Companies modernize their data infrastructure as part of AI initiatives to obtain competitive advantages. How can technology suppliers help companies resolve data management challenges?
Business Continue a range of AI initiatives and the modernization of the data infrastructure is at the top of the list. But current data practices are a problem, because several companies have not reached a high level of sophistication with crucial aspects linked to data. A Deloitte study of AI adopters finds that companies are faced with challenges in critical aspects of data management: preparing and cleaning data, integrating data from various sources, training of AI models and ensuring data governance.
In the last of Deloitte AI state in the company The survey, at least 40% of adopting organizations, reported a level of “low” or “average” sophistication through a range of data practices.1 In addition, nearly a third of managers have identified challenges related to data among the first three concerns hindering the initiatives of their business.
East cleaning data Really so difficult? Research suggests that, in fact, cleaning raw and inaccurate data before feeding them in an AI model is a heavy process. For example, companies now go up regularly from six to 12 months cleaning data.2 Cleaning data is vital because the cost of adjusting poor data increases considerably later in the process.3
Data preparation requires perseverance and disciplined execution. Data specialists spend a large part of their work week to prepare data for AI / Automatic ASS analysis and initiatives (IA / ML).4 While more and more organizations move their workloads in AI to a cloud environment, data integration The challenges are intensifying. Some of the most common obstacles to access third -party data sources include the processing of disparate data that exists on different systems and fusion of data from various sources.5 For all these efforts, good talent and expertise can be critical. Often, IA / ML initiatives fail mainly due to lack of expertiseIn addition to other major factors which include the unavailability of data ready for production and the integrated development environment.6
To add to these problems, data governance is rapid importance as a problem problem. A 2019 study revealed that more than half of the organizations did not have a formal governance framework of data and a dedicated budget to solve the problem.7 And even as a regulatory examination has intensified worldwide, Deloitte State of AI The survey reveals that leaders “very concerned” by a lack of data policy for the use of personal data. A shortage of specialists and difficulties in developing a complete data strategy are among the main challenges hindering data governance efforts.8
If these various data management and governance problems are not discussed from the start, deeper problems could emerge later to fracture AI initiatives. AI technology suppliers can play a role in business support to navigate shortcomings related to data practices by:
- Align the data strategy with commercial results, Work with adopting organizations to clearly understand the needs of the company, the AI profitable analysis and data management needs
- Bring a multidisciplinary team Including specialists in AI / Technical, commercial, commercial, regulatory and domain to establish data practices and a strategy that align with the objectives and commercial results of customer organization
- Build an AI solution based on evolutionary data, Considering all potential end users (employees, customers, business partners) of AI systems and global IT infrastructure (on site, cloud, owner, open-source)
These steps can allow adopting organizations to develop an AI strategy based on holistic data that evolves with and adapts to their changing needs and requirements. As Paul Silvergate, the leader of the American technology sector of Deloitte LLP, notes, “gleaning information from data – then a competitive advantage of this information – refuses a clear vision of the place where the company takes place, coupled with a tight link between the company and IT.”