If you think AI and analytics are better apart, you may be missing out on some valuable opportunities. I was shocked recently while gathering background information for a short e-book I co-authored with Ellen Friedman, AI and Analytics at Scale: Lessons from Real-World Production Systems , to find that some people still think large-scale analytics projects and AI projects should be siloed and segregated.
For years we've observed real-world enterprises across many sectors that benefit by co-locating analytics – even legacy analytics – together with modern AI and machine learning projects. Furthermore, if you can't put analytics and AI together, it's a signal that you don't have a scale-efficient system, and that you have a substantial amount of avoidable technical debt.
Graph Analytics Powers Insights in Financial Services
When a new technology emerges, financial services firms often are among the first adopters. Anything that can provide banks, investment houses, or insurance companies a competitive edge is given a shot. So it's not surprising to see that graph databases and graph analytics are starting to flourish in financial services.
Graph database provider TigerGraph held its annual Graph + AI Summit last week, and several of its customers and partners in the financial services shared their experiences with the database and graph analytics and AI in general.
Pinterest for Business: How to View Analytics on Mobile
Did you know that Pinterest allows users with business accounts to view analytics about their accounts from within the Pinterest mobile application? This allows them to view data related to impressions, engagements and so on. Our guide will show you how to view this data.
OmniIndex set to revolutionize the utilization of data analytics in healthcare
LOS GATOS, Calif. , April 27, 2021 /PRNewswire/ -- OmniIndex, the leading file analysis provider bringing analytics to unstructured data, is to target the growing healthcare sector with its platform which enables healthcare providers to analyze data from their imaging devices as well as other vendor neutral archives.
Images contain a wealth of information for clinicians and not just about the patient but the devices itself. Patient data includes what type of scan, when they were carried out, and which clinician was in charge. Device management is also facilitated in terms of device utilization and gaining insight into procedures undertaken.
Using Data Analytics to Enhance Patient Engagement, Outreach
April 27, 2021 - To ensure quality care delivery, patients must be active participants in their own health and well-being. Patient engagement is a critical part of the healthcare industry, and it’s essential for entities to keep patients involved in care processes.
“We've been a partner of Cipher for a couple of years now, and the pandemic really accelerated our partnership,” Patrick McGill, MD, EVP and chief analytics officer at Community Health Network, told HealthITAnalytics .
Solution to Accelerate analytics on industrial data | ARC Advisory
Seeq Corporation announced a new offering on Amazon Web Services (AWS) to accelerate access to manufacturing data for enabling AWS analytics on industrial data. The Seeq AWS Glue integration for Enterprise Historians, available on AWS Marketplace, simplifies industrial data discovery and migration to the AWS cloud using Seeq's proven historian data access architecture.
Seeq also announced the completion of its SOC2 Type 1 certification. SOC 2 compliance is a critical consideration for companies evaluating SaaS applications to ensure vendors have the appropriate controls to protect data handled on their systems.
Location data analytics startup Placer.ai raises $50M Series B – TechCrunch
It's been a very tough year for Placer.ai 's core customer segments of retail and commercial real estate, to put it mildly. But the foot traffic and location analytics startup saw growth in new categories, including consumer packaged goods (CPG) and hedge funds that use its tech to perform due diligence.
The new capital will be used on research and development and expanding Placer.ai's sales and marketing teams. Its last funding announcement was in January 2020 for a $12 million Series A.
Predictive Analytics Tool Accurately Detects Patient Deterioration
April 27, 2021 - Researchers from Michigan Medicine have developed a predictive analytics model that can accurately identify patient deterioration for both general ward and COVID-19 patients.
The algorithm was more accurate than the Epic Deterioration Index (EDI), an existing tool used for patient deterioration investigation.
In a study published in JMIR: Medical Informatics , researchers describe the development and performance of the Predicting ICU Transfer and other Unforeseen Events (PICTURE) algorithm.
Carnegie Mellon aiming for foundational approach with new analytics program | Pittsburgh
Happening on Twitter
The broad power of #MEC is now being leveraged across major #MNOs. Current use cases include #healthcare and… https://t.co/uA5TT3LtSO SamsungNetworks (from Plano, Texas) Tue Apr 27 19:31:17 +0000 2021
Just to clarify, we are a group of sports tech & media companies. This is not what we usually do and our platform i… https://t.co/jJbcF6CcdH Dantani (from Abu Dhabi) Wed Apr 21 13:23:00 +0000 2021
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