Cloudera

SEPTEMBER 12, 2018

It’s a big week for us, as many Clouderans descend on New York for the Strata Data Conference. The week is typically filled with exciting announcements from Cloudera and many partners and others in the data management, machine learning and analytics industry. Technical Impact. Enterprise Machine Learning: .

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Artificial Inteligence Data Machine Learning Pharmaceuticals 45

Altexsoft

APRIL 23, 2021

This data is an inevitable part of a cohesive ecosystem known as the Internet of Medical Things (IoMT). We’ve already addressed the subject of IoMT in our article devoted to the role of Big Data in healthcare. Modern platforms employ many technologies such as cloud computing, databases, and big data processing modules.

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Healthcare Internet IoT Systems Review 64

John Snow Labs

FEBRUARY 29, 2024

Furthermore, Gen AI could revolutionize health insurance prior authorization and claims processing, converting unstructured data into structured formats and providing near-real-time benefits verification​​. Leveraging Big Data : The power of Gen-AI in healthcare largely comes from its ability to analyze and generate insights from big data.

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Generative AI Healthcare Artificial Inteligence Technical Review 40

CIO

AUGUST 18, 2022

The giant pharmaceutical chain had put its lakehouse in place to address just such challenges in its quest, to, as Guadagno puts it, “To get the right product in the right place for the right patient.”. Previously, Walgreens was attempting to perform that task with its data lake but faced two significant obstacles: cost and time.

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Data Artificial Inteligence Technical Advisors Technical Review 350

Xicom

JULY 21, 2020

Thus, it’s difficult to overstate the way big data has transformed many industries. Once, consultant Geoferry Moore put it – “Without Big Data analytics, companies are blind and deaf, wandering out onto the web like deer on a freeway” And, one such big benefit is predictive behaviour.

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Healthcare Analytics Technical Advisors Analysis 52

Cloudera

JUNE 4, 2018

That’s the equivalent of 1 petabyte ( ComputerWeekly ) – the amount of unstructured data available within our large pharmaceutical client’s business. Then imagine the insights that are locked in that massive amount of data. Ensure content can be reused within the data hub to support pharmaceutical use cases.

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Pharmaceuticals Data Big Data Systems Review 46

Openxcell

MARCH 22, 2023

The healthcare industry gains a lot from integrating cutting-edge technology like AI, Big Data, and IoT. Technology such as Big Data, IoT, Web 3.0, Rapid diagnosis and treatment result in high levels of patient satisfaction and patient data retention. AR/VR, and PaaS/SaaS contribute to digital transformation.

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Healthcare Trends Technical Review VR 52

Altexsoft

MARCH 24, 2021

Follow the links below for more information. Medicine and drug data APIs connect health systems and apps to publicly available FDA data, descriptions of drugs and supplements, pharmaceutical knowledge bases, standard terminology, and more. FHIR Store API to manage clinical data in a FHIR database.

Tools 69

Tools Healthcare Insurance Video 69

Xicom

AUGUST 13, 2019

Xicom understands that today’s organizations face many challenges in their digital evolution journey and having expertise in emerging technologies like AI, Blockchain, IoT, AR/VR, Big data & Analytics and Cloud computing it delivers solutions that meet challenges. Net Desire Technologies was founded in 2013.

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Company Development Team Review Real Estate Technical Review 11

Altexsoft

NOVEMBER 23, 2021

But this data is all over the place: It lives in the cloud, on social media platforms, in operational systems, and on websites, to name a few. Not to mention that additional sources are constantly being added through new initiatives like big data analytics , cloud-first, and legacy app modernization.

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Virtualization Tools Data Architecture 69

Altexsoft

MARCH 30, 2023

But what do the gas and oil corporation, the computer software giant, the luxury fashion house, the top outdoor brand, and the multinational pharmaceutical enterprise have in common? The answer is simple: They use the same technology to make the most of data. Shell, Adobe, Burberry, Columbia, Bayer — you definitely know the names.

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Weak Development Team Machine Learning Artificial Inteligence Software Review 64

Datica

JUNE 17, 2019

While the benefits are clear, obstacles such as ensuring the security of personal health information (PHI) and integration challenges mean it’s not possible to simply share data freely across the industry. It’s essential for healthcare organizations to embrace an easy-to-use security solution that works for everyone.

Healthcare 40

Healthcare Blockchain Technical Review Systems Review 40