Małgorzata Marcinkowska

In the field of artificial intelligence, achieving success requires more than simply developing a model and progressing forward. The focus is on developing sustainable, progressive solutions that consistently provide benefits. This requires a transition from a 𝐦𝐢𝐧𝐝𝐬𝐞𝐭 𝐟𝐨𝐜𝐮𝐬𝐞𝐝 𝐨𝐧 𝐩𝐫𝐨𝐣𝐞𝐜𝐭𝐬 𝐭𝐨 𝐚 𝐦𝐢𝐧𝐝𝐬𝐞𝐭 𝐟𝐨𝐜𝐮𝐬𝐞𝐝 𝐨𝐧 𝐩𝐫𝐨𝐝𝐮𝐜𝐭𝐬.   A project mindset is centred on immediate objectives, with predetermined schedules and targets. Upon completion of the job, the team frequently proceeds to the next task. The product mindset emphasises the importance of long-term growth, continuous improvement, and ensuring alignment with organisational goals.   𝐖𝐡𝐲 𝐭𝐫𝐚𝐧𝐬𝐢𝐭𝐢𝐨𝐧𝐢𝐧𝐠 𝐭𝐨 𝐚 𝐩𝐫𝐨𝐝𝐮𝐜𝐭 𝐦𝐢𝐧𝐝𝐬𝐞𝐭 𝐢𝐧 𝐀𝐈 𝐢𝐬 𝐜𝐫𝐮𝐜𝐢𝐚𝐥? 1. Sustainability: AI systems necessitate continuous maintenance, updates, and retraining to sustain their effectiveness. 2. Scalability: AI solutions have the capability to be expanded throughout the entire organisation, with each subsequent version gaining knowledge from prior implementations and enhancing its performance over time. Attaining scalability becomes more challenging when using a project-centric strategy, where each endeavour is kept separate. 3. Adaptability: The dynamic nature of the business world necessitates that AI solutions possess the ability to adjust to novel data, emerging trends, and growing customer needs. The adoption of a product mindset promotes the ability of AI solutions to adapt and stay up-to-date. 4. User-Centric Focus: Organisations can prioritise user experience by regarding AI as a product.   𝐀 𝐩𝐫𝐨𝐝𝐮𝐜𝐭 𝐦𝐢𝐧𝐝𝐬𝐞𝐭 𝐢𝐧 𝐀𝐈 𝐢𝐧𝐯𝐨𝐥𝐯𝐞𝐬 𝐬𝐞𝐯𝐞𝐫𝐚𝐥 𝐬𝐭𝐫𝐚𝐭𝐞𝐠𝐢𝐜 𝐜𝐡𝐚𝐧𝐠𝐞𝐬: 1. Go beyond conventional project metrics such as model accuracy and prioritise long-term business impact, user satisfaction, and adaptability. 2. Incorporate agile methodologies and DevOps practices specifically designed for AI, enabling seamless integration, delivery, and iterative processes. 3. Create the essential framework for continuous learning, which involves implementing automated data pipelines, model monitoring, and feedback loops. 4. As AI products evolve, ensure that ethical considerations, such as fairness, transparency, and accountability are integrated into the product lifecycle.   The transition from a project-oriented mindset to a product-oriented mindset in AI is not simply a change in strategy, but rather a complete transformation in the way organisations approach the development and implementation of AI. Companies can assure the sustainability and long-term effect of their AI projects by prioritising long-term value, continual enhancement, and integration with business goals. #ArtificialIntelligence #ProductMindset #MachineLearning #ContinuousImprovement #Innovation

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Thoughts on this? >> OpenAI wanted Scarlett Johansson to voice ChatGPT, disabled ‘Sky’ voice because it sounds too similar [U] >> Comment below! >>> lqventures.com #digitalhealth #socialmedia #digitalmarketing #healthtech #IoT #industry40 #mhealth #AI

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Is the trend of AI CEOs on the rise? Can AI step into the shoes of a CEO? AI's rapid adoption across industries through several dimensions within various domains, functions, roles have been much talked about to the extent of experimenting on possibility of having an AI CEO as well. The world witnessed a groundbreaking moment when NetDragon Websoft appointed an AI program named Tang Yu as it's CEO. This AI-powered virtual humanoid robot was entrusted with supporting decision-making for the company's daily operations aiming to 'leapfrog operational efficiency to a new level'. Similarly, a Polish drinks company garnered attention by appointing Mika, the world's first AI human-like robot CEO designed to lead critical projects & drive company growth. Even if AI could fully replicate a CEO's job, it faces ethical, regulatory, societal & trust challenges hindering it's mainstream adoption. Clear laws & regulations governing AI in leadership roles are lacking, creating ambiguity over legal responsibility in AI-driven decision-making. Integrating AI into CEO roles enhances C-suite capabilities, redefining leadership in this digital age. While the human touch remains irreplaceable, the fusion of AI & leadership expertise can usher in a new era of corporate governance where AI acts as a strategic partner in the C-suite. Check out this interesting Forbes article by Sherzod Odilov. #AI #ArtificialIntelligence #Digital #Tech #Leadership #Innovation

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Thoughts on this? >> AI, Vol. 5, Pages 2538-2567: Exploring Facilitators and Barriers to Managers’ Adoption of AI-Based Systems in Decision Making: A Systematic Review >> Comment below! >>> lqventures.com #healthtech #IoT #mhealth #AI #industry40

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Thoughts on this? >> Charting the Global Economy: European Growth Exceeds Projections (Map to be corrected) >> Comment below! >>> lqventures.com #digitalhealth #socialmedia #digitalmarketing #mhealth #industry40 #healthtech #AI #IoT

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Relatively old article... but still valid! Amy Webb is spot on about the importance of Strategic Foresight! Strategic Foresight is not about quick wins and easy answers. It is a discipline which takes time and effort to get into the shape needed to win the race, as well as to stay on top. Requires preparation, consistency, discipline and commitment. The future is neither predictable nor predetermined, but it might be influenced by the present choices of the organization and other relevant players in its business. #strategicforesight #competitiveadvantage https://lnkd.in/dj8itbD7

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