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Artificial Intelligence

EQT Exeter and Grupo Moraval form EUR 500m joint venture to deliver portfolio of purpose-built student accommodation assets in Spain

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EQT Exeter is pleased to announce that the EQT Real Estate II fund (“EQT Exeter”) has launched a joint venture (the “JV”) with Grupo Moraval (“Grupo Moraval”), a leading Spanish developer with an approximate 30 percent market share of the “purpose-built student accommodation” (“PBSA”) facilities that have been or are currently being developed in Spain between 2020 and 2022. The JV is expected to have an initial capacity to establish an investment portfolio valued at over EUR 300 million and has aspirations to ultimately grow the portfolio to a value in excess of EUR 500 million.

The student housing market in Spain has experienced rapid growth due to favorable demographic trends such as a steadily growing population of 18-24-year-olds and an increase of young people pursuing higher education. Despite this, many of the country’s university cities suffer from a lack of high-quality student housing with large groups of young people in need of accommodation. The population of people within this age group has increased consistently since the 2015/2016 academic year at a compound annual growth rate of 5.7 percent1.

The JV will focus on delivering a portfolio of PBSA facilities in Spanish cities with growing student housing demand and a relatively low percentage of the respective city’s students who can be accommodated under currently available student housing, also referred to as the provision rate. An example of this is Málaga, where the educational offering is expected to grow even further as the municipality recently offered public land for the establishment of two new universities. Through Grupo Moraval’s in-house market intelligence platform that analyzes the need for student accommodation in university cities across Spain together with EQT’s digitization team, the JV expects it will be able to identify important market trends and future housing demand in an efficient and concise fashion.

The JV’s two initial sites in Seville and Málaga comprise approximately 1,150 and 350 beds, respectively. Located next to two of University of Sevilla’s largest campuses, Pirotecnia and Ramón y Cajal, the Seville site is also within walking distance to the main faculties and the city center and next to the San Bernardo public transportation hub. The Málaga site will be located in the University of Málaga Teatinos campus and is within walking distance to the main faculties and to the public transportation hub which provides easy access to the city center. Construction of the Seville site has already commenced and is expected to be finished by the beginning of the 2022/2023 academic year while the Málaga site is currently anticipated to be delivered by the beginning of the 2024/2025 academic year.

The JV’s assets will be let at market-rate rents under the newly created “Nodis” brand. Nodis expects to embody strong values of dynamism, vitality and safety in its operations. As such, the residences will be equipped with state-of-the-art facilities, high-quality amenities and premium services including but not limited to gyms, private lounges, living and gaming areas, libraries, work and study spaces, cinemas, parking, free high-speed internet and rooftop terraces.

Consistent with other EQT Exeter transactions, the JV’s assets will be developed with strong sustainability credentials and seek to achieve green certifications such as LEED (Leadership in Energy and Environmental Design) and GRESB (Global ESG Benchmark for Real Assets). The buildings will promote sustainable living practices and utilize photovoltaic panels on the roof, provide electric vehicle charging stations and spaces for carpool vehicles, use native or adapted plants which don’t require a permanent irrigation system and employ high efficiency- low consumption fixtures and fittings.

Carlos Molero, Managing Director, Investment Advisor to EQT Exeter, said, “We are excited to enter the Spanish student housing market alongside market leader Grupo Moraval. This joint venture is an excellent example of EQT Exeter’s ‘local with locals’ approach of sourcing attractive opportunities and investing in thematic trends which are decoupled from the financial cycle. We see a clear opportunity to deliver a portfolio of high social impact, purpose-built student accommodation in Spanish cities which are experiencing a supply-demand imbalance. In addition to the joint venture’s initial sites in Seville and Málaga, we are evaluating a growing pipeline of projects to build a large-scale, resilient and downside-protected portfolio.”

Rob Rackind, Partner and Investment Advisor to EQT Exeter, said, “This joint venture with Grupo Moraval marks a landmark entrance into Spain for EQT Exeter. It is an example of our ‘business to consumer’ efforts which are focused on taking advantage of the demographic transformations that are occurring across Europe. This strategy is manifesting itself through the delivery of over 8,000 beds across Europe over the next few years via a number of additional platforms that we have established. These include the delivery of a GBP 1bn+ private rented residential portfolio in Greater London, a EUR 400m+ mobility-impaired rental housing portfolio across France and a EUR 300m senior care portfolio in Northern Italy, all of which are expected to benefit from continued favorable supply-demand dynamics, urbanization and population growth.”

