Mediaboss Marketing

By Louise Lamatsch, Policy Assistant, EPHA

Artificial Intelligence (AI) and other emerging digital technologies have the potential to build up public health capacity to deliver equitable solutions by improving screening, diagnosis, and treatments across many medical disciplines. In addition, AI can generate productivity gains and improve operational efficiency by providing more precise and complete information, better workflow management and refine continuity of care. However, these technologies are still in their infancy. Their increased use within society and the healthcare sector require sufficient safeguards and guidelines to minimize the risk of harm these technologies may cause to individuals.

Future research will need to set the focus even more on the vulnerability and liability gaps in AI as well as on the adjustments that need to be made in the already existing EU legislation, such as the Product Liability Directive. Concerning already existing liability regimes regarding digital technologies, the law of tort of EU Member states is largely non- harmonised, except for the Product Liability Law under Directive 85/374/ EC, liability for infringing Data Protection Law under Article 82 of the General Data Protection Regulation (GDPR) and liability for infringing Competition Law under the directive 2014/ 104/ EU. Thus on National level, it can be observed that laws of the Member States do not contain liability rules specifically applicable to damage resulting from the use of emerging digital technologies such as Artificial Intelligence. Adequate and complete liability regimes in the development of technological challenges are crucially important for society to ensure that damage or harm caused by emerging digital technologies do not lead to victims ending up totally or partially uncompensated.

As discussed at the recent workshop on Civil Liability Regime for Artificial Intelligence in the European Parliament, organized by the S&D group and hosted by MEP Tiemo Wlken (Germany), the following key suggestions (among many others) could be included in future discussions and research regarding the adjustments that need to be made on existing EU liability regimes:

AI is a difficult and complex system, which needs better understanding, building up health literacy, and research. Most importantly, the existing liability laws do not necessarily have to be reinvented but they will require modification and adjustment. . The EU should, therefore, try to find a balanced solution based on a harmonized and human-centred approach on AI to ensure civil protection and a fair and safe environment. In the health sector existing laws should be specifically adapted in the field of health and safety at workplace. AI may not only affect the employment area and wages but also the way workers approach their work and this could have an impact on their well-being such as job satisfaction, stress and health in a variety of ways. AI is therefore not only related to potential physical harm but also mental harm. The integration of Big Data and AI technologies into health systems must be accompanied by appropriate legislation, rules and standards that protect the fundamental rights of individuals and address new ethical challenges. Emerging technologies is an area, which still needs much discussion and research before we have a well-performing digital and AI- friendly European Union.

Read more here:
Why we need to adapt existing EU laws to Artificial Intelligence - European Public Health Alliance

To the untrained eye, zebras in Kenya probably all look alike. But each animals black and white markings are like a fingerprint, distinct and invaluable for scientists who need to track the animals and information about them, including their births, deaths, health and migration patterns.

Traditionally, getting this kind of information has been an invasive and labor-intensive process. But breakthroughs in artificial intelligence (AI) and crowdsourcing of photos of individual animals are beginning to change the conservation game.

Portland, Oregon-based nonprofit Wild Me has developed AI to pick out identifying markers the stripes on a zebra, the spots on a giraffe, the contours of a sperm whales fin and catalog animals much faster than a human can. Photo surveys are increasingly used as the backbone for population estimates, and Wild Mes Wildbooks, which catalog various species, are giving conservation groups, governments and citizen scientists a faster way to monitor animals around the world.

We can use this information to track diseases and poaching threats, look at manifestations of diseases, said Michael Brown, a conservation science fellow at the Giraffe Conservation Foundation and the Smithsonian Conservation Biology Institute, who has been working with Wild Me for the past few years. It lets us piece together an understanding of how these threats to giraffes are spatially situated (and) how the giraffes are utilizing different landscapes over time.

Founder Jason Holmberg launched the first iteration of Wild Me in 2003 after swimming with whale sharks off the coast of Djibouti. He wanted to find a different way to track the animals other than invasive tagging, so he teamed up with a biologist and a NASA astronomer, adapting the algorithm for the Hubble telescope to match the sharks spot patterns.

For years, Holmbergs endeavors were a side project he didnt leave his full-time job in tech until recently. Wild Mes work gradually expanded, then it really kicked into gear with a 2018 grant from Microsofts AI for Earth. Today, Wild Me has a team of six full-time staffers, with plans to add more soon.

Wild Mes process of creating and training algorithms takes serious time. Thousands of photos of the species must be manually annotated so that the algorithm learns what a given animal is, what the distinguishing characteristics are and whats just background noise.

The model relies largely on photographs taken by scientists or everyday people who upload their photos to the corresponding Wildbook. It uses AI to find things in the picture and then hand it to algorithms or machine learning to suggest IDs which whale, which giraffe, etc., Holmberg said.

