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 additionally remodeled city environments, making her a standout determine within the tech business.
Instructional Background
Valeriia’s basis for turning into a outstanding professional in Digital, AA, AI, and GenAI was laid out when she joined the Bachelor of Arts in Economics program supplied collectively by the Increased College of Economics and the New Financial College, two of Russia’s prime financial establishments. Valeriia was one in all 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 change program with Bocconi College in Milan, the place she studied as an change 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 Economy” and by Universum International because the “Futurologist of the Year”. On the finish of the four-year academic program, many prime graduates determined to pursue additional PhD research at Ivy League establishments. Valeriia selected a special path; due to her tutorial achievements, she had the chance to decide on among the many finest employers.
Reworking the Future with AI and GenAI
Valeriia progressed from Enterprise Analyst to Senior Engagement Supervisor at probably the most prestigious consulting corporations and shortly grew to become a acknowledged professional 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 establish “lighthouse” domains to champion innovation. Deciding on preliminary initiatives which can be prone to succeed with accessible sources and making certain crucial knowledge 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 crew with the required abilities and clear roles ought to drive the POC, whereas key success metrics monitoring development, productiveness, and innovation make sure the venture stays on target. Figuring out and mitigating dangers, akin to algorithmic bias and privateness considerations, is significant for moral AI deployment. Growing a strong resolution structure and constantly testing and fine-tuning it’s crucial for scaling. Lastly, integrating the use case into operations, measuring POC outcomes, and scaling with enhanced knowledge 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 revolutionary 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 conduct by focused affords. As an illustration, a 5% reward incentive on the primary three grocery buying 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 largest European cities. Leveraging AI and digital instruments in city planning can considerably improve the effectivity and inclusivity of metropolis improvement methods. A primary instance is the revolutionary “Idea Marathon,” an initiative designed to collect public enter on the longer term 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 neighborhood engagement. Concepts had been collected by varied digital channels, akin to 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 knowledge analytics to course of an immense quantity of knowledge. Her groundbreaking strategies, unmatched in each scope and effectiveness, drew insights from hundreds of residents’ concepts from varied sources, remodeling this intensive knowledge 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, street infrastructure, parking, and pace limits. The success of the “Idea 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 additionally fosters a way of neighborhood possession over public initiatives. The Deputy Mayor and the Head of the Metropolis Division of Transport and Highway Infrastructure Growth praised the initiative, highlighting its effectiveness in partaking residents and implementing their ideas. 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 largest European cities lower street casualties. Growing a “Vision Zero” venture is essential for cities aiming to get rid of street fatalities by 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 establish and handle the primary elements contributing to street accidents and fatalities. By amassing and analyzing street accident knowledge, Ms. Usmanova pinpointed key danger elements contributing probably the most to casualties. The novelty of the strategy lies in the truth that Ms. Usmanova appeared on the complicated mixture of things (e.g., rushing vehicles on particular highways throughout building work) as an alternative of particular person elements (e.g., rushing). This data-driven strategy enabled the identification of main automotive accident clusters on the town map, resulting in focused interventions.
As an illustration, 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 street 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 vital progress.
“Vision Zero” initiatives, just like the one developed beneath Usmanova’s steering, are being applied by main cities worldwide, together with London, Stockholm, and New York Metropolis. These initiatives showcase the effectiveness of mixing knowledge analytics with proactive city planning to create safer streets. By figuring out danger elements and implementing focused options, cities could make substantial strides towards lowering street fatalities and enhancing public security.
Skilled Acclaim
Valeriia’s contributions have earned her recognition as an professional in her discipline. She has served as an writer and decide for notable competitions, together with the McKinsey Enterprise Diving (2020) and the All-Russian Case Championship (2021). Moreover, she has been invited to look overview for the celebrated journal “Contemporary Scientific Studies.”
Innovation-Pushed Outlook
Together with her pioneering mindset and revolutionary strategy, Valeriia Usmanova continues to discover the huge prospects of Digital, AA, AI, and GenAI. Her dedication to driving progress and aiding corporations in successfully integrating and leveraging novel applied sciences cements her standing as a prime professional in her discipline, poised to form the way forward for know-how and concrete innovation.