Valeriia Usmanova is a reputation synonymous with cutting-edge developments in AI and generative AI. Her work has not solely reshaped the business-to-consumer panorama but in addition remodeled city environments, making her a standout determine within the tech trade.
Academic Background
Valeriia’s basis for changing into a outstanding knowledgeable in Digital, AA, AI, and GenAI was laid out when she joined the Bachelor of Arts in Economics program supplied collectively by the Greater Faculty of Economics and the New Financial Faculty, two of Russia’s prime financial establishments. Valeriia was considered one of 50 college students who excelled in Olympiads in Economics and Math and entered this system. Because of her tutorial achievements, Valeriia was additionally chosen to take part in an trade program with Bocconi College in Milan, the place she studied as an trade pupil. For her achievements within the discipline of economics, she was honored by Moscow State College as a part of the “Gold Reserves of the Russian Economic system” and by Universum International because the “Futurologist of the 12 months”. On the finish of the four-year instructional program, many prime graduates determined to pursue additional PhD research at Ivy League establishments. Valeriia selected a distinct path; because of her tutorial achievements, she had the chance to decide on among the many finest employers.
Remodeling the Future with AI and GenAI
Valeriia progressed from Enterprise Analyst to Senior Engagement Supervisor at probably the most prestigious consulting firms and rapidly turned a acknowledged knowledgeable within the GenAI discipline. She shares with us the recipe for profitable GenAI transformation. Organizations ought to create a worth roadmap that prioritizes impactful and possible use circumstances and determine “lighthouse” domains to champion innovation. Choosing preliminary initiatives which are more likely to succeed with out there assets and making certain mandatory information and technical foundations are in place is essential. Inner use circumstances can facilitate adoption and mitigate exterior dangers. Clear definitions of goal audiences, key options, and phases for Proof of Idea (POC), Minimal Viable Product (MVP), and rollout phases are important for alignment amongst stakeholders. A devoted staff with the required abilities and clear roles ought to drive the POC, whereas key success metrics monitoring progress, productiveness, and innovation make sure the undertaking stays on the right track. Figuring out and mitigating dangers, reminiscent of algorithmic bias and privateness considerations, is important for moral AI deployment. Creating a sturdy answer structure and repeatedly testing and fine-tuning it’s mandatory for scaling. Lastly, integrating the use case into operations, measuring POC outcomes, and scaling with enhanced information processing, new options, and complete danger monitoring will result in profitable GenAI implementation from idea to deployment.
Following this recipe, Valeriia Usmanova performed a pivotal position in creating an progressive AI/ML-driven personalised promotional device designed to spice up financial institution clients’ transactional engagement. Observing the excessive frequency of money funds and peer-to-peer transfers among the many financial institution’s purchasers, Ms. Usmanova devised an answer to foretell and affect buyer transaction habits by means of focused gives. For example, a 5% reward incentive on the primary three grocery procuring transactions was crafted to encourage particular actions. Her cutting-edge fashions considerably elevated the financial institution’s transactional exercise by 5-10%, which led to a lower within the share of money funds and peer-to-peer transfers, benefiting each clients and the financial institution.
Pioneering AI in City Planning
Valeriia additionally delivered novel and groundbreaking outcomes for one of many greatest European cities. Leveraging AI and digital instruments in city planning can considerably improve the effectivity and inclusivity of metropolis improvement methods. A first-rate instance is the progressive “Thought Marathon,” an initiative designed to assemble public enter on the long run improvement of city transport infrastructure. This initiative, conceptualized and led by Valeriia Usmanova, resulted in over 9,000 concepts from 20,000 residents, demonstrating the facility of group engagement. Concepts have been collected by means of numerous digital channels, reminiscent of WiFi pop-ups and the Metropolis Transport app, in addition to offline strategies like posters in public transport and in-person surveys. Ms. Usmanova utilized superior information analytics to course of an immense quantity of information. Her groundbreaking strategies, unmatched in each scope and effectiveness, drew insights from hundreds of residents’ concepts from numerous sources, reworking this intensive information into actionable and significant suggestions, which was pivotal in validating and increasing the town’s strategic priorities till 2030.
The initiative addressed a variety of areas, together with public transport, biking, highway infrastructure, parking, and pace limits. The success of the “Thought Marathon” led to its annual replication, showcasing the advantages of sustained citizen engagement. This strategy not solely ensures that city planning aligns with the wants and preferences of residents but in addition fosters a way of group possession over public initiatives. The Deputy Mayor and the Head of the Metropolis Division of Transport and Street Infrastructure Improvement praised the initiative, highlighting its effectiveness in participating residents and implementing their options. This instance underscores the worth of integrating digital innovation and public participation in shaping the way forward for city transport.
Imaginative and prescient Zero Technique
Utilizing Massive Information and superior analytics, Valeriia helped one of many greatest European cities lower highway casualties. Creating a “Imaginative and prescient Zero” undertaking is essential for cities aiming to remove highway fatalities by means of data-driven methods. A notable instance of such an initiative is the efforts led by Valeriia Usmanova, who utilized Massive Information and superior analytics to determine and deal with the principle components contributing to highway accidents and fatalities. By accumulating and analyzing highway accident information, Ms. Usmanova pinpointed key danger components contributing essentially the most to casualties. The novelty of the strategy lies in the truth that Ms. Usmanova regarded on the advanced mixture of things (e.g., rushing vans on particular highways throughout building work) as an alternative of particular person components (e.g., rushing). This data-driven strategy enabled the identification of main automobile accident clusters on the town map, resulting in focused interventions.
For example, Usmanova’s evaluation revealed particular high-risk areas and proposed measures to mitigate these risks, together with detailed implementation roadmaps for every. The outcomes have been promising; in 2020, the town recorded 3.5 highway fatalities per 100,000 inhabitants, with a purpose to scale back this to lower than 1 by 2040. By the tip of 2023, this metric had decreased to 2.3, demonstrating important progress.
“Imaginative and prescient Zero” initiatives, just like the one developed below Usmanova’s steerage, are being carried out by main cities worldwide, together with London, Stockholm, and New York Metropolis. These initiatives showcase the effectiveness of mixing information analytics with proactive city planning to create safer streets. By figuring out danger components and implementing focused options, cities could make substantial strides towards decreasing highway fatalities and enhancing public security.
Skilled Acclaim
Valeriia’s contributions have earned her recognition as an knowledgeable in her discipline. She has served as an writer and choose for notable competitions, together with the McKinsey Enterprise Diving (2020) and the All-Russian Case Championship (2021). Moreover, she has been invited to see evaluate for the distinguished journal “Up to date Scientific Research.”
Innovation-Pushed Outlook
Along with her pioneering mindset and progressive strategy, Valeriia Usmanova continues to discover the huge prospects of Digital, AA, AI, and GenAI. Her dedication to driving progress and aiding firms in successfully integrating and leveraging novel applied sciences cements her standing as a prime knowledgeable in her discipline, poised to form the way forward for know-how and concrete innovation.
