Leverage the Potential of AI in an Enterprise
Increase Your Chances to Apply AI Successfully
As a manager, you know that Machine Learning (ML) can be an incredibly powerful tool for your enterprise. But how do you put it to use efficiently and effectively?
This is a question many organizations are asking as they explore the possibilities of ML. Fortunately, there are some key steps that any organization can take to ensure their ML initiatives yield positive results.
First and foremost, organizations must understand why they’re investing in ML in the first place — what problem does it solve or what opportunity does it open up? Without this knowledge upfront, projects may end up being unfocused or misguided from the start. Once this purpose has been identified, organizations should develop clear objectives with measurable outcomes so progress can be tracked over time. OKRs are an incredibly powerful tool for managers and product managers to set goals, track progress, and measure success. Taking a course on OKRs will provide you with the know-how to maximize their potential in your organization. This will allow teams to make course corrections if needed along the way and ensure resources aren’t wasted on fruitless endeavors.
Another important step is ensuring data quality before embarking on any project involving machine learning algorithms — without reliable data sets no amount of computing power will produce accurate insights! Organizations should also have realistic expectations about timelines and costs associated with these types of projects; while AI/ML solutions offer tremendous potential for businesses looking to gain competitive advantages over rivals but implementing them takes time & money which need planning accordingly beforehand. Finally, businesses need select appropriate technology partners who not only possess technical expertise but also share similar organizational values & goals. This helps create trust between both parties which ultimately leads successful implementations .
By following these simple steps, enterprises utilizing Machine Learning technologies stand better chance at achieving desired outcomes quickly & cost-effectively.
About Tobias Faiss
Tobias is a Senior Engineering Manager, focusing on applied Leadership, Analytics and Cyber Resilience. He has a track record of 18+ year in managing software-projects, -services and -teams in the United States, EMEA and Asia-Pacific. He currently leads several multinational teams in Germany, India, Singapore and Vietnam. Also, he is the founder of the delta2 edventures project where its mission is to educate students, IT professionals and executives to build a digital connected, secure and reliable world and provides training for individuals.
Tobias’ latest book is ‘The Art of IT-Management: How to Successfully Lead Your Company Into the Digital Future’. You can also contact him on his personal website tobiasfaiss.com
