Artificial intelligence is transforming all industries and logistics is one of them. Logistics is the management of the flow of products between different locations. A global network of suppliers and customers complicate logistics operations and logistics companies contain both easy to automate tasks and complex processes that can benefit from AI/machine learning algorithms. The technology offers a wide range of capabilities to logistics companies from autonomous machines to predictive analytics. According to Mckinsey research, the logistics industry has adopted AI mostly for 4 business functions which are service operations, product and service development, marketing and sales, and supply chain management.

Autonomous things (AuT), or the Internet of autonomous things (IoAT), is a rising term for the innovative advancements that are expected to carry computers into the physical environment as autonomous entities without human guidance, openly moving and collaborating with people and different items. AuTs are stocked with sensors, AI and analytical abilities to improve the things they can do. With that impact, each machine can settle on its own choice and complete tasks autonomously. These gadgets are fit for working independently. Autonomous devices need to interface with their environmental surroundings to stay away from accidents.

Artificial intelligence is a promising field of technology where innovations happen every year. Following the trends in this area and applying them to your own business, you will manage to outwit your competitors and discover new exciting opportunities for your success. If you feel like you do not have a strong understanding of what stands behind these terms, feel free to explore the difference between machine learning vs deep learning vs reinforce learning. This will help you to proceed with this post and understand the latest AI business trends. Hyperautomation is the first in the list of technological trends in 2020.

Autonomous Things (AuT) technology has not only found use cases in several industries including retail, security, transportation, military, and more – it's already transforming the very way we live. Find everything you should know about AuT in this guide. Autonomous Things (AuT), also known as the Internet of Autonomous Things (IoAT), are devices that use machine learning and artificial intelligence (AI) algorithms to complete specific tasks. AuTs are equipped with sensors, AI and analytical capabilities to improve the things they can do. To that effect, each machine can make its own decision and complete tasks autonomously. Some examples of AuT are self-driving cars, drones, autonomous smart home devices, and every other technology that does not need human control to be operational.

New and emerging technologies have the capacity to change our lives. If they are used correctly, they can improve the way we live, work, and do business. If misused, they can create problems ranging from a small disturbance caused by automated software to a large scale security breach. Rapid developments and adoption of these technologies in the enterprise are contributing to the digital transformation that slowly started some years ago. And so, year after year industry analysts identify the technology trends that will shape and disrupt businesses in the next few years.

Robotic Process Automation (RPA) market is evolving at a tremendous pace and is expected to grow at a CAGR of 20.3% between 2019 and 2025. This growth can be majorly attributed to how RPA streamlines and enhances legacy processes and results in high returns on investment (ROI). RPA will emerge as a complementary technology: The key benefit of RPA is that it plays well with other existing technologies. RPA has the potential to adapt quickly to changing circumstances and learn accordingly, hence it enhances processes rather than replacing them. Since it's not always feasible to redesign workflows from the ground up, automating inefficient processes with RPA can greatly improve productivity.

Gartner released its 2020 technology trends last month with great – and appropriate – fanfare. Before I comment, we should all note just how volatile the technology world has become. So let me say at the outset that I appreciate Gartner's galvanizing a ton of trends into coherence. The robotic process automation (RPA) revolution is already in full swing. It's hard to find a company not looking at processes it can automate, and it's harder to find a company not keenly aware of technological leverage in the RPA mission.

Gartner released its 2020 technology trends last month with great – and appropriate – fanfare. Before I comment, we should all note just how volatile the technology world has become. So let me say at the outset that I appreciate Gartner's galvanizing a ton of trends into coherence. The robotic process automation (RPA) revolution is already in full swing. It's hard to find a company not looking at processes it can automate, and it's harder to find a company not keenly aware of technological leverage in the RPA mission.

Over 1 million knowledge-work jobs will be replaced in 2020 by software robotics, RPA, virtual agents and chatbots, and machine-learning-based decision management. So predicts research firm Forrester in a new report published today, "Predictions 2020: Automation." It also estimates that 331,500 net jobs will be added to the US workforce next year, human-touch jobs that require intuition, empathy, and physical and mental agility. Forrester highlights what it calls "the automation paradox," predicting that after years of falling, MTTR or Mean-Time-To-Resolution (the time it takes to resolve an IT failure, for example) will increase. This is the result of automating the "low-hanging fruit," the repetitive tasks and incidents, leaving the more complex and time-consuming problems for humans to fix.

During the Gartner IT Symposium or Xpo, analysts in the technology sphere presented their findings. Now Gartner is highlighting the top strategic IT trends that companies will need to sample out in 2020. Gartner gives a definition of what a "strategic technology trend" is by saying that it's one that has substantial potential to disrupt the existing technologies and is now moving away from being called an emerging technology into joining the pool of the technologies that are said to have a broader impact as well as use. It's a technology that is rapidly growing and expected to reach its tipping points within the next few years owing to its high degree of volatility. As a blockchain development team, you need to be aware of these technologies and how they will impact the app development processes.