digital transformation and artificial intelligence case study 2 report grow inc

From the 7-year milestone of establishment, GROW has taken steps to develop and successfully gain several trusted customers, since then there have arisen many new problems that need to b

VIETNAM NATIONAL UNIVERSITY HO CHI MINH CITY UNIVERSITY OF ECONOMICS AND LAW

DIGITAL TRANSFORMATION AND ARTIFICIAL INTELLIGENCE

CASE STUDY 2 REPORT GROW INC.

TEAM:

CLASS ID:

LECTURER:

13 225MI5204 VŨ VĂN ĐIỆP

List of members:

Lê Thị Uyển Nhi K225021978

Lê Thanh Tùng K225022000

Đoàn Anh Minh K225021971

Nguyễn Quỳnh Nga K224020172

Hồ Thị Hồng Ngọc K224020177

Index

1 OBJECTIVE: 3

2 KEY ISSUES TO TACKLE: 4

2.1 Strengthening capital 4

2.2 Fix some disadvantages of Grow 4

2.3 Improve employee performance when using GROW data: 5

3 EVALUATE OPTIONS: 5

3.1 Criterion 5

3.2 Options and Evaluation 5

3.2.1 Increase the number of users 6

3.2.2 Use unsupervised machine learning 6

4 PROPOSE: 7

4.1 Detail of your recommendation 7

4.2 How your recommendation solves the issues 7

1 OBJECTIVE:1.1 Abstract (Summary)

Masahiro Fukuhara - CEO of the Tokyo-based Institute of Human Analytics Startup (IGS) proposed the idea: get rid of the "intuition" of people and instead use "Big Data" as a tool, a rational tool to evaluate separate data points between multiple people, not only that, but also use integration with Machine learning and AI to develop a logical, objective, and constantly improving model that enhances the ability to recruit, screen and develop human resources

From the 7-year milestone of establishment, GROW has taken steps to develop and successfully gain several trusted customers, since then there have arisen many new problems that need to be solved such as:

 Strategic focus to expand the use of GROW in more areas  Invest in developing, improving, and enhancing AI operations, making

GROW a reliable replacement partner that customers can trust, entrusting an important area such as human resource management

1.2 The objective of our proposal

From the momentum of the successful 7-year milestone, GROW's current top goal is to accelerate the improvement of old technologies and to innovate and create new technologies to continue to remain a pioneer in the industry field

Building a team of specialists to perform management and supervision work for future market expansion goals

1.3 Supplement the objective with numbers

As of June 2017, GROW had 74,000 users, including students at prestigious and lesser-known universities Customers include Mitsubishi Corporation, All Nippon Airways (ANA), Septeni, DeNA, Rakuten, AXA and many others Even government organizations such as the Ministry of Economy, Trade & Industry of Japan (METI) and the United Arab Emirates participate

Looking at the modest figure of 2,000 participants in December 2016 and the growth number to 74,000 users in 2017 we see that the strategic path chosen by GROW is perfectly suitable, and the team's output will aim to complete and correct outstanding shortcomings

2 KEY ISSUES TO TACKLE:2.1 Strengthening capital

This lack of capital can hamper the company's ability to invest in new equipment, hire additional employees, expand into new markets, or develop new products and services It may also result in limited marketing efforts, insufficient research and development capabilities, and hindered competitiveness in the industry GROW Inc needs a substantial amount of funding to acquire clients through scaling and marketing techniques build technologies Furthermore, the funds towill assist GROW in increasing its investment resources in order to strengthen its technology, grow its database, and establish other prospective markets outside of the world

2.2 Fix some disadvantages of Grow

Recruitment: To achieve objectivity in recruiting, Grow's AI engine's data analysis skills must be enhanced Enhance the recruiting process and broaden the recruitment criteria in the input database: Grow must be taught in attributes like knowledge, abilities, experience, and so on, with reliable input data and sufficient supervision/cooperation from human elements

Limited geographic presence: GROW Inc might have a limited reach and presence, which can restrict its ability to cater to a diverse customer base or expand into new markets This could potentially hinder its growth and competitiveness against larger and more established competitors

