From Data to Decisions: Overcoming Challenges in AI-Driven Decision Making


Wed, Apr 12, 4:00 PM (UTC)

AI and Machine Learning
Financial Services

About this event

In today's world, data is a crucial asset for organizations to make informed decisions. The emergence of artificial intelligence (AI) has revolutionized the way businesses operate by providing the ability to process vast amounts of data at unprecedented speeds. However, implementing AI into decision-making processes presents significant challenges, including bias, lack of transparency, and ethical concerns.

The problem of bias in decision-making processes has been a long-standing issue for businesses across industries. Biases can lead to suboptimal decisions that may adversely impact business performance and reputation. The emergence of AI has presented an opportunity to address this problem by leveraging advanced algorithms and data-driven decision-making.

Attendees can expect to gain valuable insights into how AI can be leveraged to make unbiased and ethical decisions, and the impact of AI-driven decision-making on businesses and society. They will learn about best practices for implementing AI into decision-making processes across different industries, including finance, healthcare, and retail.

A 2Chat is much like an informal coffee break—a chance to connect and engage in open conversation, sharing current work, ongoing challenges, and what makes you excited for the future of the cloud.

  • At From Data to Decisions: Overcoming Challenges in AI-Driven Decision Making, our speaker will focus on:
  • The potential and limitations of AI in decision-making processes across industries
  • Ethical considerations in AI-driven decision-making and the impact on businesses and society
  • Strategies to overcome challenges, such as data quality issues, algorithmic bias, and lack of transparency
  • Best practices for successful implementation of AI into decision-making processes in different industries
  • Real-life experiences and challenges the panelists faced in implementing AI for decision-making and how they overcame them

Visit our previous content about AI & Machine Learning or Financial Services and join the C2C Financial Services Community to continue the conversation.


  • Michael Beal

    Data Capital Management