What is your biggest concern with deploying AI in your data and analytics workflows?
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Practice Head, Cognitive AI in Bankinga year ago
Tech debts and self awareness on skills gap.Director of Data Risk in Banking5 months ago
data governance and data security concerns due to expansion of datasets (such as semi-structured and unstructured datasets) and using third-party solutions to run AI on top of enterprise dataData & AI Practice Lead4 months ago
Data Quality and Data Security are our biggest concerns when it comes to deploying AI in our data and analytics workflows. However, we are actively taking steps to address these issues. By implementing robust data management practices and enhancing our security protocols, we are working diligently to ensure that our data is both high-quality and secure. These efforts will help us leverage AI technologies more effectively and safely, enabling better decision-making and enhanced business outcomes.VP of Data4 months ago
The biggest concern with deploying AI in your data and analytics workflows as per experience in last couple of years:1. People & Process Alignment - The output of AI should be integrated into existing Processes . The Process will always have an owner in an enterprise setup. Hence while developing the AI outcome, its the responsibility of the AI team making sure work very closely with the Process & People towards defining the entire cycle.
2.Data Strategy : The core of the AI is data. The right data from right system drives right expected outcome. Having process & people aligned and in the journey they will help direct to right data , right outcome, right biz rule and right system of records.
3.Change Management : The AI integration into process is a change. Its a change to System , Workflow and Human behavior . Normal human resist change .Its very critical to manage the change making sure its being positioned as an Enabler rather something that might take their job.
To summarize the biggest concern are : People & Process Alignment , Data Strategy, Change Management
Data Strategy and Governance Director in Education4 months ago
The biggest concern I have is the expectation to use AI as a solution in search of a problem. It is important to have a business value driver for deploying AI in data analytics workflows. All the other valid concerns related to people, process and change management can fall into place through once there is a defined well recognized value that the organization needs.
Data quality, security and other data management enablers are huge challenges that need resourcing dedicated time e.g. time needed to define quality, monitor, fix in upstream systems. Without a value driver, it's been tough to get dedicated time of business areas to work through these challenges.