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 350

Data Technical Advisors Artificial Inteligence Technical Review 350

CIO

SEPTEMBER 30, 2024

Like many organizations, Indeed has been using AI — and more specifically, conventional machine learning models — for more than a decade to bring improvements to a host of processes. “So one tiny little sentence is better for job seekers and employers,” she says.

Artificial Inteligence 354

Artificial Inteligence Artificial Intelligence Machine Learning Survey 354

TIBCO - Connected Intelligence

MARCH 4, 2021

This makes the 2021 Gartner Magic Quadrant for Data Science and Machine Learning Platforms an important resource for today’s data science-driven organizations that must invest in this critical technology. Encourages Collaboration: Today, analytics + data science is a team sport spanning business and IT.

Artificial Inteligence 72

Artificial Inteligence Machine Learning Software Analytics 72

Altexsoft

FEBRUARY 1, 2019

According to McKinsey , machine learning and artificial intelligence in pharma and medicine are going to revolutionize the industries to help them make better decisions, optimize innovations, improve the efficiency of clinical and research trials, and provide for new tools for physicians, consumers, regulators, and even insurers.

Artificial Inteligence 68

Artificial Inteligence Machine Learning Pharmaceuticals Artificial Intelligence 68

CIO

SEPTEMBER 18, 2023

According to the 2023 State of the CIO , IT leaders are looking to shore up competencies in key areas such as cybersecurity (39%), application development (30%), data science/analytics (30%), and AI/machine learning (26%). From an individual’s perspective, it keeps careers interesting and helps people grow with the organization.

Technical Review 340

Technical Review Pharmaceuticals Security Training 340

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 45

Pharmaceuticals Organization Artificial Inteligence Artificial Intelligence 45

CIO

OCTOBER 13, 2023

Analytics/data science architect: These data architects design and implement data architecture supporting advanced analytics and data science applications, including machine learning and artificial intelligence. Communication and political savvy: Data architects need people skills.

Data 330

Data Database Administration Data Engineering Artificial Inteligence 330

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

CIO

SEPTEMBER 8, 2023

Managing inventory, both pre-operative and post-operative, is time consuming because the inventory replenishment process is reactive,” says Jim Swanson, CIO at US pharmaceutical and medical technologies company Johnson & Johnson. As an example, Swanson points to total knee arthroplasty (TKA) and total hip arthroplasty (THA) procedures.

Artificial Inteligence 253

Artificial Inteligence Weak Development Team Healthcare Machine Learning 253

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 Artificial Inteligence Machine Learning Pharmaceuticals 200

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 255

Industry Cloud Technical Review Pharmaceuticals 255

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.

Business Intelligence 328

Business Intelligence Pharmaceuticals Technical Review Government 328

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 Artificial Inteligence 213

CIO

JUNE 7, 2022

Successful AI teams also include a range of people who understand the business and the problems it’s trying to solve, says Bradley Shimmin, chief analyst for AI platforms, analytics, and data management at consulting firm Omdia. Data scientists are the core of any AI team.

Artificial Inteligence 363

Artificial Inteligence Technical Review Fractional CTO Data Engineering 363

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 Artificial Inteligence 299

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

Perficient

MAY 21, 2024

Clinical trials are integral to the safe and efficient delivery of new pharmaceuticals. Envisioning a Bold, New Clinical Trial Data Collaboration Solution Our client, a top-five pharmaceutical leader, needed an overhaul of its legacy systems to improve efficiency, enhance collaboration, and accelerate development timelines.

Pharmaceuticals 52

Pharmaceuticals Artificial Inteligence Data Systems Review 52

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

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 141

Generative AI AWS Artificial Inteligence Innovation 141

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

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 178

Biotech Strategy Artificial Inteligence Recruiting 178

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 122

Generative AI AWS Lambda Technical Review 122

Perficient

OCTOBER 4, 2023

CLIENT An American multinational corporation that develops medical devices, pharmaceuticals, and consumer packaged goods. To meet clinical, business, and evolving consumer needs, healthcare and life sciences organizations are focused on care delivery that enables innovation in patient engagement, data and analytics, and virtual care.

Software Review 52

Software Review Systems Review Healthcare AWS 52

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 121

Artificial Inteligence Analytics Knowledge Base AWS 121

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

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

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

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

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 Artificial Inteligence 52

Cloudera

NOVEMBER 25, 2020

Sample and treatment history data is mostly structured, using analytics engines that use well-known, standard SQL. Combining data from structured, semi-structured, and unstructured analytics services is very challenging, often involving programmatic or manual correlation. Which is invaluable to organizations such as Matthews.

Analytics 59

Analytics Data Research Engineering 59

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 106

Data Agile Analytics Transportation 106

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 44

Artificial Inteligence Data Machine Learning Pharmaceuticals 44

Perficient

SEPTEMBER 25, 2024

Clinical trial data management is critical to pharmaceutical research, yet it remains a significant challenge for many organizations. Contact us to learn about our life sciences and healthcare expertise and capabilities , and how we can help you transform your business.

Artificial Inteligence 52

Artificial Inteligence Data Artificial Intelligence Technical Review 52

Cloudera

APRIL 13, 2021

What’s the fastest and easiest path towards powerful cloud-native analytics that are secure and cost-efficient? Disparate data silos made real-time streaming analytics, data science, and predictive modeling nearly impossible. Use case #4: An analytics provider for life sciences processes data 72x faster.

Enterprise 78

Enterprise Cloud eBook Data 78

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 Software Security 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 Software Security 52