TechCrunch

APRIL 22, 2021

To accomplish this, Medchart makes use of AI and machine learning to create a deeper understanding of the data set in order to be able to intelligently answer the specific questions that data requesters have of the information. So what are the business decision points that you’re trying to make with this data?”

Data 243

Data Pharmaceuticals Insurance Artificial Inteligence 243

AWS Machine Learning - AI

MARCH 4, 2024

Customers such as ADP, Broadridge, Cloudera, Dana-Farber Cancer Institute, Genesys, Genomics England, GoDaddy, Intuit, M1 Finance, Perplexity AI, Proto Hologram, Rocket Companies and more are using Anthropic’s Claude models on Amazon Bedrock to drive innovation in generative AI and to build transformative customer experiences.

Generative AI 140

Generative AI AWS Artificial Inteligence Innovation 140

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 187

Pharmaceuticals Technical Review AWS Machine Learning 187

TechCrunch

NOVEMBER 3, 2020

We look forward to working with the company to help them sustain their impressive global growth, and continued innovation in upskilling and reskilling,” said Steve Kuo, senior MD and Technology Group head at Hercules Capital, in a statement. Udacity is for now not looking at any acquisitions, he added, for another 6-12 months.

Education 295

Education Enterprise Artificial Inteligence Off-The-Shelf 295

TechCrunch

APRIL 21, 2022

Reid also claims a higher level of automation for its machines — which, to be clear, are still at prototype stage. But bioreactors were only very recently only found in biotech and pharmaceutical laboratories and aren’t exactly designed for easy operation and customization. To operate it, you don’t need a Ph.D.,

Hardware 233

Hardware Off-The-Shelf Biotech Pharmaceuticals 233

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

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.” We’ve matured our practice around automation and built architecture that’s enabled us to be nimble, innovative, and able to pivot quickly in a dynamic, global healthcare environment.”

Artificial Inteligence 214

Artificial Inteligence Pharmaceuticals Analytics Artificial Intelligence 214

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. And she expects AI to drive even more impressive innovations as both the technology and the enterprise’s ability to use it mature.

Artificial Inteligence 212

Artificial Inteligence Artificial Intelligence Machine Learning Survey 212

TechCrunch

DECEMBER 15, 2021

Yelda Kaya, formerly of J&J Innovation, will join as chief business officer. . Generate Bio, which just raised a $370 million Series B , has also used a machine learning approach. . That may occur through collaboration with a pharmaceutical partner, though the company hasn’t ruled out creating a drug pipeline of its own. .

System 203

System Artificial Inteligence 3D Pharmaceuticals 203

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. TIBCO remains a strong competitor and innovator. Partner with an expert to accelerate innovation.

Machine Learning 72

Machine Learning Artificial Inteligence Software Analytics 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

TechCrunch

MARCH 23, 2023

It’s rarely so simple, but Pragma is building a gigantic statistical model (with machine learning mixed in, of course) of all these things to identify likely candidates for investigation. Might be a good idea to isolate molecule C and see if it can be used to help others use therapy A, right?

Pharmaceuticals 201

Pharmaceuticals Artificial Inteligence Machine Learning Testing 201

CIO

NOVEMBER 11, 2022

As the global COVID-19 pandemic was beginning to spread, the company, one of the world’s largest suppliers of pharmaceuticals, medical devices, and consumer packaged goods, needed to reduce costs, speed up tasks, and improve the accuracy of its core business operations. But organizations like J&J wanted to take automation further.

Artificial Inteligence 183

Artificial Inteligence Pharmaceuticals Artificial Intelligence Technical Review 183

CIO

AUGUST 11, 2023

How natural language processing works NLP leverages machine learning (ML) algorithms trained on unstructured data, typically text, to analyze how elements of human language are structured together to impart meaning. Unless you turn an app on manually, NLP programs must operate in the background, waiting for that phrase.

Artificial Inteligence 213

Artificial Inteligence Technical Review Artificial Intelligence Systems Review 213

CIO

JUNE 7, 2022

They process and analyze data, build machine learning (ML) models, and draw conclusions to improve ML models already in production. A data scientist is a mix of a product analyst and a business analyst with a pinch of machine learning knowledge, says Mark Eltsefon, data scientist at TikTok.

Artificial Inteligence 218

Artificial Inteligence Technical Review Fractional CTO Data Engineering 218

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.,

Machine Learning 52

Machine Learning Artificial Inteligence Development Training 52

TechCrunch

JANUARY 12, 2022

Its customers hail from a range of industries, from technology to pharmaceutical to aerospace and defense to banking. . “ It finds talent by scouring public data and using natural-language and machine-learning technologies to understand the expertise of each candidate to build a complete 360-degree view of each potential employee.

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

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. Information/data governance architect: These individuals establish and enforce data governance policies and procedures.

Data 199

Data Database Administration Data Engineering Artificial Inteligence 199

CIO

DECEMBER 5, 2023

EMEA organisations expect cloud computing to improve productivity, enable innovation and new product/service development, and upgrade legacy tech with lower total cost of ownership. Over the next five years, Huawei Cloud aims to support 1,000 European startups to grow on cloud, further building innovation within the ecosystem.

Cloud 147

Cloud Artificial Inteligence Artificial Intelligence Compliance 147

Palo Alto Networks

AUGUST 2, 2024

Artificial intelligence (AI) is at the forefront of business innovation. But what if the organization rushed that application to market without considering supply chain vulnerabilities in the app ecosystem – including corrupt AI and machine learning (ML) packages and model vulnerabilities?

