Through artificial intelligence and machine learning, Hitch helps companies find the talent most compatible with their organizational culture.

Let the business resources in our guide inspire you and help you achieve your goals in 2021.

January26, 20214 min read

Hitch is the talent discovery platform that offers the information based on data and on the development of applied neuroscience with Artificial Intelligence that companies need to select the best professionals, develop leaders and discover talents, that is, find that needle in the haystack for their key positions.

Among many things that are changing, for example, the traditional job interview has changed forever. Now, video interviews are studied by algorithms and in this way it is possible to know with much greater precision and depth the qualities of the candidates. That, in addition to many other resources, are part of what Hitch offers, the tech people created by Mexican entrepreneurs.

With Hitch, recruiting tasks can be carried out remotely, having access to a number of CV's that it is impossible to manually review for any company. We also facilitate talent inclusion decision-making based on the candidate's capabilities, qualities and compatibility with the company. All of this substantially raises the level of success in hiring and long-term retention of employees.

We free up the time of Human Capital personnel in companies so that they can focus on tasks that need greater human action, such as strengthening the organizational culture and the development and training of talent.

"At Hitch , we help companies discover the talent they need to be successful," said Gabriela Ceballos, CEO of Hitch during the press conference. "This launch makes finding talent an agile, intelligent and humane experience, injecting the right amount of technology to drive data-driven insights for better decision making. The fact that everything can be done virtually makes launching this product after a year marked by the COVID19 pandemic, is good news for companies and candidates. In addition, by finding the right candidate for the right position we generate long-term happy relationships where companies and talent develop their full potential. "

This SaaS offers:

" Hitch combines the best of neuroscience and organizational psychology with technology, creating a solution that generates great results by analyzing many more candidates and screening the most suitable ones step by step to ensure that companies find who they need, in addition to generating an experience of humane, fair user and with the least possible bias, comments Dr. Ral Arrabales, PhD in Computer Science and Artificial Intelligence and VP of Product at Hitch.

Gabriela Ceballos CEO Hitch. Photo: Courtesy

Because of Hitch's potential, we were able to raise $ 400,000 in pre-seed capital. For our first year in operations we plan to have more than 100 companies in our portfolio, in addition to that we will be processing more than 50,000 jobs for our clients, assured Ceballos.

As Hitch expands its Artificial Intelligence capabilities, the company is committed to a transparency approach, providing a clear path to how algorithms are built and how success predictions are made.

Hitch has experts in technology and psychology who monitor artificial intelligence and ensure the accuracy and fairness of algorithms. For the same reason, still in the pilot phase, it has been selected as part of the program for the Prototype of Public Policy on Transparency and Explicability of AI systems led by

C Minds, Facebook, the Inter-American Development Bank Group and the National Institute for Transparency, Access to Information and Protection of Personal Data (INAI).

Hitch enables companies to make the best decisions about their talent selection from hiring to targeting the type of leadership and culture they want to create for their human capital. Our talent and culture analytics, using AI and machine learning, provide companies with a competitive advantage when recruiting through a deep understanding of their candidates and the qualities that drive success. The result is outstanding employee performance, transforming the average workforce into high-performance, exponentially growing companies.

Link:
This Startup Uses Artificial Intelligence to Help Companies Find Employees Who Fit Their Culture - Entrepreneur

Spurred by the demands of the COVID-19 pandemic, researchers at Princeton and Google are applying mechanical engineering and artificial intelligence to increase the availability and effectiveness of ventilation treatments worldwide.

Ventilators and their support equipment are expensive and complex devices that require expert attention from doctors and other highly trained medical workers. The devices must be carefully calibrated and monitored to ensure they are meeting a range of parameters pressure, volume, breath rate tuned to each individual patient. Often, these measures change during treatment, requiring further tuning.

If that monitoring and adjustment is handled by artificial intelligence, it could ease the burden on medical workers and allow ventilators to be deployed in areas with staffing shortages. That was the logic that led Elad Hazan, a professor of computer science and director of Google AI Princeton, and Daniel Cohen, an assistant professor of mechanical and aerospace engineering, to launch the project.

Graduate student Daniel Suo and senior Paula Gradu are part of a team of researchers using AI to improve the way ventilators assist patients.

Photo by

Aaron Nathans, Office of Engineering Communications

Modern ventilators seek to maximize clinical outcomes while at the same time protecting patients from excessive levels of pressure and volume, said Daniel Notterman, a board certified pediatric intensive care physician with experience managing patients with respiratory failure, who is also a lecturer with the rank of professor in molecular biology. Although conceptually simple, the regulation of ventilator performance is extremely complex. This effort provided the opportunity for experts in programming, engineering and clinical medicine to rethink many of the usual solutions, under the leadership of Professor Cohen.

Since the initial COVID-19 outbreak last spring, Cohens team had been working to design low-cost ventilators using readily available parts. Initially, Cohen met with Hazan to discuss a control system for the new design. But the researchers realized that artificial intelligence could improve controls for all ventilators, not just the type designed at Princeton.

The hypothesis is that applying AI tools can make systems more robust and safer, Hazan said.

