Leading the Future of AI: Innovative Strategies for Adoption and Growth

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Explore how Smurfit Consulting is spearheading AI adoption by promoting mindset shifts and strategic collaborations. Recommendations include establishing AI councils, co-innovation plans, and targeted communication efforts to drive industry advancement and mitigate risks.

  • AI strategies
  • Adoption
  • Innovation
  • Collaboration
  • Risk mitigation

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  1. AI Element Element Leading the future of AI SMURFIT CONSULTING >>> FIONA LEAVY JITESH GOYAL AISLING MURPHY MARK NOONAN

  2. To increase the adoption of AI by changing mindsets CHALLENGE

  3. CREATION OF AN AI COUNCIL IN EACH KEY MARKET RECOMMENDATIONS CO-INNOVATION PLAN WITH CLIENTS AND RESEARCH INSTITUTIONS

  4. AGENDA ANALYSIS RECOMMENDATIONS IMPLEMENTATION JITESH AISLING MARK

  5. ANALYSIS STAKEHOLDERS SHIFT IS NEEDED TO CREATE THE RIGHT INFLUENCE HIGH INFLUENCE Government Media Leaders Trade Unions Competitors LOW IMPACT HIGH IMPACT R&D Institutes Consumers Employees LOW INFLUENCE ANALYSIS RECOMMENDATIONS IMPLEMENTATION

  6. ANALYSIS STAKEHOLDERS SHIFT IS NEEDED TO CREATE THE RIGHT INFLUENCE HIGH INFLUENCE Trade Unions Media Government Leaders Competitors LOW IMPACT HIGH IMPACT Consumers R&D Institutes Employees LOW INFLUENCE ANALYSIS RECOMMENDATIONS IMPLEMENTATION

  7. CHALLENGE HOW DO YOU INCREASE ADOPTION OF AI BY CHANGING MINDSETS Promote AI opportunities Showcase positive benefits of AI Advance the AI industry Address risks of AI Recognise the risks Communicate and mitigate the risks Partners for communication Target audience Right partners ANALYSIS RECOMMENDATIONS IMPLEMENTATION

  8. STRATEGIC ALTERNATIVES Promote Opportunities Address the risk Target Audience Natural Partners Decision Communication plan on Human+ AI Government to drive mindset change Direct to consumer communication plan Creation of an AI council in each key market Co-innovation plan with clients and research institutions ANALYSIS RECOMMENDATIONS IMPLEMENTATION

  9. RECOMMENDATION (1) - CREATION OF AN AI COUNCIL IN EACH KEY MARKET Positive Promotion Communicate the good of AI Responsible and ethical AI Key Shared vision & goals Government, research bodies, clients Stakeholders Involved ANALYSIS RECOMMENDATIONS IMPLEMENTATION

  10. RECOMMENDATION (2) - CO-INNOVATION PLAN WITH CLIENTS AND RESEARCH INSTITUTIONS Research Institutions Turing Data Science and Social Good programme Creates advocates, drives innovation Current (LG) and future (in healthcare, for example UPMC) Access to data, creates advocates for AI across the workplace landscape Clients ANALYSIS RECOMMENDATIONS IMPLEMENTATION

  11. IMPLEMENTATION (1) CREATION OF AN AI COUNCIL IN EACH KEY MARKET US, EUROPE & ASIA AI Leading Companies Element AI Government/Regulators - Healthcare Company Leaders LG, Samsung Industry Bodies - Technology Companies Google Research bodies Who ANALYSIS RECOMMENDATIONS IMPLEMENTATION

  12. IMPLEMENTATION (2) CREATION OF AN AI COUNCIL IN EACH KEY MARKET US, EUROPE & ASIA Responsible AI Usage Positive impact Reskilling workforce Value added roles Consumer Adoption Meeting needs Data Security Building trust WHAT Reach out to key leaders with Research bodies - Credibility Arrange quarterly meetings to set remit of council and areas to focus on above Clear action plan for the path forward HOW ANALYSIS RECOMMENDATIONS IMPLEMENTATION

  13. IMPLEMENTATION (2) CO-INNOVATION PLAN WITH CLIENTS AND RESEARCH INSTITUTES Research Institutes e.g. Turing Co-Founder and recent Turing Prize recipient Yoshua Bengio Create Synergies with Turing Clients Current & Future LG - Current UPMC - Future Who ANALYSIS RECOMMENDATIONS IMPLEMENTATION

  14. IMPLEMENTATION (2) CO-INNOVATION PLAN WITH CLIENTS AND RESEARCH INSTITUTES Access to talent and research Reduction of sales cycle Meting the needs of clients and consumers What Research Institutes Funding/partnering with research institutes guiding on latest innovation Clients Enter contracts retain ownership of IP Access to business consumers and data Develop better customised products accepted easier How ANALYSIS RECOMMENDATIONS IMPLEMENTATION

  15. RISKS AND CONTINGENCIES RISK CONTINGENCY Keep Innovating but no adoption Co Innovation & AI Council Lack of communication not changing mindsets Clear remit of council driving benefits Businesses only see AI as a cost saving Co Innovation will support Risk of Element AI facing media backlash by taking leadership role Partnering with research institute for credibility ANALYSIS RECOMMENDATIONS IMPLEMENTATION

  16. CREATION OF AN AI COUNCIL IN EACH KEY MARKET RECOMMENDATIONS CO-INNOVATION PLAN WITH CLIENTS AND RESEARCH INSTITUTIONS

  17. AI Element Element Leading the future of AI SMURFIT CONSULTING >>> FIONA LEAVY JITESH GOYAL AISLING MURPHY MARK NOONAN

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