Module 4: Emerging Technology Research

Babatunde Afolabi
Nexford University
Market 6080 - Automation, Agility and Efficiency in Marketing Processing
Professor Kyle Allison
July 30, 2023

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Using Emerging Technologies Machine Learning (ML) as a Marketing Tool to Improve
Blueprint business technologies limited Managed Service solution.

According to a study by Burns Ed, Machine learning aids the development of new products
and provides firms with a picture of trends in customer behavior and business operational
patterns. It now serves as a critical point of differentiation for numerous businesses. Machine
learning is a crucial component of operations for many of today's top businesses.
According to Conlin, Through machine learning (ML) technology, firms can now classify
successful marketing opportunities and campaigns locally and worldwide, irrespective of
geography and demography. Based on historical information from the company website and
other lines of contact, it may tailor client demands and make practical ideas and
recommendations that benefit both customers and enterprises. Additionally, it offers
commercial products that fit the needs of its clientele.
Customer lifetime value modeling is crucial for e-commerce companies but also helpful in
many other industries. The most valued consumers are identified, understood, and retained by
businesses using machine learning algorithms. To identify the greatest spenders, the brand's
most devoted supporters, or mixtures of these attributes, these value models analyze
enormous amounts of consumer data. (2017) Oracle Nigeria 2023
Due to the extensive insight, it offers into market trends and client demands, using the
machine learning tool for marketing allows businesses to customize their goods and services
based on the categories and profiles of their customers. As a result, there is a significant rise
in income. De Mauro and others, 2022
Machine learning can also be utilized in forecasting to predict the future using historical data.
To help teams adapt expectations and goals, this can be used to locate new consumers, show
when transactions with current prospects may be closed, and anticipate sales projections.

PROMPT 2
Why did you choose the technology?
• A machine learning technology was chosen to assist in reducing process-driven losses,
increasing capacity by optimizing the operational process, and lowering costs by
guiding predictive maintenance on the fracture to reduce downtime for a proactive
maintenance approach with customers.
• With extensive analyses of the customers' security and infrastructure, ML will also aid
in the detection and prevention of fraud, hacking, and attacks on the bank's
infrastructure.
• ML aids in resource management by lowering expenses and increasing total profit for
the end user, which leads to greater profit and business for BBT.
• ML provides efficiency through automated frameworks, which provide faster and
more productive services than manual practice. It aids in automating routine checks
and maintenance, saving time and money for BBT.
• The tool will boost our company's productivity and efficiency.
 • MI tools assess the client's purchase pattern on IT infrastructure as well as the status
of the current infrastructure, allowing BBT to provide informed advice and decisions
to the customer and earn customer loyalty. This informed advice minimizes IT
expenditure, resulting in cost savings.

• With his decision-making processes that assist in preventing and addressing

difficulties with little or no human intervention, the ML tool will aid in the efficient
management of the customer infrastructure.

PROMPT 3
How will this technology benefit your customers, the brand, and the business?

• According to the machine learning prediction tool, the client can estimate the obsolete
resources required for change or new to meet the end user's demands, which helps
save money on new IT infrastructure and allows for efficient resource planning.
• ML improves efficiency, allowing businesses to speed up repetitive procedures and
move human resources to higher-value activities.
• ML aids in predictive maintenance.
• ML saves time and money by monitoring, analyzing, reporting, and executing
repetitive duties in the customer environment, allowing the customer to focus on
strategic work and making BBT work more efficient and gratifying with customers.
• ML provides customers with a competitive advantage in the markets by utilizing a
dedicated machine learning algorithm to assist customers in introducing new
solutions, with the BBT team collaborating with the customer to apply this to
marketing strategies and the design of new products for end users.
• ML can assist in automating the process of maintenance, security checks, processes,
and rules that allow the organization to run smoothly.
• Managed services assist the client in making informed IT budget decisions, achieving
a return on investment through cost-effective solutions and consulting, and preventing
resource waste on unnecessary solutions. As a result, Blueprint Business Technologies
will become a reputable consultant who receives recommendations from current
clients, resulting in the expansion of its product line.