Access to Cohens ventilator has been critical, Hazan said. The physics underlying breathing is complex, and breaking the fluid dynamics down into working equations is generally impractical and inaccurate. So instead of approaching the control problem through the physics of the lungs, the researchers ran experiments on the Cohen teams ventilators and applied machine learning to uncover patterns in the data that would guide the safe and effective operation of the ventilator.

Tom Zajdel, a post doctoral researcher, was part of the team that designed and built a new ventilator at Princeton. The open-source design uses readily available parts.

The development of the ventilator began as part of an effort by Cohen and Notterman to design a new system that was inexpensive and could be assembled from off-the-shelf parts.

It basically goes together like Legos, said Julienne LaChance, a graduate student in Cohens lab who led the prototype construction efforts from her garage. I picture my high school robotics team putting this together.

The ventilator is now fully built and meets key FDA performance standards, while costing less than $1,500 a tenth or twentieth the price of commercial ventilators, Cohen said. The team is now actively seeking manufacturing partners to help push for regulatory approval, especially in less affluent countries in need of ventilators.

We have been using robust, simple parts that we put together with a lot of very well done software and coding, said Cohen. We are trying to develop a generalized platform that anyone can work with, or improve upon, anywhere in the world, even after the pandemic.

Researchers from Hazans lab include senior Paula Gradu; graduate studentsXinyi Chen, Udaya Ghai, Edgar Minasyan,Karan SinghandDaniel Suo; and recent Ph.D. graduatesNaman AgarwalandCyril Zhang. In addition to LaChance, Notterman and Cohen, the local Princeton ventilator team includes postdoctoral researchersTom ZajdelandManuel Schottdorf, senior research software engineer Grant Wallace, and graduate studentsSophie DvaliandZhenyu Song, as well as a number of external collaborators.

Editors note: For the full version of this story, visitthe Engineering website.

Read more:
Engineering and artificial intelligence combine to safeguard COVID-19 patients - Princeton University

New York, Jan. 29, 2021 (GLOBE NEWSWIRE) -- Reportlinker.com announces the release of the report "Artificial Intelligence In Medical Imaging Market Research Report by Application, by End-user - Global Forecast to 2025 - Cumulative Impact of COVID-19" - https://www.reportlinker.com/p06015799/?utm_source=GNW

Market Statistics:The report provides market sizing and forecast across five major currencies - USD, EUR GBP, JPY, and AUD. This helps organization leaders make better decisions when currency exchange data is readily available.

1. The Global Artificial Intelligence In Medical Imaging Market is expected to grow from USD 612.97 Million in 2020 to USD 1,934.97 Million by the end of 2025.2. The Global Artificial Intelligence In Medical Imaging Market is expected to grow from EUR 537.46 Million in 2020 to EUR 1,696.61 Million by the end of 2025.3. The Global Artificial Intelligence In Medical Imaging Market is expected to grow from GBP 477.80 Million in 2020 to GBP 1,508.29 Million by the end of 2025.4. The Global Artificial Intelligence In Medical Imaging Market is expected to grow from JPY 65,419.43 Million in 2020 to JPY 206,510.33 Million by the end of 2025.5. The Global Artificial Intelligence In Medical Imaging Market is expected to grow from AUD 890.11 Million in 2020 to AUD 2,809.83 Million by the end of 2025.

Market Segmentation & Coverage:This research report categorizes the Artificial Intelligence In Medical Imaging to forecast the revenues and analyze the trends in each of the following sub-markets:

Based on Application, the Artificial Intelligence In Medical Imaging Market studied across Digital Pathology and Oncology.

Based on End-user, the Artificial Intelligence In Medical Imaging Market studied across Hospitals & Diagnostic Centers.

Based on Geography, the Artificial Intelligence In Medical Imaging Market studied across Americas, Asia-Pacific, and Europe, Middle East & Africa. The Americas region surveyed across Argentina, Brazil, Canada, Mexico, and United States. The Asia-Pacific region surveyed across Australia, China, India, Indonesia, Japan, Malaysia, Philippines, South Korea, and Thailand. The Europe, Middle East & Africa region surveyed across France, Germany, Italy, Netherlands, Qatar, Russia, Saudi Arabia, South Africa, Spain, United Arab Emirates, and United Kingdom.

Company Usability Profiles:The report deeply explores the recent significant developments by the leading vendors and innovation profiles in the Global Artificial Intelligence In Medical Imaging Market including 3Scan, Agfa Healthcare, Arterys, Butterfly Network, Inc., EchoNous, Inc., Enlitic, Inc., GE Healthcare, IBM Corporation, NVIDIA Corporation, and Siemens.

Cumulative Impact of COVID-19:COVID-19 is an incomparable global public health emergency that has affected almost every industry, so for and, the long-term effects projected to impact the industry growth during the forecast period. Our ongoing research amplifies our research framework to ensure the inclusion of underlaying COVID-19 issues and potential paths forward. The report is delivering insights on COVID-19 considering the changes in consumer behavior and demand, purchasing patterns, re-routing of the supply chain, dynamics of current market forces, and the significant interventions of governments. The updated study provides insights, analysis, estimations, and forecast, considering the COVID-19 impact on the market.

360iResearch FPNV Positioning Matrix:The 360iResearch FPNV Positioning Matrix evaluates and categorizes the vendors in the Artificial Intelligence In Medical Imaging Market on the basis of Business Strategy (Business Growth, Industry Coverage, Financial Viability, and Channel Support) and Product Satisfaction (Value for Money, Ease of Use, Product Features, and Customer Support) that aids businesses in better decision making and understanding the competitive landscape.

