The University of Arizona is tracking freshman students’ ID card swipes to anticipate which students are more likely to drop out. University researchers hope to use the data to lower dropout rates. Since every students has an ID with an embedded sensor, it is easy to track. The card data tells researchers how frequently a student has entered any building on campus/ buys anything.
With the data, the university creates lists every quarter of freshman students most likely to drop out and shares it with its staff. The hope is that the university will pinpoint which students need more support from advisers to stay on.
The University of Arizona’s retention rates in 2017 rose to 86.5 percent for residents and almost 89 percent for international students.
Still, algorithms can sometimes be wrong and biased.
It could be argued that this level of analyzing students’ social interaction data, which includes timestamps and locations, potentially violates students’ privacy. Is it necessary for schools to track student drop out rates to offer support? Do you think all schools should do this?
As digitization changes the way the majority of the world’s employees work together, CIOs must learn how to structure their teams, budgets, and reporting lines accordingly. Traditionally, IT teams would form within discrete parts the IT function (like Applications, Infrastructure, or Enterprise Architecture). Now “fusion teams” are needed to cut across domains, business areas, and channels, and to do so at short notice because a traditional model is hand-offs and fails to integrate technical and business expertise leads to duplicated effort and missed deadlines throughout the process.
The emerging fusion-team structure differs from existing models in four ways.
- Fusion teams form across traditional boundaries: These teams intermingle staff from different functions, business lines, and third-party partners.
- Fusion teams integrate business and technical skills: Team members are expected to contribute both technical skills and business skills.
- Fusion teams deliver technology via continuous collaboration: These teams are more likely to use an iterative delivery structure.
- Fusion teams draw leaders from across the enterprise: Team members report to leaders who sit outside their function or outside their established reporting line.
Do you think companies should re-structure their IT to fusion teams or continue to follow the traditional model? Do you know any companies that have fusion teams? Is it working for them?
Boston Consulting Group and MIT Sloan Management Review researched, Reshaping Business With Artificial Intelligence. The research found significant gaps between companies who have already adopted and understand Artificial Intelligence (AI) and those lagging. AI early adopters invest heavily in analytics expertise and ensuring the quality of algorithms and data can scale across their enterprise-wide information and knowledge needs. The leading companies who excel at using AI to plan new businesses and streamline existing processes all have solid senior management support for each AI initiative.
- 84% of respondents say AI will enable them to obtain or sustain a competitive advantage.
- 83% believe AI is a strategic priority for their businesses today.
- 75% state that AI will allow them to move into new businesses and ventures.
The research shows that AI will be the catalyst of entirely new business models and change the competitive landscape of entire industries in the next five years.
Do you agree with this? Should AI be adopted into more companies? What are some ways AI can benefit a company?