Lack of brand recognition: As a relatively smaller or newer company, GROW Inc may face challenges in establishing a strong brand identity and recognition among consumers This can pose difficulties in building trust and attracting customers, especially in highly competitive industries

Resource constraints: Limited resources, such as financial capital, skilled staff, or advanced technology, can be a common disadvantage for smaller companies like GROW Inc This might restrict the company's ability to innovate, invest in research and development, or scale operations efficiently

Difficulty in building trust and customers: Different customers with different requirements Changing consumer behavior requires companies to build trust and win over customers Grow Inc can have a hard time building trust and creating trust with new customers Focusing on product and service quality, meeting customer needs, and creating a good customer experience can help companies overcome these challenges

2.3 Improve employee performance when using GROW data:

Human resources management and designated department heads need to be trained in GROW functions to make correct use of Grow data results, because AI can perpetuate bias and system discrimination The relevant parts of the organization also need to be careful in how to use Grow to lead to the treatment of employees, especially in decision-making, because the results generated by AI are still a sensitive issue, skepticism in an organization

GROW must be trained in criteria such as educational organization, nurturing creativity, employee satisfaction, and so on, with the right supervision of the human factor and with adequate input data

AI products need a large amount of data, which must be accurate Inaccurate data or incomplete data may significantly impact the organization's ability to assess employee performance accurately Data entry errors, inconsistent reporting, or outdated information can lead to unreliable analysis and decision-making

3 EVALUATE OPTIONS: 3.1 Criterion

GROW inc will achieve its expansion goals as their AI improves, at the same time, AI will also be further developed thanks to the newly collected data system provided by customers themselves Therefore, in order to achieve the highest results, GROW has chosen to solve both expansion and improvement problems in parallel

3.2 Options and Evaluation

Creative directors in the fashion sector play a key role in the product development process In addition to the function of designing unique new products, they must also be market attributors and distribute products with other designers and businesses When Art Peck realized the difficulty of creating and shaping products to market, he was skeptical about the creative director's competence Out of skepticism, Peck decided to remove the position of creative director with Big Data To make decisions regarding GAP's upcoming plans, Big Data will be used to gather user data from data from social networks, site visits, call logs, and other

sources

3.2.1 Increase the number of users

To be able to screen resumes, AI needs many very large data sources, constantly updated to always follow real life, and have a high level of diversity One of the most efficient and easy ways to get this wealth of data is to increase the number of users

In fact, after solid financing and a near-complete system to target high-end customers, by June 2017, GROW Inc has reached 74,000 users This is not a large number, but compared to Japan's 650,000 annual graduates, this number of users is substantial

Advantages: This is a relatively simple method of GROW operations because from the very beginning, attracting more customers for more users and data has been their primary goal

Disadvantages: This requires more data sources so checking and updating will also be more difficult

3.2.2 Use unsupervised machine learning

Identify competencies through queries: To power the AI engine, ISG has developed a list of competencies and queries that meet few specific criteria Each a

competency is approached through 6 or 7 questions (queries) However, to increase the chances of participants completing the assessment, IGS used analysis of key components to reduce the number of queries to 3 queries

Identify competencies through a four-level rubric: Participants are required to complete a four-level Rubric The four levels mentioned include "rarely," "sometimes," "often," and "almost always." Through the Rubric, participants will be able to demonstrate the actions and characteristics corresponding to each query Advantages: GROW has a simple communication formula to make it easier to reach the interviewees, 3 questions and answers are quite small, but when customized to be the most appropriate, it will give an overview of the subject It is necessary to survey and assess how the respondent views the person being beaten Disadvantages: The highest requirement for this solution is to find out which queries are suitable for the object that needs to be typed Price, this again depends entirely on what customers want from their candidates, this will push AI into a passive position In addition, the issue of honesty in evaluation remains the same sketchy way is not effective

4 PROPOSE: 4.1 Detail of your recommendation

 Problem (a): Grow should focus on the AI team: how to attract more talent,

how to make the team better In addition, it is necessary to build a supervisory team to ensure the honesty of employees to avoid leaking information of the company or customers to third parties, causing damage to

property and reputation by Grow

 Problem (b): Adding some functions (observing candidate expressions,

analyzing voices ) or coordinating with other evaluation software to give the most objective and accurate analysis results

