NEM Ventures, the venture capital and investment arm of the NEM blockchain ecosystem, has joined the Decentralized AI Alliance (DAIA), an alliance of more than fifty diverse organizations in the interrelated Artificial Intelligence (AI), Internet of Things (IoT) and blockchain ecosystem working together to democratize the use and control of AI. This partnership will see the development of common strategies and increased resource sharing between the member organizations towards the common goal of developing a system of democratized AI.

Toufi Saliba, President of DAIA, Founder of the ACM AiDecentralized and Author of TODA/IP, commented: “With over 60 global members to date, I am ecstatic to see NEM joining the alliance and welcome them. We remain anxious about the future of this planet, with current AI lacking essential security. We urge every reader to learn more about this initiative, as this might be one of the most impactful ways to move towards a safer future rather than remaining idle. We hope NEM Ventures will help us accelerate towards that mission.”

NEM’s upcoming tech release, Symbol, is a fully-featured solution for enterprises supported by a plugin engine that allows effortless interoperability and configuration, enabling enterprises to leverage this technology to improve business processes. The public/private chain combinations with cross chain swaps facilitate IoT and AI data interactions. NEM Ventures is focused on investing and developing high-growth emerging technology projects from an early stage in their business cycle, providing capital support and expertise to grow the next generation of startups that utilise the NEM product suites.

Commenting on the partnership, Dave Hodgson, Director and Co-founder of NEM Ventures, said: “DAIA is an impressive alliance of projects which share NEM Venture’s commitment to a vision of the AI and Blockchain space as an open, fair and decentralized system of technology. DAIA is supported by thought leaders in the space, including CEO and Co-founder of TODA, Toufi Saliba, and CEO and Co-founder of SingularityNET, Ben Goertzel. NEM is proud to develop a shared strategy with such global organizations in the sector to make this vision a reality.”

NEM Ventures’ expertise in blockchain provides DAIA with further strategic capabilities among startups in the space, and helps develop such organizations into active participants within the DAIA community. The Internet of Things (IoT) is one area where the alliance aims to leverage the technical experience of NEM, given its expertise in using NEM Catapult to develop Internet of Distributed Ledger Technology (IoDLT), a blockchain startup that secures and verifies data coming from IoT devices.

Commenting on the partnership, Dr. Ben Goertzel, Chairman and Co-founder of DAIA and CEO and Co-founder of SingularityNET: “We are thrilled to form a partnership with NEM Ventures, one of the preeminent blockchain VCs in the sector, and its vision for a fair and decentralized system of AI aligns closely with our philosophy. I’ve been impressed with the NEM design and community since I originally read the NEM white paper some time ago, so it’s exciting for me to see NEM Ventures bringing their unique conceptual, technical  and business savvy into the DAIA community.”   

Hernaldo Turrillo

Hernaldo Turrillo is a writer and author specialised in innovation, AI, DLT, SMEs, trading, investing and new trends in technology and business. He has been working for ztudium group since 2017. He is the editor of openbusinesscouncil.org, tradersdna.com, hedgethink.com, and writes regularly for intelligenthq.com, socialmediacouncil.eu. Hernaldo was born in Spain and finally settled in London, United Kingdom, after a few years of personal growth. Hernaldo finished his Journalism bachelor degree in the University of Seville, Spain, and began working as reporter in the newspaper, Europa Sur, writing about Politics and Society. He also worked as community manager and marketing advisor in Los Barrios, Spain. Innovation, technology, politics and economy are his main interests, with special focus on new trends and ethical projects. He enjoys finding himself getting lost in words, explaining what he understands from the world and helping others. Besides a journalist, he is also a thinker and proactive in digital transformation strategies. Knowledge and ideas have no limits.

The post NEM Ventures Partners with DAIA to Support Growth Of Democratized AI appeared first on OpenBusinessCouncil Directory.

A ground-breaking innovation has been proven to reduce flight delays by 61% and will save airports billions of dollars in efficiency improvements

Last year, Finavia, the state-owned company that runs all of Finland’s 21 airports, commissioned Fourkind, a hands-on advisory company and Reaktor, a global hybrid agency, to take a closer look at the small airport of Kittilä in Lapland. The sight there was becoming alarmingly similar to major airports like Heathrow or JFK: recurring delays with overcrowded departure gates and tired, disgruntled passengers.