Artificial Inteligence 106

Artificial Inteligence Applications Real Estate Pharmaceuticals 106

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. This post is co-written with Ilan Geller, Shuyu Yang and Richa Gupta from Accenture.

Generative AI 122

Generative AI AWS Lambda Technical Review 122

N2Growth Blog

OCTOBER 23, 2023

With the constant advancements in technology and research, businesses in this sector require leaders who possess a deep understanding of the scientific landscape and the business acumen to drive growth and innovation. Biotech companies operate in highly dynamic and innovative environments where collaboration and adaptability are essential.

Biotech 178

Biotech Strategy Artificial Inteligence Recruiting 178

CIO

MARCH 13, 2023

The lure of applied AI Across the board, CIOs and other IT leaders are hiring software engineers, machine learning engineers, data scientists, digital project managers, and cloud professionals, and many are, in fact, offering them the opportunity to work on impactful and innovative projects.

Healthcare 148

Healthcare Real Estate Machine Learning Artificial Inteligence 148

Perficient

JANUARY 4, 2024

The continual evolution of these technologies has empowered businesses to leverage advanced algorithms, predictive modeling, and generative capabilities, driving unprecedented innovation and efficiency.

Artificial Inteligence 72

Artificial Inteligence Artificial Intelligence Generative AI Pharmaceuticals 72

Palo Alto Networks

JANUARY 27, 2021

How can business and technology leaders ensure the security of their organizations while keeping pace with accelerated digital transformation such as the shift to cloud, the rise of machine learning and the growth of the Internet of Things? Mike Towers, CISO, Takeda Pharmaceuticals International.

Pharmaceuticals 87

Pharmaceuticals Internet Machine Learning Artificial Inteligence 87

CIO

OCTOBER 22, 2024

Multicloud is becoming a reality because big enterprise does not want to be locked into a single cloud or face huge fees to move workloads efficiently, says Stardog CEO Kendall Clark, acknowledging that the additional complexity, especially for AI, is real and expensive but maintains that demand will drive innovation for interoperability.

Strategy 193

Strategy AWS Cloud Azure 193

Cloudera

JUNE 11, 2024

The bank’s teams built Next Best Conversation, a centralized platform that uses machine learning to analyze real-time contextual data from customer conversations related to sales, service, and other variables to deliver unique insights and opportunities to improve operations.

Generative AI 98

Generative AI Artificial Inteligence Enterprise Data 98

Palo Alto Networks

DECEMBER 21, 2020

Hackers use highly efficient tools and methodologies; organizations need to embrace the efficiency of a cybersecurity platform powered by machine learning to keep up. Government must allow innovation to be deployed. 100% prevention, 100% of the time is impossible.

Pharmaceuticals 98

Pharmaceuticals Government Infrastructure Firewall 98

Perficient

MAY 21, 2024

Clinical trials are integral to the safe and efficient delivery of new pharmaceuticals. Tasked with collaborating on trials and delivering groundbreaking innovations to market, the client’s teams struggled to collaborate or to rapidly make important decisions based on incoming clinical trial data across its multiple aging platforms.

Pharmaceuticals 52

Pharmaceuticals Artificial Inteligence Data Systems Review 52

Altexsoft

AUGUST 17, 2021

The new page has recently been turned by the innovative tech solutions that come under the name of digital therapeutics (DTx). Many digital therapeutics make use of artificial intelligence (AI), machine learning (ML), and natural language processing (NLP) technologies to deal with patient data.

Software Review 105

Software Review Software Technical Review Pharmaceuticals 105

Altexsoft

APRIL 27, 2023

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. Machine learning algorithms can be used to predict future sales of particular drugs or spot growth. An innovative CV clinical trial run by AstraZeneca.

Analytics 52

Analytics Innovation Development Data 52

Modern CTO

MAY 30, 2024

We discuss how their innovative technology is making cancer less scary, the necessary considerations of data in healthcare, and how AI is playing a central role in paving these paths. To learn more about SOPHiA GENETICS, check out their website here. Today we’re talking to Abhimanyu Verma, CTO at SOPHiA GENETICS.

Artificial Inteligence 59

Artificial Inteligence Technology Healthcare Pharmaceuticals 59

N2Growth Blog

JANUARY 10, 2024

With the guidance and support of experienced executive search consultants, companies can strengthen their leadership teams and drive innovation, growth, and success in the life sciences industry. The rapid pace of innovation and advancement in the sector further compounds the challenges of leadership recruitment.

Biotech 97

Biotech Leadership Recruiting Artificial Inteligence 97

TechCrunch

MARCH 29, 2022

Quick thoughts : Innovation in Africa’s B2B e-commerce and retail space has been around the digitization of processes and BNPL services, but not much around cash overdependence and fraud. Kingsley Michael and Efosa Uwogiren are the other co-founders, with experience in machine learning, data science and product development.

.Net 228

.Net CTO Banking Fintech 228

Cloudera

APRIL 13, 2021

That’s because CDP has made it possible for them to modernize their legacy data platforms and extend machine learning (ML) and real-time analytics to public cloud, all while gaining cross-functional collaboration across the enterprise. . Use case #3: A global logistics company gains a 10x capacity increase.

Enterprise 79

Enterprise Cloud eBook Data 79

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. Giuseppe Hannen is a ProServe Associate Consultant.

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Artificial Inteligence Analytics Knowledge Base Lambda 122