CIO

MARCH 24, 2023

Perhaps most important, Idorsia taps into Veeva’s evolving knowledge base, which encompasses data from other customers such as major pharmaceuticals giants Merck, Bayer, and Kronos, the CIO says. And that is a major gain for a startup — getting the know-how and experience of Veeva’s entire customer base, he says.

Industry 227

Industry Cloud Technical Review Pharmaceuticals 227

TechCrunch

OCTOBER 29, 2020

The company’s machine learning dashboard is able to detect improper payments more quickly, conduct clinical claim reviews and generate reports, speeding up and cleaning up a process that’s been mostly manual and inefficient. Alaffia automates the process of auditing health insurance claims.

Meeting 213

Meeting VR Insurance Pharmaceuticals 213

AWS Machine Learning - AI

MARCH 4, 2024

For instance, pharmaceutical companies can query drug research papers alongside protein structure diagrams to accelerate discovery. In this role, Swami oversees all AWS Database, Analytics, and AI & Machine Learning services. Media organizations can generate image captions or video scripts automatically.

Generative AI 134

Generative AI AWS Artificial Inteligence Innovation 134

TIBCO - Connected Intelligence

JANUARY 27, 2020

Are there any applications for anomaly detection in pharmaceuticals? There are many applications of anomaly detection in the pharmaceutical life sciences space. Timely anomaly detection is critical to avoid abnormal events and adhere to safety standards.

Artificial Inteligence 46

Artificial Inteligence Machine Learning Pharmaceuticals How To 46

Trigent

APRIL 27, 2022

Hartford HealthCare, a comprehensive and integrated healthcare system serving more than 17,000 people daily across its 400 locations, recently announced its decision to launch a novel research initiative with Ibex Medical Analytics. It paves the path for analytics.

Healthcare 52

Healthcare Analytics Artificial Inteligence Artificial Intelligence 52

N2Growth Blog

OCTOBER 23, 2023

A solid grasp of the latest advancements across biotechnology, pharmaceuticals, and medical devices is essential in driving innovations and the ability to synthesize information and translate it into actionable strategies quickly. Moreover, data analytics plays a pivotal role in executive search by providing valuable insights and predictions.

Biotech 166

Biotech Strategy Artificial Inteligence Recruiting 166

AWS Machine Learning - AI

FEBRUARY 6, 2024

Bringing innovative new pharmaceuticals drugs to market is a long and stringent process. Because of the sensitive nature of the data and effort involved, pharmaceutical companies need a higher level of control, security, and auditability. His focus area is on Data, Analytics and Generative AI. AI delivers a major leap forward.

Generative AI 96

Generative AI AWS Lambda Technical Review 96

CIO

MAY 10, 2023

focuses on driving mobility and tapping on the then-nascent Internet of Things, the subsequent phase prominently features technology such as artificial intelligence and machine learning and ways to extend their use across every aspect of the business. Whereas digital transformation in its earliest iteration—digital transformation 1.0—focuses

Enterprise 130

Enterprise Artificial Inteligence Healthcare Pharmaceuticals 130

Perficient

NOVEMBER 30, 2022

Financial services and pharmaceuticals, researchers and retailers, freight carriers, phone carriers, NGOs, energy firms, entertainment studios, the list goes on and on.”. This option simplifies the process of running petabyte-scale search and analytics workloads without having to configure, manage, or scale OpenSearch clusters.

AWS 64

AWS Serverless Healthcare Analytics 64

TIBCO - Connected Intelligence

JUNE 25, 2020

Digital businesses require a data-centric view of the business that is built on a strong foundation of integration, data management, and analytics. Only by putting accurate, consistent data at the core with effective data management, can businesses employ advanced analytics and data science to drive greater value from their data.

Analytics 26

Analytics Virtualization Data Pharmaceuticals 26

Capgemini

MARCH 20, 2023

Enabled by HighRadius, Capgemini’s AI.Receivables solution gives you the power of data driven insights, machine learning, human and machine interaction – taking your O2C to the next level. Vikram Gollakota has over 20 years of experience in consulting and implementation of finance solutions globally. Connect with us Thank You!

