Alfonso Medela is the Chief Artificial Intelligence (AI) Officer at Legit.Health, where he oversees the use of advanced computer vision algorithms. A renowned expert in few-shot learning and medical imaging, his contributions include developing an algorithm capable of diagnosing over 232 skin conditions.
What are the key skills that a Chief AI Officer should possess in the context of your role at Legit.Health?
A Chief AI Officer at a medical organization like Legit.Health needs strong AI expertise, including extensive knowledge of machine and deep learning, and a profound understanding of medical data and healthcare to ensure precise algorithm development. Besides technical skills, strategic thinking and leadership are vital for guiding the AI team and aligning with company goals. Great communication and collaboration skills are also crucial for working effectively with different teams.
Can you describe your experience in developing and implementing AI strategies for computer vision applications, specifically in the context of diagnosing and treating skin pathologies? How have you leveraged AI to improve diagnosis accuracy and enable life-saving therapies?
Heading a team of specialists, we’ve developed advanced algorithms that accurately identify over 232 skin conditions and automate follow-ups for chronic skin conditions. Using deep learning techniques, our platform provides real-time diagnostic support to healthcare professionals, improving their accuracy and enabling early intervention. By collaborating with medical experts and continuously refining our algorithms, we are able to offer a powerful tool that empowers clinicians, transforming healthcare and improving patient outcomes.
What approaches or methodologies do you use to ensure the accuracy and reliability of computer vision algorithms in the context of skin pathology diagnosis? Can you share examples of how you have validated the performance of AI models and ensured their safety and effectiveness in real-world clinical settings?
To guarantee accuracy and reliability, our computer vision algorithms undergo a multi-stage validation process that encompasses retrospective and prospective clinical validations. Rigorous testing is performed on diverse, representative datasets, employing cross-validation to assess model performance. We collaborate closely with medical professionals, reviewing AI model outputs and gathering feedback to iteratively refine our algorithms. Furthermore, we conduct clinical trials and pilot studies to evaluate safety and efficacy. This ensures that our models adhere to real-world requirements and actively contribute to enhancing patient outcomes.
AI stands as one of the most transformative technologies of the modern era, revolutionizing the way people approach complex problems across various fields. From enhancing healthcare diagnostics to driving advancements in autonomous vehicles, AI’s potential is vast and continually expanding.
To explore the full spectrum of Alfonso Medela’s pioneering work in AI and to stay updated with the latest industry insights, read his full interview exclusively featured in the PERFORMANCE Magazine Issue No 26, 2023 – Data Analytics edition. Download your free copy now through the TKI Marketplace or purchase a printed copy from Amazon.
Dietmar Böhmer joined Tyme seven years ago and he has been leading the data and analytics function across the group, which includes TymeBank in South Africa and the newly launched GoTyme in the Philippines. He has led lending, data science, machine learning, and big data teams in banking for close to two decades and has lectured in the actuarial field prior to that.
Nowadays, with mounting pressure on businesses to be accountable for their environmental and social impact, it is no longer optional but expected for them to develop and implement sustainable business strategies that play out across three key areas: Environment, Social, and Governance (ESG). This pressure comes from rising public awareness, tightening regulations, and increased expectations from customers, employees, and investors.
Stakeholder engagement plays a significant role in the successful implementation of ESG strategies. In this article, let’s explore its functions and effects on ESG strategies.
The power of stakeholder engagement
Stakeholders are individuals, groups, or organizations that can influence or are affected by a company’s strategy from within and outside the organization. They can either drive change or resist it. Therefore, it is critical to identify stakeholders and understand their needs and expectations to ensure the ESG agenda reflects the priorities of those who matter and support the strategy’s long-term success.
Pay Governance LLC, a firm that provides independent advice on executive compensation matters, has developed the Stakeholder Value Creation Chain model (See Figure 1) to better understand the effects of stakeholder engagement on the economic success of a business. It demonstrates how ESG strategy, the stakeholder model, and the generation of corporate value all intersect to provide various advantages for corporations.
Engaging with stakeholders during the strategy execution phase allows companies to foster collaboration, build trust and confidence, encourage support for ESG actions, evaluate how the actions are perceived, mitigate potential risks, and improve decision-making.
To know more about ESG strategy and how it exactly boosts stakeholder engagement based on a report, read the full article in the PERFORMANCE Magazine Issue No. 25 – Sustainability Edition. You can download a free digital copy through the TKI Marketplace. Printed copies are also available on Amazon. But the price may vary depending on location.
The Global Reporting Initiative (GRI) will introduce new sustainability reporting standards focusing on the mining and textile and apparel industries as part of the GRI Sector Program. The move follows the approval by the Global Sustainability Standards Board (GSSB), the independent body responsible for GRI Standards.
The GRI Sector Standard for Mining covers the impacts of mining organizations on environmental, social, and economic aspects. It is consistent with the Environmental, Social, and Governance (ESG) and disclosure frameworks used in the sector. Judy Kuszewski, Chair of the GSSB, told MINING.com that the standard includes metrics that reflect the information required by stakeholders and emphasizes the duties of mining organizations concerning smaller entities and their involvement in the supply chain. This standard will be published in Q3 2023.
Meanwhile, the GRI Textiles and Apparel Standard aims to guide clothing, footwear, fabrics, and other textile manufacturers and retailers on sustainability reporting by setting global best practices. The GRI identified this sector as another top priority due to its adverse effects on the environment and concerns related to labor and human rights. This standard is set for release in Q1 2025.
The GRI Sector Program will produce standards for 40 sectors, prioritizing those with the highest impact on the environment. The Sector Standards “describe the sustainability context for a sector, outline organizations’ likely material topics based on the sector’s most significant impacts, and list disclosures that are relevant for the sector to report on.” For more information, visit https://www.globalreporting.org/standards/sector-program/
Learn more about sustainability reporting through our cover story featuring Eelco van der Enden, the CEO of the Global Reporting Initiative, on PERFORMANCE Magazine Issue No. 25, 2023 – Sustainability Edition. Download a free digital copy through the TKI Marketplace. Printed copies are also available through Amazon (The price may vary depending on location).
Achieving sustainability is challenging for businesses because it requires significant resources, stakeholder cooperation, and change throughout the supply chain. Justin Jia Kai Goh, the Director of Sustainability Services at Accenture, offers practical measures that organizations can adopt to usher in a sustainable future.
Alfonso Medela is the Chief Artificial Intelligence (AI) Officer at Legit.Health, where he oversees the use of advanced computer vision algorithms. A renowned expert in few-shot learning and medical imaging, his contributions include developing an algorithm capable of diagnosing over 232 skin conditions.
Dietmar Böhmer joined Tyme seven years ago and he has been leading the data and analytics function across the group, which includes TymeBank in South Africa and the newly launched GoTyme in the Philippines. He has led lending, data science, machine learning, and big data teams in banking for close to two decades and has lectured in the actuarial field prior to that.
Achieving sustainability is challenging for businesses because it requires significant resources, stakeholder cooperation, and change throughout the supply chain.