Private Air New York

www.privateairny.com Private Air | Spring 2021 44 BUSINESS Forbes Business Council Member Merilee Kern, MBA is an internationally-regarded brand analyst, strategist and futurist who reports on noteworthy industry change makers, movers, shakers and innovators across all B2B and B2C categories. This includes field experts and thought leaders, brands, products, services, destinations and events. Merilee is Founder, Executive Editor and Producer of "The Luxe List" as well as Host of the nationally- syndicated "Savvy Living" TV show. As a prolific business and consumer trends, lifestyle and leisure industry voice of authority and tastemaker, she keeps her finger on the pulse of the marketplace in search of new and innovative must-haves and exemplary experiences at all price points, from the affordable to the extreme—also delving into the minds behind the brands. Her work reaches multi-millions worldwide via broadcast TV (her own shows and copious others on which she appears) as well as a myriad of print and online publications. Connect with her at www.TheLuxeList.com and www.SavvyLiving.tv / Instagram www.Instagram.com/ LuxeListReports / Twitter www.Twitter.com/LuxeListReports / Facebook www.Facebook.com/LuxeListReports / LinkedIN www.LinkedIn.com/in/MerileeKern. and determine that "X" amount of people saw "X" number of jeans, but they had to walk further to get to it. As a result, the department store can put those items closer to the door and walkways to determine if sales increase in kind. Even the education realm is tapping AI-driven data. e technology is tracking retina movement to discern if kids are engaged amid the remote learning paradigm ushered in by the pandemic. ey're exploring how to measure the retina to determine whether a child is engaged in the lesson. In radiology, they are starting to convert visual data and track it to gain a deeper understanding of digital images and video. MRIs are better able to track brain tumors—whether they are growing or shrinking and at what rate, and if they are getting darker or lighter in terms of the regions. is kind of AI-driven learning is helping doctors better detect cancer and treat it more rapidly. Video data processing of the human eye can also be used to determine if a person is drunk, fatigued, or even has a disease. Voice machine learning has also keenly evolved. Initially, voice recognition was being utilized to discern if a person was suicidal, which could be accurately predicted by inflection points in a person's voice. If that person can be captured on video, it is deemed to be about 20 times more accurate. "All of this possibly had previously demanded a hefty price tag using systems and solutions of yore," Khan notes. "Today, integrating multiple processes across hybrid multi- cloud environments has made data processing and analytics much more accessible and outsourceable. is negates the need for companies to purchase cost-prohibitive servers and other machine hardware." As one of the world's leading experts on building transparency into supply chains, Khan doesn't just talk the talk; he's walked the walk. As a revered marketplace change agent, he's known for driving business transformation and customer-centric turnaround growth strategies in a multitude of environments. In addition to engineering partnerships with MIT, Khan has successfully led organizational changes and process improvement in markets across the Americas, Europe, Middle East, and Asia. "New AI solutions and trends will eliminate patchwork processes that cause data, and interpretations thereof, to get lost in translation or, even worse, remain entirely undiscovered," Khan says. "Next-Gen platforms are solving such problems by executing all functions required to create and govern AI products— single-source systems that pull data, transform, model, tunes and recommend actions with cause-effect transparency." For niche players, today's leading- edge AI technology also aptly provides for vertical industry specialization. "Emerging solutions enable common data models, compliance and interoperability requirements that, in turn, accelerate model validation, refinement, and implementation that's specific to a given sector or marketplace," notes Khan. "All of this ultimately drives speed to insights on previously unsolved problems, which reveals untapped opportunities and automates workflow integrated cognitive solutions." "Overall, AI is ushering in a new and more sophisticated era of data literacy," he continues. "It's a new paradigm founded on automated, comprehensive and holistic data discovery, which is fostering elevated cognitive insights and actionable strategies that positively impact the top and bottom line." Perhaps the future mandate for AI should not only focus on becoming smarter, faster, and more accountable than predecessors but bridge the gap between human intuition and data-backed decisions. Doing so will assuredly advance an organization's ability to transact with utmost trust.

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