Pharmaceuticals 52

Pharmaceuticals Systems Review Technical Review Machine Learning 52

DataRobot

JULY 22, 2021

Retailers, manufacturers, and pharmaceutical companies all have struggled to align production and stocking with rapid shifts in demand. Using machine learning in conjunction with existing business intelligence solutions can give retailers and manufacturers a much more accurate and realistic insight into future demand, even in uncertain times.

Retail 52

Retail Artificial Inteligence eBook Machine Learning 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. Voya Financial prevented millions of dollars of fraudulent transactions by deploying predictive analytic capabilities on Cloudera. Technical Impact.

Artificial Inteligence 45

Artificial Inteligence Data Machine Learning Pharmaceuticals 45

Cloudera

AUGUST 28, 2018

From AI models that power retail customer decision engines to utility meter analysis that disables underperforming gas turbines, these finalists demonstrate how machine learning and analytics have become mission-critical to organizations around the world. Enterprise Machine Learning. TECHNICAL IMPACT. Barclaycard.

Meeting 65

Meeting Data Technical Review Machine Learning 65

MagmaLabs

APRIL 25, 2023

The most prominent industries for AI adoption in organizations include high-tech and telecommunications, financial services, and healthcare and pharmaceuticals. The most recent top-funded AI businesses are all machine learning and chatbot companies, focusing on human interface with machines. Valued at 5.29 billion U.S.

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. The most recent top-funded AI businesses are all machine learning and chatbot companies, focusing on human interface with machines. Valued at 5.29 billion U.S.

Trends 52

Trends eCommerce Artificial Inteligence Software 52

N2Growth Blog

JANUARY 10, 2024

Firms with a deep understanding of the unique challenges and requirements of leadership roles in highly dynamic industries like biotech, pharmaceuticals, and other life sciences subsectors enable them to assist life sciences companies in identifying top talent that fits the organization’s culture and values.

Biotech 94

Biotech Leadership Recruiting Artificial Inteligence 94

Altexsoft

AUGUST 17, 2021

Many digital therapeutics make use of artificial intelligence (AI), machine learning (ML), and natural language processing (NLP) technologies to deal with patient data. In many cases, digital medicine deals with pharmaceuticals combining prescription medications and ingestible sensors. Digital therapeutics key principles.

Software Review 105

Software Review Software Technical Review Pharmaceuticals 105

CIO

NOVEMBER 4, 2022

For pharmaceutical companies in the digital era, intense pressure to achieve medical miracles falls as much on the shoulders of CIOs as on lead scientists. Rigid requirements to ensure the accuracy of data and veracity of scientific formulas as well as machine learning algorithms and data tools are common in modern laboratories.

Pharmaceuticals 274

Pharmaceuticals Technical Review AWS Machine Learning 274

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.

Development 52

Development Healthcare Artificial Inteligence VR 52

CIO

MARCH 2, 2023

One of the biggest things I’ve learned is you can’t do automation to the business; you have to do it with the business.” Plus, Adani Electricity this year is continuing with advancements in the areas of distribution management, customer experience, the metering ecosystem, and consumer data analytics, says Tandon. million consumers.

Artificial Inteligence 356

Artificial Inteligence Pharmaceuticals Analytics Artificial Intelligence 356

Altexsoft

MAY 6, 2022

A cold chain is the supply chain that deals with perishable, temperature-sensitive goods (also called cool cargo) such as fresh produce, meat, dairy, seafood, chemicals, pharmaceutical products, flowers, wine, etc. Cold chain in pharmaceutics. Supply Chain Analytics: Opportunities in Data Analysis and Business Intelligence.

Transportation 52

Transportation How To Pharmaceuticals Storage 52

Coforge

SEPTEMBER 28, 2020

Unstructured data and excessive documentation has troubled organizations at many levels leaving a lot of potential business value untouched from an analytical standpoint. New advances in machine learning and data science have narrowed the gap significantly to eliminate manual intervention. But there is an upside. Business Case.

Artificial Inteligence 40

Artificial Inteligence Data Artificial Intelligence Quality Assurance 40

Trigent

FEBRUARY 24, 2023

Let’s take a look at the example of a small pharmaceutical company. Analytics – RPA can help you with additional data from various systems, whether desktop or web applications. Machine learning-enabled process mining solutions can help identify opportunities for automation, which can then be implemented with RPA.

