What do you do if your team managers are unaware of the emerging trends and technologies in machine learning?

When your team managers seem out of the loop on emerging trends and technologies in machine learning, it's time for some tactful education. Initiate casual conversations or set up dedicated knowledge-sharing sessions where you gently introduce new advancements, sharing relevant articles, case studies, or industry reports. Offer to lead lunch-and-learns or brown bag sessions focusing on key ML topics, ensuring information is digestible and applicable to your team's context. By fostering an environment of continuous learning and gently nudging your managers towards the forefront of ML innovations, you empower your team to stay competitive and adaptable in the ever-evolving tech landscape.

An effective approach to raise awareness is to educate managers on the potential impact on the business. This can be done through a clear, concise presentation on how AI can drive innovation, optimize operations, and create competitive advantages in short/medium/ and long term. You can use case studies and data to illustrate the benefits and ROI that similar companies have achieved through their adoption. Additionally, performing competitive analysis to highlight how industry leaders are leveraging AI to stay ahead is another great strategy.

One of the effective ways to encourage your managers is competitive analysis. Show what other groups and companies in your industry are doing. Highlight their innovations, and emphasize the urgency of staying updated.

Incorporate the habit of daily reading into your routine to foster a culture of continuous learning. Devoting at least 30 minutes a day to reading can prevent knowledge gaps and promote ongoing growth within your team. Encourage managers and team members to join in and actively participate in sharing insights and learnings through various means such as meetings, coffee breaks, or email exchanges. By creating these regular opportunities for knowledge exchange, you can ensure that everyone stays updated on machine learning trends. Embracing this habit will keep the team proactive in their professional growth.

In advocating for new technologies, I took a strategic approach: ?? Connecting Benefits to Goals: I showed how Databricks could speed up data processing, dbt could make modeling more efficient, and Tableau could bring our data analysis to life, directly contributing to faster project delivery. ?? Evidence Over Claims: I shared success stories and efficiency gains from organizations that adopted these tools, using their experiences to back up my suggestions. ?? Speak Their Language: I highlighted the cost savings, and innovation potential these tools offered to our management, framing them as strategic investments. My strategy was not only to introduce but also to showcase how they could transform our team's approach to ML projects.