Struggling to match the volatile needs of Lapland’s booming tourism –– the number of visitors grows exponentially in the winter months as tourists flock to catch a glimpse of Santa Claus and the Northern Lights –– the humble-sized airport was spread thin trying to fit a higher-than-normal amount of planes to only 12 parking lots, while also securing enough airport buses and drivers to transport people between gates and planes. With frequent scheduling interruptions and unpredictable weather, the delay-causing puzzle was hard to crack.

“Adding more resources would not make any sense since, outside the holiday season, the airport only receives one or two flights a day,” explains Henri Lehtonen, project lead from Finavia. Instead, the three companies, Finavia, Fourkind and Reaktor, came up with a system for optimizing the parking of planes.

The first-of-its-kind automated parking plan informs all airport operations, from deciding bus routes to allocating check-in counters to giving landing permissions. With data science at its very core, the system builds a mathematically perfect plan in mere seconds based on all available flight data, while also taking into consideration set rules and preferences, such as assigning non-Schengen planes to gates closest to the passport control.

“We learned that by formulating all objectives and restrictions related to the aircraft parking problem mathematically, we can find the unique best parking plan among the billions and billions of alternatives very efficiently by utilizing a tailored optimization algorithm. There is a lot of uncertainty related to the airport operations but predictive modelling is the correct way to incorporate that into the optimization process,” says Maria Pusa from Fourkind.

The results for the new system are impressive: Piloted during a holiday traffic peak in December 2018, the system was able to slash the number of airport-related flight delays by 61% and the average time of delays by 66%, improving the holidays of 124,000 passengers and saving an estimated 500,000 euros in one month. Moreover, it enhanced collaboration between Finavia’s expert teams and lowered local CO2 emissions, as the system cut down the likelihood of a plane having to circle Kittilä before a parking space became available.

“The system brings a great deal of efficiency and robustness to Kittilä‘s operations. When the conditions change unexpectedly and render the current plan redundant, you can simply produce a new one with a click of a button,” Lehtonen explains.

“To realize the model’s full potential, we designed a tool which truly complements the flight control experts’ daily work. At a small airport like Kittilä, the stand allocation happens from a car on the airfield, meaning the tool needed to be custom designed for fully portable work. By visualizing the optimized plan for the day, yet still providing the tools for reacting to changes and making manual overrides, the flight control experts are free to focus on making sure everything runs smoothly during the busy holiday seasons,” says Edward Landtman from Reaktor.

The numbers are about to get even more impressive this year. Encouraged by Kittilä’s sudden improvement, the company is taking the innovation to Ivalo and Rovaniemi in Lapland as well as to their crown jewel, Helsinki-Vantaa – an airport that serves over 20 million passengers each year. Visitors to Finland’s airports will soon find themselves relaxed and at ease: flying smarter means fewer emissions, lower costs, and less waiting.

Hernaldo Turrillo

Hernaldo Turrillo is a writer and author specialised in innovation, AI, DLT, SMEs, trading, investing and new trends in technology and business. He has been working for ztudium group since 2017. He is the editor of openbusinesscouncil.org, tradersdna.com, hedgethink.com, and writes regularly for intelligenthq.com, socialmediacouncil.eu. Hernaldo was born in Spain and finally settled in London, United Kingdom, after a few years of personal growth. Hernaldo finished his Journalism bachelor degree in the University of Seville, Spain, and began working as reporter in the newspaper, Europa Sur, writing about Politics and Society. He also worked as community manager and marketing advisor in Los Barrios, Spain. Innovation, technology, politics and economy are his main interests, with special focus on new trends and ethical projects. He enjoys finding himself getting lost in words, explaining what he understands from the world and helping others. Besides a journalist, he is also a thinker and proactive in digital transformation strategies. Knowledge and ideas have no limits.

The post 4IR Disruption: Finland’s Airports Will Soon Be Run By AI appeared first on OpenBusinessCouncil Directory.

Gartner’s analysts define astrategic technology trend as one with substantial disruptive potential that is beginning to break out of an emerging state into broader impact and use, or which is rapidly growing with a high degree of volatility reaching tipping points over the next five years.

From Hyperautomation or the combination of multiple machine learning (ML) to blockchain, many are the technologies that organizations around the world need to take a closer look if they are to success in the world of tomorrow and these are the top strategic technology trends that organizations need to explore as soon as in 2020. At least that is what analysts think when they presented their findings during Gartner IT Symposium/Xpo.

