The world of digital advertising in the past few years has gone through a lot of development. Suddenly, there is an increased adoption of mobile advertising as well as there is sudden surge of video ads. So, in 2018, you can expect to see a new set of inclinations that will further shape the face of this digital advertising industry in the years to come. The latest trends in digital advertising in 2018 are: Artificial Intelligence, Machine Learning, High Ad Growth Expectation on Social and Mobile Marketing, Increase in Video Ad Spending, Net Neutrality, GDPR, User Data Collection and The Rise of Programmatic TV. Read more at: https://www.business2community.com/infographics/digital-advertising-trends-2018-infographic-02029109

According to authors, modern-day marvels are the result of machine learning, which are programs that combine through millions of pieces of data and start making correlations and predictions about the world , by using machines that uses cold hard data to make decisions that are sometimes  more accurate than a human’s, thereby reducing biases. Computers don’t hold any inherent biases, as machine  knows only one approach i.e. the objective analysis and are capable of analyzing massive amounts of information, thus having  a distinct advantage over humans. Utilizing the data for machine learning, can uncover contradictory and surprising results by making data more accessible, more understandable and  enabling the organization to achieve a new level of business intelligence, thus empowering decision makers at all levels with a powerful tool. Read more at https://aitrends.com/machine-learning/machine-learning-cure-decision-bias/

Deep Learning(DL) is a subfield of Machine learning concerned with algorithms inspired by the structure and function of the brain called Artificial Neural Networks. It  interprets the raw data through multiple processing layers, where each of these layers, uses the output of the previous one as its input, thus  creating more abstract presentation, tackling conceptual problems ,like image classification and natural language processing  and helping to infer logically. Industries that leverage Machine Learning at present , can switch over to DL approaches in future as it’s an approach of AI , which is showing great promise when it comes to developing the autonomous, self-teaching systems which are revolutionising many industries. DL drives sales, increases engagement  and improves user experience, thus it  will be the future of Personalization, which enables a business organization to enjoy amass customer appreciation. Read more at  https://aitrends.com/deep-learning/deep-learning-personalizing-internet/

According to authors, target  marketing  strategy  is the key to success ,which propels new technology into action to communicate effectively and quickly with the customers. Understanding the intricacies of both changing technology and Artificial Intelligence, is crucial for achieving success, as much of this is happening through machine learning and taking advantage of robots and AI. It’s the responsibility of the Chief Marketing Officer(CMO) to transform and spot out the same, thereby, changing the company’s identity. This requires skilled manpower, who can understand and effectively combine human interaction with machine learning. According to stats, the top revenue generator in the upcoming years will be marketing. Therefore leveraging AI is crucial to amplify the potential gains. Read more at https://www.forbes.com/forbes/welcome/?toURL=https://www.forbes.com/sites/blakemorgan/2017/06/30/how-the-cmo-can-leverage-ai-internally-and-externally/&refURL=&referrer=#6974b0db367d

According to authors, AI is radically changing  the face of banking.  From daily  customer dealings ,learning from them and interacting  with them to becoming the face of their brand , AI/Robots simplifies complex tasks, by, informing  customers about their account balances, prevailing interest rates on mortgages, securities, making  transfers and payments based on voice recognition authentication, interacting in different languages thereby making transactions smooth and flexible and resolving customer grievances online. AI covers the following three techies :   1) Language processing, enabling  communication between computers and  humans, 2)Enables computers in locating similarities and comparing disparities between new and existing datasets , to sketch out patterns, via Machine Learning  and  3)Advanced software system  that provide personalized advice.   Read more at https://aitrends.com/financial-services/how-artificial-intelligence-will-revolutionize-banking/

Artificial Intelligence is development of computer systems able to perform tasks normally requiring human intelligence, such as visual perception, speech recognition, decision-making, and translation between languages. Therefore, AI can process a lot more data than human brain can, and thus can do more work accurately in less time. Along with data analysis AI can perform much more complex tasks such s determining customer preferences for products based on previous buying habits and understanding unstructured data. AI is augmenting the capabilities of human by solving such complex challenges. The importance of artificial intelligence can also be seen in healthcare industry for suggesting appropriate treatments for patients, fraud detection, financial services and retail. AI can be incorporated in business by using machine, deep and memory based learning which is AI’s core. Read more at: http://www.datasciencecentral.com/profiles/blogs/artificial-or-augmented-intelligence-talks-with-intel-s-chief

Digital twins refer to computerized companions of physical assets that can be used for various purposes. Digital twins use data from sensors installed on physical objects to represent their near real-time status, working condition or position. With digital twin, optimized machine design and smooth operation is ensured. It also helps predict precisely when maintenance will be required by a particular asset based on unique conditions. A few advantages are: 1) understands how change in manufacturing process can impact cost, 2) checks the current operating status, 3) can perform proper maintenance procedures. Digital twin with advanced analytical tools and machine learning will improve predictive analysis. Read more at: http://www.datasciencecentral.com/profiles/blogs/what-are-digital-twins

In recent times, innovation of machine learning and artificial intelligence has changed the paradigm of the tech world. Some trends prominent in the development of machine learning are: (i). Big companies are developing machine learning based artificial intelligence systems and it will continue to grow, (ii). Along with data, with the development of machine learning, algorithm economy is expected to develop more, which will distinguish small business from the large ones, (iii). Interaction between machine and humans is expected to increase. In conclusion, machine learning and artificial intelligence is expected to grow but humans can’t be completely replaced right now. Read more at: http://www.datasciencecentral.com/profiles/blogs/trends-shaping-machine-learning-in-2017

The first and foremost usefulness of artificial intelligence lies in the fact that it helps companies to predict the outcome of a conference call which is profitable for the company. AI is mainly based on machine learning and it helps in solving problems using past experience, known variables and outcomes, thus replacing the jobs that were previously performed by humans. But in case of company outlook this cannot be used as there are no past experiences to depend on, also risks and opportunities maybe overlooked. AI can also be useful when there is ‘bionic fusion’ which is facilitated by meta-vision. Meta-Vision helps in navigating market forces and assessing the competition to monitoring public relations media engineering. Thus, it can be seen that with the help of AI and meta-vision, predictions can be made about quarterly earnings calls, earned media, etc. Read more at: http://www.datasciencecentral.com/profiles/blogs/artificial-intelligence-in-enterprise-meta-vision-improves

A chatbot or talkbot is a computer program which conducts a conversation via auditory or textual methods. The service could be ranging from functional to fun, and it could live in any chat products like Facebook Messenger,Text Messages, etc. There are two types of chatbots,

1.Chatbot that functions based on rules and  2. Chatbot that functions using machine learning or AI.  Chatbots  are  gaining popularity  as people are using messenger apps more than they are using social networks. To know more about chatbots, read: https://chatbotsmagazine.com/the-complete-beginner-s-guide-to-chatbots-8280b7b906ca