under discussion in this “oh so” important topic:

What is data engineering?

    Definition and evolution of the data engineering
    Where does it sit inside the organisation

What is data engineering lifecycle?

    Generation of data
    Extraction / ingestion of data
    Transformation
    Consumption

Importance and role of Data Management in Data Engineering Lifecycle: How DAMA DMBOK’s Data Management principles tie together with data engineering, such as but not limited to:

    Data Governance
    Data Quality
    Data Modelling
    Master Data Management
    Metadata Management
    Lineage

Hrayr is the CDO at FSP. FSP are a multiaward-winning digital transformation consultancy, with an enviable reputation for industry leading client experience and long term, trusted relationships.
Hrayr is a hands-on data practitioner with a wealth of experience in data strategy, data architecture and data engineering. Hrayr’s pragmatic approach allows him to challenge technical details, whilst also understanding the broad business context and the value data can bring to organisations

The Role & effective practices of DM in the Data Engineering Lifecycle

Data governance is hard, and it’s all because of human beings tend to be emotional and sometimes irrational. But it shouldn’t be an excuse, it should be an opportunity to leverage the sensitivity of human beings to drive data governance through cross-functional collaboration. Tiankai experienced some things about the human aspect of Data Governance and distilled it down to a few learnings that can work as guiding principles for a human-centric approach to effective data governance.

Data governance, but in a human way

FAIR Data Centric Information Architecture

Data Literacy 101 Brief
During our 'Data Literacy 101' webinar we'll teach attendees how to: build the foundations of a high quality data literacy programme, whether internally or supported by external partners; engage the wider business in your data literacy journey; and build a business case to unlock Executive support and budget.
• 'Data Literacy' Defined - A View from 100+ Programmes

Greg Freeman 
As CEO of Data Literacy Academy, Greg is one of the top global voices in data literacy and culture. With a senior leadership career transcending business and data teams, he's seen the data literacy challenge from both sides of the fence, which gives him a unique perspective and deeper understanding of how to unlock success in these areas.

Data Literacy Academy
Data Literacy Academy partners with enterprise organisations to deliver proven, meaningful culture change and upskilling programmes across the wider employee population. Working with the likes of Bentley Motors, Dunelm and Coventry Building Society, our programmes provide a structured, scalable journey of change management, internal communications and education, which when tailored to your business, drive improved data-driven decision culture, transformation adoption and ROI from data products.

• The Data Literacy Problem
• Understanding Your Audience
• Winning Hearts & Minds
• Building the Business Case
• Q & A

Data Literacy 101

Proving value eludes many data professionals.

Calculating ROI or cost benefit analysis is just the start. Data's real value emerges when we partner with stakeholders to recognise, articulate, and realise its multidimensional benefits.

In this session, public sector data leader Bandhu Das will share insights for developing high-impact data business cases encompassing holistic benefits to win investments and spark engagement for change. Through examples, he’ll share his "Value Matrix" framework that builds on the Treasury's five case model by incorporating change and engagement as essential enablers.

This session welcomes both public and private sector data professionals. The attendees will have the opportunity to share their experiences and challenges when pitching data programmes. The discussion will equip participants with practical frameworks to translate conceptual data solutions into funded initiatives that drive demonstrable value.

Bandhu Das brings 15+ years of diverse experience spanning finance, policy, and data to enable public sector organisations to adopt data and analytics at scale for public good.

As Defra's Head of Data Strategy and Engagement, Bandhu is currently leading the development of an enterprise data strategy and investment roadmap to unlock new levels of value-creation from data. He also oversees their data foundation programme - strengthening Defra's data assets and operating model to enable ethical and sustainable innovations.

Previously at HM Treasury, Bandhu led national-level data analytics projects informing key government reform decisions and publications. He also advised ministers to approve record data investments for modern cross-government data ecosystems and collaborations models.

As a DAMA UK committee member since 2023, Bandhu is dedicated to nurturing a thriving community of data professionals to elevate data as a strategic asset.

Unlocking the Value of Data - Lessons from Public Sector Data Business Cases

In today's rapidly evolving data landscape, traditional approaches to Data Governance no longer suffice. Most new technologies don't make much difference to how you would implement Data Governance in an organisation, however, Data Mesh with its combination of technology and organisational structure has changed that. In this session, Nicola Askham, The Data Governance Coach, will look the concepts of Data Mesh and Data Products and then their intersection with Data Governance, shedding some light on how you need to change your thinking to implement Data Governance successfully in a data mesh environment.

Join this session to get:

    A basic overview of what data mesh is
    An understanding of what data products are
    A case study of implementing Data Governance for Data Mesh

Data Mesh, Data Governance and the concept of data products

AI Ethics has sprung up in discourse like a rabid whackamole. But what does it mean? And how do we align ethics with responsible AI adoption? What do we say to the cool kids who want to play with the shiny toys? What do we say to those lawyers who have just filed suit against us for copyright infringement and/or defamation? Join Daragh for a whistlestop tour through the bullshit bingo of AI Ethics in "AI Ethics and the Multiverse of Madness".

 

Daragh O Brien is founder and managing director of Castlebridge, one of Ireland’s leading consultancies working in data strategy, data governance, and data protection. Since founding Castlebridge in 2009, Daragh and his team have worked with organisations of all sizes across a variety of sectors, including start-ups, SMEs, Non-Profits, Government bodies, EU institutions and other International Organisations. Daragh is a co-author of Ethical Data and Information Management: Concepts, Tools, and Methods, published by Kogan Page, and Data Ethics (2nd Edition), published by Kogan Page in June 2023. He lectures in UCD Sutherland School of Law and the Law Society of Ireland on Data Governance and Data Protection. He is also a member of the Innovation Value Institute in NUI Maynooth, and is a founding member of the Strategic Advisory Board to the School of Business in Maynooth University. He is a Fellow of the Irish Computer Society and a Fellow of Information Privacy from the IAPP.

AI Ethics and the Multiverse of Madness

DAMA UK

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AI Ethics and the Multiverse of Madness

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