“People-centric smart spaces are the structure used to organize and evaluate the primary impact of the Gartner top strategic technology trends for 2020,” said David Cearley, vice president and Gartner Fellow. “Putting people at the center of your technology strategy highlights one of the most important aspects of technology — how it impacts customers, employees, business partners, society or other key constituencies. Arguably all actions of the organization can be attributed to how it impacts these individuals and groups either directly or indirectly. This is a people-centric approach.”

“Smart spaces build on the people-centric notion. A smart space is a physical environment in which people and technology-enabled systems interact in increasingly open, connected, coordinated and intelligent ecosystems. Multiple elements — including people, processes, services and things — come together in a smart space to create a more immersive, interactive and automated experience,” said Mr. Cearley.

The top 10 strategic technology trends for 2020 are:

1. Hyperautomation

Hyperautomation is the combination of multiple machine learning (ML), packaged software and automation tools to deliver work. Hyperautomation refers not only to the breadth of the pallet of tools, but also to all the steps of automation itself (discover, analyze, design, automate, measure, monitor and reassess). Understanding the range of automation mechanisms, how they relate to one another and how they can be combined and coordinated is a major focus for hyperautomation.

This trend was kicked off with robotic process automation (RPA). However, RPA alone is not hyperautomation. Hyperautomation requires a combination of tools to help support replicating pieces of where the human is involved in a task.

2. Multiexperience

Through 2028, the user experience will undergo a significant shift in how users perceive the digital world and how they interact with it. Conversational platforms are changing the way in which people interact with the digital world. Virtual reality (VR), augmented reality (AR) and mixed reality (MR) are changing the way in which people perceive the digital world. This combined shift in both perception and interaction models leads to the future multisensory and multimodal experience.

“The model will shift from one of technology-literate people to one of people-literate technology. The burden of translating intent will move from the user to the computer,” said Brian Burke, research vice president at Gartner. “This ability to communicate with users across many human senses will provide a richer environment for delivering nuanced information.”

3. Democratization of Expertise

Democratization is focused on providing people with access to technical expertise (for example, ML, application development) or business domain expertise (for example, sales process, economic analysis) via a radically simplified experience and without requiring extensive and costly training. “Citizen access” (for example, citizen data scientists, citizen integrators), as well as the evolution of citizen development and no-code models, are examples of democratization.

Through 2023, Gartner expects four key aspects of the democratization trend to accelerate, including democratization of data and analytics (tools targeting data scientists expanding to target the professional developer community), democratization of development (AI tools to leverage in custom-developed applications), democratization of design (expanding on the low-code, no-code phenomena with automation of additional application development functions to empower the citizen-developer) and democratization of knowledge (non-IT professionals gaining access to tools and expert systems that empower them to exploit and apply specialized skills beyond their own expertise and training).

4. Human Augmentation

Human augmentation explores how technology can be used to deliver cognitive and physical improvements as an integral part of the human experience. Physical augmentation enhances humans by changing their inherent physical capabilities by implanting or hosting a technology element on their bodies, such as a wearable device. Cognitive augmentation can occur through accessing information and exploiting applications on traditional computer systems and the emerging multiexperience interface in smart spaces. Over the next 10 years increasing levels of physical and cognitive human augmentation will become prevalent as individuals seek personal enhancements. This will create a new “consumerization” effect where employees seek to exploit their personal enhancements — and even extend them — to improve their office environment.

5. Transparency and Traceability

Consumers are increasingly aware that their personal information is valuable and are demanding control. Organizations recognize the increasing risk of securing and managing personal data, and governments are implementing strict legislation to ensure they do. Transparency and traceability are critical elements to support these digital ethics and privacy needs.

Transparency and traceability refer to a range of attitudes, actions and supporting technologies and practices designed to address regulatory requirements, preserve an ethical approach to use of artificial intelligence (AI) and other advanced technologies, and repair the growing lack of trust in companies. As organizations build out transparency and trust practices, they must focus on three areas: (1) AI and ML; (2) personal data privacy, ownership and control; and (3) ethically aligned design.

6. The Empowered Edge

Edge computing is a computing topology in which information processing and content collection and delivery are placed closer to the sources, repositories and consumers of this information. It tries to keep the traffic and processing local to reduce latency, exploit the capabilities of the edge and enable greater autonomy at the edge.

“Much of the current focus on edge computing comes from the need for IoT systems to deliver disconnected or distributed capabilities into the embedded IoT world for specific industries such as manufacturing or retail,” said Mr. Burke. “However, edge computing will become a dominant factor across virtually all industries and use cases as the edge is empowered with increasingly more sophisticated and specialized compute resources and more data storage. Complex edge devices, including robots, drones, autonomous vehicles and operational systems will accelerate this shift.”

