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

Artificial intelligence is finding new ways of computing. Quantum computing is taking its roots. One of its technique is to use quantum neurons to copy the system of the brain at extremely low temperatures to undertake computing tasks. In the method of computing with wires, the circuits are being packed into more smaller units for computing. Solutions of chemicals are being made to compute at nano-tech level. Silicon chip boards are the traditional method of computing, but they have the problem of heating of chip packages and circuit boards. Read more at: https://spectrum.ieee.org/nanoclast/computing/hardware/4-strange-new-ways-to-make-a-computer

Artificial Intelligence or AI is becoming important every day. But, the question is whether AI can improve collaboration or not. This technology is changing very quickly and it is becoming difficult to define. Not only does this pose real-world challenges around defining its impact and business value, but also in trying to control the benefit of AI. So, here are some ways to assess AI for being a good fit to your collaboration needs. They are: 1. Must address a specific problem, 2. Must be adaptable and personal and 3. Make automation easy. Read more at: http://it.toolbox.com/blogs/voip-news/three-ways-ai-can-improve-collaboration-79097

Recent technology advances have enabled Artificial Intelligence (AI) to work independent of any network connections, fitting it in compact devices. Deep-learning AI processes data like a human brain, using elements like memory. Such AI is adaptive to the conditions in which it is put, thus enhancing continuously. They come with their own virtual assistant voice, which makes them much more cost efficient. Results from the evolving deep-learning AI has left the users amazed by the results they get. Deep-learning AI seems to have no end to its evolutionary capacity. Read more at: https://www.sciencedaily.com/releases/2017/11/171114091305.htm

Nowadays, Artificial Intelligence can track sales and every word can be analyzed for personal insights that can reveal what and how and even when to sell you something. It is capable of analyzing the entire context of every phone conversation which helps organizations to identify customer intent and behavior. By analyzing these results, marketers can determine exactly how to approach each caller, knowing in advance what they are looking for. Read more at: http://it.toolbox.com/blogs/insidecrm/ai-listening-to-your-calls-78447

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, both Artificial Intelligence and Pattern-Recognition algorithms, which metamorphoses horses into zebras and winter scenes into summer, have revolutionised healthcare, where robot radiologists, can visually diagnose and examine  X-rays ,stained breast cancer slides and medical signs involving correlations between normal and abnormal health patterns,  in detail and with remarkable precision, thereby empowering the doctors to conduct a detailed research and to better  patient’s welfare. The core activity of AI is to make the machines intelligent and using this intellect, an entity can function smoothly, efficiently and  with perfect foresight in its environment, thus allowing an organisation to flourish and expand its operations. Read more at https://aitrends.com/healthcare/supercharge-healthcare-ai/

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

After the revolution of fin tech in India, the payment sector has seen that Indians are opting for online transactions and transfers. But it is important to keep in mind the security aspect of digital transactions. With increasing use of technology, the market of risk management is growing fast. AI is playing a huge role in financial risk management because of its ability to deal with lots of data with high accuracy.Read more at:https://www.entrepreneur.com/article/294816

Technical revolution is always an unbiased phenomenon but the human makes that positive or negative. After the mechanical revolution of the 19th century, AI is considered the next revolutionary phenomenon in human civilisation which will make a significant impact on technology and global socio-economic condition. AI’s decision making capability is still not highly advanced so AI can’t replace humans now. AI will kill some jobs and create some exciting jobs also. Technical innovation creates new opportunities and friends also. Read more at:https://www.entrepreneur.com/article/288956

The aerospace companies are now studying ways to make safer the current autopilot technology. In near future, the crew will be removed from the plane. According to Boeing Vice President Mike Sinnett, the most important tool for making autopilot safer is Artificial Intelligence. The autopilots should potentially reprogram themselves according to situations which are not possible without AI and Machine learning.Read more at:https://www.entrepreneur.com/article/295609

