What do you think will be the biggest hurdle in a successful AI implementation this year? How are you planning to overcome that hurdle?
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Director, Experience Design in Education6 months ago
This year, we're focusing on more pragmatic experiments where data quality risks are lower. We're looking at AI enablement pieces for our contact center and using conversational AI to support learners on our website. Our major challenges are cost and internal capacity. We're in the early stages of using AI and haven't yet built the institutional knowledge on how to use, develop, deploy, and maintain it. We plan to overcome this through smaller scale experiments and build from there in future years.Enterprise Architect6 months ago
We're still in the early stages of AI implementation too, facing challenges with legal and regulatory aspects. This is the first time that the entire C-Suite needs to be involved, including legal, regulatory, privacy, and financial departments. The risks are high, and the impact of a breach could be detrimental to the brand. Microsoft is setting a good example by stepping in to help with risk management. It's crucial that everyone, from the development team to the C-Suite, is educated and comfortable with the process.
Director of Systems Operations in Healthcare and Biotech6 months ago
One of the most significant challenges in AI implementation is data governance. Many organizations are ingesting vast amounts of data, but the management, sanitization, and bias-checking of this data often fall short. The challenge lies in ensuring the data results are realistic and accurate, not skewed due to the data ingestion process.Head of Corporate Development in Software4 months ago
I believe there will be desire to do a lot with AI, but you will run into logistical challenges - not enough resources ($$ or people), not clear direction or roadmap, data quality if you are building your of LLM. I think it will be important to choose carefully because there are so many options. I would suggest choosing based on strategic priorities.