360iResearch Competitive Strategic Window:The 360iResearch Competitive Strategic Window analyses the competitive landscape in terms of markets, applications, and geographies. The 360iResearch Competitive Strategic Window helps the vendor define an alignment or fit between their capabilities and opportunities for future growth prospects. During a forecast period, it defines the optimal or favorable fit for the vendors to adopt successive merger and acquisition strategies, geography expansion, research & development, and new product introduction strategies to execute further business expansion and growth.

The report provides insights on the following pointers:1. Market Penetration: Provides comprehensive information on the market offered by the key players2. Market Development: Provides in-depth information about lucrative emerging markets and analyzes the markets3. Market Diversification: Provides detailed information about new product launches, untapped geographies, recent developments, and investments4. Competitive Assessment & Intelligence: Provides an exhaustive assessment of market shares, strategies, products, and manufacturing capabilities of the leading players5. Product Development & Innovation: Provides intelligent insights on future technologies, R&D activities, and new product developments

The report answers questions such as:1. What is the market size and forecast of the Global Artificial Intelligence In Medical Imaging Market?2. What are the inhibiting factors and impact of COVID-19 shaping the Global Artificial Intelligence In Medical Imaging Market during the forecast period?3. Which are the products/segments/applications/areas to invest in over the forecast period in the Global Artificial Intelligence In Medical Imaging Market?4. What is the competitive strategic window for opportunities in the Global Artificial Intelligence In Medical Imaging Market?5. What are the technology trends and regulatory frameworks in the Global Artificial Intelligence In Medical Imaging Market?6. What are the modes and strategic moves considered suitable for entering the Global Artificial Intelligence In Medical Imaging Market?Read the full report: https://www.reportlinker.com/p06015799/?utm_source=GNW

About ReportlinkerReportLinker is an award-winning market research solution. Reportlinker finds and organizes the latest industry data so you get all the market research you need - instantly, in one place.

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Artificial Intelligence In Medical Imaging Market Research Report by Application, by End-user - Global Forecast to 2025 - Cumulative Impact of...

To look at the types of actions that businesses should be taking, Digital Journal caught up with Rick Farnell, who is the President and CEO of Protegrity, a data security company. Farnell has experience with helping to incubate, fund and scale startups in the AI market. The advice comes as a timely reminder for Data Privacy Day.According to Rick Farnell: This years Data Privacy Day marks a unique milestone in the maturity of online privacy. For decades, security has been focused on perimeter defenses, such as stopping attackers from getting through networks, endpoints, and applications."This was fine once, but things have changed has Farnell explains: "However, these measures and even old-school methods like coarse-grained data protection are virtually ineffective when it comes to providing a meaningful assurance of privacy for the billions of human beings on the planet. On this Data Privacy Day, we as an industry should go forward with the knowledge that fine-grained data protection will be critical for the future of online privacy."Central to the measures that need to be taken are with digital technologies and a transformation of businesses culture, as Farnell explains: Over the past year, the pandemic has fast-tracked digital transformation, AI, and data analytics timelines for many companies far beyond the level of innovation that would have happened under normal circumstances. This has forced businesses to reckon with the age-old struggle between the freedom to innovate and the level of control required by IT."The most important technological step, according to Farnell is artificial intelligence, as he outlines: Without a doubt, AI will be the next frontier of innovation for businesses across the globe. However, while AI is poised to radically improve the lives of every person on the planet, privacy concerns remain. For businesses to finally unlock the full potential of AI, they must first find ways to become responsible caretakers of their customers' sensitive information."Pulling his analysis together, Farnell loops back to Data Privacy Day: To this end, I believe that the organizers of Data Privacy Day have selected a very apt theme for businesses this year: Respect Privacy. Privacy truly is a fundamental human right and necessitates human-centric solutions to protect the peoples data and enable organizations to be responsible data stewards.

Read more from the original source:
Is artificial intelligence the answer to data privacy protection? (Includes interview) - Digital Journal

Access to digital technologies has enabled many to work, learn and live during the COVID-19 pandemic. However, the pandemic has exposed and exacerbated existing gaps and inequalities: almost half of the global population, some 3.6 billion people, remain offline and broadband services are too expensive for 50% of the population in developed countries. These connectivity deserts hamper access to health, education and economic inclusion.

To ensure global and equitable access to the digital economy, the World Economic Forum is launching the Essential Digital Infrastructure and Services Network, or EDISON Alliance. The Alliance will work with governments and industries to accelerate digital inclusion. Its goal is to ensure an unprecedented level of cross-sectoral collaboration between the technology industry and other critical sectors of the economy.

A multi-sector Board will steer the Alliance. Hans Vestberg, Chairman and Chief Executive Officer, Verizon, will serve as Chair of the Alliance and Board. He is joined by Paula Ingabire, Rwandas Minister for ICT and Innovation; Ajay Banga, Mastercard Executive Chair; Shobana Kamineni, Executive Vice-Chairperson of Apollo Hospitals Group; and Robert F. Smith, Founder, Chairman and CEO of Vista Equity Partners. The World Economic Forum will serve as the secretariat and platform for the Alliance. A wider group of Champions Leaders will advise and support the Alliance.

