Preventing Extinction Using Artificial Intelligence and Citizen Science

Wild Me is introducing an innovative program where citizen science and high technology are combined to fight the extinction of wildlife. Microsoft AI is the technology that uses the algorithm to distinguish the pattern of an animal’s physical appearance, for instance, skin pattern and scars. This program would not be completed without the help of citizen science and researchers who actively seek the existence of the living creatures and record them. For example, the data shows that Wild Me succeeded in identifying 10 times more whale sharks than ever recorded. https://www.wildme.org/

Continue reading →

Rate Idea

1 Star2 Stars3 Stars4 Stars5 Stars (5 votes, average: 4.80 out of 5)
Loading...

A Minister for Artificial Intelligence

IMG_2529

The United Arab Emirates (UAE) is the first nation with a government minister dedicated to AI. As tech companies begin to center their business models around AI, the UAE want to be at the forefront of this development. Dubai, for example, plans to put robot cops on the streets by 2030 and they’ve been pushing to get autonomous vehicles on the city’s roads and in its skies. https://futurism.com/dubai-just-appointed-a-state-minister-for-artificial-intelligence/

Continue reading →

Rate Idea

1 Star2 Stars3 Stars4 Stars5 Stars (10 votes, average: 4.30 out of 5)
Loading...

The Intelligence Revolution has started!

IMG_2120

The world in undergoing a new revolution and it’s not just the 4th Industrial Revolution. It’s impacting on virtually every aspect of our business and personal lives. We can call it the Intelligence Revolution because it’s based on AI (artificial intelligence). The Industrial Revolution enabled us to build powerful machines that could do things for us. The Intelligence Revolution is enabling us to create machines that are making decisions for us with AI- a whole new step forward in technology. Try this link to see how your job will be affected. http://mobile.abc.net.au/news/2017-08-08/could-a-robot-do-your-job-artificial-intelligence/8782174?pfmredir=sm

