Introduction Essay


AI is an essential imitation of human intelligence process, as it collects and analyse the various data and predict the solution which is necessary and appropriate. As business ecosystem has numerous data it will be suitable to adapt to an Ai ecosystem. Artificial Intelligence is Hardware and software systems combined to simulate human intelligence, with this understanding of Artificial Intelligence we can define general Artificial Intelligence as the behavior of machine that extends the human actions.

Now, if we want to process some specific sector of human intelligence like the ability to differentiate images and shapes and like playing chess, we need the help of Artificial Narrow Intelligence.

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That is be excellence on a particular skill or sector it’s focus and skill sets are fine tuned by Artificial Intelligence. Applying this intelligence will help the business ecosystem to have a focus on particular thing which will in-turn enhance the process of the business. Machine Learning an another type of intelligence which provides systems and computers the ability to learn without being expicitely programmed.

It will process data and learns from it in order to able to make a determination or prediction. One more emerging and trending type is Deep learning, which is used to help to go through new industrial challenges such as computer vision for driverless vehicles, speech recognition and voice inferences etc. The best example for this practice is Google which uses deep learning in its voice recognition algorithms.

Artificial Intelligence is something we can’t leave it as an option as it is being propelled out of labs into our daily lives. There are three major Big trends which are shaping the AI Ecosystem in this developing atmosphere of Artificial Intelligence they are exponential industry growth, increased accessibility to AI technology, and adoption of AI as a way of today’s business.

Exponential Growth in Industries

Rather than previous years the number of companies in the AI Ecosystem has doubled these days. According to a survey a by Quid CEO & Founder Bob Goodson- Artificial Intelligence is having an 250% increase from the past years. Image and Facial Recognition , FinTech, Neural Network Tools and Self Driving cars are the areas that have received the most overall global investments in recent days. Even if we neglect the extremely large single company investments, the top four areas for AI Investment are Neural Network Tools , FinTech , Cyber Security and Industrial Automation (Robotics). Even the government is encouraging the budding entreprenuers and startups to implement Artificial Intelligence Ecosystem in their emerging business.

Accessibility of AI Technology

In the past days companies only applied AI to valuable problems as because it was an expensive tool to use and even to perform it requires a team of PhD or Data scientists to produce solution. But these days just an app developer with access to cloud-based AI services-tech giants like Google, Microsoft, IBM is sufficient to implement AI systems in a Business environment.

Though many companies have accessibility to AI technology and had adopted to these technologies the two notable recent addition to AI Ecosystem from the past year were Alexa and Watson technologies from Amazon and IBM. Nearly 155 companies were in link with Alexa and 50 companies were in link with Watson.

AI Integration

World wide AI Technologies are being adopted in various spectrum of industries from healthcare, real estate, marketing, and even in agriculture. Ai is becoming an integral part of doing business , so in future we won’t think about building a product or solving a problem without using many of the AI Technologies. Fundamental shifts in the way companies are approaching AI has become the one main reason for the rapid industry growth over the past year.

Finance Ecosystem

Financial Instutions are equipping themselves as an Artificial Intelligence supporting ecosystems , the one great example is that implementation of new robots in customer queries segment in financial institutions like banks. And some more are Credit scoring- Financial Institutions and vendors are using AI and machine learning methods to assess credit quality. These firms are able to influence data from social media streams and perform things like automated entity recognition, which is a way to feed more context into their decisions.

Many companies are replacing their client services with AI powered chatbots and virtual assistants to offer advice. This is ultimately lowering their price points for these services and making them more accessible to a larger number of people. The application of AI system will make information for making financial trading decisions cheaper, meaning that more people will be able to participate in this new ecosystem. Detection of fraudulent transactions and abnormal financial behaviours are greatly facilitated by the AI systems, companies in the private and public sector are leveraging machine learning to improve regulatory compliance, surveillance, data quality assessments, and enhance their workflows.

One of the least tech-literate sector in the finance industry is the Wealth management in the past years, they are now at risk of becoming obsolutely excellent in many areas due to increase in adoption of digital technologies that provide algorithm based portfolio management advice. Predictive models under machine learning technology helped to analyse data and draw patterns that can help potential investors to choose the right product.

AI is also used to facilitate transaction, knowingly it is used as a way to secure transactions using voice recognition through banking applications. Finance sectors are realizing the importance of AI and companies are trying influence in reality.


