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.
Instructional Background
Valeriia’s basis for turning 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 Increased Faculty of Economics and the New Financial Faculty, two of Russia’s high financial establishments. Valeriia was one in all 50 college students who excelled in Olympiads in Economics and Math and entered this system. Due to her educational achievements, Valeriia was additionally chosen to take part in an trade program with Bocconi College in Milan, the place she studied as an trade scholar. 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 World because the “Futurologist of the Year”. On the finish of the four-year academic program, many high graduates determined to pursue additional PhD research at Ivy League establishments. Valeriia selected a unique path; due to her educational achievements, she had the chance to decide on among the many greatest employers.
Remodeling the Future with AI and GenAI
Valeriia progressed from Enterprise Analyst to Senior Engagement Supervisor at one of the crucial prestigious consulting corporations and rapidly grew to become 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 establish “lighthouse” domains to champion innovation. Choosing preliminary tasks which can be prone to succeed with accessible sources and guaranteeing vital information and technical foundations are in place is essential. Inside 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 group with the required expertise and clear roles ought to drive the POC, whereas key success metrics monitoring development, productiveness, and innovation make sure the challenge stays heading in the right direction. Figuring out and mitigating dangers, resembling algorithmic bias and privateness issues, is significant for moral AI deployment. Creating a strong resolution structure and constantly testing and fine-tuning it’s vital 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 function in creating an modern AI/ML-driven customized promotional instrument designed to spice up financial institution prospects’ transactional engagement. Observing the excessive frequency of money funds and peer-to-peer transfers among the many financial institution’s shoppers, Ms. Usmanova devised an answer to foretell and affect buyer transaction habits by means of 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 prospects 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 growth methods. A chief instance is the modern “Idea Marathon,” an initiative designed to assemble public enter on the long run growth 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, resembling 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 methods, unmatched in each scope and effectiveness, drew insights from hundreds of residents’ concepts from numerous sources, reworking this in depth 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, 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 in addition fosters a way of group possession over public tasks. The Deputy Mayor and the Head of the Metropolis Division of Transport and Highway Infrastructure Improvement praised the initiative, highlighting its effectiveness in participating 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 Huge Information and superior analytics, Valeriia helped one of many largest European cities lower street casualties. Creating a “Vision Zero” challenge is essential for cities aiming to get rid of street fatalities by means of data-driven methods. A notable instance of such an initiative is the efforts led by Valeriia Usmanova, who utilized Huge Information and superior analytics to establish and handle the principle elements contributing to street accidents and fatalities. By accumulating and analyzing street accident information, Ms. Usmanova pinpointed key danger elements contributing essentially the most to casualties. The novelty of the strategy lies in the truth that Ms. Usmanova regarded on the complicated mixture of things (e.g., rushing vans on particular highways throughout development work) as an alternative of particular person elements (e.g., rushing). This data-driven strategy enabled the identification of main automobile 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 important progress.
“Vision Zero” tasks, just like the one developed underneath Usmanova’s steerage, are being carried out by main cities worldwide, together with London, Stockholm, and New York Metropolis. These tasks showcase the effectiveness of mixing information analytics with proactive city planning to create safer streets. By figuring out danger elements and implementing focused options, cities could make substantial strides towards decreasing street 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 look evaluate for the celebrated journal “Contemporary Scientific Studies.”
Innovation-Pushed Outlook
Together with her pioneering mindset and modern 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 high knowledgeable in her discipline, poised to form the way forward for know-how and concrete innovation.