This marks the first time so many private and public sector leaders from across industries are coming together to close the digital divide. Accelerating affordable access to digitally enabled services like healthcare, education or financial services is foundational to economic recovery and social cohesion. Achieving this will take deep, sustained collaboration. It is critical that we move together and that we move fast. Derek OHalloran, Member of the Executive Committee, Head of the Digital Economy at the World Economic Forum.

The EDISON Alliance will prioritize digital inclusion as a platform of partners with a common purpose for achieving the Sustainable Development Goals. In 2021, the Alliance will focus on increasing digital inclusion in healthcare, education and financial services.

Quotes from the EDISON Alliance Board Members:

Hans Vestberg, Chairman and CEO, Verizon Chairman of The EDISON Alliance: Over the past ten months we have seen just how impactful connectivity and access to digital technologies is to working, learning and transacting. Ive long believed that mobility, broadband, and cloud services are the 21st centurys infrastructure, but to use them to their greatest impact, we need to galvanize both the private and the public sectors. This is a critical moment for leaders across all sectors to join forces and recognize access and affordability to digital services as a top priority for recovery in every country.

Ajay Banga, Mastercard Executive Chair: There is no Internet of Everything without the inclusion of everyone. But by putting our collective capabilities to work connecting people and businesses in the right waywith secure access and informed usagewe can start to tackle other barriers, like access to capital, and provide other opportunities for growth. Digital Inclusion sets people up for so many other kinds of inclusion.

Paula Ingabire, Minister for ICT & Innovation, Rwanda: We have seen tremendous collaborations during the pandemic to enable greater access to digital services. Moving forward we need even greater mobilization of all levels of government and private sector organizations to develop impactful solutions that will ensure equitable and affordable access to broadband connectivity, in order to achieve the targets set for 2025.

Shobana Kamineni, Executive Vice-Chairperson, Apollo Hospitals: The age of health IOT was propelled to warp speed during the Covid pandemic across the globe. Geography, distances and convenience converged to make teleconsults available not only to those in distant locations, but also to cities in lockdown. In the US, telehealth usage jumped from 11% in 2019 to 46%, whilst in India, there was a massive jump of 300%in online consultations. Digital health is on trajectory to make health & well-being ubiquitous, affordable and life enhancing and as we transition to the post-Covid world, we will need to accelerate this effort through value-based digital services.

Robert F. Smith, Founder, Chairman and CEO, Vista Equity Partners: Connectivity is oxygen for opportunity. The global pandemic laid bare the divide between those who are connected and the billions who are not. Just as we push for equitable access to clean air and water, we also need to scale up access to broadband, devices, and digital literacy, which are onramps to education, healthcare, financial services, and human empowerment. This will require investment and coordination across countries and sectors, and the EDISON Alliance is an important platform to advance this mission.

Related

See the article here:
Global Initiative to Advance the Promise of Responsible Artificial Intelligence - Modern Diplomacy

New York-based Moodys Analytics has enjoyed considerable success across a number of WatersTechnologys awards programs over the yearsfor example, in 2020 it won the best credit risk solution provider category in the Waters Rankingsalthough a win in the AFTAs has always eluded the financial intelligence and analytical tools specialist. Until the 2020 AFTAs that is: This year, Moodys Analytics walks away with a pair of wins, the first of them coming in the best artificial intelligence (AI) technology initiative category, thanks to its QUIQspread offering, an AI-based financial spreading tool unveiled in 2020, designed to help institutions automate the spreading of financial statements.

Financial spreading is the manually intensive process through which lenders extract key data from unstructured financial statements from the purposes of conducting credit risk analysis on borrowers. According to Eric Grandeo, senior director, product manager at Moodys Analytics, QUIQspread uses machine learning technology to automate the financial spreading process, resulting in normalized datasets and allowing lenders to make faster and more judicious lending and credit decisions. Its a process that can be cumbersome and inconsistent, potentially resulting in costly mistakes, Grandeo explains. Lenders want to empower their relationship managers and analysts to focus more on high-value credit risk analysis tasks and increase their throughput in the most efficient way possible, and QUIQspread helps them do that.

Given the unstructured nature of financial statements, incumbent rules-based applications tend to struggle when it comes to accounting for the variety of information/data formats presented in statements. Machine learning, Grandeo explains, is the ideal technology to automate that process. Machine learning technology learns from previous practices and behaviors and can adapt to change over time without any development work, he says. Spreading is an evolving practice and needs a technology that evolves with it. Today, QUIQspread is processing thousands of spreads for customers in production who are now benefiting from significant time savings and efficiencies.

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AFTAs 2020: Best Artificial Intelligence (AI) Technology InitiativeMoody's Analytics - http://www.waterstechnology.com

New York, Jan. 29, 2021 (GLOBE NEWSWIRE) -- Reportlinker.com announces the release of the report "Artificial Intelligence In Remote Patient Monitoring Market Research Report - Global Forecast to 2025 - Cumulative Impact of COVID-19" - https://www.reportlinker.com/p06015800/?utm_source=GNW This helps organization leaders make better decisions when currency exchange data is readily available.

