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Nick Khlebinsky
Tech entrepreneur, Digital expert, MBA
Nick Khlebinsky is the co-founder of Retail Rocket, a MarTech startup based in The Netherlands, now expanding globally. Established in 2012, Retail Rocket's AI-powered marketing automation platform is utilized by over 1000 retailers worldwide, including renowned brands like Nintendo, Karcher, Puma, and more. The platform employs AI to personalize various marketing channels like websites, mobile apps, emails, and notifications, contributing to over 473 million Euros of additional revenue for customers in 2021. Nick holds a Master of Business Administration (MBA) in Business Administration and Management from Moscow School of Management SKOLKOVO. Additionally, he completed studies in Internet Industry Management and Economics & Management from State University of Management, RMA, and All-Russian State Distance-Learning Institute of Finance and Economics, respectively. Nick has held various roles in organizations, including Advisor, CEO & Co-founder at Retail Rocket, Head of Web Analytics at Dostavka, Business Development Manager at Fast Lane Ventures, Online Marketing Manager at ABBYY, and Owner of the online shop www.postermag.ru.
Highlights
Come on! Maybe these change-their-tune-based-on-the-latest-news-updates influencers are just trying to stay relevant and appeal to their ever-changing audience. After all, who wants to be left behind in the race for social media fame? And let's not forget, they have bills to pay too. So, if that means jumping on the latest bandwagon and abandoning their principles, then so be it. But only if everyone else is truly aware about it.
In all seriousness though, it's important for influencers to remember the power they hold and the impact their words and actions can have on their followers. Let's just hope they start prioritizing authenticity and substance over shallow trends and fleeting popularity.
#socialmedia
AI has to be approached with caution and always be on the lookout for unexpected plot twists that could derail even the most seemingly failproof business model.
Let's consider the use of AI in credit scoring. On the surface, this seems like a no-brainer - using machine learning to analyze vast amounts of data and generate credit scores quickly and accurately can save time and money for lenders and borrowers alike. But what happens when the AI algorithm starts to incorporate biased data, such as race or gender, into its calculations? Suddenly, the seemingly efficient and unbiased system becomes discriminatory, leading to unequal treatment for certain groups of people.
Similarly, AI-powered chatbots can be a great way to offer 24/7 customer service in fintech. But what happens when a frustrated customer's interactions with the chatbot are misinterpreted, leading to a wrong answer or an unsatisfactory resolution? This can lead to a breakdown in trust between the customer and the company, ultimately leading to lost business.
As with any business model, it's important to stay vigilant and constantly assess the outcomes of your algorithms. Regularly audit the data being used and make sure that it's not inadvertently perpetuating biases or leading to incorrect results. Be sure to monitor customer feedback and provide human oversight when necessary to avoid any miscommunications. #ai #machinelearning #business #fintech #people
