MagmaLabs

APRIL 25, 2023

The most prominent industries for AI adoption in organizations include high-tech and telecommunications, financial services, and healthcare and pharmaceuticals. Big Data The term “big data” is used to describe large and complex data sets. Crucially, big data cannot be analyzed using traditional methods.

Trends 52

Trends eCommerce Artificial Inteligence Software 52

MagmaLabs

APRIL 25, 2023

The most prominent industries for AI adoption in organizations include high-tech and telecommunications, financial services, and healthcare and pharmaceuticals. Big Data The term “big data” is used to describe large and complex data sets. Crucially, big data cannot be analyzed using traditional methods.

Trends 52

Trends eCommerce Artificial Inteligence Software 52

TIBCO - Connected Intelligence

APRIL 27, 2021

The analytics and data management event of the year is now only a month away! The 2021 TIBCO Analytics Forum (TAF) is a must-attend event for any analytics professional who wants to transform their data into real business value. Reading Time: 4 minutes. Engage with passionate guest speakers.

Analytics 26

Analytics Virtualization Pharmaceuticals Artificial Intelligence 26

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: .

Artificial Inteligence 45

Artificial Inteligence Data Machine Learning Pharmaceuticals 45

Exadel

APRIL 27, 2023

The amount of data which banks needed to process was huge and hard to track manually. RegTech filled that gap and provided machine learning and predictive analytics tools to prevent fraudulent activity. AI solutions operate with big amounts of data, make predictions and identify patterns.

Banking 52

Banking Report Compliance Fintech 52

Openxcell

NOVEMBER 27, 2023

Some of the up-and-coming trends are : Artificial Intelligence (AI) & Machine Learning (ML) Big data, virtual reality, artificial intelligence, machine learning, and chatbots for pharmaceutical firms are no longer futuristic concepts but rather an integral part of our reality. Given is a graphical representation of the same.

Development 52

Development Healthcare Artificial Inteligence VR 52

TIBCO - Connected Intelligence

JULY 22, 2020

Data and analytics can help guide our community actions. The pandemic has highlighted the need for sound data science, visual analytics and data management methods, and the infusion of these skills and literacy into broader groups of users—in companies and the population at large,” says Michael O’Connell, TIBCO Chief Analytics Officer.

Analytics 47

Analytics Analysis Study Pharmaceuticals 47

CIO

FEBRUARY 23, 2023

“If we want to beat competition in the pharmaceutical industry, we must make use of next generation of technologies such as cloud, big data, and analytics. As Akums is the only pharmaceutical company in Haridwar, “OEMs don’t want to come to handle just a single client,” Mishra says. “We

Pharmaceuticals 258

Pharmaceuticals Travel Technical Review Training 258

CIO

AUGUST 18, 2023

Defined as quantifiable and objective behavioral and physiological data collected and measured by digital devices such as implantables, wearables, ingestibles, or portables, digital biomarkers enable pharmaceutical companies to conduct studies remotely without the need for a physical site.

Cloud 240

Cloud Pharmaceuticals Study Off-The-Shelf 240

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.

Data 348

Data Artificial Inteligence Technical Advisors Technical Review 348

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.

Generative AI 40

Generative AI Healthcare Artificial Inteligence Technical Review 40

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.

Healthcare 64

Healthcare Internet IoT Systems Review 64

TechCrunch

SEPTEMBER 7, 2021

Seqera was spun out of the Centre for Genomic Regulation, a biomedical research center based out of Barcelona, where it was built as the commercial application of Nextflow , open source workflow and data orchestration software originally created by the founders of Seqera, Evan Floden and Paolo Di Tommaso, at the CGR.

Data 200

Data Machine Learning Artificial Inteligence Pharmaceuticals 200

Toptal

NOVEMBER 30, 2017

However, a solution could be data analytics, which enhances and accelerates drug development. This article examines the current state of drug development, and how big data can improve its different components: drug discovery, clinical trial design, and adverse drug reaction detection.

Big Data 75

Big Data Pharmaceuticals Data Analytics 75

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.

Healthcare 52

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.

Pharmaceuticals 46

Pharmaceuticals Data Big Data Systems Review 46

Kentik

FEBRUARY 29, 2016

That book discussed how over 400 large companies in traditional industries such as finance, manufacturing and pharmaceuticals are making that transformation. Analytics to monitor the online pricing of its rivals and to adjust its own prices in real time.

Analysis 40

Analysis Agile Fashion Pharmaceuticals 40

Trigent

JUNE 21, 2021

For the range of supplies labeled as perishables, particularly pharmaceuticals and food (produces), quality expires with time as they maintain chemical reactions, which can mostly be alleviated with lower temperatures. The use of real-time data enables real-time analytics and response. Every delay can have negative consequences.

Technical Review 98

Technical Review Technology Transportation Pharmaceuticals 98

Capgemini

OCTOBER 9, 2020

The availability of big data tools and data sciences with their potential to unlock the R&D process makes these skills even more critical. Plus some rigid data discovery platforms can struggle to be sufficiently responsive to the rapid cadence R&D drug discovery processes demand.

Data 98

Data Artificial Intelligence Artificial Inteligence Pharmaceuticals 98

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.

Healthcare 52

Healthcare Trends Technical Review VR 52

Cloudera

FEBRUARY 3, 2021

With streaming data, analytics, machine learning, and the cloud, organizations can increase operational efficiency and better manage supply chain creation, as well as disruption. Leveraging all data sources and breaking down the silos that prevent data consolidation allows advanced predictive analytics.

Data 103

Data Agile Analytics Transportation 103

Altexsoft

MARCH 24, 2021

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. Follow the links below for more information.

Tools 69

Tools Healthcare Insurance Video 69

CTOvision

APRIL 6, 2017

In E-Commerce, Small Data = Big Data and Vice Versa. Big Data, small data and everyday data: Is there a meaningful difference between these three information carriers nowadays? Understanding Big Data. Big Data, Small Data and E-Commerce. How Small Data is Created.

Big Data 69

Big Data Data Fashion Pharmaceuticals 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.

Company 11

Company Development Team Review Real Estate Technical Review 11

Altexsoft

NOVEMBER 10, 2022

Bioinformatics – a modern area of study that sits between biology, medicine, mathematics, and computer science – is using complex software and big data analysis to understand the disease better than it was ever possible, and is succeeding at that. clinical data (phenotype) related to primary tumors from 11,158 patients.

Analysis 52

Analysis Data Study Technical Review 52

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.

Virtualization 69

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.

Weak Development Team 64

Weak Development Team Machine Learning Artificial Inteligence Software Review 64

Datica

JUNE 17, 2019

It’s big data management, it’s data governance, it’s carefully selected tools, and it’s the combination of these things that allows the first real steps to interoperability and more effective patient care. Healthcare Interoperability is the ever-elusive effort for enterprises to pursue. Divya Malhotra. Cindy Mallory.

Healthcare 40

Healthcare Blockchain Technical Review Systems Review 40