Alvaro Soto, CEO of Grupo Moraval, said, “Grupo Moraval is delighted to partner with EQT Exeter, which is well-known for its hands-on value creation strategies, in this ambitious project. Together, we will aim to further advance the purpose-built student housing offering in one of the most dynamic and fastest-growing higher education markets in Europe. Students both nationally and internationally are increasingly seeking tailored, cost-efficient housing options and EQT Exeter and Moraval share the same vision on how to build and manage sustainable and digitally innovative accommodation for this segment.”

Berta Guillamón, Chief Marketing Officer of Nodis, said, “Nodis student residences will be aligned with today’s youth: dynamic, vibrant and with a spirit of self-improvement. With a team experienced in managing accommodation for students, Nodis creates spaces to live, learn and create new connections in an enriching and creative environment with sustainability at its core.”

Artificial Intelligence

AI In Life Science Analytics Market worth $3.56 Bn by 2031 – Exclusive Report by InsightAce Analytic Pvt. Ltd.

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JERSEY CITY, N.J., May 2, 2024 /PRNewswire/ — InsightAce Analytic Pvt. Ltd. announces the release of a market assessment report on the “Global AI In Life Science Analytics Market – By Component (Software, Hardware, Services), By Deployment (On-premise, Cloud), By Application (Research and Development, Sales and Marketing support, Supply chain analytics), By End-user (Medical Devices, Pharmaceutical, Biotechnology)), Trends, Industry Competition Analysis, Revenue and Forecast To 2031.”

