Why AI/ML Will Be the Game-Changer in The Future

 


The covid-19 pandemic has altered everything around us in the blink of an eye. The role of AI/ML is advancing day by day and transforming the world and people’s lives. Unknowingly, we’re interacting with AI/ML-driven tools, whether a simple Google search, a mini conversation with Amazon Alexa, Apple’s Siri, Google Home virtual assistant, or chatbots every day.

Many global experts believe that artificial intelligence can increase production value, bring out new growth opportunities, and the work environment across industries starts to differ due to the AI-driven digital transformation. 

No matter to which industry we belong, data is everything for organizations to upscale their profit margins. However, organizing the whole real-time data is time-consuming, so both AI/ML are employed to reduce the manual effort. The demand for digital transformation is constantly evolving, and companies have recognized the significance of digital transformation to take an edge over the competition. 

If you’re looking for exceptional Artificial Intelligence & Machine Learning services, then Sun Technologies’ is the word-class service provider for AL/ML services across the globe. Our AI experts helps businesses solve the most complex problems and uses the most innovative technologies to offer effective AI-based solutions. We provide services for data science, robotic process automation, data scraping, and more.

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What is AI-Driven Digital Transformation?

AI-driven digital transformation plays a major role in improving the best possible customer outcomes for an organization. In every phase, a plan, deliverables, and key metrics are essential. The technologies into the stream of AI-driven digital transformation are cognitive systems, big data infrastructures, blockchains, natural language processing, social network analytics, loT for data acquisition, and more. Low code test automation frameworks such as SWAUT enabled with AI can accelerate your digital transformation journey.

Which Technology Will Enable Businesses to Expand AI?

The AI expanded its wings to multiple industries related to marketing, sales, IT infrastructure, operations, finance, digital channels, Human resources, including reporting systems.  Below we’re listed some of the sectors that leverage multiple benefits of AI.

Role of AI in E-commerce

Automated systems would handle almost 85% of customer interactions without humans in the future. In the e-commerce sector, AI can identify different patterns and clusters related to consumer purchase behaviour. It also analyses millions of transactions each day and helps in targeting offers to the individual customer in a more personalized way. Further, AI helps in potential retargeting customers.

Real-time Assistance Services in Aviation

International airlines interact with millions of people across the globe every day. In this process, airlines struggle to keep up with customer interaction to tackle this problem. AI comes into play. With the help of intelligent systems and chatbots, AI connects and interacts with the customers and updates flight schedules by pushing personal notifications. Finally, this brings a positive impact on the brand.

 

Take Quick Decisions with Business Insights

AI systems extract valuable insights right from big datasets. Manually pulling out this kind of data would be complicated and time-consuming. So, by integrating AI with CRM, businesses get in-depth insights to make better business decisions like what consumers need to focus on, and AI uncovers the best offers to provide.

Role of AI in Small Businesses

Most sales executives who look out for correlations in existing customer data won’t know that AI systems can capture signals. An AI-integrated customer support tool predicts consumer behavior based on their recent activity and this information help business to build a strong relationship with the customer.

Benefits of Artificial intelligence and Machine Learning

·        The impact of scriptless test automation with AI on service industries is higher, leading to higher production rates, improving product quality and safety

·        Artificial Intelligence is capable of making more intelligent business decisions

·        Machine learning identifies specific patterns of browsing behaviors of the user and shows the relevant products, deals, and advertisements

·        Algorithms of ML quickly hand in multi-dimensional data

·        AI responds to customer queries and quickly sends more personalized messages with practical solutions

·        AI helps the healthcare sector perform clinical diagnoses without the patient's presence by using remote monitoring technology

·        AI/ML tools help organizations to predict and overcome crises proactively

·        AI minimizes the manual errors where businesses get benefited

·        Ultimately improves business efficiency by reducing stress on employees

 

Deep Learning Algorithms

Deep learning algorithms go through multi-layers of neural network algorithms in which each of its data passes to the next layer. These algorithms keeps on learning more about the neural network layer. The early layers learn how to detect features from the low-level and subsequent layers. Deep learning is ultra-powerful in processing unstructured data.  

 

Chatbot Development Framework

Over the period, the demand for chatbots has increased significantly. Many organizations use a chatbot to scale up their businesses by providing personalized solutions and feedback to the user queries just like a real person. Additionally, with chatbot help, companies offer 24x7 support, effortlessly handle customers, and give cost-effective solutions. You can try some of the chatbot frameworks such as Microsoft bot, wit.ai, Dialogflow, IBM Watson, Chatterbot, mobile monkey and more.

Robotic Process Automation

Robotic process automation fully automates human activities by using software robots. These bots perform several tasks like data entry, processing transactions, and responding to simple consumer queries. This robotic process automation is classified into four different types.

1.     Data entry robots

2.     Verification robots

3.     System integration robots

4.     Trigger robots

 

Data Scraping 

Data Scraping is a technique that a computer program extracts data from output results obtained from another program. It is also known as web scraping. However, organizations do not want their content to be reused for unauthorized purposes. The scraper bots are designed for content scraping, price scraping, and contact scraping.  

 

Conclusion

In today's generation, for any business or organization, digital transformation is the critical bridge to modernize their infrastructure by adopting advanced technologies like AI/ML. The data extracted from machine learning and analytics gives in-depth insights into where a company needs to focus on by reducing bottleneck issues and accelerating the internal speed of operations, resulting in empowering your businesses in the long run. Sun Technologies scriptless test automation tool, intelliSWAUT integrated with AI technologies helps maximize the scope of code reusability and simplify the complex test automation processes.

 

In case if you're the one who is looking forward to modernize your business with the help of artificial intelligence and machine learning technologies then, contact Sun Technologies for top-notch AI & ML services today.

 

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