The race to implement AI technology has accelerated in the past two years since the introduction of transformer-based large language models (LLMs) such as ChatGPT - the beginning of a new Era of Generative AI. AI has been around longer than is widely known. However, we're now realizing the full potential of Applied AI across different industries. This is where experts in Artificial Intelligence have been aware of its potential benefits for years.
Syed Azhar Hussain is an expert who fully embraced AI advancements long before the public became aware. Hussain is an expert with 20 years in technology, media, and telecommunications (TMT). Hussain has a BS in Computer Engineering and spent two years completing post-graduate certificate courses in Advanced Software Engineering and Neural Networks. He holds three Masters's Degrees: Master of Science in Digital Currency and Artificial Intelligence and an MBA. In 2015, he participated in Harvard University Graduate School of Deфsign to specialize in Smart Cities design. Later, he helped in building the TR259 Smart City Maturity and Benchmark Model (R19.0.1) at TMForum. Using TR259, he guided and supported municipalities to maximize intelligent city investments.
As an AI and Data Products Strategy Leader with multi-year practical experience in the TMT industry, Hussain works on business growth to create innovative business and operating models for different customers using emerging technologies. Specialized in digital channels, solution planning, identifying gaps, setting standards, and streamlining processes, he creates and deploys business strategies, AI products, and efficiency programs that boost market share and ROI.
He does this through the development of a Minimum-Lovable Product (MLP). An MLP is a product that consumers love right from the beginning, for example, a luxury car. A basic car that takes you from here to there is the bare minimum needed. Add to that a luxurious leather interior, heated seats, satellite radio, luxe trim, and a sleek paint job, and you immediately have a car that consumers will fall in love with.
To develop a successful MLP, Hussain recommended companies understand customer pain points and convert those pain points into a solution that is both viable and economical. MLP's actual value can be seen in the Era of Applied AI. While working toward AI adoption within an enterprise, companies may test several products and strategies to infuse AI into businesses, most of which will fail. Hussain, with his MLP approach, identifies the needs of these businesses and develops AI-driven solutions that lead to customer satisfaction and hypergrowth.
Many companies struggle to adopt and scale AI technology quickly enough, fearing difficulties or potential failures. This is where Hussain steps in with MLP methodology; he can quickly identify his customers' needs and develop an AI-powered product or solution to swiftly deliver value and excite the customer. Hussain believes that failing to implement AI technology without focusing on customers' real needs could lead to company demise or stagnation. It is pertinent to note that AI adoption depends on data as an input that changes every minute and business value as an uncertain result. Consequently, Hussain's MLP-focused AI actualization framework provides support and continuous learning for customers to continue scaling responsible AI after adopting his solution.
In 2022, Hussain participated in a medical research study using his specific skills. The research project, which took eight months, used Deep Learning to classify unbalanced CT scan images to reduce radiation exposure. The study, Prediction of the as Low as Diagnostically Acceptable CT Dose for Identification of the Inferior Alveolar Canal Using 3D Convolutional Neural Networks with Multi-Balancing Strategies, was published in the online journal Diagnostics MDPI (2023) after being presented at a medical conference.
Hussain is working in the industry to accelerate AI adoption and completing his PhD in Artificial Intelligence at Munster Technological University in Cork, Ireland. His research focuses on enabling collaborative learning using a Blockchain system to make federated learning more trustworthy, transparent, and scalable. To that end, he is developing a decentralized platform for collaborative learning that enables secure data sharing between multiple parties. With this, Hussain aims to solve the issue of sharing certain data between multiple parties while preserving privacy. This will be followed by real-world scenario testing to determine its scalability and performance.
This is one expert who believes in the future of AI technology and its valuable impact across every industry. As advancements continue, Hussain will be there, helping businesses and consumers navigate Artificial Intelligence potential.
About the Author
Ron Hinton is a self-proclaimed tech geek who loves to write about artificial intelligence's potential pros and cons.
