- Altimetrik has partnered with Frost & Sullivan to release a comprehensive directory aimed at helping businesses overcome data challenges to improve AI strategies.
- The directory offers practical insights on maintaining accurate and reliable data, a crucial factor in driving meaningful business outcomes through AI.
- As AI adoption accelerates across industries, this resource provides valuable guidance for executives looking to enhance data governance and maximize the potential of artificial intelligence for long-term success.
Artificial intelligence (AI) is becoming more than a mere catchphrase in the current age of businesses. Its establishment is functional towards practical ends. Still, this is only possible if the data is accurate and veracity. Understanding this pain point, Altimetrik, in conjunction with Frost & Sullivan, presents Mastering Data Governance with GenAI, a intellectual property to help practitioners level up towards data management. This paper has been prepared to give such organizations insights on how to solve data governance problems.
What is particularly interesting about this directory is that it addresses specific data accuracy and integrity issues that most organizations have to deal with. As much as artificial intelligence systems are necessary for synthesizing data, net errors, irrespective of their size, can result in outsized distortions and arbitrary judgments regarding the business and other immense consequences. According to the directory, companies should not be satisfied with just effective technologies and artificial intelligence models. There should also be an effective system of managing data against which the artificial intelligence models will be employed.
The directory is appreciated for including incorrect representations of GenAI (Generative AI), an advanced technology that simplifies and improves processes related to data governance. GenAI eliminates the redundancy of data collecting and acquisition processes within an organization while ensuring that the collected data concerning AI systems is of great quality and trustworthy. Not only does this enhance the uptake of AI in businesses, but it also reduces the likelihood of incurring future losses due to poor data quality.
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In addition, the collaboration with Frost & Sullivan serves to strengthen the position as they contribute with valuable insights from their research and experience in the area. The directory targets business persons and decision-makers looking forward to taking practical measures to protect data and improve the use of AI. It addresses the controversies from the practice and explains the importance of data management from the perspective of achieving strategic goals in taking advantage of AI.
In doing so, the directory helps achieve all the mentioned objectives to enhance the organization’s AI capabilities and, more importantly, create absolute business values that produce better results. The further development of artificial intelligence will depend on how well companies will be able to structure their own data. With such resources as this guide, it is more than easy to learn how to manage data governance.
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