1. The Global Artificial Intelligence In Remote Patient Monitoring Market is expected to grow from USD 712.68 Million in 2020 to USD 2,157.68 Million by the end of 2025.2. The Global Artificial Intelligence In Remote Patient Monitoring Market is expected to grow from EUR 624.89 Million in 2020 to EUR 1,891.89 Million by the end of 2025.3. The Global Artificial Intelligence In Remote Patient Monitoring Market is expected to grow from GBP 555.52 Million in 2020 to GBP 1,681.89 Million by the end of 2025.4. The Global Artificial Intelligence In Remote Patient Monitoring Market is expected to grow from JPY 76,061.01 Million in 2020 to JPY 230,279.13 Million by the end of 2025.5. The Global Artificial Intelligence In Remote Patient Monitoring Market is expected to grow from AUD 1,034.90 Million in 2020 to AUD 3,133.23 Million by the end of 2025.

Market Segmentation & Coverage:This research report categorizes the Artificial Intelligence In Remote Patient Monitoring to forecast the revenues and analyze the trends in each of the following sub-markets:

Based on Geography, the Artificial Intelligence In Remote Patient Monitoring Market studied across Americas, Asia-Pacific, and Europe, Middle East & Africa. The Americas region surveyed across Argentina, Brazil, Canada, Mexico, and United States. The Asia-Pacific region surveyed across Australia, China, India, Indonesia, Japan, Malaysia, Philippines, South Korea, and Thailand. The Europe, Middle East & Africa region surveyed across France, Germany, Italy, Netherlands, Qatar, Russia, Saudi Arabia, South Africa, Spain, United Arab Emirates, and United Kingdom.

Company Usability Profiles:The report deeply explores the recent significant developments by the leading vendors and innovation profiles in the Global Artificial Intelligence In Remote Patient Monitoring Market including 100 Plus, AiCure, Binah.ai, Biofourmis, Cardiomo, ChroniSense Medical, ContinUse Biometrics (Cu-Bx), Current Health, Ejenta, Eko, Engagely.ai, Feebris, GYANT, iHealth, Medical Device + Diagnostic Industry (MD+DI), Medopad, Myia, Neoteryx, LLC, Neteera, Tech Vedika, ten3T Healthcare, and Vitls.

Cumulative Impact of COVID-19:COVID-19 is an incomparable global public health emergency that has affected almost every industry, so for and, the long-term effects projected to impact the industry growth during the forecast period. Our ongoing research amplifies our research framework to ensure the inclusion of underlaying COVID-19 issues and potential paths forward. The report is delivering insights on COVID-19 considering the changes in consumer behavior and demand, purchasing patterns, re-routing of the supply chain, dynamics of current market forces, and the significant interventions of governments. The updated study provides insights, analysis, estimations, and forecast, considering the COVID-19 impact on the market.

360iResearch FPNV Positioning Matrix:The 360iResearch FPNV Positioning Matrix evaluates and categorizes the vendors in the Artificial Intelligence In Remote Patient Monitoring Market on the basis of Business Strategy (Business Growth, Industry Coverage, Financial Viability, and Channel Support) and Product Satisfaction (Value for Money, Ease of Use, Product Features, and Customer Support) that aids businesses in better decision making and understanding the competitive landscape.

360iResearch Competitive Strategic Window:The 360iResearch Competitive Strategic Window analyses the competitive landscape in terms of markets, applications, and geographies. The 360iResearch Competitive Strategic Window helps the vendor define an alignment or fit between their capabilities and opportunities for future growth prospects. During a forecast period, it defines the optimal or favorable fit for the vendors to adopt successive merger and acquisition strategies, geography expansion, research & development, and new product introduction strategies to execute further business expansion and growth.

The report provides insights on the following pointers:1. Market Penetration: Provides comprehensive information on the market offered by the key players2. Market Development: Provides in-depth information about lucrative emerging markets and analyzes the markets3. Market Diversification: Provides detailed information about new product launches, untapped geographies, recent developments, and investments4. Competitive Assessment & Intelligence: Provides an exhaustive assessment of market shares, strategies, products, and manufacturing capabilities of the leading players5. Product Development & Innovation: Provides intelligent insights on future technologies, R&D activities, and new product developments

The report answers questions such as:1. What is the market size and forecast of the Global Artificial Intelligence In Remote Patient Monitoring Market?2. What are the inhibiting factors and impact of COVID-19 shaping the Global Artificial Intelligence In Remote Patient Monitoring Market during the forecast period?3. Which are the products/segments/applications/areas to invest in over the forecast period in the Global Artificial Intelligence In Remote Patient Monitoring Market?4. What is the competitive strategic window for opportunities in the Global Artificial Intelligence In Remote Patient Monitoring Market?5. What are the technology trends and regulatory frameworks in the Global Artificial Intelligence In Remote Patient Monitoring Market?6. What are the modes and strategic moves considered suitable for entering the Global Artificial Intelligence In Remote Patient Monitoring Market?Read the full report: https://www.reportlinker.com/p06015800/?utm_source=GNW

About ReportlinkerReportLinker is an award-winning market research solution. Reportlinker finds and organizes the latest industry data so you get all the market research you need - instantly, in one place.

