Driving Business Transformation Through AI: Can your Data be Trusted?unwiredcp
To meet the complexity of global challenges during uncertain times, data agility is critical to maintain a competitive advantage in the market. As businesses start to scale the use of AI as a transformative power to innovate and be more efficient, they have to manage the risks that come with it.
Almost 89% of businesses report that they struggle with managing data. These struggles include delays in insight and a lack of trust in the underlying data.
Leaders are seeking new ways to manage the pressures of delivering trustworthy and high-quality data faster across their businesses. They also realize the need to automate and drive efficiencies with their processes, workflows and data pipelines—to result in improved data quality.
IBM DataOps capabilities help create a business-ready analytics foundation by providing market-leading technology that works together with AI-enabled automation, infused governance, data protection, and a powerful knowledge catalog to operationalize continuous, high-quality data across the business
Join us to find out how IBM DataOps can help you –
- Organize your data for trustworthy insights and AI implementations
- Identify and reduce risk and compliance concerns stemming from data
- Improve data usage by discovering and integrating it from multiple silos
Vamshi Krishna Vattem
Chief Technical Architect – Data and AI