Categories
assignments

The Age of AI

Artificial intelligence is the name of the future with AI, “appearing more and more as one of the most in-demand areas of expertise for job seekers” (Stahl 2021).  From previous breakthroughs of Siri to today’s ChatGPT, the race to the top of the tech ladder is a daily one for giants like Microsoft and Google. Tech policy is also an uncharted yet growing sector, with MIT Technology reviews criticizing big tech’s accountability policies and audit practices (Hao 2021). With such growth, new jobs and uses of artificial intelligence are being developed and ushering the “Digital Age” despite the long run significance and impacts on future employees being uncertain (Adams 2017). While still developing, artificial intelligence can presently be successfully integrated into post-secondary student’s lives and future careers through data clouds, indexing software, and cybersecurity risk mitigation.

Data clouds are large, accessible servers that “(grant) unprecedented access and insights so its users can make decisions that” could have ripple effects in companies, communities, and the workforce (Verma 2022). From the systems that store student enrolment data to the location data phones provide, interactions with servers are critical to understanding and making day to day and long-term decisions. Amazon Web Services provides systems as a subsidiary of Amazon to business owners for “optimiz(ing) business value” and “reinvent(ing) with data” through dashboard views of logistical, sale, and other given data scanned through artificial intelligence for trends and insight (). Other companies like Oracle, IBM, and Adverity, that hire employees from business schools, have similar insight platforms that companies can use to generate commentary on large amounts of data that the clouds hold and scan. This creates a unique competitive edge for business students who can at minimum understand the process of AI as it expands “efficacy of work” for new hires (Buhler 2021) and “enhance worker task” (Faia 2023). Such data clouds can also be used for non-monetary, community benefits such as sustainability efforts and wildlife conservation. For student’s pursuing environment, forestry, or other related fields, WildMe offers an example of the symbiotic mesh of nature and technology. On the landing page WildMe states their specialization as, “machine learning experts and software professionals supporting you in the fight against species extinction” (WildMe 2023). This merging supports the understanding that technology can permeate every field and improve conditions through data clouds that assist in greater human understanding of larger problems within the company or community.

Indexing is an artificial intelligence method that has made its way into lives often without routine acknowledgement. At a recent case competition related to cybersecurity hosted by SFU’s CaseIt Business Club called Pivot, students were tasked with using technologies to assist in working toward BC’s Goal of Net Zero by 2050. Salesforce’s Algolia is one such technology many teams decided to utilize within the competition, the tech boasting “better relevance and recommendations” through the software that allows for databases such as Amazon Web Services to be easily searched and personalized recommendations to be provided with applicable search filters (Salesforce 2023). Salesforce also offers jobs to many new graduates with training programs included, but pre-existing technology understanding being key to success in the role. Algolia runs as a consultancy option for many businesses but in day-to-day life such machine learning indexing platforms can be seen in Netflix’s algorithms. The company uses “a process called collaborative filtering” which scans viewing habits and compares them against a content catalogue to provide tailored recommendations and customize Netflix Fast Laughs (Gottsegen 2023). This translates into individuals looking to pursue a career in the entertainment industry gaining an advantage if they recognize how to best use the algorithm for their benefit. This automated indexing system is also evident at Yelp where “machine learning… sort(s) through tens of millions of photos… to group them into various categories” (Gottsegen 2023). Entering industries from entertainment to dining, machine learning systems that can use data clouds to then index information in a digestible manner are pivotal in adaptability within any career.

With the implementation of such expansive and encompassing technology comes what The New York Times calls a “crisis of trust” in the systems of cybersecurity established to mitigate potential cyber threats (2018). System hijacking, data breaches, and phishing are examples of systemic problems that arise with migration to a more tech immersed future for both students and industries alike. The growing technology blockchain is a consistent target of such attacks with about, “500 cybersecurity attacks, considering cryptocurrencies only, with losses reaching $9 billion” suffered by supply lines that impact any student investments in the currencies and company holdings (Alabdulkarim 2023). This means that data is often not as secure as one may think but also brings the rise in thousands of jobs in the field of tech securities with base pay for cyber security analysts in Canada starting at around 80K (Glassdoor 2023). This means that students can work alongside technology to achieve not only management positions that understand the importance of company trust but also pure cybersecurity jobs that offer good salaries and growing prospects. Companies also require mitigation teams to deal with system hijacking, especially when it relates to supply chains that could be majorly disrupted by hackers from anywhere in the world. Such fears regarding data safety proved true as a group of Chinese hackers going by multiple pseudonyms were able to successfully infiltrate distribution channels of six different companies in the span of three years, with cybersecurity professionals within the companies suddenly being in demand (Greenberg 2019). From such cybersecurity offences and synchronous industry growth it is now more critical than ever for new professionals to understand the tenants of Deloitte’s Trustworthy AI Framework regarding transparency of operations, responsibility and accountability, and implementing proper security systems (Westcott 2023).

