Get the opportunity to grow your influence by giving your products or services prime exposure with Performance Magazine.

If you are interested in advertising with Performance Magazine, leave your address below.

Advertise with us
Free Webinar

How managers and executives stay up-to-date with the latest advancements in data analytics

FacebooktwitterlinkedinFacebooktwitterlinkedin

Image Source: Canva

The field of data analytics is very important nowadays, considering how the business environment is going through continuous developments in terms of technology, innovation, globalization and sustainability. The field also faces various economic struggles and unexpected challenges. For these reasons, managers and executives must remain up-to-date with information and data to make the best decisions for their organizations and maintain their competitive advantage in the market by creating value for clients. 

To do so, I recommend managers and executives join different professional groups on LinkedIn where they can ask questions and discuss any challenges they are facing. They should also have subscriptions to various research journals and business magazines. It also helps to attend conferences where they can meet researchers and professionals from both the academic and business worlds. 

Furthermore, following business blogs, watching podcasts, and reading books are valuable methods to gather new data to make informed decisions. By being part of professional groups on social media and attending conferences, managers and executives can find out in real-time the challenges other leaders face, discuss them, and take on new ideas for implementation as early as the next day. These communities of managers and executives are valuable assets in today’s challenging business environment.

How public entities can better communicate strategy to citizens

FacebooktwitterlinkedinFacebooktwitterlinkedin

Over the recent years since Vision 2030 of the Kingdom of Saudi Arabia (KSA) has been initiated, the massive changes within the operations of government entities have led to a rise of expectations for better communications with the stakeholders to achieve effective citizen engagement. Communication strategies and initiatives have been developed and launched with the initiation of KSA’s Vision 2030 in order to streamline the strategic objectives and clarify the roles of stakeholders and staff as well as identify the target audience and communicate with them more effectively.

To implement the communication strategy of any public entity effectively and efficiently, the communication plans should include what information should be communicated, who should receive that information, when that information should be delivered, and how those communications are tracked. Also, some actions need to be considered within the implementation of communication strategy, such as opening two-way communication means, using technology to streamline the communications, and focusing more on engaging with the audience–not just listening to them and answering.

How can governments leverage data to improve performance?

FacebooktwitterlinkedinFacebooktwitterlinkedin
Islam Salahuddin is a data analyst with a strong focus on storytelling and data visualization, growing statistical knowledge, and developing a set of technical skills and tools. As an expert in data analysis at The KPI Institute, Islam leads the generation of research on the domain of data analytics and the development of business analytics toolkits.

Future-forward: using data analytics in app development

FacebooktwitterlinkedinFacebooktwitterlinkedin

Jino Noel is a data science and technology leader with extensive experience in building data teams and practices across different organizations. His experience ranges from working in startups to large conglomerates across both Australia and the Philippines. At the time of this interview, he was the Chief Data Officer at Data Analytics Ventures, Inc. (DAVI). Currently, he is the Chief Data Officer at Angkas.

What are the key skills that a Chief Data Officer should possess nowadays?

A Chief Data Officer should have both data-related technical expertise as well as people leadership skills. Leading will always be part of the job, particularly for highly specialized technical people such as data engineers and data scientists. To be able to lead them properly, I believe it is better to be a technical person myself, so I can discuss technical matters fluently, which helps me gain their trust.

What data-related challenges have you faced as the Chief Data Officer of DAVI? How did you overcome these challenges?

Our data-related challenges are the same as any company. Being able to trust our data, cleaning up data from our sources, data latencies, and other related issues. DAVI overcame these by investing in people—hiring high-quality experts in our data engineering, data governance, and analytics teams to help us make sense of the data coming in—and building robust data pipelines that have increased the standard of quality of the data in our data lake.

How does DAVI make use of advancements in artificial intelligence (AI) and machine learning to help its clients understand their customers’ needs and buying patterns?

DAVI has recently started using machine learning to model our users’ propensity to buy certain products. This helps us create more accurate target audiences for our precision marketing campaigns. We are also moving forward with a recommendation engine project, with the goal of improving user engagement with our retail partners and with our promos and campaigns. On top of this, we are improving our machine learning operations expertise to make our model deployments repeatable and robust.

In the digital marketplace, data analytics acts as a guiding compass for app developers, enabling the creation of personalized, high-performing applications that align with user preferences. By leveraging data, developers can understand nuanced user behaviors and preferences, allowing them to tailor apps to meet specific user needs and aspirations.

Dive deeper into these discussions by reading Jino Noel’s full interview with The KPI Institute. Download the free digital copy of PERFORMANCE Magazine Issue No. 26, 2023 – Data Analytics on the TKI Marketplace. You can also purchase a  physical copy via Amazon

Beyond skin-deep: leveraging AI to improve diagnostics accuracy for skin pathologies

FacebooktwitterlinkedinFacebooktwitterlinkedin

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

THE KPI INSTITUTE

The KPI Institute’s 2024 Agenda is now available! |  The latest updates from The KPI Institute |  Thriving testimonials from our clients |