Continue reading →

Rate Idea

1 Star2 Stars3 Stars4 Stars5 Stars (20 votes, average: 4.95 out of 5)
Loading...

Actor-Oriented Organizing for the Digital Age

Digital technologies are transforming the global economy. In his pioneering book Being Digital (1995), technology futurist Nicholas Negroponte described how the old industrial economy would be eaten away by a new digital economy. Moreover, digital technologies make it possible for members of an organization to self-organize and thereby avoid the delays, distortions, and other damaging effects of hierarchically organized systems. Established companies recognize that digital technologies can help them operate their businesses with greater speed and lower costs and, in many cases, offer their customers opportunities to co-design and co-produce products and services. Many start-up companies use digital technologies to develop new products and business models that disrupt the present way of doing business and take customers away from firms that cannot change and adapt.   Digital technologies play a role in all aspects of operating, controlling, and coordinating the activities of organizations. Broadly speaking, they are used for automating and augmenting tasks, communicating internally among organization members and externally with customers and partners, and in collaborative decision-making among digital and human agents. At Tesla’s manufacturing facility in Fremont, California, technicians work alongside 185 robots made by the German firm Kuka Robotics to assemble the electric cars. By using artificial intelligence “reinforcement learning algorithms,” the robots are able to switch tools and perform certain tasks far better and faster than their human co-workers. Surgeons at the Mayo Clinic use robots to augment a variety of surgical procedures in heart, head, and neck operations. The surgeons perform those operations by controlling surgical micro-instruments attached to robotic arms.   Both intra- and inter-organizational transactions and communications have been performed digitally for a long time. Walmart exemplifies a highly digitalized supply chain connecting its stores, distribution centers, and suppliers. Currently, social media such as Facebook and Twitter are used by companies to communicate with their customers and other stakeholders, and digital platforms such as Facebook at Work and Microsoft’s SharePoint allow for internal communication and for collaboration with partners.   Digital technologies are also used for learning, decision-making, and design. E-commerce companies such as Amazon, Google, Airbnb, and Uber study the data trails of consumer behavior to design markets for greater efficiency and build new markets. Intelligent digital design tools such as Autodesk are used in engineering and creative industries. Those tools typically offer 3D representation of the objects under design, and they allow designers to simulate the operations and performance of alternative design choices. In semiconductor manufacturing, the designs are digitally transmitted to equipment that manufactures the product. With continuing development and wider adoption of 3D printing technologies, the design-to-manufacturing process will become fully digitalized across many more industries. The U.S. Army, for example, is currently experimenting with the 3D printing of food in order to feed troops as they mobilize across difficult geographies. Some companies employ digital design tools in collaborating with their customers. Lego provides toolkits on its website that enable entrepreneurs and customers to submit product ideas and start new Lego brick-based businesses.   Digital technologies are not only changing how organizations operate but also the way we think about organizing. A traditional organization is arranged hierarchically – that is, control and coordination are achieved through an authority (reporting) structure in which superiors plan and coordinate the activities of subordinates, allocate resources, and resolve problems and conflicts. A hierarchical organization can be effective in stable and predictable environments because the organization does not have to regularly innovate or adapt to change. Many of today’s environments, however, are not stable and predictable; they are volatile, uncertain, complex, and even ambiguous. Such environments are characteristic of knowledge-intensive industries like biotechnology, computers, healthcare, professional services, and national defense. Organizations operating in these types of industries must be agile and innovative, and their success depends heavily on the agency of their members. A hierarchical organization inevitably instills a hierarchical mindset among its members. Members understand that they are being paid to do a particular job, and they look to their managers to set goals, formulate plans, and approve the quality of their work. As a result, organization members become psychologically as well as economically dependent on the hierarchy. In addition to the friction created by “relay managers” who merely pass along information, hierarchical management styles tend to reduce intrinsic employee motivation to take initiative.Hierarchically managed organizations, in short, are constrained in their ability to innovate.   My colleagues and I (Strategic Management Journal, 2012) have developed an organizational architecture that is appropriate for knowledge-intensive sectors where organizations must continuously learn, innovate, and adapt. We call this architecture “actor oriented” because it places a premium on human capital: the organization members themselves and the other people and organizations with whom they interact. Actor-oriented organizations rely on self-organizing, with only minimal use of hierarchical mechanisms to achieve control and coordination. Our architectural scheme is composed of three elements: (1) actors who have the capabilities, mindset, and values to self-organize; (2) commons where the actors accumulate and share resources; and (3) protocols, processes, and infrastructures that enable multi-actor collaboration. We believe that actor-oriented organizing is a new paradigm for designing and managing organizations. It is best used in situations where exploration and innovation are desirable or required. It enables actors to share knowledge and engage in collaborative problem solving. In actor-oriented organizations, control and coordination are based on direct exchanges among the actors themselves rather than on hierarchical planning, delegation, and integration. Although hierarchy is present in actor-oriented organizations, these designs mainly rely on lateral, reciprocal relationships among actors for control and coordination. Dr. Charles Snow Chairman, Organization Design Community Professor Emeritus, Penn State University  

Continue reading →

Rate Idea

1 Star2 Stars3 Stars4 Stars5 Stars (1 votes, average: 5.00 out of 5)
Loading...

How AI and LMS are positively disrupting the workplace.