Artificial intelligence has already made its claim to the future and shown the importance of creating post-secondary experiences that acknowledge and utilize AI to broaden future student prospects by way of data clouds, indexing software, and cybersecurity risk mitigation. As the New York Times puts it, “artificial intelligence is here- and it’s bringing new possibilities with it” the question being what students who aim for future careers in any industry are to do with such technology (2018). From job prospects to everyday use, the education system would be remiss if it did not allow students to fully access and comprehend the assistive nature of new tech. By providing nurseries and safe cyberspaces to cultivate learners who can keep up with technological changes and students who can future-proof their careers in a evolving world.

 

 

 

Works Cited

Adams, R.L. “10 Powerful Examples of Artificial Intelligence in Use Today.” Forbes, Forbes Magazine, 12 Oct. 2022, https://www.forbes.com/sites/robertadams/2017/01/10/10-powerful-examples-of-artificial-intelligence-in-use-today/?sh=61a449bb420d.

Alabdulkarim, Yazeed. “Blockchain Has High Potential but Be Aware of Cyber Threats.” World Economic Forum, 21 Feb. 2023, https://www.weforum.org/agenda/2023/02/blockchain-has-high-potential-but-beware-of-cyber-threats-8642651f20/.

Buhler, Konstantine. “How AI Affects Employment.” Forbes, Forbes Magazine, 18 Feb. 2021, https://www.forbes.com/sites/konstantinebuhler/2021/02/18/how-ai-affects-employment/?sh=2be468fe7385.

“Cloud Computing Services – Amazon Web Services (AWS).” Aws, Amazon, https://aws.amazon.com/.

Faia, Ester. “Here’s How Automation and Digitalization Are Impacting Workers.” World Economic Forum, 30 Jan. 2023, https://www.weforum.org/agenda/2023/01/automation-and-digitalization-impacting-workers-technology/.

Gottsegen, Gordon. “21 Machine Learning Examples and Applications to Know.” Built In, 22 Feb. 2023, https://builtin.com/artificial-intelligence/machine-learning-examples-applications.

Greenberg, Andy. “A Mysterious Hacker Group Is on a Supply Chain Hijacking Spree.” Wired, Conde Nast, 3 May 2019, https://www.wired.com/story/barium-supply-chain-hackers/.

Hao, Karen. “Big Tech’s Guide to Talking about Ai Ethics.” MIT Technology Review, MIT Technology Review, 12 Apr. 2021, https://www.technologyreview.com/2021/04/13/1022568/big-tech-ai-ethics-guide/.

The New York Times. “How Artificial Intelligence Is Edging Its Way into Our Lives.” The New York Times, The New York Times, 12 Feb. 2018, https://www.nytimes.com/2018/02/12/technology/artificial-intelligence-new-work-summit.html.

“Salary: Cyber Security Analyst (March, 2023).” Glassdoor, https://www.glassdoor.ca/Salaries/cyber-security-analyst-salary-SRCH_KO0,22.htm.

Stahl, Ashley. “How Ai Will Impact the Future of Work and Life.” Forbes, Forbes Magazine, 9 Nov. 2022, https://www.forbes.com/sites/ashleystahl/2021/03/10/how-ai-will-impact-the-future-of-work-and-life/?sh=5c7683c379a3.

Verma, Raj. “What’s ‘Modern Data’ and How Can It Be Used to Help Vulnerable People?” World Economic Forum, World Economic Forum, 7 Dec. 2022, https://www.weforum.org/agenda/2022/12/fourth-industrial-revolution-technology-data-and-time/.

Westcott, Kevin. “Deloitte Brandvoice: Modeling Trust: AI and the Technology, Media and Telecommunications Industry.” Forbes, Forbes Magazine, 23 Feb. 2023, https://www.forbes.com/sites/deloitte/2023/02/22/modeling-trust-ai-and-the-technology-media-and-telecommunications-industry/?sh=5c81ccc6346d.

“Wild Me.” Wild Me, Microsoft, https://www.wildme.org/.

Leave a Reply

Your email address will not be published. Required fields are marked *

Skip to content