Artificial Intelligence (AI) has rapidly become a transformative force across industries, promising to revolutionize everything from customer experiences to operational efficiency ⚡️However, the success of AI initiatives is not guaranteed– it requires more than just cutting-edge algorithms and large datasets (though those are important, too!). Poorly executed AI deployments can lead to unreliable outcomes, wasted resources, huge compute bills, and even reputational damage. To harness the full potential of AI while minimizing risks, organizations must focus on foundational elements like data quality, governance, and infrastructure. This article delves into the key considerations for avoiding these pitfalls.image for representation (source)The Risks and Costs of Ineffective AI DeploymentsAI is cool.