4.2 How your recommendation solves the issues

 Problem (a)

In-house talent search: Focus on attracting more current employees to combat the effects of talent shortages, providing employees with training opportunities or opportunities to take on responsibilities New responsibilities, flexible work arrangement This helps retain employees and prevent further skills shortages

Upskilling employees: Non-profit like Fast.ai and Deeplearning.ai companies, who can help create Google Brain labs, offer online courses Grow can train employees in AI and related techniques to improve their performance Improve the work environment and encourage productivity with rewards: There are many competitors and job facilitation today comfort as well as creating a good corporate culture for employees is necessary to retain the company's talents Encourage employees' work spirit with rewards and incentives commensurate with their capacity so that they feel valued and work more effectively and loyally

Looking for external resources, especially young ones: To ensure that there is no shortage of human resources soon, additional human resources are essential However, the search must be carefully selected, with an appropriate selection process to supplement quality human resources for the company Cooperate with universities to organize academic competitions to find talent right from the time they are students in order to show potential human resources for the company in the future

Add the function of dividing candidates into different groups of candidates before evaluation: Before conducting the assessment, Grow will let candidates choose the position they want to apply for (Example for candidates to choose between employees through or leadership positions) From there, screening, and dividing candidates into several groups, each group conducts analysis with different algorithms, in accordance with the characteristics of each group to give the most accurate assessment, avoiding missing needles in the haystack dry (Specifically employees who have potential to become future leaders but are screened too early in the hiring process) Incorporating software that supports observing candidates' expressions, voices, and attitudes during the evaluation process: On the basis of dividing candidates according to the position they want to apply for, this software supports measuring the level of anxiety, pressure and voice analysis of candidates For example, leaders limit anxiety and nervousness when mentioned aspects to Grow, helping Grow to some extent in reviewing to give more appropriate and accurate evaluation results answering; Salespeople need to avoid covering up The software will track candidates and provide information on the above

5 IMPLEMENT:5.1 Timeline

customer attraction through investment capital campaigns, and marketing campaigns on a larger scale

customer data in May

to western capitalist countries in May, and improving recruitment Grow must also work on improving the internal performance and quality of its members, from management to employees, through decision-making or educational training

5.2 Source estimation

There are two resources: High-qualified employees and Budget.

take approximately 25-35 people to collaborate and have a team to test the application first to help the developer find bugs There must be a team of mobile application developers who design the application interface so that it is easy to use for everyone They serve as a link between the application's data programmers and

the user Furthermore, as the team of developers who write code for the application, they bear complete responsibility and frequently focus on behind-the-scenes activities if any of the above activities occur on the application The third category is quality analysts, who must create plans and test cases, among other responsibilities Meanwhile, the responsible manager is critical of keeping everyone on track for time and delivery

accordance with user needs and preferences Hiring highly qualified employees to create systems that respond to consumer needs Moreover, investing in marketing and advertising to increase awareness of their products and provide a positive shopping experience for customers

5.3 Contingencies

Investing in technology necessitates a large sum of money, which Grow Inc may be unable to meet; in this case, Grow Inc may issue shares, bonds, or raise capital from partners and other companies

It is necessary to capitalize on the existing brand image with previous loyal customers Developing products that are current, of high quality, and reasonably priced in order to attract users, build customer trust, and strengthen the company's position in the international market

Grow Inc will also need to find more potential partners in the future

5.4 Risk mitigation

Grow is one of the most popular applications today for creating a breakthrough in improving human resource management strategies by incorporating artificial intelligence into software These tools have the potential to help your workforce develop further while also attracting and retaining talent, increasing productivity, and promoting organizational flexibility Grow is also a very useful application for large businesses or enterprises, so the risk is relatively low However, in order to avoid being passive when taking risks, the company always creates specific cases Firstly, Grow Inc must take corrective action to mitigate the risks posed by nature Secondly, the recommendation must also include a Plan B For example, if the result does not meet expectations, the second set of recommendations must be included in the plan to allow the organization to quickly switch to Plan B in order to avoid losses and maintain the company's market presence Furthermore, Grow Inc must prepare to face consequences if an employer's information is disclosed,