Having garnered decades of international leadership experience in the domains of Data Management Strategies, Advance Analytics, Synergistic Loyalty Programs, and Business Transformation, Bora Arslan takes charge of data and analytics globally at IAG. As a data and anlytics expert, Arslan is well-versed in machine learning and artificial intelligence and has assisted numerous medium and karge-scale organizations in initiating, expanding and elevating innovative programs.
1. In your opinion, how has the artificial intelligence (AI) landscape evolved over the years? What are some of the advantages of the current technological evolution?
AI evolved quite impressively. We were already pretty advance when it comes to use of structured data for intelligent decisioning. But in the recent years, voice, computer visioning, and NLP came to a level of precision, which is almost on par with, if not better than human-level precision now. And, these new capabilities introduce innovative and very promising new customer experiences. To take advantage of these new capabilities, companies are now trying to become more serious with how they manage their unstructured data assets and make them AI and machine learning friendly. There already are several technology solutions with offerings like virtual assistants and real-time image processing that have the promise of expediting this readiness process and eliminating costly development efforts.
Without creating a synergic collaboration with several other functions such as operations, marketing, IT, finance, and HR that collectively embraces the AI roadmaps, it becomes very challenging to realize its promises
2. What according to you are some of the challenges plaguing the artificial intelligence (AI) landscape and how can they be effectively mitigated?
Two things. The conventional repositories where unstructured data is housed usually were not built originally for machine learning and AI purposes. And, most of these need to be upgraded to better managed infrastructures. Second, and probably, most important, is the culture. As we become mature with AI, meaning as AI becomes more central to our ecosystems, we are forced to create new habits, think and ideate in new forms. Simply put, we need to adapt a new culture that is more suitable to our AI ambitions. This also means what we need to unlearn some old habits. AI might be viewed as a task for analytics and data functions. However, without creating a synergic collaboration with several other functions such as operations, marketing, IT, finance, and HR that collectively embraces the AI roadmaps, it becomes very challenging to realize its promises.
3. Which are a few technological trends influencing artificial intelligence (AI) today? What are some of the best practices businesses should adopt today to steer ahead of competitors?
Several new technologies emerged that have the promise of helping understand customers’ emotional and behavioral traits which are all trying to expand into leveraging unstructured data assets created by operational customer interactions. To take best advantage of such technologies, companies will need to better connect, better link, and better manage all these, usually disparate, customer data created by service operations which itself calls for improved data management technologies. Also, as the collection of these separate customer data assets expands into various touch points which are usually managed and operated by distinct business functions, the necessity for companies to become more cross functionally synergistic is amplified. This requires companies to be very focused on their cultural adjustments to AI.
4. Do you have any advice for industry veterans or budding entrepreneurs from the artificial intelligence (AI) space?
Keep the human element along with all people skills such as communication, clarity, and collaboration as central focus as possible to what you do in the domain of anything data and analytics. Without focus on these it is very hard, if not impossible, for data and analytics efforts to come to shine.