Christin Khan conducts aerial surveys of North Atlantic right whales for the National Oceanic and Atmospheric Administration and had sought an AI-based solution for years. She said she watched Facebook implement facial recognition and wanted to use similar technology to help identify whales within the endangered species (there are only about 400 North Atlantic right whales left).

We needed a really simple, user-friendly web-based interface where a biologist who knows nothing about AI could upload a photograph and get a result back, she said. Eventually we realized the developers at Wild Me had already done a lot of what we needed, and it wouldnt require us to reinvent the wheel.

The Wildbook for whales, called Flukebook, encourages collaboration, which is particularly useful for whales that travel long distances because it can be difficult for one research group to effectively monitor one area.

The more people on the water, the more photos, the more its decentralized, (the better), said Shane Gero, who founded and runs the Dominica Sperm Whale Project. By doing the matching themselves, by contributing their own data, not only do they get to know the animals, but it creates a locally motivated community of people that can react when conservation actions come up.

Before the introduction of AI, Gero said it would take about a month to process a months worth of photos.

(Now), we have our numbers of individuals sighted and population estimates faster, so we can report (almost) in real time, he said.

That means his group is able to provide the government of Dominica with more up-to-date information and offer better advice on how to shape conservation efforts.

One of Wild Mes more recent innovations is an AI-driven feature that datamines YouTube videos of whale sharks and sea turtles, using user-generated videos (often taken by tourists) to get a better sense of the populations. This has been a great way to increase the amount of photos coming in and provide researchers with more data. But it also creates even more work for people on the ground, who have to manually check the AIs suggestions and accept the results.

Were flooding the whale shark community with more data than it can handle, said Holmberg.

So Wild Me is now building the capacity to automate the identification process and scaling the tech that combs social media for relevant videos.

The nonprofit recently received a two-year grant from the Gordon and Betty Moore Foundation to develop the new algorithm that will make the animal IDs on its own.

Its focusing the initial work on zebras because it already has an incredibly rich dataset. Every two years since 2016, the Great Grvys Rally in Kenya has used hundreds of citizen scientists spread out over thousands of kilometers to photograph Grvys zebras over two days. Wild Mes AI analyzes the zebra markings on all the photos to come up with a total population, which the Kenyan government treats as the official census for Grvys zebras.

This type of work is a huge upgrade from the traditional capture-mark-recapture process, which is both invasive and time consuming, with studies done every five to 10 years.

You can only make very coarse-grained conservation decisions, Holmberg said. The point of going to a fully automated system is to shorten that cycle so we can take all of the data over the past week or two weeks and have a continuous prediction of population size. Its fine-grained, which helps researchers understand and lobby for better conservation activities.

For Khan, meanwhile, the existing technology is still in its early days. The algorithm for North Atlantic right whales became operational in November 2019, and she said theyre still working out the kinks and figuring out how best to use it. But, she said, she sees the incredible potential that it holds.

My dream is that we get to the point where the worlds oceans will be trolled by satellite photos and we can understand the worlds whale population, she said. Combining AI with satellite imagery and drones we have the potential to exponentially understand the worlds oceans thats just not possible with manned aircraft.

View post:
How a Portland nonprofit is using artificial intelligence to help save whales, giraffes, zebras - Seattle Times

With AI and the resultant technology up-gradation in industry, organizations need to plan for the tech-driven future.

To take optimum advantage of the disruptive technologies that AI brings in, a few businesses may need to make dramatic adjustments in their company culture and the way they work. Right now, for some businesses, AI and big data are merely perceived as something that can cut operational expenses, instead of it being a crucial methodology for creating increased profit, output, and improved assurance of business success. The C-suite cannot overlook AI and big data convergence as it is needed to consolidate the business ability and critical insights.

Data Centers Embarking On the Cloud Migration Journey

The rapid progress of data platforms has seen advanced analytical models being used to display complex business scenarios for operations, planning, investment, and innovation. While technological capabilities are readily available everywhere, what makes the real impact is how they are deployed to make progress.

The increasing demand for cloud and data analytics capacities encourages experimentation. It helps in ad hoc utilization to deliver quick outcomes knowing the abilities and associated dangers of having individuals with experience and knowledge. For pivotal business assignments, AI may not be granted decision-making capabilities. But, its capacity to give reliable, accurate data is as of now prompting compelling insights that change business operations entirely.

AIs automation abilities imply it to be progressively utilized to streamline unremarkable tasks, freeing up resources to focus on high-level activities. This can add to process efficiencies by improving profitability and bringing down operating expenses.