7. Distributed Cloud

A distributed cloud is the distribution of public cloud services to different locations while the originating public cloud provider assumes responsibility for the operation, governance, updates to and evolution of the services. This represents a significant shift from the centralized model of most public cloud services and will lead to a new era in cloud computing.

8. Autonomous Things

Autonomous things are physical devices that use AI to automate functions previously performed by humans. The most recognizable forms of autonomous things are robots, drones, autonomous vehicles/ships and appliances. Their automation goes beyond the automation provided by rigid programing models, and they exploit AI to deliver advanced behaviors that interact more naturally with their surroundings and with people. As the technology capability improves, regulation permits and social acceptance grows, autonomous things will increasingly be deployed in uncontrolled public spaces.

“As autonomous things proliferate, we expect a shift from stand-alone intelligent things to a swarm of collaborative intelligent things where multiple devices will work together, either independently of people or with human input,” said Mr. Burke. “For example, heterogeneous robots can operate in a coordinated assembly process. In the delivery market, the most effective solution may be to use an autonomous vehicle to move packages to the target area. Robots and drones aboard the vehicle could then affect final delivery of the package.”

9. Practical Blockchain

Blockchain has the potential to reshape industries by enabling trust, providing transparency and enabling value exchange across business ecosystems, potentially lowering costs, reducing transaction settlement times and improving cash flow. Assets can be traced to their origin, significantly reducing the opportunities for substitutions with counterfeit goods. Asset tracking also has value in other areas, such as tracing food across a supply chain to more easily identify the origin of contamination or track individual parts to assist in product recalls. Another area in which blockchain has potential is identity management. Smart contracts can be programmed into the blockchain where events can trigger actions; for example, payment is released when goods are received.

“Blockchain remains immature for enterprise deployments due to a range of technical issues including poor scalability and interoperability. Despite these challenges, the significant potential for disruption and revenue generation means organizations should begin evaluating blockchain, even if they don’t anticipate aggressive adoption of the technologies in the near term,” said Mr. Burke.

10. AI Security

AI and ML will continue to be applied to augment human decision making across a broad set of use cases. While this creates great opportunities to enable hyperautomation and leverage autonomous things to deliver business transformation, it creates significant new challenges for the security team and risk leaders with a massive increase in potential points of attack with IoT, cloud computing, microservices and highly connected systems in smart spaces. Security and risk leaders should focus on three key areas — protecting AI-powered systems, leveraging AI to enhance security defense, and anticipating nefarious use of AI by attackers.

Hernaldo Turrillo

Hernaldo Turrillo is a writer and author specialised in innovation, AI, DLT, SMEs, trading, investing and new trends in technology and business. He has been working for ztudium group since 2017. He is the editor of openbusinesscouncil.org, tradersdna.com, hedgethink.com, and writes regularly for intelligenthq.com, socialmediacouncil.eu. Hernaldo was born in Spain and finally settled in London, United Kingdom, after a few years of personal growth. Hernaldo finished his Journalism bachelor degree in the University of Seville, Spain, and began working as reporter in the newspaper, Europa Sur, writing about Politics and Society. He also worked as community manager and marketing advisor in Los Barrios, Spain. Innovation, technology, politics and economy are his main interests, with special focus on new trends and ethical projects. He enjoys finding himself getting lost in words, explaining what he understands from the world and helping others. Besides a journalist, he is also a thinker and proactive in digital transformation strategies. Knowledge and ideas have no limits.

The post Top 10 Strategic Technology Trends For 2020 appeared first on OpenBusinessCouncil Directory.

The intrinsic capacity of the fifth-generation cellular technology (5G) to connect the Internet’s end systems with enhanced data flows and faster response times will unlock the full potential of emerging technologies, according to GlobalData, a leading data and analytics company.

Archi Dasgupta, Director of Disruptive Tech at GlobalData, comments: “In addition to the striking speed, which enables data transmission between two end systems almost instantly, 5G’s ability to connect thousands of such devices at once with lower latency, higher reliability and lesser battery consumption lays a strong foundation for the effective adoption of emerging technologies.”

An analysis of GlobalData’s Disruptor Tech Database reveals how 5G can influence the deployment of emerging technologies, notably Internet of Things (IoT), autonomous vehicles, robotics & drones and virtual reality (VR).

