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Machine Learning in Pharmaceutical Industry Market Is Expected to Generate $26.2 Billion by 2031: Allied Market Research

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Portland, OR , April 20, 2023 (GLOBE NEWSWIRE) — According to the report published by Allied Market Research, the global machine learning in pharmaceutical industry market garnered $1.2 billion in 2021, and is estimated to generate $26.2 billion by 2031, manifesting a CAGR of 37.9% from 2022 to 2031. The report provides an extensive analysis of changing market dynamics, major segments, value chain, competitive scenario, and regional landscape. This research offers a valuable guidance to leading players, investors, shareholders, and startups in devising strategies for the sustainable growth and gaining competitive edge in the market.  

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Report coverage & details

Report coverage Details
Forecast Period 2022–2031
Base Year 2021
Market Size in 2021 $1.2 billion
Market Size in 2031 $26.2 billion
CAGR 37.9%
No. of Pages in Report 280
Segments covered Component, Enterprise size, Deployment, and Region
Drivers The diverse applications of machine learning to predict the efficacy and safety of potential new drugs
Reduction in time and cost involved in the drug discovery and development process by machine learning
Opportunities ML is particularly useful for identifying drug candidates that have a high likelihood of success, potentially reducing the risk of failure during clinical trials
Restraints High cost & complexity of data collection

Covid-19 Scenario:  

  • The COVID-19 pandemic had a positive impact on the growth of the global machine learning in pharmaceutical industry market, owing to the role of machine learning in drug discovery and development. Machine learning algorithms have been increasingly used in drug discovery and development for several years, and the pandemic accelerated this trend.
  • The urgency of finding treatments and vaccines for COVID-19 led to a rise in investment in machine learning and artificial intelligence for drug development. Machine learning was used to rapidly analyze large amounts of data related to the coronavirus and potential treatments.
  • With many people unable or unwilling to participate in traditional clinical trials due to COVID-19 concerns, virtual trials became more common.

The research provides detailed segmentation of the global machine learning in pharmaceutical industry market based on component, enterprise size, deployment, and region. The report discusses segments and their sub-segments in detail with the help of tables and figures. Market players and investors can strategize according to the highest revenue-generating and fastest-growing segments mentioned in the report.  

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https://www.alliedmarketresearch.com/global-machine-learning-in-pharmaceutical-industry-market/purchase-options

Based on component, the solution segment held the highest share in 2021, accounting for more than two-thirds of the global machine learning in pharmaceutical industry market and is expected to continue its leadership status during the forecast period. However, the services segment is expected to register the highest CAGR of 39.5% from 2022 to 2031.

On the basis of enterprise size, the large enterprises segment accounted for the highest share in 2021, contributing to around three-fourths of the global machine learning in pharmaceutical industry market, and is expected to maintain its lead in terms of revenue during the forecast period. Moreover, the SMEs segment is expected to manifest the highest CAGR of 40.1% from 2022 to 2031.

Based on deployment, the cloud segment accounted for the highest share in 2021, holding more than two-thirds of the global machine learning in pharmaceutical industry market, and is expected to continue its leadership status during the forecast period. This segment is estimated to grow at the highest CAGR of 40.0% during the forecast period. The report also discusses on-premise segment.

Based on region, North America held the largest share in 2021, contributing to nearly half of the global machine learning in pharmaceutical industry market share, and is projected to maintain its dominant share in terms of revenue in 2031. In addition, the Asia-Pacific region is expected to manifest the fastest CAGR of 42.4% during the forecast period. The report also analyzes the markets in Europe and LAMEA regions.

Leading market players of the global machine learning in pharmaceutical industry market analyzed in the research include BioSymetrics Inc., Deep Genomics, Atomwise Inc., NVIDIA Corporation, International Business Machines Corporation, Microsoft Corporation, IBM, cyclica inc., Cloud Pharmaceuticals, Inc., and Alphabet Inc.