As AI gets enriched from new data inputs, it will turn out to be progressively ground-breaking and ready to simplify complex tasks and algorithms. It will further create growth opportunities for collaboration and increased efficiency. ML is helping AI applications to comprehend a more extensive scope of guidelines better, clarify the context by understanding the need better.

While the pace of technological change is uncertain, one thing is sure. It will continue to gather pace, driving innovative systems, new processes and efficiencies, delivering new solutions and products. The ability to recognize and fuse the best solution for business growth, and at the right time to increase advantage, is a significant challenge.

Firms must guarantee a well-structured architecture framework that empowers CIOs to respond with the required flexibility to join the new and replace the old. As AI applications are becoming progressively intricate and more ingrained in daily life, there will be an increased requirement for people to clarify the discoveries and decisions by a machine.

5G Enterprise Adoption- Security is Still a Major Concern

Supervision of AI applications will be crucial to ensure that undesirable results, for instance, discrimination, are recognized and prevented. Regardless of how perfect AI becomes, it will always require human intelligence and guidance to discover innovative solutions to satisfy its intended function.

Even though AI offers immense opportunities for improvement and innovation, it cant achieve its full potential on its own. A community future will see engineers, programmers, data scientists, workers, and everyday consumers completely integrating AI into their daily lives.

Read more from the original source:
Artificial Intelligence Infused with Big Data Creating a Tech-driven World - EnterpriseTalk

Amazing team building activities can bring team members together by collaborating and encouraging teamwork. Having fun at work will boost productivity to enhance the teams loyalty. Here is gaming with artificial intelligence technology in 2020.

Using team-building activities promotes exploration and opportunities instead of having your employees retreating. Also, any time you play together, it motivates your team to build better communication, a deeper discussion of plans, problem-solving AI tech techniques, and powerful solutions.

Just imagine getting up in the morning and anticipating having fun at work. Anticipation will automatically encourage you to get up for work happily. Wanting to go to work can become a reality by bringing laughter and happiness to the office. Bringing in activities will de-stress your team.

Indoor activities provide amazing team-building opportunities, improves workplace tasks, and develop positive work culture. These activities are vital for boosting performance.

Team collaboration is important because each team member has a different point of view to reach a teams collective potential. It also helps in increasing the morale of team members.

There are so many interesting indoor activities that would help to infuse fun and creativity in tasks to increase the progress of the organization.

Business needs indoor activities for responsive and meaningful communications which will allow the employees to think out of the box, and to recharge and refresh them.

These activities will automatically boost the morale of an employee. For successful team building, comfort in the workplace is necessary.

To enhance team performance there should be healthy competition between team members. Competition increases productivity in a positive way. You can encourage the team by providing incentives to make them motivated.

One of the best team-building strategies is to perform indoor activities which outcomes in better work progress by improving communication.

It is not mandatory to do all work activities formally, Informal activities should also be conducted to uplift the teams spirit and remind their values to their team leads. There can be following indoor activities for amazing team building.

This type of activity will allow the team member to solve a puzzle or mystery with the help of clues to increase their collaboration.

It will be used to test the level of trust among team members. Talking in circles is a better way of communication and team collaboration.

It is the best secret revealing game in which team members will come to know the hidden truths of their colleagues.

This game will help in guessing each others birthdays by allowing participants to rearrange their line in order of their birthdays.

They should also arrange a surprise party for each team member on their birthday.

It is another interesting game to play with your colleagues. It will bring your team together in an immersive environment.

Truth or lie is also an interesting game to know each other for the first time.

A very popular game to have fun in the workplace and to know other creative minds and acting skills.

It is very important to celebrate little team achievements for motivation. There are manyteam building activities for motivation and enhancing collaboration. Check your local listings and find something worthwhile and fun.

A team can also decorate a workplace, during decoration, they will communicate with each other to know each other ideas and creative skills. For decorating, a team can use bright colors, flowers, funny photos and interesting quotes. They can also create art together by letting each member participate in that art piece.

To celebrate important achievements, goals or milestones, a team can have pizza or ice cream socials.

One can also write a letter of appreciation to an employee to let them know the significant things they have done in improving the company standards.

Setting up a talent show in a game room can allow employees to open up their talents, whether its singing a song or playing an instrument or any other hidden talent. A talent show will be a team-building component because the employees will collaborate to organize the event.

Many informal activities can take place in workplaces such as short celebrations, dinner parties for teamwork appreciation, learning sessions for their self-development, providing a bonus for an excellent job to encourage team members.

A wall of fame should be designed in one of the office walls, where the team lead will put the awards for team members to appreciate them. They can also introduce the thank you notes for the employee of the week to encourage their hard work.

Hang up a complaint box in a central area of the office and allow the team to elaborate on their needs and problems they are facing during work out Artificial intelligence gaming trends.

