Research Resources – Whitepapers

Enterprises choose to migrate their workloads to the cloud to gain benefits from app modernization as well as opportunities for further growth. By doing so, they will introduce new features and capabilities that will improve the user experience and will also help them attain greater agility for better responding to marketplace changes and evolving user [...]

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Improving IT resiliency and maintaining business continuity are more important than ever for any enterprise in the digital era. The flexibility and agility of the cloud makes it an optimal solution for maintaining business continuity. The cloud can mitigate risks of downtime, ensuring continuous business operations. In fact, most IT decision-makers are looking at the [...]

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IBM is named a leader in The Forrester Wave™: Multimodal Predictive Analytics and Machine Learning, Q3 2020. Developing AI at scale requires advanced data science and machine learning. Automating the AI lifecycle can streamline operations, speed deployment, and increase model production and accuracy. In Forrester’s 26-criterion evaluation of multimodal predictive analytics and machine learning (PAML) [...]

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What can companies do to ensure that their AI models are trusted and unbiased, and what is the return on investment from developing transparency in AI? IBM Cloud Pak for Data is an integrated data and AI platform that explains, validates, monitors and mitigates bias in AI models as part of the end-to-end AI lifecycle. [...]

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With AI expected to bring $13 trillion¹ to the global economy in the next decade, business leaders are increasingly making AI an integral part of the organization. But complexities in data management, scarcity of AI skills and lack of trust in AI systems can hinder efforts to successfully infuse AI across the enterprise. Netezza Performance [...]

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