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Top 5 Trends of Artificial Intelligence in Business for 2018

Technological disruption is not a myth but, a real-time facing term. Every innovation has gone through saturation, leading to the emergence of new advancements. These advancements overdraw the previous ones with much-improved technologies. Anyhow, these upgraded technologies are proving itself as a blessing in disguise to the various sectors. One of such emerging technologies—artificial intelligence, acquires a potential to single-handedly restructure the age of digitalization. This AI is also been recognized under the top 5 technology trends to drive business successfully in 2018.
Artificial Intelligence is at the verge to revolutionize the businesses already, besides various enterprises have taken initiative to adapt this technology as a part of their systems. Gone are the days, when self-oriented systems were taken as a threat for the society. But now world is slowly learning to accept the changes which might be beneficial for any industry. 2018 might be the year where people will be able to witness major business-oriented technology breakthroughs. Till then, enterprises are following up with some artificial intelligence trends which near-by ease up the business processes. Here, we present you some trends in artificial intelligence which are being adopted by many enterprises for better functioning.
Peer-to-Peer Networking
This type networking is widely used by enterprises all over the world. Peer-to-Peer or P2P—allows enterprises to control and distribute data from one single system to its peer. Integrating artificial intelligence in P2P is believed to be the greatest implementation of AI till date. If an enterprise uses AI as a system then, it will resolve daily faced issues while processing businesses.  Whereas, many well-known enterprises are utilizing statistical modelling to help system to take informed decisions on what content should be shown to an individual. In order to run such models a large amount of data is required, thus a versatile system is to be needed.
Currently, many enterprises are in a race to develop a transparent search engine using AI technology. They believe that harnessing peer-to-peer network along with AI could provide pellucidity which will counter the big search-engine industries.
Implementing AI for CRM
2018 will be the breakthrough year for Customer Relation Management. Various enterprises are already prepared for implementing AI into their CRM systems. Setting a bar for others has become much harder due to constant increasing competition. Unsatisfied consumers are shifting to other platforms and channels for better availability of services creating a major issue for various enterprises.
To augment and optimize business operations, AI uses highly self-sufficient algorithms which will segment audience on various attributes. Mainly these attributes includes gender, location, web behaviour, purchase history and more others. AI-oriented CRM system will recognize the historical pattern generated by previous decision taken by the customers and analyse it for qualifying the leads. Insights gathered from this process will assist enterprises to convert leads into customers. AI will prioritize the best leads and merely focus on them.
Intelligent Recruitment
Recruitment processes are evolving their methods to gain more subsequent candidates for the enterprises. With the help of AI based data analytics, enterprises can easily formulate the pattern to narrow down the steps for recruiting the candidates where, Machine Learning plays a crucial role in this process. Real-time insights gained through ML will assist in screening the best candidates with others with respect to predetermined criteria. Most important it will also liberate the time required for processing the recruitment and assist the recruiters in a much better way.
Internet of Things at Verge to Reshape Enterprise Security
IoT have been in a limelight for past few years. Many pioneers believe that IoT has the potential to reshape the technological aspects. It is also considered to be the best implication of cloud computing till date. Various enterprises have already started to implicate IoT in their business processes. Along with AI, internet of things can be utilized for a varied range of B2B applications. Security is given prior importance than any other process in the business. In today’s date, cyberattacks has been evolved and are more harmful and resolving them has become necessity rather than just an option. In order to surpass such cyber threats, a need of strong and intelligent anti-malware software is imminent. The machine intelligence has already gone far as it was ever imagined. An intelligent malware or ransomware are capable enough to adapt as they spreads and the use of ML for coordinating global cyberattacks is the perfect way to destroy a fully-acquired system. To overdraw such advanced cyberattacks, an organization has to come up with more intelligent system for firewall protection, as they can’t bring a knife in a gunfight. Some of the samples include distributed denial of service (DDOS) pattern recognition, risk-oriented authentication and prioritization of log alerts for escalation and investigation.
Influencing Marketing through AI
Good marketing makes the company looks smart; Great marketing makes consumer feel smart.
Marketing is essential to increase number of sales in every business. An innovative product does resemble the qualitative approach of the company but, a good marketing express the potential of that product. Since fast few years, the structure of marketing is changing their traditional ways of approaching audiences. With the help of AI, the enterprises can improvise the methods to retarget leads on e-commerce sites. By using machine learning, AI studies the habit and behavioural pattern of customers and also, their preferences for retargeting ads back to them. AI will make an analysis on these factors and will provide ads related to the consumer’s pervious searches even on other websites. Currently, this method is helping various e-commerce enterprises in generating more leads.
On other hand, numerous enterprises are using chatbots for providing a better customer service much faster. Chatbots also known as conversational agents— are the software applications which use human spoken speeches to interact with real-person. It is categorized in two web-based applications and stand-alone applications, while most of the enterprises are using web-based applications as Tier-1 support operatives and customer satisfaction reps.
Apart from above trends, there are various possible opportunities made available by AI to the corporate world but, being in pre-developing stage are yet to be implemented. Hopefully, the artificial intelligence might soon take-over the traditional system into providing a self-sufficient system in an enterprise.
– Bhushan Ghate

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