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Suppose that a new data asset becomes available but remains hidden from your data consumers because of improper or inadequate tagging. How do you keep pace with growing data volumes and increased demand from data consumers and deliver real-time data governance for trusted outcomes? #Highlights #Highlights-home #Featured-area-1-home #data-ai-featured-area-1 #Featured-area-1 #data-ai-featured-area-1 #Highlights #Highlights-home
The challenge grows with the adoption in many business sectors of artificial intelligence applications. AI amplifies both the opportunity for deriving great benefit from data but also increases the challenge of maintaining data privacy standards. #Spotlight #Highlights #Highlights-home #data-ai-highlight #data-ai-highlights-home #Medium #data-highlights-home
Now, with the rapid growth of AI in business operations and processes, organizations are wrestling with another governance challenge, and once again, IBM is here to help. AI Governance is the practice of ensuring the safe and responsible development, implementation, and monitoring of AI systems. Although the challenge can seem daunting, IBM is here to help you to embrace the transformative power of AI while monitoring and mitigating risks such as bias, data provenance, and other potential pitfalls. This blog post describes how the data governance capabilities of IBM Knowledge Catalog can work in concert with other IBM solutions to help you manage both data and AI governance in an integrated approach. #data-ai-highlights-home #data-highlights-home #Highlights-home #Medium
Organizations are looking to artificial intelligence (AI) to make better business decisions. AI can help leaders reimagine business models, automate decisions and shape future outcomes. AI also allows people to do higher value work and solve more complex problems. #Featured-area-1-home #CloudPakforDataGroup #Featured-area-1 #Highlights #Highlights-home
Organizations who develop enterprise logical data models with a tool like ERwin Data Modeler, including IBM Industry Models users, can leverage integration with IBM Knowledge Catalog to identify process improvements, reduce costs, increase efficiency, and design well-informed applications. #data-highlights-home #data-ai-highlights-home #Highlights-home #Medium
Instead, accelerate your path to your specific governance vocabularies by customizing one of the predefined, domain-specific vocabularies offered by IBM Knowledge Catalog (IKC). #data-ai-highlights-home #data-highlights-home #Medium #Highlights-home
Avoid data movement and deploy applications across multiple cloud environments to speed business insights AI technologies have the power to deliver critical business insights, but maintenance and implementation can dramatically drain organizational resources. Rather than worrying about maintaining complex analytics and AI tools, business leaders are looking to take actions on the insights those technologies bring. #CloudPakforDataGroup #Featured-area-1 #Featured-area-1-home #Highlights #Highlights-home
Use a predefined dashboard to monitor and deliver insights for your governance framework. #data-highlights-home #data-ai-highlights-home #Highlights-home #Medium
AI-powered data integration for all your multicloud and hybrid cloud environments. Explore use cases including banking and financial services, healthcare, retail & consumer products, and energy & utilities. #ai #banking #Cloud #DataIntegration #DataStage #finance #healthcare #Highlights #Highlights-home #hybrid-cloud #Integration #MultiCloud #retail #Spotlight
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Check out this eBook from Data and AI Virtual Forum 2020 about the people, processes, and technology that will transform your business outcomes. #Spotlight #GlobalDataOps #Highlights #Highlights-home
2802-DataOps_eBook-v4b-FNL.pdf