IoT

5G can find its major use case in helping IoT applications to overcome the limitations of 4G in industries such as mining, where lower latency and reliability are critical for daily operations and safety.

Swedish miner Boliden collaborated with Ericsson to deploy 5G at its Aitik mine fitted with hundreds of sensors for industrial automation. Boliden expects to uncover a potential business value of over €2.5m (US$2.7m) in net savings annually with the use of 5G networks.

Autonomous vehicles

The cellular vehicle-to-everything (C-V2X) communication project by 5G Automotive Association (5GAA) consortium, which has Audi and BMW as members, is looking up to 5G to extend communication range and enable faster data transmission between numerous sensors in the driving environment and centralized servers to coordinate autonomous driving safely and efficiently.

Robotics & drones

5G can fill the gaps in 4G with virtually instantaneous response times essential for robots to process more data in real-time, absorb new things and better communicate with the real world. While a 5G robot by KT Corp is already active in South Korea for coffee making, the technology is expected to be the key enabler of next-generation robotic applications such as telesurgery.

5G’s elevated bandwidth will enable drones to shoot live 4K or 360-degree videos through their cameras and revolutionize the way people watch videos.

VR

The widespread adoption of VR depends on reliable 5G networks as the immersive technology consumes huge data. The VR head-mounted displays currently require a powerful PC to run and store, which means the experiences are confined to a location and requires high power. The edge cloud capabilities of 5G look to have a solution for all these problems.

Dasgupta concludes: “While the commercial adoption of 5G for broader industrial applications is expected to take off in the early 2020s, its mainstream adoption could take longer due to several hurdles–the most crucial being cost. As the technology uses a totally different wavelength and needs much higher bandwidth compared to 4G and 3G, it requires network operators to replace the entire existing infrastructure. However, 5G adoptions will increase gradually and complement the effective implementation of emerging technologies.”

Hernaldo Turrillo

Hernaldo Turrillo is a writer and author specialised in innovation, AI, DLT, SMEs, trading, investing and new trends in technology and business. He has been working for ztudium group since 2017. He is the editor of openbusinesscouncil.org, tradersdna.com, hedgethink.com, and writes regularly for intelligenthq.com, socialmediacouncil.eu. Hernaldo was born in Spain and finally settled in London, United Kingdom, after a few years of personal growth. Hernaldo finished his Journalism bachelor degree in the University of Seville, Spain, and began working as reporter in the newspaper, Europa Sur, writing about Politics and Society. He also worked as community manager and marketing advisor in Los Barrios, Spain. Innovation, technology, politics and economy are his main interests, with special focus on new trends and ethical projects. He enjoys finding himself getting lost in words, explaining what he understands from the world and helping others. Besides a journalist, he is also a thinker and proactive in digital transformation strategies. Knowledge and ideas have no limits.

The post 5G To Drive Effective Adoption Of Emerging Technologies appeared first on OpenBusinessCouncil Directory.

• 71% of Brits wish to order food at their table – this is the most desirable restaurant technology.
• New restaurant features attract more custom, as 61% claim they would be more compelled to visit.
• Over half (57%) believe new tech is an effective way to tempt customers.
• Almost three quarters (71%) expect restaurants to be utilising new technologies.

We’re all partial to exciting new technologies. Whether it’s the newest mobile phone or smart speaker, we all yearn to get our hands on it.

Technology encompasses us, but not only in the obvious way of personal gadgets. We can often overlook how it enriches many aspects of our lives. In particular, when we go out to eat.

To rejig our memories, OnBuy.com surveyed 1,562 Brits on their attitudes towards restaurant technologies. Here’s what they thought.

It’s no surprise that self-order kiosks are the most familiar tech to Brits at 82% – most McDonalds and service stations now feature these. This is followed by:

• Ordering food via a mobile app (75%)
• At-table food ordering (68%)
• Digital-electronic bill payments (39%)
• Immersive dining experiences (33%). These can incorporate, but not limited to, the following: digitally enhanced walls and decoration, immersive and surround-sound music, digitally enhanced dining tables.

A clear priority emerges with the type of tech we want to see. British people desire the ease of everything in one place – hence the most desirable tech is at-table food ordering (71%), followed by at-table food tracking (64%) and interactive menu experiences (62%). This last one is specially interesting, as it can involve AR assisted menus that create pop-up menu items, displaying a projection mapping of ingredients within the dish, the cooking method and journey of the dish, nutritional information and allergens, and more.

