Event Type Seminar
Inaugural Salford Professorial Lecture: Professor Mo Saraee In the modern world, data powers everything that we do. From the dawn of civilization through
Inaugural Salford Professorial Lecture: Professor Mo Saraee
In the modern world, data powers everything that we do. From the dawn of civilization through to 2003, 5 exabytes of information were created. In 2020, this colossal amount of information is created every 2 days! Data Science is transforming this ocean of data into a sea of knowledge.
The excitement in data science is in the journey towards achieving three significant kinds of results: discovery, insights, and innovation. In this inaugural lecture Mo Saraee, Professor of Data Science, will discuss the contributions and impacts made by data science and big data to humanity and businesses.
Can Data Science help prevent poverty?
Can it help to prevent crimes before they happen?
Can it drive driverless cars?
Can it assist with grief and mental health?
Can it help cities better prioritize limited resources to improve lives of citizens and achieve equity?
While the potential of Data Science and Big data is enormous, turning this potential into tangible social, technical and economic impact, takes cross-disciplinary training; new methods; scalable data and a computational infrastructure. Professor Saraee will also discuss lessons learned from working on a number Data Science projects over the past few years and highlight the opportunities, as well as challenges faced in this amazing field.
Held virtually on Microsoft Teams Live at 1pm – please register to receive the Live event link. This will be emailed to you the day before the event.
Virtual Event Details
(Thursday) 8:00 pm - 9:00 pm PST
Get a comprehensive overview of the modern AI technologies and applications so that you can be savvy consumers of AI products and services. We will cover: 1. What is AI? -
Get a comprehensive overview of the modern AI technologies and applications so that you can be savvy consumers of AI products and services.
We will cover:
1. What is AI?
– AI is a Tool
– AI in our daily life
2. Why AI now?
– Transformation trends
– Jargon demystification
– Traditional programming vs machine learning
3. Getting to AI
– Types of machine learning – supervised and unsupervised
– Common problems AI can solve
4. What AI cannot do
– Limitations of AI
– AI and Ethics
5. Building an AI system
– Example of an AI and machine learning (AI/ML) process
6. AI, Jobs and you
– AI, tasks and jobs
– AI and data science talents
7. Modern AI apps
– AI is just Maths!
– Linear regression
– Applications of AI and Deep learning
– Computer vision, natural language processing, speech-to-text
8. Are you ready for AI?
Virtual Event Details
(Friday) 2:00 pm - 5:00 pm PST