Most IT and business leaders are traversing the maturity path of leveraging data to its fullest potential, and in that process they have envisioned a fully automated and governed data platform for their enterprise —one that provides a single version of the truth, is scalable, seamlessly integrates with existing infrastructure, and builds a strong foundation for AI capabilities on top.
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Large language models (LLMs) stand to redefine enterprise AI with GPT, Bard, Gemini, and Llama 2 generating human-like text and catering to knowledge management applications.
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Flow cytometry is a formidable asset for a researcher. By compartmentalizing cells based on set molecular characteristics, flow cytometry provides information on specific cell types from highly complex and populated samples. This technique analyzes thousands of cells per second, allowing researchers to collect huge data volumes in a relatively short time span.
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Clinical trial sites deal with a myriad of tasks right from patient recruitment to capturing patient data, and performing tests/procedures. In addition to facilitating patient interface, these sites also serve as the direct point-of-care for medical concerns.
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Many organizations use legacy mainframe in their datacentres to run critical operations. This age-old system tuned and customized to the functional requirements, locked-in to vendors over the years, has been used extensively across business critical operations.
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The dynamic landscape of the aviation sector seeks better passenger experience, operational excellence and absolute safety. Delay in turnaround operations costs the airline industry billions of dollars each year.
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