Delivery Drones

       Delivery drones are operated autonomously or remotely, with operators potentially overseeing multiple drones at once. In several examples across the world, drones are being used for delivering time-sensitive items, such as medicine, or deliveries that would be difficult with traditional vehicle-based services. The delivery drones are “Unmanned Aerial Vehicles” (UAVs) that can deliver lightweight packages. Drones generally use 4-8 propellers and rechargeable batteries to provide thrust and attach packages underneath the body of the drone.

    

      A technology like delivery drones will surely face a number of hurdles before being adopted for commercial use. The introduction of delivery drones has stimulated discussion of what the technology can accomplish in terms of reduced vehicle travel. Delivery drones have the potential to change last-mile delivery economics for smaller and lighter packages as they could replace many deliveries currently made by traditional delivery vehicles.

        A differentiator in the space will be those that can add delivery through drones. Uber is already on the move, allegedly designing a drone delivery system called UberExpress that could be operational by 2021, according to a recent report by the Wall Street Journal. The company is participating in a drone pilot program in North Carolina.

Immersive Experiences in Smart Spaces

             Chatbots integrated into different chat and voice assistance platforms are changing the way people interact with the digital world, just like virtual reality (VR), augmented reality (AR), and mixed reality (MR). The combination of these technologies will dramatically change our perception of the world that surrounds us by creating smart spaces where more immersive, interactive, and automated experiences can occur for a specific group of people or for defined industry cases.

            The momentum driving digital transformation forward within the technology industry has been building for several years. This shift in how organisations do business will affect every organisation in every sector and there is no sign of it slowing down in 2019. One of the technologies that Gartner has identified as a key trend for 2019 is ‘smart spaces’ – an innovation that will accelerate digital transformation.

               The idea of technology existing beyond a physical notion of a device has been popularised by cloud computing, but Gartner also believes that 2019 will see an increase in the number of autonomous ‘things’, such as robots, drones and vehicles, working together intelligently. Gartner foresees “swarms” of devices collaborating with each other and with humans to automate processes and solve problems.

Big Data

               Big Data and Hadoop Training – Explore the Curriculum to Master Big Data and Hadoop. Big data refers to problems that are associated with processing and storing different types of data. Most of the companies today, rely on big data analytics to gain huge insight about their: customer, product research, marketing initiatives and many more. The consolidation of big data vendors (as measured by the dwindling number of vendors at trade shows like Strata) will level off. Soon, the number of companies getting acquired or simply disappearing will match the number of new entrants.

               For your surprise, big data led Germany to win the world cup. Hadoop and Spark are the two most famous frameworks for solving Big Data problems. If you already have some knowledge of Big Data, splendid! If not, now is the time to start. With 2018 coming to a close, it’s time to engage in that long-standing New Year’s tradition of putting on our sorcerer hats and predicting what’s ahead for big data trends in 2019.

           Fewer vendors will get funded, but more of them will be delivering a greater level of innovation and value. the first wave of big data vendors included many organizations that weren’t building businesses–they were building features. As more of them get rolled up into an integrated stack, it will be up to the next generation of players that come in to transform big data into something that’s truly big.

Technology not replace Teachers

             Technology Will Not Replace Teachers. There is an onslaught of technology on the modern classroom. Teachers, administrators, parents, and students alike are being told that technology is the whetstone with which we can all sharpen our education system. Technology can open doors, expand minds, and change the world.

            The technology has, no doubts, brought a lot of relief for the human kind, but that doesn’t mean it can overpower or substitute humans. And, the major cause for this is its inability to interact with humans. Coming to the education sector, technology is undoubtedly a boon for many, as while on one hand, it does make learning easy for students, on the other it eases the teaching process for the teachers. There is an onslaught of technology on the modern classroom. Teachers, administrators, parents, and students alike are being told that technology is the whetstone with which we can all sharpen our education system.

              The technology can open doors, expand minds, and change the world. That may be true, but it’s not the panacea that it’s been made out to be. In fact, the influx of technology like iPads means there is a greater need for teachers. We need teachers who are part early adopter, part integrator, and part mad scientist. The modern teacher must be willing to take chances and able to figure out how not just how technology works, but how it works for each student, and where its use is most appropriate.

Voice Shopping in Vehicles

          Voice shopping in vehicles may arrive. I predict that we’ll be able to use our voices to shop during our commutes, thanks to the seamless integration of voice interfaces in cars. We could see billboards prominently using voice shopping calls to action. Amazon released its Alexa Auto Software Development Kit in August, which allows you to summon Alexa for navigation, controlling entertainment options, building a grocery list, etc. Very soon, I think we can expect voice shopping in vehicles because it’s really as simple as retailers adding an Alexa skill for voice shopping.

           At CES 2018, voice technology proved it will be integrating even further into our lives. Car manufacturers announced new voice assistant features. Google and Amazon are battling it out to introduce their voice assistants into our cars; which means the days of tapping a screen to check directions or look up info while driving will be long gone. This is unsurprising, as over 32 million people drive cars in the UK, meaning they’ll be reaching a wide audience. Instead, drivers will speak and their car will speak back.

         Fifty percent of all searches will be voice searches by 2020, according to comScore. As we become accustomed to the ease of speaking, rather than typing, consumers will change the way they interact with their surroundings. It’s no wonder big names already want in; this is something that will really change our journeys.

DataOps

             Data Operations (DataOps) is rapidly emerging as a discipline for organizations that continue to struggle with the management of data as a shared business asset.  DataOps brings a set of data engineering principles which borrow from the DevOps software development movement.  The intent is to deliver “rapid, comprehensive, and curated data” to business analysts and decision-makers.

               The dataOps is a new approach to the end-to-end data lifecycle, which applies new processes and methodologies to data analytics.We expect 2019 to be a breakthrough year for DataOpsapproaches as firms strive to derive value quickly and efficiently from their data assets. We also believe that companies will increasing use machine learning to integrate and improve their data environments, as we described in a post about GlaxoSmithKline.

     Agile software development helps deliver new analytics faster and with higher quality. DevOps automates the deployment of new analytics and data. Statistical process control, used in lean manufacturing, tests and monitors the quality of data flowing through the data-analytics pipeline. Growing enterprise interest in DataOps has spawned a robust ecosystem of vendors. To date, over $50M has been invested in companies who market a wide array of DataOps product and services.

DevOps

               DevOps Training – Explore the Curriculum to Master DevOps tools. This is the odd one out in the list. It is not a technology, but a methodology. DevOps is a methodology that ensures that both the development and operations go hand in hand. DevOps cycle is picturized as an infinite loop representing the integration of developers and operation teams by: automating infrastructure, workflows and continuously measuring application performance.

              The DevOps is a set of practices that automates the processes between software development and IT teams, in order that they can build, test, and release software faster and more reliably. The concept ofDevOps is founded on building a culture of collaboration between teams that historically functioned in relative siloes.

               The DevOps describes a culture and set of processes that bring development and operations teams together to complete software development. It allows organizations to create and improve products at a faster pace than they can with traditional software development approaches.