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 reworked city environments, making her a standout determine within the tech business.
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 provided collectively by the Increased College of Economics and the New Financial College, two of Russia’s high financial establishments. Valeriia was one among 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 alternate program with Bocconi College in Milan, the place she studied as an alternate 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 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; because of her tutorial achievements, she had the chance to decide on among the many greatest employers.
Reworking the Future with AI and GenAI
Valeriia progressed from Business Analyst to Senior Engagement Supervisor at one of the crucial 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 price roadmap that prioritizes impactful and possible use instances and determine “lighthouse” domains to champion innovation. Deciding on preliminary initiatives which might be more likely to succeed with obtainable assets and making certain vital information and technical foundations are in place is essential. Inside use instances 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 challenge stays heading in the right direction. Figuring out and mitigating dangers, comparable to algorithmic bias and privateness considerations, is significant for moral AI deployment. Growing a sturdy answer 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 revolutionary AI/ML-driven personalised 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 focused gives. For example, 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 improvement methods. A first-rate instance is the revolutionary “Idea Marathon,” an initiative designed to assemble 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 ability of group engagement. Concepts have been collected by varied digital channels, comparable 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 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 varied sources, remodeling 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, street infrastructure, parking, and velocity limits. The success of the “Idea Marathon” led to its annual replication, showcasing the advantages of sustained citizen engagement. This method not solely ensures that city planning aligns with the wants and preferences of residents but additionally fosters a way of group possession over public initiatives. The Deputy Mayor and the Head of the Metropolis Division of Transport and Street Infrastructure Growth praised the initiative, highlighting its effectiveness in participating residents and implementing their strategies. 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 Large Knowledge and superior analytics, Valeriia helped one of many largest European cities lower street casualties. Growing a “Vision Zero” challenge is essential for cities aiming to eradicate street fatalities by data-driven methods. A notable instance of such an initiative is the efforts led by Valeriia Usmanova, who utilized Large Knowledge and superior analytics to determine and handle the principle elements contributing to street accidents and fatalities. By gathering and analyzing street accident information, Ms. Usmanova pinpointed key danger elements contributing essentially the most to casualties. The novelty of the method lies in the truth that Ms. Usmanova appeared on the advanced mixture of things (e.g., dashing vehicles on particular highways throughout building work) as an alternative of particular person elements (e.g., dashing). This data-driven method 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 street fatalities per 100,000 inhabitants, with a objective 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” initiatives, just like the one developed beneath Usmanova’s steerage, are being applied 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 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 creator and decide for notable competitions, together with the McKinsey Business Diving (2020) and the All-Russian Case Championship (2021). Moreover, she has been invited to see evaluation for the distinguished journal “Contemporary Scientific Studies.”
Innovation-Pushed Outlook
Together with her pioneering mindset and revolutionary method, 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 high knowledgeable in her discipline, poised to form the way forward for expertise and concrete innovation.
