Business Outcomes and Revenue Opportunities While Realising Artificial Intelligence

Better Business While Preparing for AI

In business we experience operational issues in data, security, testing, and with ICT operations and services having impacts on our customers, loss of revenue, and reputational damage. The shortage in skills seen now in certain areas, and the future predictions, are a repetitive theme we work to address. Faced with a competitive environment and of rapid changes, lifting business practices now can deliver benefits, are revenue opportunities and are required for artificial intelligence. So come and explore business openings, revenue opportunities, revised products and services, and cost savings.

Acting Now Even for Vested Interest

Whether you want to challenge the status quo or are invested in keeping your position, here are some things you can do to benefit in the short, medium, or longer term:

1. Things to do now which can lower costs and drive revenues: The Proven within Environment of 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 - because if you don’t others will and gain over you.
2. Getting the resources you need even in a cost cutting environment: Bridging for AI Resources, Skills, Experience, Expertise - There is a requirement to position now for both the longer and medium-term needs to support the skills, experience, and expertise for AI across the sectors, as well as for run the business and change the business. Gaps are already occurring across the research, design, development, testing, operations and services, management, consumption, and assurance for AI. Bridging the shorter-term gap is more challenging and this will require a prioritised and unified approach across government with proactive support from business, and education. The need for business to drive for vested interest is significant - https://youtu.be/ypqTvr6m7kE – to have what you need now and for the future.
3. Realising products and services for revenue and growth: Opportunities – An overview of selected opportunities around artificial intelligence are 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 – so that you and your business benefit.
4. More openings and opportunities for revenues: 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 – for growth before others take your markets.
5. The need for integrated technology exists now for lower costs while setting you up for AI: 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. - https://youtu.be/zqzrqJX7ZiI – gain benefits now while setting up for realised AI outcomes rather than falling for the hype.
6. Lifting the service levels from technology for customers and assuring delivery: ICT Operations and Services for Artificial Intelligence - Beyond bringing the need for data practices, data governance and data management, the implementation of artificial intelligence is bringing changes in ICT operations and services. The move is to the assured prioritised provision, and continuity of data. From assurance, risk management, audit, readiness for business transformation, technology transformation and change management - https://www.dhirubhai.net/pulse/ict-operations-services-artificial-intelligence-keith-sherringham-xdv1c - which you can do at low cost without upsetting stakeholders for significant returns
7. Testing to protect the brand, retain customers, and safe guarding business: Valuing Testing within Artificial Intelligence - From network outages to data breaches, we see the role of testing oversights and process shortcomings in cyber security, privacy with impacts on risk management, technology risk, transformation risk and operational risk amongst others. The prioritisation of development over requirements and testing with testing often being descoped to meet budget and deadlines is commonplace. The reality is that lawsuits, insurance premiums, regulatory and compliance oversights, customer complaints, and brand damage are set to increase without revising the risk-based outcomes from testing. Greater use of testing and especially benchmark testing will also be needed within AI operations and services. - https://www.dhirubhai.net/pulse/valuing-testing-within-artificial-intelligence-keith-sherringham-wmi9c – making small changes within existing costs and processes for improved outcomes and securing your business.
8. Having or growing the requisites for better business now and for AI: Having Requisites to Run and Change a Business on a Risk-Based Approach - Whether it is for better business outcomes or for artificial intelligence, having some pre-requisites in place for sustaining the business while changing the business is good practice. This article outlines some core capacities and capabilities which are needed for business and technology transformation and which can be crafted and shaped for adoption and adaption to realise business outcomes and along the journey.- https://www.dhirubhai.net/pulse/having-requisites-run-change-business-risk-based-keith-sherringham-nu5fc – within existing cost-base, processes, and services for revenue growth.
9. Addressing the data you need for business operations as well as for AI: 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 – through incremental sustained activities at low cost while reducing risk.
10. Having the required skills and expertise across the business for handling data and AI: 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 - Lower your costs through good data practices while making life easier for you and your team
11. Manage your risk to protect you and your business: Risk-based Approach within Artificial Intelligence - Practices for technology risk, operational risk, strategic risk, transformation risk are all part of better business outcomes, required for the implementation of ?artificial intelligence as well as for business transformation, technology transformation, change management -https://www.dhirubhai.net/pulse/risk-based-approach-within-artificial-intelligence-keith-sherringham-kk6kc – with proven practices at low cost within business operations.

Fear and greed? Moving towards or away from? Want to keep your job and not rock the boat? In a risk adverse environment? Either way, the actions outlined can be applied. While there is much more, please ease in, feel comfortable, and start. May we help you with the first step(s).

Associated Links:

• Business Transformation – An Information Gateway (https://www.dhirubhai.net/feed/update/urn:li:activity:7188818948224626688/)
• Hiring in a Changing World (https://www.dhirubhai.net/pulse/hiring-changing-world-keith-sherringham-0fvwc)
• 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/)
• 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 Transition to Manage (https://www.dhirubhai.net/posts/keithsherringham_slides-for-ai-implemenrtation-talk-activity-7144535534705467392-yeHh?utm_source=share&utm_medium=member_desktop