Handling Business Risk Through Data Governance and Data Practices

What is Below the Waterline is Important

Practices for data governance data management and data are part of technology risk operational risk strategic risk and transformation risk and are all part of better business outcomes, required for the implementation of artificial intelligence as well as for business transformation technology transformation and change management This article is aimed at those in leadership or having the need for managing or for assurance of operations and services.

Managing Below the Waterline

These items around risk-based approach to data may be of value to you:

• Technology & Opportunity Reflections – Data for Assured AI Services - Data for Assured AI Services -The successful application of AI requires the management of data across the value stack and data logistics chain. Beyond this been an economic opportunity and providing openings for business, the integrated solution for data has sovereign, economic, strategic and operational impacts to a country, a government, a business or an organisation The need for a data practice alongside other pre-requisites like project management and change management is part of the transformation around AI. (https://youtu.be/0zTOsfSfSc0).
• Technology & Opportunity Reflections – Risk Based Data Practice for Artificial Intelligence: Risk Based Data Practice for Artificial Intelligence – To support the data needs for AI as well as for better business returns, data practices are needed across a business and embedded into a business. This is for assurance of services delivery as well as for risk management of current and emerging operations. The data practice applies across the integrated data types encompassing data handling, roles and responsibilities, provisions for data services, the oversight and safeguards, the products and services, as well as the governing entities. Local business embedding, common support and shared services, overall data portfolio management, and aspects like cost recovery are also part of the establishment, enhancement, and scaling of data practices. (https://youtu.be/nytaG59uCTg).
• Technology & Opportunity Reflections – Technology Integration for Emergent AI Outcomes - ?Technology Integration for Emergent AI Outcomes - Assuring the performance of data, algorithms, integration of different AI types, and overall outcomes from AI requires benchmark testing. From the role of benchmark testing in audit or in legal cases, through to the business opportunities around benchmark testing are considered further in this session. (Link: https://youtu.be/zqzrqJX7ZiI).
• Getting the Best from People in Projects & Programs – Data & Migration - Data & Migration – Data and migration is often underestimated in complexity and time it will require to address. From custom scripts required with their own testing needs to migration considerations, to the data types and metadata, to some pragmatics of migration, and the process and validation involved, please appreciate the nuances and complexities in data migration because it can help you bring success to your business transformation. (https://youtu.be/mTpWR_awDPw).
• Implementing Artificial Intelligence – Technology & Data - Technology & Data – Different areas of business as well as different businesses of size, type, sectors, markets, and location have varying closed and open loop data demands, are seeing a staged implementation of AI. This includes the management of applications, cloud services, security, and the related support services and operations. Data and its management are also needed for the functioning and operation of artificial intelligence, including the data types, data migrations, data sharing, and data operations. Business opportunities lie in the routine servicing, the shared services, the support services, as well as in the technology and data management. (https://youtu.be/4vtU65ES4uQ).

While there is much more, please ease in and feel comfortable. When ready, look forward to providing more details and how can we help?

Associated Links:

• Business Transformation – An Information Gateway (https://www.dhirubhai.net/feed/update/urn:li:activity:7188818948224626688/).
• Implementing Artificial Intelligence – The Proven, Pragmatic, Practicalities, on a Risk-Based Approach with Assured Outcomes (https://www.dhirubhai.net/feed/update/urn:li:activity:7104060042928160768/).
• Enabling Business Transformation - Addressing pragmatics practicalities of enabling business transformation around technology (https://www.youtube.com/playlist?list=PL_oMn8eF6JVjRdkbVYbU74cjxfz0AmXZc).
• Artificial Intelligence – The Economic Transformation to Manage (https://www.youtube.com/watch?v=GTj4hudLRfo).
• AI - The Economic Transition to Manage (https://www.dhirubhai.net/posts/keithsherringham_ai-the-economic-transformation-to-manage-activity-7144533488254263296-foqc?utm_source=share&utm_medium=member_desktop).
• Artificial Intelligence – The Economic Transformation to Manage (https://www.dhirubhai.net/posts/keithsherringham_slides-for-ai-implemenrtation-talk-activity-7144535534705467392-yeHh?utm_source=share&utm_medium=member_desktop).
• Implementing Artificial Intelligence - Emerging Openings and Business Opportunities (https://www.dhirubhai.net/feed/update/urn:li:activity:7160019043574308864/).