Implementing Artificial Intelligence

AI is About the Proven Practical Pragmatics

Ease into artificial intelligence (AI) with these introductions, business opportunities and openings, the role of government and education as well as the implementation and management of risk, strategic risk, transformation risk, strategy, regulatory, compliance, assurance and the project management for delivery (https://www.youtube.com/playlist?list=PL_oMn8eF6JViiJ4iLHGEc0WcFqCYL2QAy).

Realising the Proven Practical Pragmatics

May the following be of value:

• Opportunities from Cloud, Data, Artificial Intelligence and Automated Knowledge Worker Services: India has a skilled workforce speaking the language of business. Positioned at the centre of communication links, and embracing a culture of education and research, India is proven in technology delivery and in the economic returns. India is strategically positioned for the opportunities from cloud, data, artificial intelligence, and automated knowledge worker services which are set to bring further societal and economic transformation. Beyond the role in technology, India can lead in value-added areas like embedding AI in software, assurance of AI, blended and derived data product management, benchmark testing, knowledge worker services from the cloud, and industry sector bureau model services. Operating on a risk-based approach to services and using an ecosystem model, India can have technology transformation for national security, an educational priority for advancement, and a corner stone of economic policy. This talk considers aspects impacting the realisation of technology, AI, and automated knowledge worker services from a business perspective. (https://youtu.be/ZnLV-l06HJ0)
• Implementing Artificial Intelligence – Introducing the Pathway and Opportunities: Introducing the Pathway and Opportunities –Whether a business is a 2-person operation or a 35,000 global operation, the need to implement and manage artificial intelligence (AI) is present or emerging. What varies is how and the extent of the response. New roles and businesses are expected. Changes are expected, and while some will lapse, an overall growth is expected based on historical trends. AI use is expected to be analogous to the pilot and the autopilot model, with routine operations being automated, but the creating for the first time, the management of complex interactions, and the working with the nuances of humanity and our interactions, and other value-added services continuing with human management. More people, who are more skilled, in problem solving roles is also anticipated. Further details are presented in this series which this session introduces. (https://youtu.be/LPkHilOsoR0)
• Implementing Artificial Intelligence – Adoption & Adaption: Adoption & Adaption – The implementation of artificial intelligence (AI) and the adoption and adaption to AI will be ongoing. The need is for an emergent behaviour to support, manage, and implement which is sustained through the crafting and shaping of capacities and capabilities. A business needs to sustain operations while changes are made. In making the changes the capacity and capability around leadership, governance, project management and readiness / change management is required. Business opportunities for services and support are noted. (https://youtu.be/Jn_RUppdqhE)
• Implementing Artificial Intelligence – Organisational: Organisational – Whether a business a 2-person operation or a 35,000-employee operation globally, the need to address aspects in support of the implementation of artificial intelligence apply. What differs is the extent of the changes and the impacts of the changes with size, type, sector, market, and location of a business amongst other factors. Some considerations are discussed further. (? (https://youtu.be/Ije-wU0pMyI)
• Implementing Artificial Intelligence – Governments: Governments – Governments are faced with transforming their own operations, managing the services provided to societies, supporting communities, as well as the regulatory and enforcement aspects. Society will adopt and adapt to the changes and is set to progress as seen previously. The balance of market forces with governments, the need for regulation without stifling, the costs, the demands of customers, vested interests and incumbency are all at play. We know that “Technology Transformation is a National Security Issue, an Educational Priority, and a Corner Stone of Economic Policy”. A lot is being asked of government and it is a matter of we manage the transition and our responsibilities with government which decides the role of AI within our societies. (https://youtu.be/lUIBbZgzZp0)
• Implementing Artificial Intelligence – Educational: Educational – The need for a skilled workforce to support, manage, and make the transition around AI is recognised. Government policy from having teachers and instructors to industry accreditation and certification is part of the overall approach across schools, trades, industry, and universities. An emergent outcomes focused solution using a risk-based approach is part of the transition from the provision, management, and assurance of technology to the provision, management, and assurance of information to support the automated operations. (https://youtu.be/xgOn5pQgNB8)
• Implementing Artificial Intelligence – Industries: Industries – Selected industry examples of the response to artificial intelligence (AI) within differing industry sectors are overviewed as a guide for use and application. From knowledge workers across industry sectors, through agriculture, mining, and financial services operations, AI is applied in various ways with much of the routine operations being well suited to AI and automation. Emerging areas include decision making, personality assistant, leadership development, and performance management amongst others. The use of a bureau model for sector specific needs as a way to increase the skilling and training for AI is also noted. (https://youtu.be/MBFZ8vdn0EY)
• Implementing Artificial Intelligence – Technology and 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)