According to the latest research by InsightAce Analytic, the Global AI In Life Science Analytics Market is valued at US$ 1.63 Bn in 2023, and it is expected to reach US$ 3.56 Bn by 2031, with a CAGR of 10.39% during the forecast period of 2024-2031.
Request for Sample Pages: https://www.insightaceanalytic.com/request-sample/2456 
AI in the context of life science analytics refers to the use of AI techniques and tools for the analysis of biological as well as environmental data. With the use of artificial intelligence (AI), life science analytics may make better use of complex healthcare, medical, and scientific information by applying high-level computational algorithms. 
The goal of life science analytics is to find useful patterns in massive amounts of medical, clinical, and biological data by applying various data analysis tools and techniques. Because of its superior computing and learning capabilities, AI is indispensable in improving life science analytics. The demand for more accurate and tailored techniques in healthcare and the life sciences, together with the rising availability of data, is projected to propel artificial intelligence in the life science analytics market to new heights as the discipline undergoes more development.
Pharmaceutical spending on complex diseases like cancer is on the rise, which is fueling the expansion of artificial intelligence in the life science analytics industry. However, implementing artificial intelligence (AI) solutions can be prohibitive for smaller organizations, making investing in the necessary technology and training difficult.
List of Significant Players in the AI In Life Science Analytics Market:
IndegeneLexalyticsDatabricksSAS Institute Inc.SisenseIQVIAIBMSorcero AtomwiseNuMediiAiCure LLCNuance CommunicationsAPIXIO, IncInsilico MedicineOther Market PlayersAI In Life Science Analytics Market Report Scope:
Report Attribute
Specifications
Market Size Value In 2023
USD 1.63 Bn
Revenue Forecast In 2031
USD 3.56 Bn
Growth Rate CAGR
CAGR of 10.39 % from 2024 to 2031
Quantitative Units
Representation of revenue in US$ Million and CAGR from 2024 to 2031
Historic Year
2019 to 2023
Forecast Year
2024-2031
Report Coverage
The forecast of revenue, the position of the company, the competitive market structure, growth prospects, and trends
Segments Covered
By Component, Application, Deployment, And End-Use
Regional Scope
North America; Europe; Asia Pacific; Latin America; Middle East & Africa
Market Dynamics:
Drivers- 
The growing demand for AI in the life science analytics market is fueled by the exponential growth of data in the life sciences. Conventional methods of data analysis need to be revised in the face of the enormous amounts of biological, clinical, and healthcare data produced by genomics, proteomics, and electronic health records. Artificial intelligence (AI) has arisen as a game-changing solution because of its superior processing capabilities; it can handle and derive valuable insights from these immense and complicated datasets with ease. Incredible possibilities for pattern discovery, disease outcome prediction, and optimization of healthcare and life sciences research await in the mountains of data. Utilizing AI, researchers, healthcare experts, and pharmaceutical businesses can easily integrate and analyze various forms of data, which in turn allows them to uncover useful insights.
Challenges:
The prime challenge is a lack of awareness, a shortage of competent individuals, and a lack of norms and protocol because of lockdowns and isolation in emerging countries, which is predicted to slow the growth of AI in the life science analytics market. The low level of implementation of AI in several healthcare settings. There is no denying AI’s revolutionary promise in healthcare, yet smaller or less tech-savvy healthcare organizations face challenges when trying to integrate these new technologies. In these contexts, adoption is more gradual because of a lack of resources, including both financial commitment and trained staff. Implementing AI systems is complex, necessitating specialized training and infrastructure changes, which adds to the already existing difficulties. In addition, the health and life science sectors were helped by the COVID-19 epidemic. There was a dramatic uptick in the use of artificial intelligence (AI) for life science analytics as a response to the epidemic, which prompted the industry to speed up innovation in the face of such a dire threat. During the pandemic, markets worldwide grew because of AI-driven discoveries, not the months-long and similarly costly traditional methods of vaccine recognition.
Regional Trends:
The North American AI in life science analytics market is anticipated to record a large market share in terms of revenue. It is projected to grow at a high CAGR in the near future due to the high need for AI solutions in almost every field of life science. Artificial intelligence (AI) solutions for biotech, precision medicine, and drug development are in high demand in this country. Besides, Asia Pacific had a remarkable share in the market due to the fact that numerous research firms have ramped up their investments in artificial intelligence software and technology in an effort to boost operational efficiency.
Curious About This Latest Version Of The Report? Enquiry Before Buying: https://www.insightaceanalytic.com/enquiry-before-buying/2456
Recent Developments:
In Feb 2024, Wipro and IBM extended their partnership in order to provide clients with new AI services and support. the Wipro enterprise ai-ready platform was developed by Wipro and IBM in the course of an extensive collaboration. The expanded collaboration merged the technological prowess and industry knowledge of Wipro with IBM’s pioneering hybrid cloud and AI developments. The objective was to develop collaborative solutions that facilitated the progress of integrating, enterprise-ready, dependable, and comprehensive artificial intelligence solutions.In Dec 2022, Quantori formed a partnership with Databricks to expedite data-driven advancements in the fields of life sciences and healthcare. Quantori created solutions using the Databricks Lakehouse Platform to offer immediate insights into real-world data to enhance patient outcomes for researchers and physicians.Segmentation of AI In Life Science Analytics Market-
By Component-
SoftwareHardwareServicesBy Deployment-
On-premiseCloudBy Application-
Research and DevelopmentSales and Marketing supportSupply chain analyticsOthersBy End-user-
Medical DevicesPharmaceuticalBiotechnologyBy Region-
North America-
The USCanadaMexicoEurope-
GermanyThe UKFranceItalySpainRest of EuropeAsia-Pacific-
ChinaJapanIndiaSouth KoreaSouth East AsiaRest of Asia PacificLatin America-
BrazilArgentinaRest of Latin America Middle East & Africa-
GCC CountriesSouth AfricaRest of the Middle East and AfricaFor More Customization @ https://www.insightaceanalytic.com/customisation/2456 
Why should buy this report:
To receive a comprehensive analysis of the prospects for global AI In Life Science Analytics marketTo receive industry overview and future trends of global AI In Life Science Analytics marketTo analyze the AI In Life Science Analytics market drivers and challengesTo get information on the AI In Life Science Analytics market size value (US$ Mn) forecast till 2031Major Investments, Mergers & Acquisition in global AI In Life Science Analytics market industryOther Related Reports Published by InsightAce Analytic:
Life Science Tools Market 
Big Data in Healthcare Market 
Digital Twins in Healthcare Market
eConsent In Healthcare Market
About Us:
InsightAce Analytic is a market research and consulting firm that enables clients to make strategic decisions. Our qualitative and quantitative market intelligence solutions inform the need for market and competitive intelligence to expand businesses. We help clients gain competitive advantage by identifying untapped markets, exploring new and competing technologies, segmenting potential markets and repositioning products. Our expertise is in providing syndicated and custom market intelligence reports with an in-depth analysis with key market insights in a timely and cost-effective manner.
Contact US:InsightAce Analytic Pvt. Ltd.Tel.: +1 551 226 6109Email: [email protected] Visit: www.insightaceanalytic.comFollow Us on LinkedIn @ bit.ly/2tBXsgS
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Artificial Intelligence

Fiix by Rockwell Automation Announces Industry-Leading GenAI Prescriptive Work Orders

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Included in Fiix Asset Risk Predictor, Fiix Prescriptive Maintenance transforms asset health predictions into actionable work orders
BRUSSELS, May 2, 2024 /PRNewswire/ — Rockwell Automation, Inc. (NYSE: ROK), the world’s largest company dedicated to industrial automation and digital transformation, is excited to add cutting-edge, generative artificial intelligence (GenAI) prescriptive work orders to Fiix Asset Risk Predictor software, creating the first complete predictive and prescriptive maintenance solution to help manufacturers eliminate unplanned downtime.