Closely following are:

• Micro call buttons (59%)
• Immersive dining (57%)
• Wait list management software (51%), a type of computer software that enhances and fine-tunes a problem of busy restaurants – that is, a waiting list. Software could create any of the following: pre-orders for food and drinks to be ready on sit-down, text alerts for when a table is ready, a virtual waiting list, and more.
• Electronic bill payments (47%)

On the other side of the spectrum, the least favoured restaurant technologies are: at-table digital feedback services (33%), built-in games while you wait (29%), and facial/fingerprint recognition payments (10%).

A resounding number of respondents expect restauranteurs to implement new technologies – 71% expect it, 27% don’t, and 2% don’t mind.

Not only this, but new tech will evidently attract more custom. 61% of Brits are more intrigued by a restaurant utilising innovative tech. This is compared to 27% who aren’t, and 12% who say they’re not sure.

Overall, Brits are in favour of new restaurant tech. 57% believe tech will successfully entice customers into visiting. 17% don’t, while 26% are sceptical, explaining it depends on the tech.

Finally, when asked how likely they are to eat at a restaurant featuring these technologies, most believe they will. 33% answered very likely, followed by likely (20%), somewhat likely (13%), neither likely nor unlikely (16%), somewhat unlikely (5%), unlikely (9%) and very unlikely (4%).

Hernaldo Turrillo

Hernaldo Turrillo is a writer and author specialised in innovation, AI, DLT, SMEs, trading, investing and new trends in technology and business. He has been working for ztudium group since 2017. He is the editor of openbusinesscouncil.org, tradersdna.com, hedgethink.com, and writes regularly for intelligenthq.com, socialmediacouncil.eu. Hernaldo was born in Spain and finally settled in London, United Kingdom, after a few years of personal growth. Hernaldo finished his Journalism bachelor degree in the University of Seville, Spain, and began working as reporter in the newspaper, Europa Sur, writing about Politics and Society. He also worked as community manager and marketing advisor in Los Barrios, Spain. Innovation, technology, politics and economy are his main interests, with special focus on new trends and ethical projects. He enjoys finding himself getting lost in words, explaining what he understands from the world and helping others. Besides a journalist, he is also a thinker and proactive in digital transformation strategies. Knowledge and ideas have no limits.

The post Most Desirable Technologies When Eating Out appeared first on OpenBusinessCouncil Directory.

Even though implementation of artificial intelligence (AI) in the field of dermatology is not infallible, it could result in greater diagnostic capabilities and optimized patient care outcomes, says GlobalData, a leading data and analytics company.

AI in dermatology not only has potential in alerting people when they may need to see a doctor (usually through the use of a smart device), it can also be used to create an educational resource for medical students, as well as a confidence boost to physicians making a differential diagnosis.

One notable application has been the training of a convolutional neural network (CNN) to more accurately diagnose melanoma and less often misdiagnose benign moles. This method has been shown to demonstrate greater sensitivity and specificity than 58 international dermatologists, according to the European Society for Medical Oncology (ESMO) in May 2018.

Antoine Grey, Pharma Analyst at GlobalData, comments: “A CNN is trained to compare a new image to the most visually similar images from a pre-established library of images that capture the same pathology. Through machine learning, the CNN can teach itself from what it has learned to improve performance.”

In a study published by ESMO, it was revealed that when calibrated to identify benign moles to the same extent as the 58 dermatologists, the CNN correctly identified 95% of melanomas from a sample of 100 images, whereas the dermatologists identified 86.6% of melanomas.

Another example of integrating AI in dermatology is the appearance of tele-dermatology companies such as First Derm. These companies produce applications, which help patients in deciding whether they need to see a doctor in person or not.

Grey adds: “As a result, the patient can have peace of mind and dermatologists are not inundated with unnecessary patient visits that could easily be solved by over-the-counter medication.”

However, access to medical data sets needed to train AI can be difficult to attain at the scale necessary for training due to the need for patient consent and the potential requirement of approval from relevant ethics boards.

Moreover, the clinical data sets used for training are clinical images taken with a dermascope under controlled conditions; comparison of clinical data sets to images taken with a mobile phone in poor lighting conditions may lead to misdiagnoses. Another issue for AI may be the inability to distinguish between visually similar conditions with different causes, such as rashes caused by infection compared to rashes caused by a drug reaction.

