Professional Inna Logunova on optimizing Business Efficiency with AI
As companies more and more face stress to make fast, data-driven selections, many are turning to synthetic intelligence (AI) to take care of 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 important positive aspects 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 as a result of an absence 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 progress. “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.”
One of the crucial widespread points companies face is fragmented information, saved throughout numerous techniques in numerous codecs. This makes it troublesome to get an entire image of the group’s efficiency and hampers efficient decision-making. Logunova skilled this firsthand when she labored on a consulting challenge 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 progress targets but in addition improved worker retention within the gross sales division by 15% yr over yr.
Logunova has utilized each supervised and unsupervised studying methods to resolve numerous enterprise challenges. In a single challenge, she used supervised studying fashions, equivalent 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 methods to phase clients based mostly on habits and demographics, which improved the accuracy of strategic focusing 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 personalized emails and automate responses based mostly on organizational information. Utilizing the Retrieval-Augmented Technology (RAG) method, her staff skilled LLMs to supply tailor-made responses to particular enterprise wants. “This not only accelerated communications but also reduced manual workload,” she provides.
AI isn’t nearly progress; it’s additionally about effectivity. “AI can automate time-consuming manual processes, freeing up valuable resources for more strategic tasks,” says Logunova. In a challenge the place her staff automated information reconciliation and reporting, firms noticed their information processing time minimize in half. This not solely saved time but in addition diminished human error, which improved the general accuracy of enterprise operations.
Logunova believes that Generative AI can remodel enterprise operations boosting productiveness by optimizing numerous 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 will not be solely saving time, but in addition gaining a aggressive edge.
As AI-powered instruments turn into extra widespread, Logunova predicts a big 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 presents 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 as we speak are positioning themselves to guide tomorrow, and specialists like Inna Logunova are paving the best way to innovation.
