All Research Sponsored By:Domino
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AI leaders reveal what works in the modern AI era
As AI investments surge, enterprises must navigate the complexities of GenAI and AI governance. This eBook explores strategies for implementing GenAI, scaling AI initiatives, and achieving AI innovation and competitive advantages. Read the full eBook to learn how AI leaders are leveraging AI's potential.
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IT considerations for machine learning-powered research
Explore the IT considerations for leveraging machine learning in research workflows. Learn how to build scalable data platforms, implement reproducible pipelines, and deploy production models. Download the EBRIEF to discover best practices for bridging the gap between data management, analytics, and MLOps.
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The 5-step generative AI value playbook
Learn the 5 key steps to unlock the value of generative AI for your organization. Discover strategies to drive innovation, enable collaboration, operationalize AI, and more. Read the full eBook to get started.
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How companies successfully leverage pharma and R&D platforms
Life sciences companies are prioritizing digital transformation to accelerate drug discovery and development. Learn how a unified platform can enable collaboration, data governance, and reproducibility to drive innovation. Check out the eBook to learn more.
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Accelerate R&D with Domino for Life Sciences
Domino for Life Sciences is a unified, audit-ready platform that combines R&D tools and governance capabilities to accelerate discovery, clinical, and commercial workflows. Read the full product overview to learn how you can streamline compliance, enable collaboration, and simplify post-hoc analyses and AI/ML workloads.
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4 key strategies for modernizing drug discovery and pharma with AI
Discover 4 key strategies to modernize drug discovery and the pharmaceutical industry with AI, including overcoming challenges around data, collaboration, reproducibility, and cost control. Learn how a unified AI platform can drive breakthroughs and accelerate time to market. Read the white paper.
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Top Five AI Considerations for Chief Data and Analytics Executives White Paper
Hybrid cloud has created new opportunities in enterprise data science by breaking down silos between cloud and on-prem environments while maintaining compliance and fostering collaboration at the same time. Read on to discover 5 key considerations that you should have in mind when designing your AI/ML stack for the hybrid future.
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TDWI Playbook: Strategies and Practices for Responsible AI. Sponsored by Domino, AWS, NVIDIA
As the AI landscape rapidly evolves, how can you ensure that your organization’s approach to AI is responsible? In this 18-page e-book “Strategies and Practices for Responsible AI,” unlock insights from Vice President and Senior Director of TDWI Research for advanced analytics, Fern Halper, Ph.D.
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Embracing Flexibility and Innovation to Modernize Clinical Trial Analytics and Reporting
In this webcast, you’ll discover how GSK was able to upgrade from their legacy environment to support employees and accelerate the drug development process. Tune in now to discover lessons learned in their transformation journey and find out how embracing flexibility and innovation can help you modernize clinical trial analytics and reporting.
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The Definitive Guide to Cost-Effective AI
To succeed in this AI-centric business world, it is important to not only leverage the power of AI but to do so responsibly and cost-effectively. In this e-book, you will discover the importance of a data science and AI platform’s role in optimizing ROI. Read on to learn how you can build trust and reputation with customers and stakeholders.
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Responsible Generative AI Reap the Rewards, Manage the Risk
You’ve heard about the massive potential of GenAI. But GenAI also poses many critical challenges and risks for your organization, including a skills gap as well as extreme demands on your computing infrastructure. Download this white paper now to discover key considerations in creating a responsible GenAI strategy.