Following are the rules for an amazing team-building:

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Following are the ways to motivate the team:

We have organized many team building activities in Dubai for an amazing team experience by engaging them to work together and take care of each others backs.

There are many other fun indoor activities in your area. You can find: breaking things in the smash room and bowling. These indoor activities bring long-lasting effects in organizations nowadays for VR Games.

To communicate openly is the key to building a good relationship in a team. Fun Indoor activities can build a strong team and allow employees to get to know each other in a better way.

Knowing each others interests, strengths and weaknesses can encourage each team member to contribute during meetings. So we should organize fun, engaging team activities to enhance the work performance of the organization.

Nabeel Al Ahmed, Digital Consultant Dubai SightseeingMoreover, several years experiences in Tech-savvy I always try to come up with new trends as being Communicator for tech-related topic especially in IOT, AI.

Read more from the original source:
Gaming with Artificial Intelligence Technology in 2020 - ReadWrite

LONDON--(BUSINESS WIRE)--The artificial intelligence-as-a-service (AIaaS) market is expected to grow by USD 15.14 billion during 2020-2024, according to the latest market research report by Technavio. Request a free sample report

The growing adoption of cloud computing services across the globe is increasing the adoption of cloud-based applications that can be used by multiple end-user industries. The inherent benefits of cloud computing such as minimal cost for infrastructure, scalability, reliability, and high resource availability have driven enterprises to adopt cloud-based solutions. This is expected to accelerate the adoption of cloud-based applications through a service model. With the rise in the adoption of cloud-based services, vendors in the market have started offering cloud-based AI services for the easy management of data. For instance, SAP offers AI capabilities integrated with its cloud-based ERP system called S4/HANA with the aim of supporting business processes such as sales, finance, procurement, and supply chain. Thus, the growing cloud adoption will drive the growth of the market during the forecast period.

To learn more about the global trends impacting the future of market research, download a free sample: https://www.technavio.com/talk-to-us?report=IRTNTR41175

As per Technavio, the increasing integration of AIaaS with blockchain will have a positive impact on the market and contribute to its growth significantly over the forecast period. This research report also analyzes other significant trends and market drivers that will influence market growth over 2020-2024.

Artificial Intelligence-As-A-Service (AIaaS) Market : Increasing Integration of AIaaS with Blockchain

Blockchain technology is integrated with AI applications to manage decentralized records and reduce human error as well as operating costs. Moreover, it can streamline, automate, and create transparency in the sharing of absolute records. Some of the advantages of integrating AI application with blockchain technology include improved traceability, real-time tracking, reduced fraud, automated data flow, and reduced paperwork. Thus, enterprises are partnering with vendors in the market to integrate blockchain-based applications to enhance transparency and efficiency. For instance, in October 2019, Global Container Terminals (GCT), a container terminal operator in North America, joined Maersk and International Business Machines to integrate TradeLens, a blockchain shipping tool, in a bid to enhance transparency and efficiency.

Factors such as the growing number of acquisitions and partnerships, and increasing investments in AIaaS by retail end-users will have a positive impact on the growth of the AIaaS market value during the forecast period, says a senior analyst at Technavio.

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Artificial Intelligence-As-A-Service (AIaaS) Market: Segmentation Analysis

This market research report segments the artificial intelligence-as-a-service (AIaaS) market by end-user (retail and healthcare, BFSI, telecommunications, government and defense and others), and geography (North America, APAC, Europe, South America and MEA).

The North American region led the artificial intelligence-as-a-service (AIaaS) market in 2019, followed by APAC, Europe, MEA and South America. During the forecast period, the North American region is expected to register the highest incremental growth due to factors such as the high adoption of cloud, AI, ML, and big data analysis to draw business insights.

Technavios sample reports are free of charge and contain multiple sections of the report, such as the market size and forecast, drivers, challenges, trends, and more. Request a free sample report

Some of the key topics covered in the report include:

End-user

Geographic Segmentation

Market Drivers

Market Challenges

Market Trends

Vendor Landscape

About Technavio

Technavio is a leading global technology research and advisory company. Their research and analysis focus on emerging market trends and provides actionable insights to help businesses identify market opportunities and develop effective strategies to optimize their market positions.

With over 500 specialized analysts, Technavios report library consists of more than 17,000 reports and counting, covering 800 technologies, spanning across 50 countries. Their client base consists of enterprises of all sizes, including more than 100 Fortune 500 companies. This growing client base relies on Technavios comprehensive coverage, extensive research, and actionable market insights to identify opportunities in existing and potential markets and assess their competitive positions within changing market scenarios.

Read more:
Global Artificial Intelligence-as-a-Service (AIaaS) Market 2020-2024 | Growing Adoption of Cloud Based Solutions to Boost Market Growth | Technavio -...