• Assisting with policies, processes, protocols, and best practices that are advised by the
various authorities for the complaint and security of the firm is a key responsibility of
the managed service team.

• With a dedicated team, managed services relieve the load on the IT team and free up
the organization's IT staff so they can concentrate on critical and strategic tasks.
 • With managed IT services, there will be round-the-clock support to make sure the IT
systems are functioning properly at all times. Glitches and problems are always
handled by the managed service staff.

• Managed Services can be viewed as a proactive strategy from a business to prevent

downtime and give its clients excellent customer service.

• The managed service provides business continuity by creating a robust internal

infrastructure that maintains or quickly recovers the business processes. It also
routinely measures and analyzes various risk variables and creates solutions for
various scenarios out of caution.

• Managed Services provide a streamlined method that unifies all suppliers, services,
and solutions under a single account management and manages everything on a single
communication platform for simple administration and support.
PROMPT 4
What are the core objectives of the KPI for this product, services, or Experience?

• Satisfaction of the clientele/quality

• Making sure of business continuity
• on-time and within-budget service delivery
• Savings on costs
• Zero downtime

PROMPT 5
How will this technology meet one or more core objectives and KPIs of your product,
service, or experience?
1. Making sure of business continuity
• Through the identification or building of models, machine learning contributes to
business continuity. It can then be linked to decision-making software that can
guarantee corporate activities are modified as needed to avoid disruption.

• Machine learning can improve business continuity plans by assisting at many stages
of the process, from risk assessment to response strategy formulation and recovery
plan execution.
 • ML tools can analyze massive data sets from company operations and find trends in
that data that signal threats to business continuity.

• Machine learning tools aid in real-time monitoring and predictive analysis to ensure
that a solid business continuity plan is in place.

2. Cost Saving solution.

• Sequel to the report from the machine learning tool, the client may determine which
resources are outdated and which ones are required for change or new in order to
satisfy end-user expectations, which helps save money on new IT infrastructure and
enables effective resource planning.
• ML increases productivity, enabling businesses to speed up repetitive procedures and
redirect human resources to higher-value activities.
• Predictive maintenance is made easier by ML, which also helps save costs.
• ML's extended variety of applications for monitoring, analyzing, reporting, and
executing repetitive operations in the customer environment save time and money and
allow the customer to concentrate on strategic work, which makes BBT work
effective and pleasing to customers.
• With the help of a dedicated machine learning algorithm, ML gives customers a
market advantage by assisting them in introducing solutions based on data and multi-
level analysis. The BBT team collaborates with the customer to apply this to
marketing plans and the creation of new products for end users.
• ML can aid in automating maintenance, security checks, processes, and rules that
enable efficient business operation.

PROMPT 6
How could you use this technology to enhance or market the product, service, or
experience?
• The machine learning tool will be used by BBT to enhance the whole customer
experience for its goods and services, ensuring constant promptness and effectiveness
of support.

• In order to meet client demands, BBT will make use of the available capabilities. This
strategy could result in more successful marketing campaigns and higher sales
conversion rates.
 • Process Optimization: A number of corporate processes can be made more efficient
using machine learning. For instance, supply chain management, support, and
infrastructure security. To guarantee zero downtime, the managed service strategy will
be proactive and smooth.

• Email marketing: Using machine learning to automate email marketing campaigns

can lower costs, better reach potential customers, and improve connections with
current clients.

• Machine learning also aids in the customizing and categorization of clients depending
on their class, which aids in billing and providing solutions to customers based on
their needs.

• We intend to use the ML at BBT to discover areas where our competitors fall short
and improve our own offerings accordingly. This will provide us with additional and
improved marketing opportunities.

PROMPT 7

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