Module 3 Discussion - Skhan

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High-ranking executives in big companies usually view data as really important. It helps make good decisions and makes the whole business work better. They know that data isn't just something that happens during regular business; it's actually helpful. When used correctly, it can make a big difference and give the company an edge. Big data and AI projects work well together because they help each other out. Big data offers power to AI by providing lots of data for training and improving AI. It's hard to distinguish between big data and AI because they are connected and work together successfully ( Zhang et al., 2020 ). It takes a long time for big, well-known companies to start making decisions based on data. There are reasons for this. First, these companies often use old systems and ways of doing things that don't think about data. Bringing in new technology and changing things takes time and money. Also, people in the company might not like change and want to keep doing things the old way. Big companies are massive, making it hard to change things everywhere quickly. This is also noted in an article by Sestino et al. published in 2020. The way things have always been done and the company's structure can make it challenging to use data for decisions. Making this change needs more than just buying new technology. Driving a culture that values using data for decisions at every company level requires real effort. It takes time, planning, and managing changes well to get everyone on board with this new way of thinking.

References Sestino, A., Prete, M. I., Piper, L., & Guido, G. (2020). Internet of Things and Big Data as enablers for business digitalization strategies. Technovation , 98 , 102173. Zhang, A. X., Muller, M., & Wang, D. (2020). How do data science workers collaborate? Roles, workflows, and tools. Proceedings of the ACM on Human-Computer Interaction , 4 (CSCW1), 1-23. Hey there, I enjoyed reading your take on executives and data in big companies. It got me thinking about how important data is for businesses these days. You're right about data being more than just numbers; it's a secret weapon for companies. Do you know any real-life examples of companies using data to get ahead? I heard about a small coffee shop using data to figure out which drinks people liked the most, and it helped them make better choices for their menu. And your point about big data and AI being like best buddies makes sense! It's like they're on the same team, helping each other. I wonder if there are other examples where these two technologies merge daily. The part about big companies taking their time to switch to a data-driven culture is fascinating. Do you think there are ways to speed up this process? Maybe some companies have fantastic strategies for making this shift happen faster. Also, your mention of the challenges due to the size of big corporations struck a chord. Changing things in a big ship takes time. Do you

know any stories of companies that managed to change quickly despite their size? It would be cool to hear about real-life superheroes in the business world. Transitioning to a data-driven culture sounds like a journey. Do you think it's more about the technology or the people in the company? And what role do you think employees play in making this shift successful? Hey sir, I enjoyed reading your post about big data and AI projects. It's an exciting topic, and you've covered some key points. Great job. You've highlighted the close connection between big data and AI, which is crucial in today's tech-driven world. I particularly liked your comparison of big data being the foundation and AI being the learning brain—it paints a vivid picture. One suggestion for enhancement could be diving deeper into specific industries where this synergy is making a significant impact. Are there any particular sectors you find fascinating, or do you think the influence is widespread across various fields? You touched on the challenges large firms face in adopting a data-driven culture, and that's spot-on. Maybe you could explore real-life examples or case studies where companies successfully navigated these challenges. It adds a practical touch and helps readers relate better. I'd also love to hear your thoughts on the ethical considerations surrounding big data and AI. Data privacy and bias are gaining attention as these technologies become more prevalent. What's your take on these aspects, and how should companies address them? Your comparison of data being a GPS for executives is a great analogy! Have you encountered any interesting stories or anecdotes where companies made remarkable decisions based on data-driven insights? Lastly, the notion of data being a "secret sidekick" for executives

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is intriguing. Can you think of specific instances where data was crucial in turning a challenging situation into a golden opportunity?

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