Project Management

Please login or join to subscribe to this thread

Evaluating AI tools for organizations

linkedin twitter facebook   Artificial Intelligence   Lessons Learned   Procurement Management  
avatar
Masha Nehme IT Program Manager| Central Health Austin, Tx, United States
Can you share best practices and lessons learned around evaluating and implementing AI tools for your organization? How is/was this different from evaluating or implementing just any other technology vendor? 
Sort By:
< 1 2 >
avatar
Masha Nehme IT Program Manager| Central Health Austin, Tx, United States
Apr 04, 2024 3:06 PM
Replying to Candice Shubbie
...
From my vantage point of view as a consultant working with different companies, I find that organizations who work with more antiquated systems are struggling to update their legacy systems and procedures with basic technology, while more advanced companies are hyper focused on AI at the moment. As a PM, I see the evaluation, implementation, and management of these projects as one in the same.
Thank you, Candice! I have a similar observation having worked with both large companies and small-to-medium size ones - the process for evaluating a new tech tool is the same. The smaller, tech-savvy companies are very focused on incorporating GenAI tools and are more risk-tolerant than the large corporations, but everyone seems to be struggling with focusing on a specific approach long enough so that they can see some results. So many new shiny things to chase!
avatar
Sudhakar Mokshagundam PM III| Siemens Energy India Limited Bangalore, Karnataka, India
Hi Masha
In our company the AI is still budding up, we are mainly using for finance data modeling etc. We are yet to bring it into technology applications..

br/Sudhakar
avatar
Booma Pugazhenthi Program Manager| United Nations
When evaluating and implementing AI tools for organizations, it's crucial to define clear objectives and assess data readiness. Conducting a Proof of Concept allows for testing the effectiveness of the tools and identifying potential challenges early on. Ethical and regulatory implications must be considered, including data privacy and bias mitigation. Providing user training and implementing change management strategies are essential for successful adoption within the organization's culture. Continuous evaluation and improvement post-implementation ensure optimal performance and alignment with organizational goals. Comparatively, evaluating and implementing AI tools differ from traditional technology vendors due to the complexity of algorithms, heavy reliance on data, dynamic nature, and considerations of interpretability and explainability.
avatar
Sergio Luis Conte Helping to create solutions for everyone| Worldwide based Organizations Buenos Aires, Argentina
AI is a boarder term. Tools are using AI from long time ago. More than 40 years. Just the new architecture of generative AI tools (like ChatGPT) changed the game because you need to add some roles like lawyers, linguistic, diversity and inclusion subject matter experts to your team. So, if you ask me, my recommendation is taking a look to the two courses delivered by the PMI for free because, when they are mostly based on generative AI, I think they will help a lot on answer your question.
< 1 2 >

Please login or join to reply

Content ID:
ADVERTISEMENTS
ADVERTISEMENT

Sponsors







Vendor Events

See all Vendor Events

Newsletters

Jun 3: The Career Problem Facing New PMs
May 20: Your PM Career as a Project Life Cycle
May 13: The Big Lie After Layoffs

See all newsletters