How AI Carries an Impact On Your Business, Across Domains?
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How AI Carries an Impact On Your Business, Across Domains?

Sudeep Srivastav
By Sudeep Srivastav| Monday, December 31, 2018 13:03 PM |10 min read
Artificial Intelligence In Business

Artificial Intelligence can Revolutionize Your Business.

The AI impact on business can help you streamline your processes across all domains in a way that every outcome is real-time and efficient.

While the world is filled with the instances of how Artificial Intelligence can transform even the most traditional of the areas like Education or Real Estate, the general impression that has gotten created is that AI is for the industries and businesses that work in multi-million revenue cycle and a team size of hundreds of employees divided into fifties of  different domains.

But, what we aim to achieve here today is that AI is not just a rich man’s dream of expansion, it is something that businesses of all sizes can employ in their process and make themselves more efficient and over time bring themselves in the league of the leaders – reason why you should start your search for AI development companies.

In this article, we will look at what AI impact on business is, how AI can fit into every single domain of your business and make it better.

Let’s begin and help you understand what makes AI the need of the hour for making businesses become efficient and intelligent throughout.

Impact of Artificial Intelligence of Human Resources and Recruitment

Talent Acquisition

The impact of AI on business is most visible in the field of talent acquisition as compared to any other  Artificial Intelligence is being used in a number of areas falling in the Talent Acquisition superset like – sourcing the candidates, screening their resumes, employing chatbots to engage with the candidates and then using face recognition AI-powered software to recognize the emotion that the candidate is showing.

Employee Engagement

With the advent of NLP, chatbot technology, and sentiment analysis, it is now a lot easier for companies to analyze and get real-time feedback from their employees in terms of taking the right action.

When we talk about employee engagement, one of the biggest concerns that employees tend to show on this front is in terms of them meeting their reporting managers once a year to discuss how the work is going and discuss their performance. An AI-based solution to this is offered by software like Peakon, which enables all employees to reach their fullest potential.

HR Management

There are a number of AI products in the market today to help the HRs with the management of administrative tasks. Personnel team around the globe are now using Chatbots to answer employee queries and using Big Data to develop employee schedules, which in turn are helping businesses with prediction and meeting of demand via fair and effective staff rotas.

Career Management

When talking of usage of AI for learning and development for bettering career, there are a number of applications that come up – career pathing, personalized training recommendation, coaching delivered by the chatbots etc.
An example of AI for bettering learning and development can be seen through Gweek. The platform helps improve the presentation and communication skill of the users. There is another site called Sidekick that enables confidential coaching for the employees through the medium of messaging platforms.

Performance Management

Because the AI-driven assessments happen instantaneously, in real time (with algorithms monitoring the quotas, targets, and how they are varying on a day to day basis for every employee), it becomes a lot easier to note all the good and the poor performances’ instances, ultimately helping in the correct measure of performance and giving answer to how will AI benefit business internally.
The real-time access and monitoring also help in flagging the shortcomings on a per day basis, enabling businesses to take action before a problem worsens.

Impact of AI on Marketing and Sales

Customer Support

The most common answer to how is artificial intelligence used in a business environment lies in Chatbots. Deep Learning powered AI-powered Chatbots allows businesses to access the layers of data from the neural networks such as customer data and information, which have been built up over time.
When filled with real-time access to the preferences that customers come with and their purchase history, chatbots prove to be a worthy alternate to several customer representatives.

Content Creation

AI is the answer for every content writer who is bored of curating similar layout based content across platforms. There are software like Wordsmith, which are known to transform a series of structured data in the written doc, with great success.
While at present the use case of AI in content creation is limited to articles having a rigorous format, there are advancements being made to expand the application.

Heightened User Experience

The answer to why is artificial intelligence good for business lies in this one statement – Your customers and consumers are a lot more demanding than they were ever before. They need everything from products, information, to services at a real-time and lightning speed mode and in one place. With AI, you get to offer all the services in one place in an instantaneous mode, which ultimately helps in elevating your users’ experiences.

Another thing that AI makes possible is Personalization. By incorporating artificial intelligence into mobile app development, businesses get a chance to study the customers’ preferences. AI technology makes it possible for the marketers is to send personalized content in the time and platform that suits their customers, which is after all the secret to the efficient user experience. 

Emotion Recognition

The capability to identify human emotions is known to be the biggest challenge for an AI – a question that is solved by the answer of how is AI helping businesses. An AI-powered Chatbot when backed by the NLP facility can gauge when someone is getting frustrated and can adjust its offering and tone automatically – by either giving them a discount or forwarding the call to a human consultant.

Sales Forecasting

Prediction is a forte of Artificial Intelligence. By analyzing the past sales performance and trends, it can help predict what would the sales figure be this time around or what deals would work and which won’t. Ultimately, an inclusion of predictive AI in app development made around the sales domain will help the sales professionals plan their tactics between upselling and downselling based on qualified data coming in from their past trend.

Optimization of Lead Generation

Rather than someone from your sales team going through the potential clients’ on Google, or social media, you can incorporate Artificial Intelligence to review them for you.

