Proponents of ML emphasize its ability to improve efficiency and streamline processes. For example, systems that recommend products to users using ML can help increase sales and improve customer satisfaction, a view echoed by James Manyanga, director of AI research at Google.
However, there are also concerns that ML could exacerbate existing inequalities. Because the technology requires significant investment, large companies gain a competitive advantage over smaller players. Law and technology expert Professor Frank Pasquale points out that without regulation, the consolidation of power in the hands of those who control big data and ML-based algorithms could threaten democracy.
An important topic in the Machine Learning debate is ethics. Where is the line between empowerment and privacy protection? AI can analyze vast amounts of personal data for specific tasks, but this also creates opportunities for abuse. Roberta Consalvo, an expert in AI and ethics at Harvard University, emphasizes the need for strict ethical standards for ML developers and users.
The Role of a Business Analyst in Successful Management
A business analyst is the link between data and decisions croatia mobile phone number list in business processes. The profession combines elements of IT, analytics, management, and understanding of industry specifics . Business analysts help companies make data-driven decisions that lead to improved processes, increased profitability, and stronger competitive advantages.
The main tasks of a business analyst:
1. **Business process analysis** – analyze current operations, identify inefficiencies and suggest optimization paths. 2. **Data collection and processing** – use various tools and technologies to collect data, then clean and structure it.
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A business analyst is important, but successful management requires both leadership and creativity. Analytics without innovative strategy and effective interpersonal communication are not enough.
3. **Analytics and Modeling** – uses statistical methods and machine learning models to analyze the collected data and identify patterns.
4. ** Development of recommendations** – based on the analytical findings obtained, specific proposals for optimizing business processes are formulated.
5. **Stakeholder Communication** – Interact with managers and individual departments to discuss analysis results and possible strategies.