Knowledgeable Inna Logunova on optimizing Enterprise Efficiency with AI
As companies more and more face strain to make fast, data-driven choices, many are turning to synthetic intelligence (AI) to keep up a aggressive edge. In truth, a 2023 report by PwC initiatives that AI will contribute $15.7 trillion to the worldwide financial system by 2030, with companies that undertake AI applied sciences seeing vital good points in effectivity and decision-making. But, regardless of the rising use of AI, research present that 70% of firms battle to totally understand the potential of their information on account of a scarcity of correct instruments and infrastructure.
Inna Logunova, Senior Strategist at Dataiku, has constructed a profession round serving to organizations unlock the facility of AI and information analytics. With expertise spanning startups to Fortune 500 firms, she has spearheaded initiatives that optimize decision-making and drive enterprise development. “Data is only as powerful as the tools and strategies used to interpret it,” says Logunova. “AI allows companies to dig deeper into their data, uncover patterns, and make more strategic decisions that drive growth.”
Some of the widespread points companies face is fragmented information, saved throughout varied programs in numerous codecs. This makes it tough to get a whole image of the group’s efficiency and hampers efficient decision-making. Logunova skilled this firsthand when she labored on a consulting mission consolidating information from 42 subsidiaries, every storing multiformat data. “This required significant manual effort for data reconciliation, but with AI and advanced tools like image recognition, we were able to automate the process,” explains Logunova. The end result was the event of a brand new gross sales incentives program that not solely helped the consumer meet development targets but additionally improved worker retention within the gross sales division by 15% yr over yr.
Logunova has utilized each supervised and unsupervised studying strategies to resolve varied enterprise challenges. In a single mission, she used supervised studying fashions, akin to sentiment evaluation, to evaluate buyer success tickets. “This allowed us to analyze customer feedback on new product features and prioritize tickets based on urgency,” she says. “As a result, we were able to resolve customer issues more effectively, leading to a 20% increase in Net Promoter Score (NPS) quarter over quarter.”
On the unsupervised studying entrance, Logunova utilized clustering strategies to section clients primarily based on habits and demographics, which improved the accuracy of strategic concentrating on. “Unsupervised learning helps us identify patterns that we weren’t even looking for, which is essential for market segmentation and product development,” she notes.
Along with conventional AI purposes, Logunova has been on the forefront of integrating Generative AI into enterprise operations. “We streamlined tasks like data enrichment using Large Language Models (LLMs) by leveraging internal and third-party providers’ data,” she explains. Moreover, Logunova carried out Generative AI assistants to develop custom-made emails and automate responses primarily based on organizational information. Utilizing the Retrieval-Augmented Era (RAG) method, her crew educated LLMs to offer tailor-made responses to particular enterprise wants. “This not only accelerated communications but also reduced manual workload,” she provides.
AI isn’t nearly development; it’s additionally about effectivity. “AI can automate time-consuming manual processes, freeing up valuable resources for more strategic tasks,” says Logunova. In a mission the place her crew automated information reconciliation and reporting, firms noticed their information processing time lower in half. This not solely saved time but additionally decreased human error, which improved the general accuracy of enterprise operations.
Logunova believes that Generative AI can rework enterprise operations boosting productiveness by optimizing varied workflows. Based on a McKinsey report, 40% of organizations plan to extend their funding in AI, pushed by advances in Generative AI. “Implementing Generative AI is not just about staying ahead of the curve — it’s about redefining how we work,” says Logunova. By leveraging AI to automate routine duties and supply actionable insights, firms aren’t solely saving time, but additionally gaining a aggressive edge.
As AI-powered instruments develop into extra widespread, Logunova predicts a major shift in how companies function. “AI should be embedded in the core of the business, driving decisions and creating efficiencies across departments,” she explains. “When implemented correctly, AI leads to measurable improvements in everything from customer satisfaction to revenue growth.”
Whereas AI affords highly effective insights and operational efficiencies, Logunova stresses that it isn’t a alternative for human experience. “AI is designed to complement human experience, not to take over,” she says. “The most successful companies are those that combine AI’s capabilities with human judgment.”
With AI persevering with to evolve and make its mark throughout industries, companies that embrace these applied sciences immediately are positioning themselves to guide tomorrow, and specialists like Inna Logunova are paving the best way to innovation.