In addition to reviewing the prospects, you can use AI for two more crucial sales tasks: A. To identify the right job title and brands to target and B. To analyze sentiments made on competitor’s sentiments made on email or social media. It means that AI powered intelligent mobile apps can help identify unhappy set of clients while giving you insights into whether the client is unhappy from the service they are getting from the competitor or are seeking something new from the market.

When you get a database of prospects who are unhappy with the service they are being offered by someone else, the probability of your closing the deal by offering them what they need, increases by manifold.

Impact of Artificial Intelligence on Finance

Accounts Payable

There are a number of AI-based invoice management system that makes invoice processing a lot more streamlined because of the digital workflows which are implemented. To achieve this, the machine learning algorithms are designed in a way to learn accounting codes which are appropriate for invoice creation and management.

Supplier Onboarding

Through the combined power of Artificial Intelligence and Machine Learning, AI development companies can help businesses shortlist suppliers on the basis of their tax information and credit scores and set them in systems without any human intervention.

Procurement

The purchase and procurement process of organizations are generally filled with a lot of paperwork and make use of different files and systems which more often than not are not compatible with each other. By taking the help of the combination of APIs and AI to integrate and process the unstructured data through AI-powered mobile apps, the procurement process will become a lot more paperless and would call for less human intervention.

Audits

The digitalization of audit process helps in increasing the security by allowing a digital trail of when the file was accessed and by whom.
Using Artificial Intelligence, auditors will get real-time access of the digital files, thus removing the need to search the files cabinet for documentation – something which not just lowers the time gap in getting access to the information but also makes the whole process a lot more efficient. To make your audit process intelligent, you should get in touch with an AI app development company that specializes in the whole powered Audit processes.

Expense Management

Review and approval of expenses in a way that it is ensured that they are compliant with the organization’s policies is a time-consuming task for any accounting team. But, through AI, people can employ machines to read the receipts, audit the expense, and then alert the finance team in case there’s any discrepancy.

Impact of AI in Operations Management

Log Analysis

Analysis of log is the biggest use case of AI powered Operations. Every layer of the stack – operating system, server, hardware, and applications – leaves traces of data stream which can be gathered, stored, processes, and then analyzed by the Machine Learning algorithms. The data then is used for performing root cause analysis of events.

By incorporating the power of AI in Log Analysis systems, businesses can find lacks in the system even before a failure happens, marking a use case of AI benefits for business.

Capacity Planning

IT Architects spend a lot of time in planning the resource needs of the applications. It can be very challenging for them to define server complications for the development of a multi-tier, complex application. Every physical layer of application should be matched with CPU cores, amount of storage capacity, ROM, and the network bandwidth.

Artificial Intelligence comes in handy here by helping architects define right specification of the hardware or for selecting the right instance type in public cloud. These algorithms tend to study the present deployment and performances for recommending an optimal configuration for every workload.

Infrastructure Scaling

Auto Scaling can be configured to be reactive and proactive. Under the reactive mode, monitoring infrastructure will be able to track the key metrics like memory usage and CPU utilization for initiating scale-out operation. And when load returns to normalcy, scale-in operation take place bringing the infrastructure back to its original form.
In the proactive mode, admins schedule scale out the operation before an event.

One of the AI benefits for business lies in the fact that through Artificial Intelligence, IT administrators can configure the predictive scaling which learn from previous usage pattern and load conditions. This way, system becomes intelligent to decide when it should scale with no mentioned rules. This new mechanism complements capacity planning through adjustment of runtime infrastructure needs.

Cost Management

Assessment of infrastructure cost plays an important role in the IT architecture. And when you work with a public cloud mechanism, the forecast and cost analysis becomes a lot more difficult and cloud providers tend to charge for a number of components like – VMs usage, storage capacity, external and internal bandwidth, API calls made through apps and IOPS.

Through the analysis of workload and the usage patterns, Artificial Intelligence can estimate the cost of infrastructure by offering cost breakup around a number of applications, component, subscription amounts, and departments – something which would help the operation unit in securing the IT budgets accurately.

Performance Tuning

Once the application gets deployed in the production, a good amount of time is then spent in tuning the performance, specifically in case of the database engines which deal with a good amount of transactions as they experience the most reduction in performance over time.

By analyzing logs and time utilized in attending to tasks like processing of a query or responding to request, Artificial Intelligence algorithms developed by AI software development companies, can offer an exact fix to the issues. It comes very handy in augmenting log management through taking respective action in place of escalating issue to the operations team, which have a direct impact on the cost of support and on running the enterprise IT help desks.

So here were the four domains which are considered to be the pillars of any business. The domains that the AI service companies believe can have a massive impact on and can make more efficient. If you too wish to reap the benefits of AI by making your processes efficient, streamlined, and high revenue generating, contact our team of AI Developers today.

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Sudeep Srivastav
About The Author

Sudeep Srivastav, the CEO of Appinventiv, is someone who has established himself as the perfect blend of optimism and calculated risks, a trait that has embossed itself in every work process of Appinventiv. Having built a brand that is known to tap the unexplored ideas in the mobile industry, he spends his time exploring ways to take Appinventiv to the point where technology blends with lives.

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