Artificial Intelligence (AI) is dominating the workforce more than ever and at a rapid pace – the rise of AI and automation is greatly redefining our future and the future of working. A report commissioned by Google indicated only 9% of Australia’s listed companies are making sustained investments in automation, compared to 20% in the US.  While many fear AI, it should in fact be viewed as an opportunity to positively transform the workplace. Workplaces across any industry should take this opportunity to refocus on the advantages they bring such as quality learning and development, team building, human connections and skills to safeguard jobs. According to a report commissioned by Udemy, the biggest challenge for 78% of Learning and Development (L&D) Managers is keeping their employees’ skills up to speed with change. With the rise of AI and automation being implemented in the workforce, leaders need to be quick to jump on the L&D wagon to prepare their organisation and staff for the upcoming changes. Businesses will need to start building teams that are equipped to lead and push the boundaries  of automation to their advantage. To effectively implement the right tools to cater to your L&D needs, there are plenty of effective Learning Management Systems (LMS) in the market. However, the LMS is never one size fits all. To maximise the potential of the LMS, we need to move away from the one-dimensional programs and look at a  more human-centred approach, mapped against the business culture, team and leadership influences. Here are 5 reasons why AI and LMS should be implemented in the workplace: Boosts Productivity LMS with personalised learning programs delivers learning tools and outcomes that can be tracked and reported which will greatly improve the efficiency and productivity of teams.  A best-of-breed LMS allows this by using an AI style rules engine drawing on rich metadata on the staff member as a result of robust integration with the HR information systems. This approach not only helps an organisation align its objectives with its learning strategies but it also produces an effective and automated business process allowing its learning and development professionals to focus on improving the learning systems and content. Automation provided by the LMS means they can focus on developing the system and learning, not simply serving it.  Having quality LMS systems like the one’s Androgogic use from Totara will provide better training and essentially equip a team with the right skill sets and knowledge required to work effectively and efficiently, essentially boosting productivity. Rich metadata can be captured such as individual job roles, business unit, associated cost center data and leave status which are used by the LMS’s AI-style rules engine to automatically apply learning pathways appropriate and required for each staff member. 2. Measurable results and reporting When investing in LMS programs and implementing changes to internal learning and development, the question organisations often ask is about return on investment. The LMS is a cloud-based system which stores information accessible to all staff and allows you to easily collate data and measure the effectiveness of the program. This data includes completion rates, engagement, time, course results and grades which will all be congregated into reports conducted by the LMS. Not only providing quality and consistent training with a personalised approach, LMS systems are cost effective when it comes to maintaining in-house software systems. 3. Cost effective Traditional training programs like seminars and facilitations generally require high costs like travel, printed materials, cost of program instructors, venues and other on floor expenses. Implementing a high quality LMS program delivers a resourceful tool that is readily available for employees anytime, anywhere, saving time away from the desk! The Capterra LMS Industry User Research Report found the top reasons users selected LMS software systems was based on functionality (53%), followed by price (32%), support (5%), company reputation (3%), and software popularity (3%). 4. Deliver content instantly Implementing LMS programs allows you to centralise training programs under one consolidated platform. Housing all your learning materials and courses in one place makes the delivery of training more convenient, allowing employees to acquire new knowledge and skills at their own pace, instantly and in a personalised way. 5. Continuous learning In today’s era  of ongoing digital and technological advancements, employees need to be continuously upskilled, training programs need to be incessantly evolving and engaging. A Careers and Learning report commissioned by Deloitte indicated 83% of employees say job training is important to them and push for their organisations to shift to flexible, open career models that offer enriching assignments, projects, and experiences rather than a static career progression. Having the LMS system readily available allows for a more flexible workplace where employee development, learnings and growth are core. Importantly, training provided with LMS systems  increases employee satisfaction. By Alexander Roche Founder and Principal Educational Technologist for online learning infrastructure and services company Androgogic servicing Higher Education, VET, K12, corporate and government markets with over 1 million learners on Androgogic hosted systems.   

Continue reading →

Rate Idea

1 Star2 Stars3 Stars4 Stars5 Stars (8 votes, average: 5.00 out of 5)
Loading...

A new technology that identifies healthy embryos

Life Whisperer, a new technology that identifies healthy embryos, has been labelled a game changer for couples struggling to conceive. The world-first IVF technology developed in South Australia uses artificial intelligence to compare images of new embryos with those that have previously led to successful pregnancies. Currently, doctors have to rely on the naked eye, and a microscope, to determine the healthiest embryo. https://7news.com.au/news/sa/revolutionary-ivf-treatment-uses-artificial-intelligence-to-find-healthy-embryos-c-76007