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Artificial Intelligence In Remote Patient Monitoring Market Research Report - Global Forecast to 2025 - Cumulative Impact of COVID-19 - GlobeNewswire

TipRanks

Volatility is back on the menu. Last week brought Januarys trading to a close in what amounted to the stock markets worst month since October. The GameStop saga hogged the headlines as the retail buying frenzy for names with high short interest raised the possibility the market might be exhibiting bubble behavior. Add into the mix the slow rollout of Covid-19 vaccines and the fear of a delayed return to normalcy, and once again, uncertainty is engulfing Wall Street. The key to success in this environment is really the same as in normal times. Look for stocks with sound fundamentals and a history of success. Yes, past performance is no guarantee of future returns, but a history of share price growth is a good indicator. After all, growth stocks are growing for a reason. Weve used the TipRanks database to pull up the details on three such growth stocks that have shown sustained gains over the past year gains of 120% or more. And even better, for investors seeing a growth profile, Wall Streets analysts see continued growth ahead. Hyrecar, Inc. (HYRE) The gig economy has exploded in recent years, connecting people with skills to people with needs. Hyrecar fills a gap for car-less drivers, connecting car owners with idle vehicles to gig drivers (think Uber and Lyft) who need a vehicle. The Hyrecar service allows drivers to rent time in these vehicles, earning money from their transport or delivery routes while the cars owner earns a passive income from the rental fee. Hyrecar operates on the peer-to-peer model, and is available to subscribers as an online platform or a mobile app. In the past year 12 months, the companys shares have boomed. HYRE is up 228% in that time, riding especially high as economies opened up in 2H20. To put some numbers on the companys gains, revenue increased from $3.7 million in 3Q19 to $6.8 million in 3Q20 (the last reported quarter), a year-over-year gain of 83%. While Hyrecar currently runs a net loss like many tech-oriented startups that loss has moderated over the course of 2020. In 3Q19, EPS was negative 24 cents; in 3Q20, that had improved to negative 10 cents. In January 2021, the company announced partnerships with AmeriDrive Holdings, an automotive fleet manager, and Cogent Banks Specialty Lending Unit to increase the pool of available vehicles. The expected surge in vehicle availability has analysts bullish on Hyrecar. New strategic partnerships involving HYRE and four key players, including AmeriDrive Holdings (private) and Cogent Bank (private), aims to more than double the vehicle supply on HYREs platform in the next 12-18 months We view the announcement as a significant win for HYRE, which we believe creates a massive opportunity for HYRE to increase average active rentals to ~9,000 per day vs. ~2,800 in 2021, Maxim analyst Jack Vander Aarde noted. In line with this upbeat outlook, the 5-star analyst puts a Buy rating on HYRE along with an $18 price target. At that level, his target predicts an 82% upside in the coming year. (To watch Vander Aardes track record, click here) Over the past 3 months, only two other analysts have thrown the hat in with a view on the carsharing services player. The two additional Buy ratings provide HYRE with a Strong Buy consensus rating. With an average price target of $15.67, investors stand to take home a 59% gain, should the target be met over the next 12 months. (See HYRE stock analysis on TipRanks) Alpha and Omega Semiconductor (AOSL) Next up, Alpha and Omega, is a semiconductor maker with a wide portfolio of chipsets specifically designed for the power control requirements of advanced electronic devices. AOSLs chips are found in a range of common devices, including flat-screen TVs, LED lighting, portable PCs, smart phones and the power supply units for these products. In the fiscal 1Q21, the company reported $151.6 million in revenue, for a 28% year-over-year increase. Earnings, which had been negative prior to the fiscal Q1 report, turned positive with an EPS of 36 cents. The gain bodes well for the companys performance, now that the pandemic crisis is starting to recede. The second fiscal quarter results will be published on Thursday, February 4. Alpha and Omegas stock performance is also picking up, with shares rising 123% over the past 12 months. Growth like this is sure to attract attention, and it has. 5-star analyst Craig Ellis of B. Riley Securities, noted, Comms YE 5G smartphone unit strength lends an upside bias, and we like CY21s 2x YY growth potential... In Consumer, healthy next-gen gaming console uptake has follow-on product and design-in opportunities. So, we believe Comms, Compute, and Consumer end markets are performing quite well We expect above-industry AOSL growth" To this end, Ellis rates AOSL a Buy along with a $40 price target. This figure implies ~40% upside from current levels. (To watch Ellis track record, click here) Though not many have weighed in with an opinion on AOSL in the last 3 months, those who have are singing its praises. Overall, two analysts rate the semiconductor maker a Buy and the average price target of $37.50 implies ~30% upside for the upcoming year. (See AOSL stock analysis on TipRanks) Lands End (LE) The retail landscape has been shifting dramatically in recent years, and many venerable names have fallen by the wayside. Some, however, have survived. Lands End, founded almost 60 years ago, has built a reputation for quality in the clothing, footwear, and home dcor niche. The company brought in $1.45 billion for its fiscal year 2019, the last with full numbers available. From the 2020 numbers that have been published, it looks like Lands End is on track for steady growth. It posted year-over-year revenue gains in both Q2 and Q3 of 2020, indicating a quick recovery from the COVID crisis. The Q3 revenue was $360 million, up 5.8% from 3Q19 and up an even more impressive 15% from 2Q20. Meanwhile, the company has revised its Q4 guidance upward. Revenue is expected between $528 million and $533 million, up 4% at the midpoint. EPS is expected between 54 cents and 58 cents, for a 19% midpoint increase. Solid revenues through a difficult year have powered strong share appreciation. LE stock has gained a robust 126% over the past 52 weeks. Covering this stock for Craig-Hallum, analyst Alex Fuhrman writes, Lands End defied expectations in 2020 and is well positioned to grow in 2021 and beyond. The company proved its ability to execute in all environments as well as the strength of its branded e-commerce channel, which has grown more than 20% y/y over the past two reported quarters we envision continued e-commerce growth, as 2020s growth was likely the result of market share gains from brick-and-mortar foes rather than 'pantry loading,' while the retail and uniforms channels have potential for substantial growth ahead. Unsurprisingly, Fuhrman rates the stock a Buy, and his price target, at $35, implies ~27% growth potential in the next 12 months. (To watch Fuhrmans track record, click here) Some stocks fly under the radar, and LE is one of those. Fuhrman's is the only recent analyst review of this company, and it is decidedly positive. (See LE stock analysis on TipRanks) To find good ideas for stocks trading at attractive valuations, visit TipRanks Best Stocks to Buy, a newly launched tool that unites all of TipRanks equity insights. Disclaimer: The opinions expressed in this article are solely those of the featured analysts. The content is intended to be used for informational purposes only. It is very important to do your own analysis before making any investment.