• Implementing Artificial Intelligence – Risk Management: Risk Management - Some risks around the implementation of artificial intelligence (AI) beyond the more standard business risks are considered in this part of the series, including the response to the varying components of AI, the business nature, the environment in which a business operates, the use of AI within operations, the data management required, and the types of AI used within business. The role of blended products and the scale of automation in risk management may vary with the use of AI. The need for benchmark testing of AI is also emerging. (https://youtu.be/7jFlmh2DppI)
• Implementing Artificial Intelligence – Opportunities: Opportunities – An overview of selected opportunities around artificial intelligence is outlined as an attempt to paint a picture of expected activities for realising returns. The rule of thumb is analogous to the gold fields rushes. Rather than dig, sell the shovels. There are opportunities in creating AI software and using AI software will become ubiquitous, but the biggest number of opportunities and greatest returns, based on history, are set to be the ecosystem of services around AI. By its nature and that the future is still to be determined, other areas are likely to emerge and some of the suggested may lapse. We hope you can realise them and have fun doing good. (https://youtu.be/UCA6HFFQtNk)
• Implementing Artificial Intelligence - Emerging Openings and Business Opportunities Around the Gaps within AI: Emerging Openings and Business Opportunities - Time to get the crystal ball out. Note the date, the opportunities and openings identified and see what comes true. What companies are created, which ones are changed, and which countries can lead the economic transformation from addressing emerging gaps within Artificial Intelligence (AI). (https://youtu.be/3njeTgRuw0Q)
• Implementing Artificial Intelligence – AI within Service Centres: AI within Service Centres – Knowledge worker automation impacts from AI are to be seen within service centres. From revising their own operations to servicing new and amended customer operations, AI is set to impact across the channels of service. While AI implementation is likely to be staged and applied on a risk-based approach, realising the returns from AI will require gaps in current processes to be addressed. AI is likely to see more roles, but with role changes requiring a hire skill set. These and other aspects around AI within service centres is explored. (https://youtu.be/FNjApXSeNSI)
• Cloud-Based Project Services with Artificial Intelligence in Business Transformation: The pace, extent, complexity, impacts, and risk from business transformation are increasing. With business transformation often delivered via projects (alongside the need to sustain operations), there is an increasing premium on Project, Program, and Portfolio management. A corresponding need for Project Management Offices (PMOs) and emerging Transformation Management Offices (TMOs) operations is also occurring, together with a demand for cloud-based project services like Project Management as a Service (PMaaS) or Project Management Office as a Service (PMOaaS). Beyond systems integration and data assurance, cloud-based project services have a dependency upon stakeholder collaboration, related service management, and business adoption and adaption. Artificial Intelligence (AI) is being increasingly folded into cloud-based project services (like e-discovery, dependency management, document management, contract reviews, resourcing, text library services, analytics, and reporting). AI integration into controls (budget, scope, resources, schedule), is also occurring. Emerging aspects of AI and cloud-based project services are considered in this session, with some related business opportunities. (https://youtu.be/7xFC1HFRYHs)
• Implementing Artificial Intelligence – Some Pointers: Some Pointers – To help with getting through all the information around artificial intelligence, we try to provide pointers and some considerations to help. These are more business and implementation focused rather than technical. May they be of value you. (https://youtu.be/ApkLWV1Oj6g)
• Implementing Artificial Intelligence – The Proven within Environment of Uncertainty (What We Can Do Now): The Proven within Uncertainty (What We Can Do Now) – We know how to realise the openings and opportunities around AI. We know how to overcome any feelings we have of being overwhelmed, unsure, or insecure, even though we are often missing details and answers as to how aspects will unfold. We know the many low-cost, low-risk, proven, pragmatic, practical actions which we can take to both facilitate our AI transformation as well as delivering business returns. We know we also have the capacities and capabilities to craft and shape our adoption and adaptation. So, what is stopping us? (https://youtu.be/sqwWG2Wl_go)
• Opportunities & Openings Around Technology – Trends, Economy, Society, & Careers: Being relevant globally. Aspects of the societal, business, economic, and personal development from changes around technology (ICT) with an overseas and business perspective within the Indian context are presented. Taking a pragmatic and practical view of what is seen to be merging in society and using previous experience, some aspects like emerging business opportunities, the openings for educational institutions, the supporting government and their services, as well as likely career prospects are considered. Considerations of artificial intelligence (AI) and the automation of knowledge worker services are included, together with emerging economic opportunities within India. Be sure to bring your questions and remember the overseas business perspective applied. (https://www.dhirubhai.net/feed/update/urn:li:ugcPost:7162552080417705984/)

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:linkedInArticle:7005730325829996546/)
• Technology & Opportunity Reflections (https://www.youtube.com/playlist?list=PL_oMn8eF6JVgzoko9XzLtrff_lCxh3axt).
• Getting the Best from People in Projects & Programs (https://www.youtube.com/playlist?list=PL_oMn8eF6JVhFTwaAdGHRPLv92wg6gFcf)
• Implementing Artificial Intelligence - Emerging Openings and Business Opportunities (https://www.dhirubhai.net/feed/update/urn:li:activity:7160019043574308864/).