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The report provides a detailed analysis of these key players of the global machine learning in pharmaceutical industry market. These players have adopted different strategies such as new product launches, collaborations, expansion, joint ventures, agreements, and others to increase their market share and maintain dominant shares in different regions. The report is valuable in highlighting business performance, operating segments, product portfolio, and strategic moves of market players to showcase the competitive scenario.  

About Us

Allied Market Research (AMR) is a full-service market research and business-consulting wing of Allied Analytics LLP based in Portland, Oregon. Allied Market Research provides global enterprises as well as medium and small businesses with unmatched quality of “Market Research Reports” and “Business Intelligence Solutions.” AMR has a targeted view to provide business insights and consulting to assist its clients to make strategic business decisions and achieve sustainable growth in their respective market domain.

We are in professional corporate relations with various companies and this helps us in digging out market data that helps us generate accurate research data tables and confirms utmost accuracy in our market forecasting. Allied Market Research CEO Pawan Kumar is instrumental in inspiring and encouraging everyone associated with the company to maintain high quality of data and help clients in every way possible to achieve success. Each and every data presented in the reports published by us is extracted through primary interviews with top officials from leading companies of domain concerned. Our secondary data procurement methodology includes deep online and offline research and discussion with knowledgeable professionals and analysts in the industry.


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Artificial Intelligence

Picus Security Launches Security Validation for Kubernetes

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Teams can eliminate container security exposures with the new enhancements in Picus’ platform for multi-cloud
SAN FRANCISCO, May 23, 2024 /PRNewswire/ — Picus Security, the Security Validation company, today announced security validation for Kubernetes. This new capability allows Security and DevOps teams to realize the benefits of containers securely by proactively measuring and optimizing the resilience of clusters. It is the latest innovative addition to the Picus Security Validation Platform, which empowers users to consistently validate their security posture and measure risk across on-premises and multi-cloud environments.

For organizations that want an agile way to deploy, run and scale applications, Kubernetes offers considerable benefits. However, security is often the biggest barrier to its adoption. The dynamic and complex nature of Kubernetes means that containers are often misconfigured due to human error. Without a hands-on approach to governance, security gaps can easily emerge over time, increasing the risk of incidents. This situation is exacerbated by the high level of expertise required to secure Kubernetes and the use of default settings which are inherently insecure. According to The State of Kubernetes Report, more than two-thirds of Kubernetes users (67%) have delayed deployments due to security concerns.* 
The addition of Kubernetes validation extends the Picus platform’s existing validation capabilities, which are powered by attack simulation and GenAI. It enables organizations to proactively identify and mitigate security misconfigurations, such as weak policies and settings that could allow containers to run with insecure privileges and facilitate lateral movement. Now security teams can automatically assess the security of their workloads wherever they are located – on-premises, in containers, and also in cloud platforms including Amazon Web Services, Google Cloud Platform, and Microsoft Azure.
“Cloud security is perhaps the biggest barrier of entry for organizations that want to take advantage of container orchestration,” said Volkan Erturk, Picus CTO and Co-Founder. “Kubernetes offers incredible opportunities for DevOps teams to deploy and scale new applications, but Security teams can struggle to keep pace.
“With the Picus Security Validation Platform, security concerns won’t slow down an organization’s digital transformation journey. This new offering will allow our users to consistently measure the security of their workloads and vastly reduce the effort needed to address exposures across growing IT environments.”
Additional Information
Read the Kubernetes validation announcement blog.Register for the upcoming webinar on July 11th 2024 at 10.00 EST/ 15.00 BST: Beyond Cloud Security Posture Management: Validating Cloud Effectiveness with Attack Simulation About Picus Security
Picus Security helps security teams consistently and accurately validate their security posture. Our Security Validation Platform simulates real-world threats to evaluate the effectiveness of security controls, identify high-risk attack paths to critical assets, and optimize threat prevention and detection capabilities.
As the pioneer of Breach and Attack Simulation, we specialize in delivering the actionable insights our customers need to be threat-centric and proactive. 
Picus is a Gartner® Peer Insights™ Customers’ Choice for 2024 in the BAS tools category†. The company is recognized as a leader by Frost & Sullivan^.
† Gartner, Voice of the Customer for Breach and Attack Simulation Tools, Peer Contributors, 30 January 2024 ^ Frost and Sullivan, 2022 Frost Radar™ report for the Global Breach and Attack Simulation Market
Logo: https://mma.prnewswire.com/media/2183222/4724563/Picus_Logo.jpg