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Artificial Intelligence and Real Estate Investing: A Winning Combination. William Lively Explains - Yahoo Finance

NANTES, France, Jan. 28, 2021 (GLOBE NEWSWIRE) -- OSE Immunotherapeutics (ISIN: FR0012127173; Mnemo: OSE) today announced a new collaboration agreement with MAbSilico, a deep technology innovative TechBio located in Tours, France, to use artificial intelligence (AI)-based software for therapeutic monoclonal antibody drug development.

Nicolas Poirier, Chief Scientific Officer of OSE Immunotherapeutics, stated: Expansion of our collaboration with MAbSilico to ten additional programs reflects our shared conviction that we can meaningfully improve and accelerate drug discovery, by pairing the knowledge and expertise of our R&D teams with the innovative technologies offered by MAbSilico. This perfectly complements the Companys evolving business strategy to build a competitive development engine and bring more products into the clinic, hence accelerating and expanding our clinical stage portfolio in immunotherapy.

OSE Immunotherapeutics and MAbSilico entered into an initial agreement early 2020 to apply innovative AI-based solutions to six programs aiming at accelerating the characterization and optimization of monoclonal antibodies and therapeutic proteins for OSE to investigate as therapeutic agents.

Through this expanded agreement, both companies reinforce and extend the scope of the collaboration to use MAbSilico software for ten additional development programs of antibody drugs in immuno-oncology, inflammation and autoimmune diseases for OSE.

Furthermore, both companies are bringing together their unparalleled expertise in the field of AI and antibody-based therapies to develop a disruptive computational in silico Antibody Discovery and Design platform combining OSEs database and expertise with MAbSilicos AI-tools.

MAbSilico software, including AI, numerical simulation and data mining, is being used to guide therapeutic antibody discovery, help reduce the risk of failure and accelerate the preclinical development process of antibody drug candidates, with the objectives of speeding up the start of clinical testing.

Vincent Puard, Chief Executive Officer of MAbSilico, stated: This new agreement for additional antibody programs in less than a year validates that MAbSilico AI-based software is a key advantage for biotech and pharma companies to accelerate their discovery programs. A great example is the collaboration between MAbSilico and OSE for CoVepiT, OSE's prophylactic multi-target vaccine against COVID-19. MAbSilico peptide modeling identified vaccine target epitopes in only two weeks, helping OSE move quickly into preclinical and human ex vivo studies in August 2020. The expertise of OSE Immunotherapeutics is an added value for MAbSilico, helping accelerate and secure the demonstration of the value our AI-driven technologies provide to early-stage drug development. Our team is proud to support them in their digital revolution of the antibody-based drug development process.

This new collaboration between OSE Immunotherapeutics and MAbSilico aims to:

ABOUT OSE Immunotherapeutics

OSE Immunotherapeutics is an integrated biotechnology company focused on developing and partnering therapies to control the immune system for immuno-oncology and autoimmune diseases. The companys immunology research and development platform is focused on three areas: T-cell-based vaccination, Immuno-Oncology (focus on myeloid targets), Auto-immunity & Inflammation. Its balanced first-in-class clinical and preclinical portfolio has a diversified risk profile:

Vaccine platform

Immuno-oncology platform

Auto-immunity and inflammation platform

Due to the COVID-19 crisis, accrual of new patients in the clinical trial TEDOPaM is temporarily suspended and initiation timelines for both Phase 2 trials of OSE-127/S95011 could be impacted during the coming months.

For more information: Click and follow us on Twitter and LinkedIn

https://twitter.com/OSEIMMUNOhttps://www.linkedin.com/company/10929673

Contacts

ABOUT MAbSilico

MAbSilico is a TechBio company developing and commercializing AI-based software for antibody discovery and development. The software platform can be used for any antibody format, for therapeutic and biomarker purposes. Only requiring the antibodies sequences and the target name, MAbSilico software supports biologists to select, after simulation modeling in minutes, the best antibody candidate. The AI-based solutions are on the shelf and have been validated with biology assays through a formal approach.

