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

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 214

Artificial Inteligence Pharmaceuticals Analytics Artificial Intelligence 214

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 210

Data Technical Advisors Technical Review Artificial Inteligence 210

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

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 Data 72

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 204

Technical Review Pharmaceuticals Security Training 204

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 218

Artificial Inteligence Technical Review Fractional CTO Data Engineering 218

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 212

Artificial Inteligence Artificial Intelligence Machine Learning Survey 212

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 199

Data Data Engineering Database Administration Artificial Inteligence 199

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 197

Business Intelligence Pharmaceuticals Technical Review Government 197

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 165

Industry Cloud Technical Review Pharmaceuticals 165

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 Artificial Inteligence 197

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 158

Artificial Inteligence Weak Development Team Healthcare Machine Learning 158

InfoBest

SEPTEMBER 19, 2021

Machine learning development. In the case of companies looking to improve their workflows and to become more digital it is usually machine learning development, a branch of A.I. Machine learning development, compared to more classic A.I., Machine learning development, compared to more classic A.I.,

Artificial Inteligence 52

Artificial Inteligence Machine Learning Development Training 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

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 46

Pharmaceuticals Organization Artificial Inteligence Artificial Intelligence 46

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 137

Generative AI AWS Artificial Inteligence Innovation 137

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

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 117

Generative AI AWS Lambda Technical Review 117

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 108

Data Agile Analytics Transportation 108

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

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 116

Artificial Inteligence Analytics Knowledge Base Lambda 116

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

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

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 79

Enterprise Cloud eBook Data 79

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

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 60

Analytics Data Research Engineering 60

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

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

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

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

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

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 78

Enterprise Artificial Inteligence Healthcare Pharmaceuticals 78

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

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

Modus Create

MARCH 14, 2023

Pfizer — Better Health Outcomes with Companion Apps Pharmaceutical In 2019, Lidia Fonseca joined Pfizer as Chief Digital and Technology Officer, with the goal of transforming how the company uses digital platforms and data to improve health outcomes for patients. The results were incredible.

Examples 98

Examples Industry Technical Review Systems Review 98

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 97

Biotech Leadership Recruiting Trends 97