News: How Latest AI Trends will Improve Our Productivity in Business in 2019

432 Days Ago

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Evolution of Artificial Intelligence has lead to rapid developments in the concept of machine learning and thereby, allows us to come up with improved and smart machines. In this way, as company and business owners/managers we take sound decisions and deal with more number of tasks with the aim to improve productivity drastically. For the growth of business and to achieve high user engagement, the majorities of companies are looking for Mobile app Development Company who provides the mobile app with the deployment of AI to automate their tasks, retain users, reduce the workload of human and drive more engagement.

Latest AI (Artificial Intelligence) Trend to watch out in 2019

Until now, experts of top companies have found many futuristic scenarios related to Artificial Intelligence. Particularly, there are two prime factors related to AI development, which include-

3D Vision

Whether it is simple task or a complicated one, performance of any robot depends solely on 3D vision for input of data in the AI technology. For instance, grasping any object without any pre-determined motion and location would be impossible without the application of machine vision able to reconstruct a 3D image, while AI to translate the respective visual information into any successful action for the robot.

Cloud Robotics

Robotics’ deep learning uses image classification and its speech recognition relies primarily on big datasets with tons of live examples. AI requires data to reside realistically on a majority of local systems. In this manner, advancements in cloud robotics are of highly essential to achieve AI advancements and innovative robotics technologies.

Mobile AI will transform business


Whether it is related to boost the business related procedures or bringing improvement in efficiency and accuracy by putting updated data in workers hand, enterprise mobility via Artificial Intelligence have allowed workers to become relatively more productive, as highlighted by the 451 Research Vice President named Kevin Burden. As AI’s adaptability has allowed businesses to satisfy the needs of customers while creation of personalized experience; the mobile app development companies are finding the best ways to utilizes Artificial Intelligence for nextgen mobile apps.

Mainstream auto manufacturers will launch self-driving cars

Tesla was the first ever-automobile manufacturing company to its self-driving vehicle. Hence, with the objective to maintain pace with Tesla Group, a large number of other automobile manufacturers, including Audi Group have poised to launch their self-driving cars in the year 2018. According to experts, the latest Audi model i.e. Audi A8 will come with self-driving technology and will be able to shuttle humans safely without input from drivers. Along with this, two other automobile giants named Volvo and Cadillac are developing their advanced self-driving technology. Hence, their latest self-driving types of vehicles will become visible increasingly in the year 2018.

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Content will be created using AI

If you have a look at the scenario early, you will find that a large number of publishers often spend many hours to create valuable, interactive and relevant contents for social media platforms and for their own websites. However, the scenario has changed today completely, thanks to the evolution of innovative tools, like for instance Wibbitz tools, which help publishers to write/create compelling minutes even within only a few minutes period.

Along with this, Associated Press is utilizing another innovative tool i.e. Wordsmith powered by Automated Insights. This helps in applying natural language generation to prepare various news stories in accordance with the data related to earnings. Other than this, a large number of brands, like Hearst, CBS and USA Today have recently started with the utilization of AI technology to generate their contents. Considering this fact, readers have predicted that during the coming months of 2018, there will be more number of media companies to adopt technologies related to video generation and natural language technologies.

Peer-to-peer networks will create transparency


Image Source: Google

Machine learning refers to a specific form of artificial intelligence and a large number of companies, including Facebook have already started with using statistical modeling to allow machines in taking informed decisions about the display of next content. However, models may work properly only when they get data in adequate amounts and with enough computational power. Positively, with the launch of various peer-to-peer networks, as similar to the ones used by crypto currencies, a large number of companies and small business organizations have obtained enough ability to operate innovative AI programs with the collective power of fully networked and personalized computers.

Presearch is a company aims to use artificial intelligence and peer-to-peer networking to achieve transparency in the sector of search engines. Google, the search engine giant is responsible to control about 80percent of the entire search market, but only few people have fully understood the way, in which Google determines any content to display to a specific consumer.
For this, Presearch Group makes plans to utilize cryptocurrencies in incentivizing its participants to lend enough computational power possessed by personal computers. On the other side, company makes promises to create a transparent type of search engine platform. In an essence, we should say that a large number of startup groups would opt to use peer-to-peer and AI networks to deal with the challenges often dealt from large organizations. For this, they have already raised a huge amount equal to 5million dollars as funds.

Demand for data scientists will surpass demand for engineers

Since companies of each size strive very hard to accumulate valuable pieces of information and analyze data in an effective way, modern industries will witness an inevitable requirement for various talented data scientists, who come with enough ability to deal with big data sets to help AI platforms. Another reason behind this is that machine-learning type of Artificial Intelligence system utilizes probability to find out the right decision or appropriate solution of any given problem. With the availability of valuable data, machine-learning platforms will get opportunity to come up with improved predictions.

AI will fight challenging diseases


Image Source: TechGen

Latest technological trends in the form of Artificial Intelligence and blockchain have lead to the launch of innovative Nano Vision technology. Accordingly, users participate in a program by using a special type of Nano cryptocurrency. On the other side, machine-learning technology analyzes and identifies illnesses to activate any new drug, cure and treatment within less possible span of time and at the most affordable cost as possible.

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Enterprises will Operationalize AI

Business organizations and enterprises have spent their past few years to educate them on varieties of tools and frameworks available under Artificial Intelligence. However, as AI is moving ahead to mainstream, it will go beyond any small-scale of experiments to become fully operationalized and automated. In this way, enterprises will go ahead to operationalize AI and thereby, search for tools and products to streamline, automate and manage the life cycle consisting of complete machine learning and deep learning both.

Cloud adoption will accelerate to support AI innovation

According to principal data scientist of Quobole named Horia Margarit, enterprises in the coming 2019 will take steps to bring improvement in the existing infrastructure and procedures to provide support to their efforts related to Artificial Intelligence and machine learning.


To conclude, we should say that possibilities with Artificial Intelligence are innumerable. Because of this, it will give us tons of facilities and benefits even beyond our imaginations.

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