Artificial Intelligence and Big Data Management

London Metropolitan University
London, England, United Kingdom
Senior Lecturer
(1)
3
Timeline
  • February 15, 2024
    Experience start
  • April 29, 2024
    Experience end
Experience
1/5 project matches
Dates set by experience
Preferred companies
Anywhere
Any company type
Any industries

Experience scope

Categories
Artificial intelligence Data analysis
Skills
evaluating skills, analytical skills, critical analysis skills
Learner goals and capabilities

The business world is currently undergoing profound technological change. Digitalisation has reached new heights and new technologies are helping tackle ever more tasks that are complex. This trend is driven in particular by the availability of large quantities of data – big data (BD) – and by the improved opportunities for using this data through artificial intelligence (AI). The relevance of BDAI is growing as technology, companies, and consumers interact. First, current technological progress facilitates the extensive and practical use of BDAI. Second, companies are increasingly relying on data and the value they extract from it to optimise their business models and processes. Third, consumer behaviour is increasingly shaped by digital applications, which in turn boosts the generation and availability of data. As such this module focuses on the relevance and management of BDAI in business context. This module also focuses on how to lead successful BDAI initiatives by prioritizing the right opportunities, building a diverse team, shaping the strategies and strategic experiments and continuously managing business solutions to benefit the organizations as a whole.

Learners

Learners
Undergraduate
Any level
21 learners
Project
20 hours per learner
Educators assign learners to projects
Teams of 5
Expected outcomes and deliverables

Deliverables are negotiable and will align the needs of the business with the learning outcomes of the students.


Deliverables could include:


  • a final presentation
  • a report
Project timeline
  • February 15, 2024
    Experience start
  • April 29, 2024
    Experience end

Project Examples

Requirements

Companies managing data needing solutions involving AI

Additional company criteria

Companies must answer the following questions to submit a match request to this experience:
  • question 1

    Can you confirm your willingness to provide feedback to students through the Riipen platform using the platform's feedback tools? This is a crucial aspect of the student learning experience, and your engagement in this process is highly valued.

  • question 2

    Is your project suitable for students under 18 years old? We have some students in that age group, and it's important to ensure that the project scope, company mission, products, etc., align with an audience under the age of 18.

  • question 3

    Do you require students to sign a Non-Disclosure Agreement (NDA) as part of their involvement in the project?

  • question 4

    [Optional] If an NDA is necessary, could you please upload the NDA agreement?