Fiix Asset Risk Predictor’s powerful AI can be set up in as little as two weeks and starts predicting asset failures days in advance. With the addition of Fiix Prescriptive Maintenance, it now features GenAI capabilities that transform failure predictions into detailed, actionable work orders for maintenance teams.
Work orders are generated using asset data, completed work orders and trusted maintenance sources. Teams can then review and edit work orders, and instantly push them to any computerized maintenance management system (CMMS) or enterprise asset management (EAM) tool. All data is kept completely private and protected by the highest security standards.
“With Fiix Prescriptive Maintenance, you can turn asset data into the predictions and work orders you need to drastically reduce unplanned downtime, boost operational equipment effectiveness (OEE), and make better use of resources,” says Sandy D’Souza, senior director sales, Americas, Fiix by Rockwell Automation. “It also helps close the maintenance knowledge gap, ensuring everyone has access to detailed asset and work order information, whether they’ve just started their career or have decades of experience at a company.”
By bringing together AI-powered predictive maintenance and actionable GenAI work orders, Fiix Asset Risk Predictor ensures manufacturers see results in the fastest time possible.
Fiix Asset Risk Predictor, now including Fiix Prescriptive Maintenance, can be purchased and used independently from the Fiix CMMS or seamlessly integrated with it. It can also be integrated with any CMMS or EAM your company uses.
About Rockwell Automation 
Rockwell Automation, Inc. (NYSE: ROK), is a global leader in industrial automation and digital transformation. We connect the imaginations of people with the potential of technology to expand what is humanly possible, making the world more productive and more sustainable. Headquartered in Milwaukee, Wisconsin, Rockwell Automation employs approximately 29,000 problem solvers dedicated to our customers in more than 100 countries. To learn more about how we are bringing the Connected Enterprise to life across industrial enterprises, visit www.rockwellautomation.com. 
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Artificial Intelligence

Breaking New Ground: Sentiance Introduces First Mobile Crash Detection for Motorcycles

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ANTWERP, Belgium, May 2, 2024 /PRNewswire/ — Sentiance, a leader in road safety solutions, today announces a significant advancement in motorcycle safety with the expansion of its mobile Crash Detection technology. Originally developed for cars, this first-of-its-kind solution is now tailored specifically for motorcycles.

Built on state-of-the-art interpretive AI and machine learning models, Sentiance’s Crash Detection technology utilizes smartphone sensors and GPS data to analyze motion data in real-time. This enables the system to detect potential impacts with exceptional accuracy and reliability, addressing the unique dynamics of motorcycles. Unlike other systems, Sentiance’s technology operates directly on-device, ensuring a high level of privacy and data security.
“Today we see around 30% of all road crash deaths globally involving motorcycles, with countries like Thailand having an average of 5,000 motorcyclist deaths recorded annually. Ahead of the game, we’re not just enhancing safety features for those motorcycle riders, we are fundamentally transforming their safety landscape,” said Toon Vanparys, CEO of Sentiance. “This technology is not only a game-changer for individual safety but also addresses a significant need in markets where motorcycles are essential for daily transport and industries like food, grocery, and document delivery.”
This technology is especially crucial in regions like APAC, the Middle East, India, Africa, and South America, to transform road safety standards and make advanced safety tools easily accessible. Sentiance’s scalable and affordable technology ensures that even in cost-sensitive markets, safety, and privacy are not compromised.
By reducing accident response times and improving driving behaviors through data-driven insights, Sentiance’s mobile Crash Detection promises to reduce accident response times, saving lives and improving road conditions globally.
About Sentiance
Sentiance is the leader in motion insights. Our mission is to save lives every day and shape the future of road safety. Unlike telematics companies, we focus on the driver and not the vehicle because most accidents are caused by human error. 
With our revolutionary on-device AI technology, companies use insights from The Edge Platform to produce scalable, cost-efficient, and privacy-centric solutions for their customers.

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