Trigent

APRIL 27, 2022

The growing concerns in the healthcare industry have put the spotlight on intelligent analytics to help clinicians and caregivers improve patient outcomes. Intelligent diagnostics rely on Artificial Intelligence to create new pathways for healthcare.

Healthcare 52

Healthcare Analytics Artificial Inteligence Artificial Intelligence 52

Cloudera

SEPTEMBER 12, 2018

The week is typically filled with exciting announcements from Cloudera and many partners and others in the data management, machine learning and analytics industry. Last night we kicked it off with the sixth annual Data Impact Awards Celebration. Congratulations and high fives to every organization that submitted entries.

Artificial Inteligence 44

Artificial Inteligence Data Machine Learning Pharmaceuticals 44

John Snow Labs

FEBRUARY 29, 2024

Boston Consulting Group (BCG ) highlights the diverse applications of Generative AI across various healthcare segments, such as providers, pharmaceutical firms, payers, and public health agencies​​. Initially its applications were modest focusing on tasks like pattern recognition in imaging and data analysis.

Generative AI 40

Generative AI Healthcare Artificial Inteligence Technical Review 40

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

Infinidat

OCTOBER 4, 2023

The impact may not always be so drastic, although it can be in mission-critical situations, which large enterprises have, whether a health system, a governmental body, a financial institution, a retailer, a utility, a large university, a pharmaceutical company or countless other enterprise organizations. Be vigilant! #3

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Storage Development Team Review Malware Systems Review 72

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. Smart medical devices to generate and collect data. Let’s get started.

Healthcare 64

Healthcare Internet IoT Systems Review 64

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 350

Data Artificial Inteligence Technical Advisors Technical Review 350

TIBCO - Connected Intelligence

APRIL 27, 2021

So, make sure to attend the keynotes, covering TIBCO’s product direction and how customers are solving today’s most pressing data challenges, from the following executives: Matt Quinn, Executive Vice President, Products & Technology, and COO; Fred Studer, Chief Marketing Officer; and Michael O’Connell, Chief Analytics Officer.

Analytics 26

Analytics Virtualization Pharmaceuticals Artificial Intelligence 26

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. AI and data science promise a steady stream of new solutions. Life sciences and pharmaceutical suppliers are taking advantage of AI and data science in their R&D organizations.

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. It provides patients, healthcare workers, and organizations with the best value possible. Technology such as Big Data, IoT, Web 3.0, AR/VR, and PaaS/SaaS contribute to digital transformation.

Healthcare 52

Healthcare Trends Technical Review VR 52

Xicom

JULY 21, 2020

Back in 2000, when the human genome was sequenced entirely, the hope and excitement around the ability to customize medicine or drug, to an individual genomic data was quite high. Even presently, healthcare organizations face growing pressure to accomplish better care coordination and improved patient care outcomes.

Healthcare 52

Healthcare Analytics Technical Advisors Analysis 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. CEOs of major pharmaceutical and biotechnology companies have already upped production goals of the vaccine to from 1.3

Data 103

Data Agile Analytics Transportation 103

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. Proteomics (the study of proteomes, a set of proteins in an organism).

Analysis 52

Analysis Data Study Technical Review 52

Mobilunity

MAY 20, 2023

Dr. Fei-Fei Li: A pioneer in artificial intelligence, Dr. Li is the co-director of Stanford University’s Human-Centered AI Institute and the Stanford Vision and Learning Lab. She previously served as the director of the Stanford Artificial Intelligence Lab.

Technical Review 52

Technical Review Fractional CTO CTO Artificial Inteligence 52

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. Let’s see what exactly Databricks has to offer.

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Weak Development Team Machine Learning Artificial Inteligence Software Review 64

Datica

JUNE 17, 2019

It’s not hard to see why the seamless exchange of data between applications, providers, and healthcare organizations, known as interoperability , benefits all parties – providers, administration, and patients alike. Throughout the interoperability conversation, there’s been much debate around data standards.

Healthcare 40

Healthcare Blockchain Technical Review Systems Review 40