Impact of AI on Business: Privacy, Wellbeing, and Workforce

This presentation examines the significant impact of artificial intelligence (AI) on business operations, drawing from a case study and Chapter 9. It explores how business intelligence enhances decision-making by transforming data into actionable insights, improving sales, marketing, and customer experience. The presentation also addresses critical privacy issues associated with AI, such as data exploitation and tracking, and its effects on workforce conditions, including bias reduction, safety, and training. The content highlights AI's role in enhancing productivity, managing risks, and boosting return on investment, while emphasizing the importance of data accuracy, compliance, and employee well-being. The presentation concludes by offering a comprehensive overview of AI's transformative influence across various aspects of business and society.

LIVING AND WORKING WITH
TECHNOLOGY
NAME
INSTITUTION
DATE

INTRODUCTION
• This presentation focuses on the impact of artificial intelligence in business
by considering the content of the case study and Chapter 9.
• The presentation also addresses key privacy issues involved with the use of
artificial intelligence in business as well as its impact in wellbeing and work
conditions.

MAKING BETTER DECISION
• Identify the problem (Intelligence).
• Develop alternatives (Design).
• Selecting the best alternative (Choice)
• Implementation.
• Evaluation (if the decision worked then its completed, if not
then begins with problem identification) (Hammond, Keeney
& Raiffa, 2015).

QUESTION1-USES OF BUSINESS
INTELLIGENCE
• To begin with, from the perspective of problem solving discussed in Chapter 9 and the content of the case study, it is
evident that business intelligence plays a crucial role in improving the performance of businesses. For instance,
business intelligence is significant in making smart decisions (Yeoh & Popovič, 2016). This implies that as business
managers are required to have a firm grip on what the organization data results suggest.
• In essence, the primary objective is to convert an organizations data into meaningful information that can be used for
purposes of decision making. Better decision making is bound to be realized when the managers have sufficient
information about their business at their fingertips. Business intelligence information is effective in facilitating
decision making process because all the information is channeled through a central location.
• Here, it suggests that the business intelligence tool that are used such as Isaak can collect all the required information
in order to make decisions. On the contrary, lack of business intelligence exposes a company to poor decision
making since the executive may lack certain information.

TO REALIZE SALES AND MARKETING GOALS
• Provides detailed information.
• Offer measuring attributes.
• Increase visibility
• Targeting market
• Tracking and measuring campaign.

DEEPEN CUSTOMER KNOWLEDGE
• Its is significant in understanding customer engagement.
• Assist business to adopt to new customer journey.
• Evaluating individual purchase patterns.
• Offers strategic thinking for decision making process (Kasemsap, 2018).

DELIVER IMPECCABLE CUSTOMER
EXPERIENCE
• Businesses need to improve customer knowledge to enhance their
experience.
• Offers real-time information to owners of the business.
• Helps to manage risks.
• Enhances data accuracy and management.
• Helps to identify profitable profiles (Caban et al 2015).

ENHANCE PRODUCTIVITY
• Contributes in detecting inefficiencies.
• Improves business activities and automation.
• Responsive customer service.
• Manages time effectively.

TIGHTEN DATA ACCURACY AND
COMPLIANCE
• Businesses need to know how their data is managed and
protected.
• Increases transparency.
• Mitigate risks.
• Data protection laws focus on capturing, storing and using
personal data.
• Need for accurate and up-to date.

BOOST RETURN ON INVESTMENT
• The aim of AI is to increase the profitability position of a firm.
• AI tools are designed to monitor, inform, guide and measure customer
experience.
• Builds an organization culture.
• Shift of focus from department-specific to enterprise-wide strategies.

QUESTION 2-PRIVACY ISSUES
• Privacy involves controlling how data is being stored.
• Common privacy issues involve.
• Data exploitation (Bryson, & Winfield, 2017).
• Identification and tracking.
• Voice and facial recognition.
• prediction (Terzi, Terzi & Sagiroglu, 2015).

QUESTION 3-IMPACT ON WORKFORCE
CONDITION AND WELL BEING
• It improves workplace conditions workers (Kianto, Vanhala &
Heilmann, 2016).
• Removes element of bias in hiring and remuneration.
• Ensures appropriate safety.
• Helps to integrate training and development.
• Increases opportunities for emerging trend (Wright & Schultz,
2018).

REFERENCES
• Bryson, J., & Winfield, A. (2017). Standardizing ethical design for artificial intelligence and autonomous systems. Computer, 50(5), 116-119.
• Caban, D., Smolčić, V. Š., Kuleš, K., Petrovečki, M., & Bilić-Zulle, L. (2015, January). The importance of the use of business intelligence tools
to improve the planning process and make important decisions in a medical laboratory. In 12. simpozij HDMI Medicinska informatika 2015.
• Hammond, J. S., Keeney, R. L., & Raiffa, H. (2015). Smart choices: A practical guide to making better decisions. Harvard Business Review
Press.
• Kasemsap, K. (2018). Mastering business process management and business intelligence in global business. In Global Business Expansion:
Concepts, Methodologies, Tools, and Applications (pp. 76-96). IGI Global.
• Kianto, A., Vanhala, M., & Heilmann, P. (2016). The impact of knowledge management on job satisfaction. Journal of Knowledge
Management, 20(4), 621-636.
• Terzi, D. S., Terzi, R., & Sagiroglu, S. (2015, December). A survey on security and privacy issues in big data. In 2015 10th International
Conference for Internet Technology and Secured Transactions (ICITST) (pp. 202-207). IEEE.
• Wright, S. A., & Schultz, A. E. (2018). The rising tide of artificial intelligence and business automation: Developing an ethical
framework. Business Horizons, 61(6), 823-832.
• Yeoh, W., & Popovič, A. (2016). Extending the understanding of critical success factors for implementing business intelligence
systems. Journal of the Association for Information Science and Technology, 67(1), 134-147.