The Future of AI in Commerce with Deeksha Chugh from Square

Challenges

Deeksha Chugh from Square discusses the significant challenges in implementing AI and machine learning, emphasizing the need for proper education within the company. Many employees either misunderstand AI's capabilities or overestimate its potential, leading to unrealistic expectations. Deeksha highlights the importance of having the right data and infrastructure to support AI initiatives.

The biggest challenge I think so far we face with implementing AI and ML is around people, not just at Square, but I think at other companies that I've also worked for.

--- Deeksha Chugh

She also notes that while technology-related challenges are solvable, investing in infrastructure is crucial for maintaining data quality and ensuring ongoing model maintenance 1 2.

   

Investment

Deeksha shares advice for companies looking to invest in AI, stressing the importance of solid data foundations. She recommends starting with high-quality data and simple heuristics before moving on to complex models. Defining clear optimization metrics is also crucial for achieving desired business outcomes.

Everything boils down to your high quality data.

--- Deeksha Chugh

She also mentions that the landscape is shifting towards generative AI, which offers opportunities for improving internal processes and creating personalized customer experiences 3 4.