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 distinguished 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 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. Due to her educational 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 subject 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 high graduates determined to pursue additional PhD research at Ivy League establishments. Valeriia selected a special path; because of 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 prestigious consulting corporations and rapidly grew to become a acknowledged knowledgeable within the GenAI subject. She shares with us the recipe for profitable GenAI transformation. Organizations ought to create a worth roadmap that prioritizes impactful and possible use instances and determine “lighthouse” domains to champion innovation. Choosing preliminary tasks which are prone to succeed with out there assets and making certain obligatory information and technical foundations are in place is essential. Inner 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 group with the required expertise 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, akin to algorithmic bias and privateness issues, is significant for moral AI deployment. Growing a sturdy answer structure and repeatedly testing and fine-tuning it’s obligatory 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 modern AI/ML-driven customized promotional device 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 via focused gives. As an 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 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 primary instance is the modern “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 ability of neighborhood engagement. Concepts have been collected via 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 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 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 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 neighborhood 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 partaking 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 Massive Knowledge and superior analytics, Valeriia helped one of many largest European cities lower street casualties. Growing a “Vision Zero” undertaking is essential for cities aiming to remove street fatalities via data-driven methods. A notable instance of such an initiative is the efforts led by Valeriia Usmanova, who utilized Massive Knowledge and superior analytics to determine and tackle the primary components contributing to street accidents and fatalities. By gathering and analyzing street 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 seemed on the complicated mixture of things (e.g., dashing vehicles on particular highways throughout development work) as a substitute of particular person components (e.g., dashing). This data-driven strategy enabled the identification of main automotive accident clusters on the town map, resulting in focused interventions.
As an 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 aim to cut back this to lower than 1 by 2040. By the top of 2023, this metric had decreased to 2.3, demonstrating important progress.
“Vision Zero” tasks, just like the one developed below Usmanova’s steering, 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 components 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 subject. 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 assessment for the distinguished journal “Contemporary Scientific Studies.”
Innovation-Pushed Outlook
Together with her pioneering mindset and modern strategy, Valeriia Usmanova continues to discover the huge potentialities 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 subject, poised to form the way forward for expertise and concrete innovation.