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Artificial Intelligence

Highlights from the Finale: Day Three of the London Blockchain Conference Unravelled

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As the London Blockchain Conference draws to a close, attendees heard from industry experts on Driving Innovation with Blockchain.
LONDON, May 23, 2024 /PRNewswire/ — Attendees at the London Blockchain Conference were in to witness the final day, which featured a line-up of informative and thought-provoking speakers. Throughout the day, there were exciting panels and presentations which featured cutting-edge ideas and insights.

Day 3 kickstarted with BSVA launching a new report focusing on the role of blockchain in safeguarding data and streamlining transactions.
Other sessions included:
The Intersection of Web3, AI, and Emerging Tech – Somi Aran, Founder of InPeak gave the opening keynote which explored the dynamic convergence of Web3, Artificial Intelligence, and emerging technologies. She delved into how these technologies are reshaping industries and redefining the boundaries of innovation and the potential impacts and opportunities these technologies present.
Bridging the gap: Making Web3 technologies user-friendly – Christine Leong, CIO, nChain – discussed some of the innovative strategies and practical solutions aimed at simplifying Web3 technologies. She also discussed how nChain is planning to transform Web3 from a domain exclusive to the tech-savvy, into a user-friendly ecosystem that empowers all users.
Is code law? – Rules applicable to blockchain networks – panel featuring Marcin Zarakowski, CEO of Token Recovery, Akber Datoo CEO of D2 Legal Technology, Jeffrey Golden, King’s Counsel (Hon) at 3 Hare Court Chambers, Andrei Kirilenko, Professor of Finance at Cambridge Judge Business School, Professor Sarah Green, Law Commissioner at Law Commission, where they discussed that rules apply to the nodes and validators which support the particular network and process its transactions. The group also discussed whether the blockchain protocols’ rules and software code are the only sources of regulation in blockchain networks.
An Introduction to nChain Identity – Thomas Moretti, Head of Product Development at nChain. He spoke about the Self Sovereignty Identity concept and showcased the latest project it is working on – nChain Identity.
Reimagining Roles: How regulated industry leaders are shaping the future of finance – a panel featuring, Andrew Mosson (Chief Commercial Officer of OneTrading, Néstor Palao, Head DLT & Corporate Clients at Sygnum Bank, Laurence Lewandowska, CFO/COO at BSV Association and Wojciech Kaszycki Chairman & Founder at Mobilum. The panel discussed how the new era of digital assets, traditional banking institutions, exchanges, and financial services are being reimagined in the context of emerging technologies such as blockchain and AI.
Please register here if you would like to listen to any of the sessions today. 
If you want to interview any speaker from today’s sessions, please email [email protected].
About the London Blockchain Conference NETWORK. LEARN. ENGAGE.  At the London Blockchain Conference, we show how Blockchain will change the world and help people see another way to manage data, build scalable on-chain solutions and achieve great things. We do this by creating valuable, insightful, and engaging events that educate and inform, allowing you to connect and network to build strong business relationships. Our conference is the best avenue to see blockchain innovations, ecosystem announcements, product launches, technology updates, keynote speeches, panels, and fireside chats from blockchain leaders. Join us and experience it for yourself. 

View original content:https://www.prnewswire.co.uk/news-releases/highlights-from-the-finale-day-three-of-the-london-blockchain-conference-unravelled-302154546.html

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Artificial Intelligence

Nord Anglia Education publishes new insights on the role of AI and metacognition in learning

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LONDON, May 23, 2024 /PRNewswire/ — INSIGHTS, the global publication from Nord Anglia Education, has published two new articles taking an in-depth look at AI in education and the role of metacognition in teaching and learning.

