Artificial intelligence is changing the world as we know it and its applications are bringing in a positive transformation. However, understanding the uses of AI can be complicated for us common folk. The only way to decode this complexity is by demonstrating with examples.
From basic email segregation to personalized content on a retail platform, AI is present everywhere.
Email – Spam filters and smart replies
Email is the most popular form of communication at workplaces. And we can all agree that without a clutter-free mailbox, things can get chaotic. Google has integrated AI to its email service to offer a more efficient platform. Using artificial intelligence, Google’s Gmail can filter emails according to their categories.
- Primary
- Social
- Promotions
- Updates
- Spam.
Google has also taken the use of AI a notch above by creating a spam filter. The spam filter learns from unique consumer data sets (keywords and metadata) in a mail to help categorize it as spam. Users preferences are also taken into consideration in classifying spam mails. With the help of Machine Learning and Artificial Intelligence algorithms, a spam filter can weed out 99.9% of the spam email.
Many mail services have also implemented smart replies. Users are provided with a one click reply, which has tailored content based on the context. ML algorithms analyse several interactions and based on specific keywords; the system can craft relevant phrases and one liners.
Retail – exit pop-ups
Cart abandonment is a $4 trillion dollar issue for e-commerce portals across the world. Most portals tend to face abandonment because of high priced products, complex registration process, confusing checkout systems and payment security. AI technology is helping retail stores keep their audiences engaged. Systems draw on user data to create personalized forms of communication.
For instance, maya.ai, the AI engine that understands customer taste and uses that to personalize user experience and integrate exit pop-ups to a portal. As soon as the user decides to leave, a pop-up with a set of most suitable products appear. This can prevent users from exiting the portal and can also increase the average time spent on the page.
Education- student lifecycle management
Every year, universities spend a ton of resources on the management of their student base. Universities make extra efforts to retain all students, and see them through graduation. Losing a student will harm the retention rate and is a waste of resources.
AI will help universities efficiently manage the life cycle of a student, right from their enrollment to graduation.
With the help of an AI engine, universities can nurture student life cycles by personalizing communication.
- Using student data to develop customized messages.
- Easy advertising of courses to enrolled students
- Providing timely information for student services, university events, career fairs and so on.
Apart from this, the AI engine can play a vital role in the academic success of a student. The data can be used to remind students about various project deadlines, schedules for examinations, etc.
Video games – advanced bots
The gaming industry is undergoing significant changes and has played an important role in the research of AI.
AI has not only made the user experience better, but has also bettered how games are designed today. Artificial intelligence research firm Open AI has been training its bots with something known as the deep reinforcement learning. Instead of teaching bots how to play the game, they’re trained to understand actions with rewards.
AI has not only made the user experience better, but has also bettered how games are designed today. Artificial intelligence research firm Open AI has been training its bots with something known as the deep reinforcement learning. Instead of teaching bots how to play the game, they’re trained to understand actions with rewards.
Dota 2, a very popular MOBA game, is using OpenAI bots to help players train at a higher level. These bots went on to beat some of the best players in the world.
Banks – personalized campaigns
Banks have access to huge consumer data sets. Unfortunately, some banks opt to go the traditional way due to the barrier of IT infrastructure and setups. The failure to maximize the use of this data is causing major setbacks for these banks.
Crayon Data, a Singapore based big data startup, has been helping tier-1 banks around the world. Their personalization engine maya.ai analyzes large data sets and engages customers with relevant campaigns.
maya.ai uses taste led personalization that is consistently delivering a significant increase in spends across customer segments for various banks.
Smartphone – speech-to-text
A common feature in smartphones these days is speech-to-text. All one has to do is press a button and say a particular phrase. The phone immediately converts this audio to text.
Accurate automated transcription for many years was a complex thing to achieve, but the use of neural networks is helping transcribe conversations more accurately. Siri, Cortana, and Google Assistant are among the popular ones in this domain.
What lies beneath the tip?
The innovation in the world of AI has just hit the tip of the iceberg. The question that pops in our mind when talking about AI is, how further can it go. The answer remains to be seen, but the future looks bright, and there will be a point when AI becomes an integral part of our lives. As innovations unfold, AI will propel the world to a more convenient space.