Lastly, there is the potential for racial disparity in machine learning for skin cancer screenings. This was seen in the study published by ESMO, where there were far fewer images of patients that were not Caucasian, raising concerns that the mortality rate for African Americans developing melanoma will remain higher than in Caucasians even with the advent of AI in dermatology, despite Caucasians having a much higher risk of developing melanoma.

Grey concludes: “The implementation of AI in dermatology does present several issues that need to be addressed. However, it has potential to provide significant benefit to both patients and dermatologists alike.”

Hernaldo Turrillo

Hernaldo Turrillo is a writer and author specialised in innovation, AI, DLT, SMEs, trading, investing and new trends in technology and business. He has been working for ztudium group since 2017. He is the editor of openbusinesscouncil.org, tradersdna.com, hedgethink.com, and writes regularly for intelligenthq.com, socialmediacouncil.eu. Hernaldo was born in Spain and finally settled in London, United Kingdom, after a few years of personal growth. Hernaldo finished his Journalism bachelor degree in the University of Seville, Spain, and began working as reporter in the newspaper, Europa Sur, writing about Politics and Society. He also worked as community manager and marketing advisor in Los Barrios, Spain. Innovation, technology, politics and economy are his main interests, with special focus on new trends and ethical projects. He enjoys finding himself getting lost in words, explaining what he understands from the world and helping others. Besides a journalist, he is also a thinker and proactive in digital transformation strategies. Knowledge and ideas have no limits.

The post This Is How AI In Dermatology Can Help With Diagnostic And Patient Outcomes appeared first on OpenBusinessCouncil Directory.

56 per cent of global enterprises plan to use blockchain by 2020 thousands of innovative companies around the world are trying to solve market inefficiencies by leveraging the benefits that blockchain technology provides.

Blockchain is at an inflection point today with momentum shifting from the exploration of the concept to the building of practical business applications.

However, 45 per cent of executives are still wary of trusting this technology with the lack of scalability and the energy-consuming mechanisms cited as the biggest deterrents to mass adoption.

To overcome these challenges, World Wide Technology (WWT) and Dell Technologies, comprised of Dell EMC and VMware, have collaboratively developed a Blockchain Solutions Lab in the UK to host “Project Concord”, VMware’s project to provide a base for enterprise-grade blockchain implementations.

Project Concord addresses scaling and energy efficiency issues by using a Byzantine Fault Tolerance (BFT) consensus algorithm commonly found in blockchain networks.  The Project Concord consensus engine is ten times faster than typical current blockchain industry platforms.  Based on Project Concord, Dell Technologies are developing a broad, end-to-end set of blockchain capabilities, suitable for use by enterprise organisations and their applications.

Dave Locke, Chief Technology Officer at World Wide Technology comments: “The uptake of blockchain technology by companies around the world will see a huge shift in the way every sector does business, much like the monumental shift from paper to online in the business world. To realise this change however, new technology infrastructures need to be implemented to enable competent performance, reduced speed of transactions, embedded regulatory compliance and energy efficiency. 

“Project Concord aims to address these challenges, and we’re very excited to be showcasing it at the Blockchain Solutions Lab in the UK. This lab is a collaborative ecosystem – a place for customers to trial and prove their blockchain initiatives for seamless integration of this technology into their IT infrastructure.

“At WWT, we are constantly investing in cutting-edge technology for our clients so they can fulfil their ever-changing key business needs. Alongside providing the core infrastructure and best-in-class testing labs, WWT provides robust security measures and compliance mechanisms for companies looking to implement or upgrade their IT ecosystems. We look forward to bringing this ethos to blockchain technology integration as it revolutionises supply chains and business transactions across industries – one node at a time.”

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Project Concord addresses scaling and energy efficiency issues by using a Byzantine Fault Tolerance (BFT) consensus algorithm commonly found in blockchain networks. 

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World Wide Technology (WWT) is a technology solution provider with more than $10 billion in annual revenue that provides innovative technology and supply chain solutions to large public and private organizations around the globe.

Through its culture of innovation, WWT inspires, builds and delivers business results, from idea to outcome. It has won accolades from the likes of Glassdoor, Fortune and Best Place to Work, recognising the inclusion and diversity within WWT’s workplace. WWT is one of America’s largest minority owned businesses.

WWT works closely with industry leaders including Cisco (NASDAQ: CSCO); Dell Technologies (NYSE: DVMT); Hewlett Packard Enterprise (NYSE: HPE); Microsoft (NASDAQ: MSFT); NetApp, Inc. (NASDAQ: NTAP); VMware; AT&T Inc. (NYSE: ATT); Boeing (NYSE: BA); and the U.S. Air Force.

