Suggestions
Arek Skuza
AI and Data Strategist - Adviser to global businesses - Interim US Director at Future-Processing.com - Faculty Member at @UEwP
Arek Skuza is a seasoned professional with over 15 years of experience focusing on revenue growth, market expansion, and business model advisement.
His expert skill set encompasses areas such as AI-powered product launch management, go-to-market strategies, product roadmap management, and business process redesign utilizing AI technologies.
Arek's educational background includes studies in Artificial Intelligence at Northwestern University, International Business at the University of Oxford, and an MBA in Management and Operations from Uniwersytet Ekonomiczny w Poznaniu.
Throughout his career, he has held notable positions such as Interim US Strategy Director at Future Processing, Columnist at INNPoland and Forbes, Founder at Volta Venture, and Founding Partner at K2 Digital Ventures.
Arek Skuza's extensive expertise in AI and data-driven opportunities has contributed significantly to the growth and success of various organizations, making him a prominent figure in the industry.
Highlights
Struggling to find the right AI talent or wondering how to implement AI solutions that truly make a difference?
Start by identifying key gaps in your team, like machine learning engineers or AI specialists, and explore practical ways to use AI-driven tools, such as image recognition, to solve real business challenges. Get tips on how to boost your product portfolio’s ROI and adapt to your customers’ tech needs.
These easy-to-follow strategies will help you stay ahead and build a stronger tech future!
How are you currently addressing AI skill gaps in your team? Share your approach in the comments!
AI is revolutionizing customer operations and service in the financial sector. According to a recent paper published by Princeton & Oxford researchers, large language models (LLMs) are enabling significant advancements:
👉 Enhanced customer interactions: AI-powered chatbots and virtual assistants can provide 24/7 personalized support, answering complex queries and offering financial advice tailored to individual needs. 👉 Improved financial planning: LLMs can analyze vast amounts of data to generate customized financial plans and investment strategies, helping customers make more informed decisions. 👉 Streamlined processes: AI automates routine tasks like document processing and data entry, speeding up operations like loan applications and account openings. 👉 Better risk assessment: AI models can rapidly analyze customer data and market trends to provide more accurate credit scoring and fraud detection. 👉Personalized product recommendations: By understanding customer behavior and preferences, AI can suggest relevant financial products and services.
The financial sector has seen rapid development of specialized AI models. From early adaptations of BERT models for finance (FinBERT) to more recent innovations like BloombergGPT and PloutosGPT in 2023-2024, there's now a wide array of AI tools tailored for specific financial tasks.
Choosing the right model for each application - whether it's analyzing financial texts, predicting market trends, or providing customer service - is crucial for optimal performance and results.
Financial institutions should stay informed about these evolving AI capabilities to leverage the most suitable technologies for their specific needs and use cases.
Please find:
- Link to the paper: https://lnkd.in/g2Gb6bQE
- Link to my newsletter: https://lnkd.in/g2n2R9an

