According to the
IBM Institute for Business Value, in a recent publication: “Shifting
toward Enterprise-grade AI:” The key elements to implementing AI
into the Business Strategy includes:
– “Develop your
AI-enabled business strategy. The vision needs to come from the
top with clear desired business outcomes and focus on permeating
the mandate throughout the organization.
– Bring the focus back to data. Every enterprise has some data that
is clean and useful. Don’t let poor data quality or quantity be
an excuse to put off the journey to AI. Instead, start with the
data you have and then use AI as a catalyst for investing in a solid
data platform that brings together external licensed and public
data to drive broad data sets that enable the training of AI algorithms.
– “Quickly move from strategy to execution. Pick a starting point
that makes sense for your organization and your business objectives.
Execute quickly, show iterative results and earn the right to scale.
Communication with stakeholders is critical. – Build a path to scale
with appropriate skills and change management practices. Scale by
building the team and skills required to grow and leverage AI through
internal hires and use of strategic partners while practicing good
stakeholder, cultural and change management in order to execute
on the business transformation mandates set out by leadership.”
– Downloaded from https://www.ibm.com/downloads/cas/QQ5KZLEL, on
October 2, 2019.
Artificial intelligence
(AI) is a powerful technology that can enhance the performance and
efficiency of various business operations.
For a startup, AI
can offer a competitive edge and help overcome the challenges of
limited resources, time, and expertise. Here are some ideas of how
a startup can use AI in four key areas of business operations:
accounting, marketing,
advertising, and cybersecurity.
Accounting is a
vital function that involves recording, analyzing, and reporting
financial transactions and information. AI can automate and streamline
accounting tasks, such as bookkeeping, invoicing, tax preparation,
and auditing, by using natural language processing, optical character
recognition, and machine learning. AI can also provide insights
and recommendations based on data analysis and predictive modeling,
which can help improve financial decision-making and planning.
Marketing is a process
that involves identifying, understanding, and satisfying customer
needs and wants. AI can enhance marketing strategies and campaigns
by using data mining, sentiment analysis, and personalization. AI
can help segment and target customers based on their behavior, preferences,
and feedback, and deliver customized and relevant messages and offers.
AI can also measure and optimize the effectiveness of marketing
efforts by using analytics and experimentation.
Advertising is a
form of communication that aims to persuade potential customers
to buy a product or service. AI can improve advertising outcomes
and efficiency by using computer vision, natural language generation,
and reinforcement learning. AI can help create and design appealing
and engaging ads, such as images, videos, and texts, by using generative
models and creativity. AI can also help optimize and allocate advertising
budgets and channels by using dynamic pricing and bidding.
Cybersecurity is
a practice that involves protecting information systems and networks
from unauthorized access and attacks. AI can strengthen cybersecurity
defenses and responses by using anomaly detection, pattern recognition,
and game theory. AI can help monitor and detect cyber threats and
anomalies, such as malware, phishing, and denial-of-service, by
using deep learning and neural networks. AI can also help prevent
and mitigate cyberattacks by using adversarial learning and deception.
To design and implement AI for these business operations, a startup
needs to follow some steps, such as: - Define the problem and the
goal of using AI - Collect and preprocess the relevant data - Choose
and train the appropriate AI model - Evaluate and validate the AI
model - Deploy and monitor the AI model - Update and improve the
AI model AI can offer many benefits and opportunities for a startup,
but it also poses some challenges and risks, such as: - Data quality
and availability - Ethical and legal implications - Human-AI interaction
and collaboration - Trust and transparency - Security and privacy
Therefore, a startup needs to consider these factors and adopt best
practices and standards when designing and implementing AI for its
business operations.
Call Silicon Networks
today for risk free evaluation of how Silicon Networks can move
your operations onto an AI model: (775) 945-9825
Silicon Networks
Group is an authorized IBM Business Partner.