WWT employs more than 5,000 people and operates over 2 million square feet of warehousing, distribution and integration space in more than 20 facilities throughout the world.

Hernaldo Turrillo

Hernaldo Turrillo is a writer and author specialised in innovation, AI, DLT, SMEs, trading, investing and new trends in technology and business. He has been working for ztudium group since 2017. He is the editor of openbusinesscouncil.org, tradersdna.com, hedgethink.com, and writes regularly for intelligenthq.com, socialmediacouncil.eu. Hernaldo was born in Spain and finally settled in London, United Kingdom, after a few years of personal growth. Hernaldo finished his Journalism bachelor degree in the University of Seville, Spain, and began working as reporter in the newspaper, Europa Sur, writing about Politics and Society. He also worked as community manager and marketing advisor in Los Barrios, Spain. Innovation, technology, politics and economy are his main interests, with special focus on new trends and ethical projects. He enjoys finding himself getting lost in words, explaining what he understands from the world and helping others. Besides a journalist, he is also a thinker and proactive in digital transformation strategies. Knowledge and ideas have no limits.

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The UK AI field will play a huge role in industry going forward, according to West-Midlands pallet truck specialists, Midlands Pallet Trucks.

The firm – which supplies manual lifting equipment like manual stacker pallet trucks and sack trucks and trolleys to organisations in industry and logistics – has said that Artificial Intelligence will play a significant, defining role in Industry 4.0. And, with so much research and innovation taking place in the UK, the company added, this revolution could happen sooner rather than later.

The applications of AI – although widespread – are still in their infancy and the near future could see Ai-fed processes becoming the norm across swathes of industry, from gaining insight into efficiencies to product design to the manufacturing process itself. Midland Pallet Trucks is keen to point out that British industry stands at a critical crossroads when it comes to the uptake of AI and its management against the existing, human workforce. One of the main goals of AI – the firm points out – is to provide workspaces with machines that have autonomy and pull from a vast bank of knowledge on how best to proceed, but the impact on jobs and human-occupied roles will require careful and considerate planning.

Ultimately, Artificial Intelligence could carry the power to automate and oversee a number of roles that currently rely on human thought and reaction for the best outcomes. With this will come either the need to retrain staff for roles overseeing AI processes or, in the worst outcome, result in job losses. At the same time, AI provides enormous potential for large and small firms alike to streamline their in-house processes and boost their bottom lines. Midlands Pallet Trucks points out that regulation in the area of AI is sorely lacking, and the current climate is still one ‘wait and see’, as to the benefits and drawbacks of the technology on the human workforce.

Phil Chesworth, Managing Director of Midland Pallet Trucks, said, “It’s clear that Artificial Intelligence represents an enormously valuable tool for any sector of the manufacturing industry – and well beyond – but our main concern right now is how uptake is regulated and if there’s any kind of long-term vision out there in terms of minimising worker impact.

“Every warehouse and factory will still need humans on-site to oversee operations, that’s a given. But we need to be sure that Industry 4.0 doesn’t mean the exclusion of real workers in favour of cost-saving and job-eliminating AI. We know the UK is a hotbed of AI innovation, and it’s important that the impacts are assessed just as thoroughly as the benefits.”

Hernaldo Turrillo

Hernaldo Turrillo is a writer and author specialised in innovation, AI, DLT, SMEs, trading, investing and new trends in technology and business. He has been working for ztudium group since 2017. He is the editor of openbusinesscouncil.org, tradersdna.com, hedgethink.com, and writes regularly for intelligenthq.com, socialmediacouncil.eu. Hernaldo was born in Spain and finally settled in London, United Kingdom, after a few years of personal growth. Hernaldo finished his Journalism bachelor degree in the University of Seville, Spain, and began working as reporter in the newspaper, Europa Sur, writing about Politics and Society. He also worked as community manager and marketing advisor in Los Barrios, Spain. Innovation, technology, politics and economy are his main interests, with special focus on new trends and ethical projects. He enjoys finding himself getting lost in words, explaining what he understands from the world and helping others. Besides a journalist, he is also a thinker and proactive in digital transformation strategies. Knowledge and ideas have no limits.

The post The UK’s Role in AI will have a Major Impact on Industry 4.0 appeared first on OpenBusinessCouncil Directory.