Antibody selection:

Antibody characterization:

Antibody optimization:

For more information: Click and follow us on Twitter and LinkedIn

https://twitter.com/mabsilicohttps://www.linkedin.com/company/18152652/

ContactMAbSilicoVincent Puardvincent.puard@mabsilico.com+33 7 69 86 09 02

Forward-looking statementsThis press release contains express or implied information and statements that might be deemed forward-looking information and statements in respect of OSE Immunotherapeutics. They do not constitute historical facts. These information and statements include financial projections that are based upon certain assumptions and assessments made by OSE Immunotherapeutics management in light of its experience and its perception of historical trends, current economic and industry conditions, expected future developments and other factors they believe to be appropriate.

These forward-looking statements include statements typically using conditional and containing verbs such as expect, anticipate, believe, target, plan, or estimate, their declensions and conjugations and words of similar import. Although the OSE Immunotherapeutics management believes that the forward-looking statements and information are reasonable, the OSE Immunotherapeutics shareholders and other investors are cautioned that the completion of such expectations is by nature subject to various risks, known or not, and uncertainties which are difficult to predict and generally beyond the control of OSE Immunotherapeutics. These risks could cause actual results and developments to differ materially from those expressed in or implied or projected by the forward-looking statements. These risks include those discussed or identified in the public filings made by OSE Immunotherapeutics with the AMF. Such forward-looking statements are not guarantees of future performance. This press release includes only summary information and should be read with the OSE Immunotherapeutics Universal Registration Document filed with the AMF on 15 April 2020, including the annual financial report for the fiscal year 2019, available on the OSE Immunotherapeutics website. Other than as required by applicable law, OSE Immunotherapeutics issues this press release at the date hereof and does not undertake any obligation to update or revise the forward-looking information or statements.

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OSE Immunotherapeutics Expands its Collaboration with MAbSilico to Use Artificial Intelligence to Accelerate Drug Development of Novel Antibody...

The landscape of artificial intelligence (AI), commercialization and research is progressively expanding to Asia. Asia, which is home to 61% of the global population, stands to acquire the most from implementing AI given its still beginning phases of advancement, however, immense potential to scale returns. From Japan to Singapore, AI startups and research hubs are rising quickly, a harbinger of the technological leapfrog that is to come.

Southeast Asia is increasingly embracing artificial intelligence. A research by EDBI and Kearney on the province of AI preparation in Singapore, Malaysia, Thailand, Vietnam, and the Philippines uncovered a growing force on the adoption of AI use-cases in different enterprises. Indonesias new launch of a National Strategy for AI epitomizes this developing acknowledgment about the potential economic benefits of AI for the region. If Southeast Asia gets AI right, it could add $1 trillion to its GDP by 2030.

Japans huge drive into IoT sensor implementation across Asia should be perceived as a highlight of its AI strategy given the data it will produce. As the first country with boundless 5G execution, South Korea has an edge in collecting data that will develop its AI ability in areas, for example, autonomous vehicles, smart manufacturing, and immersive gaming.

In the security domain all the more explicitly, AI is rising as a critical topic for defense policymakers as well as communities in a range of fields, from evaluation of its effect on geopolitical competition to regions of potential collaboration between some Indo-Pacific partners and their expert communities. It has additionally been a subject of conversation among researchers and policymakers in annual Asian security fora, for example, the Shangri-La Dialog and the Xiangshan Forum.

According to The Diplomat, Singapore Senior Minister of State Zaqy Mohamad at the Fullerton Forum, a yearly Shangri-La Dialog security forum spoke about artificial intelligence as a focus where Asias defense foundations could help add to the advancement of more extensive interstate collaboration.

Mohamads emphasis on AI for Asian defense foundations was particularly with regards to latest technological patterns. As he noted in his keynote address, AI is an emerging space where military and defense foundations can play a critical part in endeavors to strengthen the international order and enhance practical cooperation by building confidence, promoting responsible state behavior, and fostering international stability.

Southeast Asian countries are ideal targets of cyberattacks. With cybersecurity spending slacking, the region could lose an expected $180 billion to $365 billion in the next couple of years from huge data breaches.

As Southeast Asia deploys AI, reinforcing cybersecurity principles for government offices and agencies, technology organizations, and colleges is profoundly crucial. Deploying liability regimes and accountability mechanisms is likewise indispensable to guarantee that all parties involved in the plan and improvement of AI witness tough auditing and testing standards. In countering adversarial AI attacks, organizations and companies should move up to putting resources into AI-infused cybersecurity.

As foreign investment shifts from China to Asia, organizations are putting AI to work to carry automation to the industrial landscape of Indonesia, Malaysia, Thailand and Vietnam. These nations are home to significant investments from Chinese tech monsters, which have opened up AI labs in the locale. This pattern gives no indication of easing back as venture capital funds put more than $3.4 billion in ASEAN in the first half of 2019, and Chinas investment in the district expanded fourfold.

Asia is well prepared to turn into a data-driven economic powerhouse. The current dynamism encompassing the rise of AI embodies the developing interest in the area to receive the benefits of the fourth industrial revolution.

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Artificial Intelligence in Asia: Security Will be a Priority - Analytics Insight