Artificial Intelligence once an aspiration is now a reality and very much a part of our daily life with a potential to penetrate further into our daily tasks. The popular AI tools have also paved way for significant improvement in many areas of business and marketing.

Virtual Personal Assistant

Probably one of the most widely used applications of AI in businesses is for the performance of daily tasks like schedule meetings, follow and update calendar, manage appointments, schedule travel plans and much more. These are the virtual assistant tools.

As of 2017, the capabilities of virtual assistants are expanding rapidly. An online poll reports that the most widely used tools were Siri(Apple)-34%, Alexa(Amazon)-6%, Cortana(Microsoft)-4%.

The best virtual assistant AI tools that may help small and medium businesses a great deal are:

Gluru – Keeps a track of your calendar, gives notification of meetings, deadlines, and appointments. IT automatically brings up emails and other information needed for those events.

X.ai –This tool is specifically to schedule meetings by type or time. Users simply have to provide their status as available or busy, the tool will schedule accordingly.

Siri- Siri has multiple features to make your day the most productive right from making phone calls, sending out emails and much more. Its voice recognition feature gives instant answers and helps manipulate apps on your phone.

Data Integration and AI

The key challenge in data integration is that the data sources being integrated have been designed independently while their contents are related subtly.  That is why the AI functions are integrated into the data to simplify deployment of applications.

Microsoft’s SQL Server 7 has inbuilt AI with Python support that developers can implement directly in the database.

Tamr is another AI tool that can save over 20% of the manual effort. Through data analysis, it provides advice on how a business can maximize profit and reduce risks. New data sources can be added to it as it employs a reusable data infrastructure.

Customer Service

Many forward-looking businesses have augmented their customer service with AI. They are implemented in either of the two ways-through front-end bots or AI assisted human agent. This has resulted in promising efficiency gains for many businesses. As per a study at Oracle, nearly 8 out of 10 businesses have already implemented or planning to adopt AI for their customer service solution by 2020

DigitalGenius –This tool enhances customer service operation by initiating computer driven conversations with the customers. It even scans through customer service logs for the day to elicit the appropriate response.

With the availability of relatively cheap and flexible computing power, machine learning has become easily accessible. A number of tech companies are now offering API’s that allow businesses to create their own intelligent services.

Some of the AI user-cases in enterprises are:

Ocado uses a combination of Google’s open source machine learning tools and cloud API’s focuses on automatic management of customer service emails.

Tesco with the help of API’s is using Google’s home assistant device to create recipes for online shoppers, personalize their shopping and get price alerts.

EDF Energy is using AI to make their nuclear power stations more effective and lower energy consumption. They are looking to use AI for real-time condition monitoring.

Bloomberg is using techniques like natural language processing and computer vision at their terminals to hold the user’s interest.

Voice commands make it easier for them to post their queries rather than typing in special commands.

IBM’s Watson Explorer AI is expected to replace the 34-strong workforce of Fukoku Mutual Life Insurance firm. This system will be able to analyze patients’ data, hospital stays, treatments, medical records and calculate the relevant payout.

Uber, one of the lead car hailing service providers uses machine learning to track customer travel habits, to improve maps using computer vision and communicate to customers at every step.

As machine-learning, task automation and robotics are picking up at a great pace, businesses should strive to leverage the technology and build a sound technical foundation for an AI future.

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