Small Business 52

Small Business Artificial Inteligence Technical Review Artificial Intelligence 52

Exadel

APRIL 27, 2023

RegTech filled that gap and provided machine learning and predictive analytics tools to prevent fraudulent activity. In fact, it is applied to broader industries, such as energy, aviation, pharmaceutical, gaming, and healthcare. After the financial crisis in 2008, the number of regulatory changes increased significantly.

Banking 52

Banking Report Compliance Fintech 52

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.”. Those challenges are well-known to many organizations as they have sought to obtain analytical knowledge from their vast amounts of data.

Data 348

Data Artificial Inteligence Technical Advisors Technical Review 348

TechCrunch

FEBRUARY 10, 2022

Toronto-based ODAIA , an AI-powered commercial insights platform for pharmaceutical companies, has raised $13.8 The platform combines data analysis, process mining and AI to offer predictive analytics to pharmaceutical and life sciences commercial teams. million in Series A funding led by Flint Capital.

Pharmaceuticals 222

Pharmaceuticals Company Analysis Machine Learning 222

CIO

DECEMBER 21, 2022

BI software helps companies do just that by shepherding the right data into analytical reports and visualizations so that users can make informed decisions. Axel Goris, global visual analytics lead, Novartis Novartis There can be obstacles, however, to taking the self-service approach.

Pharmaceuticals 317

Pharmaceuticals Business Intelligence Technical Review Government 317

Altexsoft

APRIL 23, 2021

the application layer , providing end-users with data analytics, reporting, and device control opportunities through software solutions. Smart pills , also known as smart drugs or digital pills, are small electronic devices that come in the form of pharmaceutical capsules containing ingestible sensors.

Healthcare 64

Healthcare Internet IoT Systems Review 64

TechCrunch

SEPTEMBER 7, 2021

It’s in too many places, and there is just too much of it, and it’s growing every day (and changing every day), which means that traditional approaches of porting data to a centralized location to run analytics on it just wouldn’t be efficient, and would cost a fortune to execute. That is where Segera comes in.

Data 200

Data Machine Learning Artificial Inteligence Pharmaceuticals 200

AWS Machine Learning - AI

DECEMBER 6, 2023

Such data often lacks the specialized knowledge contained in internal documents available in modern businesses, which is typically needed to get accurate answers in domains such as pharmaceutical research, financial investigation, and customer support. This task involves answering analytical reasoning questions.

Artificial Inteligence 95

Artificial Inteligence Analytics Knowledge Base Lambda 95

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​​. John Snow Labs, a leader in healthcare AI and data analytics, positions itself as a crucial player in overcoming these obstacles.

Generative AI 40

Generative AI Healthcare Artificial Inteligence Technical Review 40

Xicom

JULY 21, 2020

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. But, before you have a look at the cases, let us delve and find an answer to what is Predictive Analytics?

Healthcare 52

Healthcare Analytics Technical Advisors Analysis 52

TechCrunch

MARCH 9, 2021

Overall, it had about 500 customers as of January across a range of industries from technology to pharmaceutical to aerospace and defense to banking. Over the years, SeekOut has built out a database with hundreds of millions of profiles using its AI-powered talent search engine and “deep interactive analytics.”

Meeting 299

Meeting Recruiting Pharmaceuticals Machine Learning 299

Altexsoft

APRIL 27, 2023

Advanced analytics shows lots of promise for pharma companies. Improvements data analytics promises to bring for pharma. In this article, we’ll review the most popular use cases of machine learning and AI in pharma and back them with real-life examples from industry leaders. How could data analytics boost this process?

Analytics 52

Analytics Innovation Development Data 52

Cloudera

NOVEMBER 1, 2020

Cloudera’s work with BioPharma organizations helps them link clinical and business knowledge with analytics expertise to drive patient-level insights and operational decision making in a dynamic environment. This organization now has a single, integrated data platform comprising gene, assay and clinical information. .

Pharmaceuticals 44

Pharmaceuticals Artificial Inteligence Organization Artificial Intelligence 44

TechCrunch

JANUARY 12, 2022

Its customers hail from a range of industries, from technology to pharmaceutical to aerospace and defense to banking. . “ Over the years, SeekOut has built out a database with hundreds of millions of profiles using its AI-powered talent search engine and “deep interactive analytics.”

Enterprise 197

Enterprise Recruiting Pharmaceuticals Machine Learning 197