Continue reading →

Rate Idea

1 Star2 Stars3 Stars4 Stars5 Stars (6 votes, average: 5.00 out of 5)
Loading...

Rate Idea

1 Star2 Stars3 Stars4 Stars5 Stars (7 votes, average: 4.86 out of 5)
Loading...

How to use AI in E-commerce

Do you run an e-commerce store that sells fast moving products or services? Well, if you do, then you are lucky. Research by Statistica shows that in 2018,  total e-commerce sales hit $2.8 trillion. It is expected that this figure will significantly increase in 2019, and might hit $4.88 trillion by 2021. This means that, if you do everything right and reach a wider target market, your business will grow tremendously. Similar to e-commerce,  artificial intelligence (AI) is another booming field. A survey by Statistica shows that the global revenue of products and services using AI is over $482 billion, and is expected to hit $3.61 trillion by 2024. With the above statistics, you learn one lesson – if you want to succeed in your e-commerce endeavours, you should incorporate AI. But how do you do this? Below are some innovative ways you can use AI for your e-commerce store: Provide A-class service Today, your credibility, trust, and reputation are dependent on how you serve your customers. If they have a bad experience, they are not likely to come back to your business, and they will most likely give you poor reviews in multiple review sites. However, if you give them the best customer service, they will come back for more, refer you to others and give you good reviews which will enhance your reputation. You can use AI to enhance customer service by using chatbots, which give customers 24/7 customer support even when you are not online. Chatbots are capable of saving you money by improving response times and offering quick solutions to the most pressing issues about your website. They also enhance personalisation in your business, which goes a long way to increasing sales and profit margins. Optimise searches and recommendations Most people who visit your e-commerce store will search for products using natural language, and if they are unable to find them, they will believe they are having a bad shopping experience and leave your site. You can fix this by using AI. Today, it is not wise to create a search box and leave it as it is. Instead, optimise it and include some recommendations with the help of AI. For example, when a user searches for a product the system could automatically recommend similar products and display their prices. This will ultimately increase your sales. Retarget potential clients Are there people who showed interest in your products or services, but never completed a transaction, or didn’t perform any action? You don’t have to ignore them and carry on with your business life. You can retarget them using AI. AI will automate your sales process and give you necessary information such as user behaviour which you can then use to retarget your client. It will also give you insights on the types of products you can target for a particular audience depending on their behaviour patterns. You can also use AI to; Create an efficient sales process through voice and natural language inputs Identify exceptional target prospects through predictive analysis Automate back-office processes such as product data management and manual mapping of products If you want your e-commerce store to succeed don’t treat AI as an emerging technology. Treat it as a mature technology, and use it in the innovative ways mentioned above.  Danny Kariuki  https://fitzallblades.com