Retail stores has thousands of choices for fashion and the salesperson may influence you in your decision but with the help of AI and Machine learning your experience is going to more simpler and engaging.AI monitors the browsing patterns of any customer and give product recommendation according to that.AI powered chatbots can work more smarter and intuitively than humans. Machine learning in AI is improving product search capabilities on e-commerce sites.With the tremendous potential of AI, it can revolutionize the retail and e-commerce sector.Read more at: https://www.entrepreneur.com/article/296657

Chatbots are new in the industry and you can make a lot of money from it whether you are an entrepreneur or a company. Chatbots can understand and utilize user psychology to your advantage. Bots can give service in the B2B business. In platforms like Facebook, you can advertise your product or service through bots. You can also generate leads for your business. Read more at:https://www.entrepreneur.com/article/289973

The Internet is changing style. Now physical stores are closing as fast as product review system on e-commerce sites are improving and growing. The shipping industry is growing steadily in the background because of all this. Tracking technology is gaining importance becasuse of AI. We now able to find out optimal route and load for any tour with the help of AI and there are various AI-powered robots working in the shipping industry, they are saving both money and time.Read more at:https://www.entrepreneur.com/article/292465

Artificial Intelligence startups are reaching a new record high with gaining good deals and investments from tech giants. There are four ways you can apply AI to your business. 1.Analysing various raw data you are able to find a cluster of similar minded people and get to know your next customer. 2.You will able to see how people genuinely using your product. 3.You will be able to get inside the user’s head using the user’s data pattern. 4.Making a digital assistant you will be able to provide affordable and always-on support.Read more at:https://www.entrepreneur.com/article/292286

Use of digital assistants or chatbots helps to provide more personalized customer experience. It also can benefit business’s internal and external matters significantly. Implementing AI in Chatbot can improve workflow and help in communication among team members. It can handle logistics and supply chain. It can also help in enhancing decision making and regular important processes across their organizations. Read more at: https://www.entrepreneur.com/article/295157

AI collected tremendous investments with Indian start-ups this year and big tech companies are flowing money on it. Tech giants are searching for new opportunities in AI to improve or revolutionise their regular operations.  This year tech industry has seen a significant AI investments in start-ups and companies. Some of them are Niki.ai, Absentia Virtual Reality Private Limited, QorQL, Innefu Labs etc. Start-ups mainly use their funds to improve its AI platform for predictive analytics and biometric authentication. Read more at: https://www.entrepreneur.com/article/295272

According to authors,Machine-Learning, a subset of Artificial Intelligence (AI), is applied by firms in evaluating  financial decisions like assessing credit worthiness and eligibility criteria for an insurance policy, fraud prevention, by tracking fraud indicative transactions, thereby reducing the fraud rate, risk management, tasks of compliance, natural language processing, where this system can shift through thousands of commercial- loan contracts in seconds  and trading, where it is used both to crunch market data and to select and trade portfolios of securities. In the quantitative front, machine-learning algorithm , helped in making investment decisions, by picking up acquisitions before announcement, managing the client money and moving beyond the boundaries of conventional trading strategy. Read more at http://www.economist.com/news/finance-and-economics/21722685-fields-trading-credit-assessment-fraud-prevention-machine-learning?zid=291&ah=906e69ad01d2ee51960100b7fa502595

According  to the authors, artificial intelligence is applied when a machine mimics “cognitive” functions that humans associate with other human minds such as “learning” and “problem solving”.  So  Han Wang, Jing  Guo  and Colleagues reported in American Chemical Society(ACS) NANO , that  they were successful in developing an artificial lab-made synapse, which was flexible and diverse and  has the capacity of simulating a primal function of our nervous system, i.e., the release of both excitatory and inhibitory signals from the same pre-synaptic  terminal. . This amassed huge demand and popularity  in artificial neural networks and it simplified the design and role of nervous simulations. Read more at https://www.sciencedaily.com/releases/2017/06/170628095814.htm