Artificial Intelligence and Automation

            AI in business. Robotic process automation is being applied to highly repetitive tasks normally performed by humans. Machine learning algorithms are being integrated into analytics and CRM platforms to uncover information on how to better serve customers. Automation is basically making a hardware or software that is capable of doing things automatically. Consider the example of fire alarm systems deployed in buildings. AI is all about try to make machines or software mimic human behavior and intelligence. 

               Some of the world's biggest brands are increasingly turning to automation in order to better serve customers and to reduce costs. Big-box retailers use automated warehouses to sort and ship products, while social media networks use automation to moderate comments, and credit card companies use automation to detect fraud.

               For example, Synapse is building a network that gives anyone the ability to contribute his or her data and train automation and machine-learning models. The implications here are massive, because a new AI economy, including decentralized blockchain AI, could change the way businesses operate and learn around the world.

Reusable Rockets

             One of the costliest aspects of space exploration is the building of sophisticated and powerful rockets capable of transporting thousands of pounds of equipment into space. The fact that we have figured out how to land rockets -- even the large ones used to launch the Falcon Heavy -- will help to reduce the cost of space travel.

           A reusable launch system (RLS, or reusable launchvehicle, RLV) is a space launch system intended to allow for recovery of all or part of the system for later reuse. To date, several fully reusable sub-orbital systems and partially reusable orbital systems have been flown. NASA's space shuttle was the world's first reusable spacecraft.

           It launched like arocket and returned to Earth like a glider. It was designed to carry large payloads — such as satellites — into orbit and bring them back, if necessary, for repairs.

 To date, several fully reusable sub-orbital systems and partially reusable orbital systems have been flown. However the design issues are extremely challenging and no fully reusable orbital launch system has yet been demonstrated.

Cloud Computing

                Cloud computing provides a simple way to access servers, storage, databases and a broad set of application services over the Internet. A Cloud services platform such as Amazon Web Services owns and maintains the network-connected hardware required for these application services, while you provision and use what you need via a web application.

   

Whether you are running applications that share photos to millions of mobile users or you’re supporting the critical operations of your business, a cloud services platform provides rapid access to flexible and low cost IT resources. With cloud computing, you don’t need to make large upfront investments in hardware and spend a lot of time on the heavy lifting of managing that hardware. Instead, you can provision exactly the right type and size of computing resources you need to power your newest bright idea or operate your IT department. 

     

        Cloud computing has three main types that are commonly referred to as Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). You can access as many resources as you need, almost instantly, and only pay for what you use. Amazon Web Services (AWS) offers a broad set of global compute, storage, database, analytics, application, and deployment services that help organizations move faster, lower IT costs, and scale applications. 

Angular and React

                Angular and React Training – Explore the Curriculum to Master Angular and React. There are JavaScript based Frameworks for creating modern web applications. Using React and Angular one can create a highly modular web app. So, you don’t need to go through a lot of changes in your code base for adding a new feature.

               The  angular and react also allows you to create a native mobile application with the same JS, CSS & HTML knowledge. Best part – Open source library with highly active community support. The comparison between these two technologies cannot be fully covered. Angular comes with a complete framework (MVC), while React is a fronted-library with lots of open-source packages to integrate with. 

               Overall, these technologies have made it much easier for developers to reuse, refactor, and maintain code by dividing things into modules/components. The goal of this article is not to find the best technology, but to compare, highlight, and clarify few misconceptions. We’ll also focus on what is important instead of minor details that do not really matter in the long-term.

Intelligent Apps (I – Apps)

                I-Apps are pieces of software written for mobile devices based on artificial intelligence and machine learning technology, aimed at making everyday tasks easier.This involves tasks like organizing and prioritizing emails, scheduling meetings, logging interactions, content, etc. Some familiar examples of I-Apps are Chatbots and virtual assistants.Technology has become the embedded component of applications and the defacto driver for growth in industries. With the advent of AI, new milestones are being achieved each day. 

             The next generation of mobile applications will be the result of multiple worlds colliding: when application development meets artificial intelligence, the Internet of Things and big data analytics, intelligent apps are the outcome. Put simply, these are apps that continually learn from user interactions and other data sources to become even more relevant and useful.

            We are moving towards an era of more and more integration, making it an indispensable mediator between systems and humans. The rapid strides taken by mobile industry, seems like an overwhelming convergence of multiple worlds. The innate ability of such systems to improve itself, strengthened by data analytics, IoT and AI have opened new frontiers. To reap the unbound merits of AI, software application vendors are integrating it into software applications. It is literally the dawn of intelligent applications.

Digitaltwins

           Digital twin refers to a digital replica of physical assets (physical twin), processes, people, places, systems and devices that can be used for various purposes. The digital representation provides both the elements and the dynamics of how an Internet of things device operates and lives throughout its life cycle. A digital twin refers to the digital representation of a real-world entity or system. By 2020, Gartner estimates there will be more than 20 billion connected sensors and endpoints and digital twins will exist for potentially billions of things.

             Organisations will implement digital twins simply at first. They will evolve them over time, improving their ability to collect and visualise the right data, apply the right analytics and rules, and respond effectively to business objectives. “One aspect of the digital twin evolution that moves beyond IoT will be enterprises implementing digital twins of their organisations (DTOs).

             A DTO is a dynamic software model that relies on operational or other data to understand how an organisation operationalises its business model, connects with its current state, deploys resources and responds to changes to deliver expected customer value,” says Cearley. “DTOs help drive efficiencies in business processes, as well as create more flexible, dynamic and responsive processes that can potentially react to changing conditions automatically.”

Companies will need Data Ethicists

            2019 will be the year that companies hire a “data ethicist,” says Gil Elbaz, CEO of Factual, a location data provider. “As more and more decisions are made using AI, the teams amassed to build, test, and teach that software are growing as well,” he says. “The smarter these systems become, the more important it is that they’re designed with the needs of, and respect for, humanity in mind. It’s difficult, if not impossible, to program a machine to understand a human ethic.” Companies will solve this by hiring a data ethicist.

            The ability for a business to operate based on some amount of intelligence is not new. Even before business owners used manual techniques such as writing customer orders in a book or using calculators to help forecast how many pounds of potatoes might be needed to stock up for next week's sales, there were forms of "insight searching." Enterprises are always looking for operational efficiencies, and today they are gathering more intelligence exponentially.

         A significant part of business intelligence is understanding customers. The more data a company has about its current or prospective customers' wants, likes, dislikes, behaviors, activities, and lifestyle, the more intelligence that business can generate. “The technology is ultimately responsible for making a decision, but the steps it took to get there will be informed by data scientists programming with human ethics in mind,” Elbaz says. In principle, more data suggests the possibility of more intelligence.