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 290

Pharmaceuticals Technical Review AWS Machine Learning 290

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.

Machine Learning 72

Machine Learning Artificial Inteligence Software Analytics 72

AWS Machine Learning - AI

MARCH 4, 2024

Amazon Bedrock is the best place to build and scale generative AI applications with large language models (LLM) and other foundation models (FMs). It enables customers to leverage a variety of high-performing FMs, such as the Claude family of models by Anthropic, to build custom generative AI applications.

Generative AI 132

Generative AI AWS Artificial Inteligence Innovation 132

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 326

Data Database Administration Data Engineering Artificial Inteligence 326

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 349

Data Artificial Inteligence Technical Advisors Technical Review 349

AWS Machine Learning - AI

DECEMBER 6, 2023

Conversational AI has come a long way in recent years thanks to the rapid developments in generative AI, especially the performance improvements of large language models (LLMs) introduced by training techniques such as instruction fine-tuning and reinforcement learning from human feedback.

Artificial Inteligence 96

Artificial Inteligence Analytics Knowledge Base Lambda 96

CIO

SEPTEMBER 18, 2023

The latest piece in her reinvention story is Synchrony’s new Tech Apprenticeship for Artificial Intelligence, a full-time, 12-month program that balances on-the-job learning with instructor-led training, providing Chavarin with a pathway into one of the most coveted technology spaces despite her very nontraditional IT background.

Technical Review 338

Technical Review Pharmaceuticals Security Training 338

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

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

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

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

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 Artificial Inteligence Organization Artificial Intelligence 45

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 97

Generative AI AWS Lambda Technical Review 97

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 175

Biotech Strategy Artificial Inteligence Recruiting 175

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

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 241

Industry Cloud Technical Review Pharmaceuticals 241

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

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. Intelligent diagnostics rely on Artificial Intelligence to create new pathways for healthcare.

Healthcare 52

Healthcare Analytics Artificial Inteligence Artificial Intelligence 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.

Enterprise 130

Enterprise Artificial Inteligence Healthcare Pharmaceuticals 130

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 325

Pharmaceuticals Business Intelligence Technical Review Government 325

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

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

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? What is Databricks Databricks is an analytics platform with a unified set of tools for data engineering, data management , data science, and machine learning.

Weak Development Team 64

Weak Development Team Machine Learning Artificial Inteligence Software Review 64

Cloudera

MAY 22, 2019

Although the program is technically in its seventh year, as the first joint awards program, this year’s Data Impact Awards will span even more use cases, covering even more advances in IoT, data warehouse, machine learning, and more. Every year we are blown away by the incredible things our customers are doing with our products.

Artificial Inteligence 56

Artificial Inteligence Data Machine Learning Pharmaceuticals 56

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 Healthcare Systems Review AWS 52

MagmaLabs

APRIL 25, 2023

Artificial Intelligence (AI) AI refers to the ability of a computer or machine to mimic the competencies of the human mind, which often learns from previous experiences to understand and respond to language, decisions, and problems. dollars in 2020, the predictive analytics market is projected to reach 41.52

Trends 52

Trends eCommerce Artificial Inteligence Software 52

MagmaLabs

APRIL 25, 2023

Artificial Intelligence (AI) AI refers to the ability of a computer or machine to mimic the competencies of the human mind, which often learns from previous experiences to understand and respond to language, decisions, and problems. dollars in 2020, the predictive analytics market is projected to reach 41.52

Trends 52

Trends eCommerce Artificial Inteligence Software 52

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

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

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

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

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

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

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 105

Data Agile Analytics Transportation 105

Trigent

FEBRUARY 24, 2023

Artificial intelligence (AI) and robotic process automation (RPA) have quickly become leading technologies poised to revolutionize how small businesses operate, making it possible for companies of any size to streamline their day-to-day operations. Let’s take a look at the example of a small pharmaceutical company.

Small Business 52

Small Business Artificial Inteligence Technical Review Artificial Intelligence 52

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.

Meeting 65

Meeting Data Technical Review Machine Learning 65

N2Growth Blog

JANUARY 10, 2024

leveraging insights from market intelligence and keeping a pulse on the latest industry trends – And partnering with leadership advisory and executive search firms with expertise in the life sciences sector can provide a significant advantage.

Biotech 94

Biotech Leadership Recruiting Artificial Inteligence 94