Marketing datas are always changing , With more than 6000+ marketing tools in the market one need the flexibility to connect any data source instantly. Thi is possible with the help of Machine Learning. Rakuten is an marketing unit which will create customers or audiences that don’t just mirror your existing customers. This AI embedded in audience creation is finding the right customer, like those who connect with your customer based on their interests and online behavior the system predicts which shoppers are likely to connect with one’s brand.

Hence Digital marketing are becoming smarter with the combination of Artificial intelligence and machine learning and with many other technologies . This technology also reveals the win purchase decision from new customer who didn’t know about the brand before and whi engage themselves in buying it again through rich Data and Artificial Intelligence. Any brand needs customers who will drive the most growth for their business through brand loyalty and repeat purchases, and this is effectually possible with the integration of Artificial Intelligence in the Marketing sector.


Cognitive computing and finding solutions define a new class of problems computable. In order to respond to the fluid nature of the questions putforth by the users this cognitive thinking will be much needed technology. which will understand their problems, cognitively compute solution and offers a synthesis not only with information sources but also with influences, conteexts, and insights. This Cognitive Computing intact is the new way of computing with the goal of more accurate models of how the human brain or mind senses, reasons and responds to stimulus.


Artificial Intelligence (AI) can possibly influence the parity of power in both the worldwide economy and in military challenge. While AI has a long history, AI has started to convey results inside the most recent decade, especially with the ongoing quick advancement in machine learning and the expanded accessibility of information and figuring power. As significant as the ongoing advancement has been, AI remains exceedingly issue explicit and setting subordinate. It has demonstrated incredibly difficult to decipher the advancement in a few fields to other people, even those that are firmly related. Eagerness in both people in general and private divisions has clouded the significance of building the powerful supporting abilities for AI—an AI biological community—that are urgent to fruitful AI appropriation. The AI biological system incorporates a gifted workforce and educated administration; the advanced ability for catching, dealing with, and misusing information; the specialized establishment of trust, security, and dependability; and the venture condition and approach structure required for AI to thrive. The legislature holds job in seeking after the harder regions of innovation that don’t convey quick rates of profitability for the private segment; building up the devices required to set up AI unwavering quality (counting trust, logic, approval, check, and security) for basic government and national security applications; and creating and fortifying the AI biological community.

Artificial Intelligence (AI) is making greater improvements in all sector it touches and the Indian Defense is no exemption. The Defense Research and Development Organization (DRDO) has a lab – Center for Artificial Intelligence and Robotics (CAIR) – that solely looks into, models and constructs AI-based answers for applications in Indian Armed Forces.


If we look back the twentieth century it was tied in with making agricultural machines greater. However this obviously couldn’t proceed always but what we truly should do is caring for plants and soil. What’s a progressive level to do this is we have to make machines more smart and more intelligent methods which deals with plants exclusively weeds splashing and diminishing or distinguishing throws considering them well as giving yield and size evaluates. Now the missing part is the capacity for machines to perceive plant wellbeing or to spot weeds among a harvest. The artificial intelligence is going to change. This machines would now be able to be prepared to perceive shapes and surfaces. The recent model is utilizing the texture of leaves, weeds or plants that requires special treatment. This AI model make huge steps forward and because of that we will be able to make new ideas of farming not just the machines but the ways in which farming is done.


Today, AI assumes a tremendous job in making customized offers for users. The new basic leadership framework (counting Virtual Personal Assistant – VPN) is likewise helpful for the specialist organizations, since they can adjust their task to the current capacities.AI knows individual inclinations and individual requests much superior to travel offices. Travel operators may find out about the market all in all, yet regardless of to what extent they’d been cooperating, they can’t know every one of the inclinations and inspirations of the voyager.. The utilization of AI isn’t probably going to drastically change the connections between the performing artists and partners of the travel industry. The basic exercises in the business are probably going to continue as before: explorers will settle on choices on the subtleties of their trek and they will touch base to the picked goal utilizing their favored methods for movement. In spite of the fact that AI-related arrangements are as yet not across the board inside the travel industry part, they are anticipated to be utilized all the more frequently later on so as to expand the nature of the items and administrations. The central issue about the present innovative blast is whether the procedure will proceed over the long haul. The further extension of man-made reasoning positively affects the eventual fate of the travel industry segment.


Artificial intelligence is a new form of intelligence, which is able to synthesis several different ideas simultaneously. Today’s technological revolution requires effectiveness, sustainability and productivity at the same time. The use of artificial intelligence – which can be utilised in numerous different fields – is expanding in every industrial sector. For the users of the online world, it is natural to share data or send back information for big companies, and because of that, enterprisers are able to analyse big data and create a profile for each of their customers.

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