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What Tools Do You Need To Manage Unstructured Data?

Smart Data Collective

Unlike defined data – the sort of information you’d find in spreadsheets or clearly broken down survey responses – unstructured data may be textual, video, or audio, and its production is on the rise. Once businesses can see “inside” their unstructured data, there’s a lot to explore. Collaboration Considerations.

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AstraZeneca’s Axial Transformation: A Digital Backbone for Innovation

Timo Elliott

Russell Smith, Vice President ERP Transformation and Ade Welsh, Senior Director, Head Of Solution Design & Delivery gave the keynote presentation at the Birmingham event. Here are the key lessons learned so far: Russell Smith and Ade Walsh of AstraZeneca presenting at UKISUG Connect 2024 1.

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Plant Seeds for Future Growth: What to Expect at TIBCO Analytics Forum 2021

TIBCO

This year, embrace the spirit of spring at the TIBCO Analytics Forum (TAF) 2021 by learning about new analytics and data management technologies and approaches and how to foster growth in the coming years. Join us and invest in growing the value of your analytics and data management programs. Spring forward: register now!

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Blockchain-based Platform for COVID-19 Vaccine Traceability

GAVS Technology

While tracking the supply chain of any commodity in general and pharmaceutical products, in particular, is always complex, the COVID-19 vaccine poses tougher challenges. Even before the pandemic, Blockchain with its built-in ability to provide transparency across stakeholders has been a major platform for pharmaceutical traceability.

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Empowering Manufacturing with AI: Selecting the Ideal Automated Shipping Document Data Extraction Tool 

Astera

How Automated Shipping Document Data Extraction is Reframing Manufacturing AI-powered tools are proving to be more than just functional assets, rather they are becoming the linchpins of a robust and efficient data management strategy in the industry.

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The Future of AI in Healthcare: Trends and Innovations

Cprime

By leveraging AI and big data, healthcare providers are able to offer more accurate, effective, and individualized care, enhancing patient outcomes and the efficiency of medical treatments. The integration of AI in healthcare presents both significant challenges and opportunities for patient privacy and data security.