Business innovation and artificial intelligence have seen such a drastic change that they are inseparable today. A typical example is a chatbot that your favorite brand uses on their website to interact with you. Other examples include AI-powered applications that help marketing teams to personalize each customer experience. Today, small businesses have created a separate market for themselves using the right marketing strategy and artificial intelligence. During the last decade, the progress in AI has transformed how ideas, inventions, and innovations happen.
How machine learning can help your business innovation planning
Today, machine learning is a critical component of business innovation. Machine learning massively helps when you have repetitive processes that need automation, but it is complicated for automation using traditional programming.
Such places in your business where you need to look through large amounts of data and decide quickly about each data set is suitable for machine learning and application. It will save the business both time and money.
Businesses can also use machine learning to transcribe audio to text, recognize objects in pictures, or understand if the user comments are positive or negative.
The forthcoming data challenges for businesses
As the pandemic turns the world upside down, businesses across the globe will experience massive changes and challenges. But automation will remain the constant factor and be at the center of everything. Automation through artificial intelligence translates to growth that is solely dependent on intelligence gained from data via social media, connected devices, and other means that possess the capability to revolutionize business models.
With a massive amount of data collecting within various industries daily, some questions that we must understand are:
- How does the new data-driven intelligence offer new opportunities and risks to businesses? And,
- What kind of consequences could each market (existing and new) expect from this data-driven environment?
Today, businesses are grasping the implications of this maturing AI-driven automation ecosphere. The relationship between information, data, and intelligence is complex and sometimes indirect. Still, the stride and force that automation will imply will garner new opportunities and challenges for all businesses.
Transforming business models
With the world coming closer and closer through technology, businesses today have the opportunity to collect more data, analyze it, and innovate. It means, industries will witness a staggering evolution:
- Faster marketplace
- Better operation
- Business diversity
- Profit growth across different industries
- Informed consumer, and
- Dynamic business operation
Some examples of AI changing businesses
Chatbots in various websites are becoming common today, helping businesses enhance their customer service. Several brands are either investing in artificial intelligence for virtual assistance or are planning. While others fear the idea of customers interacting with bots will fail, some are optimistic about the potential of machine-driven assistants with human-driven customer service.
Automation is one area that has witnessed a staggering rise in the last decade. People are innovating different automation tools for various applications and industries. While home appliances were the first automation tools, industrial robots are the latest. Today, AI-enabled robots are working side by side with humans in various industries.
Personalized customer experience
Using artificial intelligence, businesses/companies can provide a better-personalized customer experience to the customer. They can use AI to analyze data and find patterns in the information about a particular customer – buying history, credit scores, shopping preferences, etc.
Once they have actionable data, businesses can develop their marketing and sales strategy for each customer. It boasts a more personalized experience and creates data entry points at every customer engagement. The process will further help personalize the sales cycle through AI-driven applications that will allow businesses to further engage with the right customers with the right products at the right time.
Finance and banking
The finance sector is currently one of the most significant users of artificial intelligence and its application. AI is helping financial institutes boost revenue, cut costs while preventing fraud. In 2016 alone, the finance sector lost $16 billion due to identity theft and scams. It ensured a more practical application of AI to analyze client activities, buying habits, location, and flag suspicious users through fraud detection. Find out more about fraud detection and identity verification on www.idenfy.com.
Apart from it, AI is also helping in algorithmic trading to help eliminate the emotional element in logical trading. Machine learning enables algorithms to learn and encourage better trading solutions and strategies.
AI also enables banks and companies to boost their personalized banking services. Banks can provide a unique portfolio to customers depending on their risk palate. They can also offer customers personalized finance plans after observing their spending habits, goals, and income.
The addition of AI has enabled small businesses to flourish through accurate strategy implementation. Today, new start-ups and brands possess a chance to compete with the big fish. On the other hand, large enterprises are implementing AI in their existing work environment to streamline their work process and increase efficiency.