Continue reading →

Rate Idea

1 Star2 Stars3 Stars4 Stars5 Stars (4 votes, average: 5.00 out of 5)
Loading...

10 Practical uses of Deep Learning

Deep learning has altered the way we operate in various ways. These are 10 practical use cases of Deep Learning in the last few years. ONE: Facial Recognition Most airports are now able to use deep learning techniques to identify and track persons of interest (e.g. terror suspects), track your luggage and detect any suspicious item very quickly. VPU (Vision Processing Unit)-enabled security cameras installed at airports generate alerts the moment they find someone leaving their luggage, thus making it possible to detect airport security threats within minutes. Installed in traffic scenarios, they can also recognize driver-less cars and help them find the right parking spots. TWO: Understanding customer behaviour in ecommerce E-commerce sites, such as ebay and Amazon, are greatly benefited through Deep Learning. The entire session journeys of consumers are noted. The longer and more dynamic an event is, the greater is the propensity of people to click on the ‘buy now’ button. Once a particular consumer behaviour is noted in case of a range of products, the site is optimized to ensure that the next time a similar consumer visits, they get a more engaging experience so as to convert into a purchase within the shortest time. THREE: Having a private tech self-support For calendar coordination and scheduling, we have Clara and to gather staff report and consolidate meeting information we have Howdy. Google Now is the preferred program for keeping on schedule through proactive alerts, and for follow-ups after meetings, GridSpace Sift is a brilliant manager. FOUR: Transforming the industrial sector through Internet of Things Data In several countries, chemical manufacturing units and aircraft units are installing machine learned sensors to get a complete idea of new challenges and insights. This has helped in reducing pitfalls and machine breakdown, thus considerably reducing costs and maintaining a healthy and hygienic environment in manufacturing units. FIVE: Convolutional neural networks finding minerals Geologists in Australia are currently using the procedure to locate minerals in relatively unexplored areas of the land. SIX: Deep learning facilitating automatic grading of eye diseases Researchers today are very close to developing digital assistance to radiologists, ophthalmologists and other clinicians. Significant progress has been made in the field in the past years. SEVEN: Defining personal style through artificial intelligence Visit a page of your favourite shopping site a few times and you will find that products as per your preference are displayed on your personalized page. Thus, your work of choosing and shopping has been made simpler. EIGHT: Deep learning reducing error rate for diagnosis of breast cancer Adoption of this machine-learning method has enabled pathologists working with computers, to outperform independently working pathologists. Machine learning has been adopted by several breast cancer research organizations. The algorithms put together in the technologically enhanced machines help pathologists identify cancer cells through lymph node images. NINE: Deep learning is now a part of baby monitor systems Instead of conventional baby monitors that just track breathing and heart-rate of children, advanced baby monitors have hit the market that detect wrong postures and movements of the baby, generating alerts to parents from time to time. Thus, if your baby is accidentally sleeping on her stomach, mum can get an alert in the kitchen through the baby monitor and rush to her cot to perfect the posture. Furthermore, if a baby is sleeping on the edge of the bed, an alert is sent to the mum, so she can settle the baby before a fall. TEN: Machine learned cars can now find their way through complex traffic routes A DNC (Differentiable Neural Computer) has been developed by Google’s DeepMind and today it is being installed within cars so that, if it is simply presented with maps, lines and stops, it can take the shortest and simplest route to navigate from one point to another. Thus, making it possible for new drivers to make through new roads without difficulty. Machine learning through neural networks is picking up speed and increasing in popularity all over the globe. Continuous research and improvisations in the field can give us many more ways that deep learning can ease human involvement and accelerate productivity. SHAILENDRA KUMAR First published in Cognitive Today

Continue reading →

Rate Idea

1 Star2 Stars3 Stars4 Stars5 Stars (3 votes, average: 5.00 out of 5)
Loading...

A new way to assess the worth of rural properties

Now, with the added advantage of satellite technology, machine learning, artificial intelligence and cloud-based geospatial technology it has been possible to create a new way to value Australian agriculture. This new service from Digital Agriculture Services is set to revolutionise how decisions and investments are made in agriculture. https://digitalagricultureservices.com/

Continue reading →

Rate Idea

1 Star2 Stars3 Stars4 Stars5 Stars (8 votes, average: 5.00 out of 5)
Loading...

Music designed to help you focus, relax or sleep

Brain.fm is one of several companies using artificial intelligence to help you hone into a productive state of work, a. state of relaxation or a deep sleep,. While most music is designed to sound good, Brain.fm works with teams of scientists and engineers generating music that helps you achieve your desired state of mind. Human composers write and record the core sound tracks, and an AI engine mixes, matches, and remasters them into longer tracks. www.Brain.fm

Continue reading →

Rate Idea

1 Star2 Stars3 Stars4 Stars5 Stars (4 votes, average: 4.50 out of 5)
Loading...

Finding koalas with heat seeking drones

Heat from animals can be identified using high tech sensors in cameras flown in drones. Artificial intelligence algorithms are used to analyse the thermal imagery to determine what’s seen and can identify koalas. Field tests after the heat-sensing camera work showed it was 100 per cent accurate. https://www.smh.com.au/environment/conservation/heat-seeking-drones-find-brisbane-s-hiding-koalas-20181003-p507km.html

Continue reading →

Rate Idea

1 Star2 Stars3 Stars4 Stars5 Stars (3 votes, average: 5.00 out of 5)
Loading...