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.
Read the case study by clicking here
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.
Comments
Post a Comment