Exploring the role of AI in learning
https://www.nordangliaeducation.com/insights/2024/articles/the-generative-generationIn its ‘Generative Generation’ feature, INSIGHTS explores the role of artificial intelligence (AI) in education, and whether the technology is making it easier for children to learn. Speaking to Nord Anglia’s educators as well as leading experts from the world of academia, it also includes real-life examples of how Nord Anglia’s schools are using AI in the classroom.
For example, Nord Anglia’s British International School in Kuala Lumpur has adapted the technology to create an AI-powered teaching assistant that can personalise learning, guide students through content exploration, and deepen their understanding through interactive activities. Learners define the topic they want to explore and the course specification they are working to, and the AI explores the content with them in a conversational way, enabling them to ask questions as they go. 
Dr Bruce Geddes, Deputy Head of Secondary at the school, told INSIGHTS that AI represents “the biggest opportunity we’ve had in our lifetimes, for many, many spheres, but particularly in education”.
Avenues: The World School in New York, which became part of Nord Anglia in 2023, encourages its students to use AI in their work. As an example, in an app development project students use ChatGPT to generate the bulk of the coding, then review, correct and refine it. This saves them “hours of manual work by leveraging the appropriate tool in an academically appropriate way,” says Lia Muschellack, Director of Technology at the school.
The school also has its own generative AI chatbot, Savvy, built in 2019 and now powered by open AI technology. It can answer queries, provide information, and engage in “diverse discussions ranging from academic topics to casual conversations”.
“We understand that our students will be actively leveraging these tools throughout their academic and professional pathways, so we want to make sure they not only understand the potentials and limitations, but that they have tinkered and truly experienced them,” Muschellack explains.
Metacognition: a learning superpower
In its feature ‘Metacognition. Helping Kids Unlock the Power of ‘Thinking about Thinking’, INSIGHTS looks at how students can develop the important skill of metacognition.
“Metacognition is the ability to be aware of our cognitive or thought processes and to monitor, reflect on, and change those processes,” Dr Rose Luckin, Professor of Learner Centred Design at the University College London Knowledge Lab, told INSIGHTS.
Nord Anglia Education is working with Dr Luckin to develop its approach to metacognition and to help teachers introduce metacognitive strategies into classrooms. It has developed a metacognitive framework of six “Learner Ambitions” to help students develop the 6 Cs: to become critical, creative, committed, and curious learners, working compassionately and collaboratively in the classroom and beyond.
As the article explains, Nord Anglia’s deep dive into metacognition has many goals: developing student agency, boosting academic performance, and developing ‘future’ skills that employers want. The framework is being initially applied across 27 Nord Anglia schools around the world and its impact will be measured in independent research in partnership with Boston College, reporting in 2025.
Nord Anglia’s examination of metacognition also involves exploring personalised goals and thinking routines. For instance, students at Nord Anglia International School Hong Kong use the “Step In, Step Out, Step Back” routine to develop empathy and understanding in their studies. “It’s about asking the right questions; those really big questions that lead to even more questions,” says Raquel Thomson, the school’s Deputy Head of Primary. “Thinking strategies like this stay with students and serve a purpose whatever they do in their lives, whether they choose to be a scientist or a teacher or go into business.”
For media enquiries please contact: Francesca Milani Communications Manager, Digital Education Portfolio +44 20 7131 0000 [email protected] 
About Nord Anglia Education:
As the world’s leading international schools organisation, we’re shaping a generation of creative and resilient global citizens who graduate from our schools with everything they need for success, whatever they choose to be or do in life.  
Our strong academic foundations combine world-class teaching and curricula with cutting-edge technology and facilities, creating learning experiences like no other. Inside and outside of the classroom, we inspire our students to achieve more than they ever thought possible.  
No two children learn the same way, which is why our schools around the world personalise learning to what works best for every student. Inspired by our high-quality teachers, our students achieve outstanding academic results and go on to study at the world’s top universities.  
To learn more or apply for a place for your child, go to nordangliaeducation.com.
Logo: https://mma.prnewswire.com/media/1503193/3645357/Nord_Anglia_Education_Logo.jpg
 

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