Examples and Considerations of Big Data Information Systems harnessing Machine Learning and Artificial Intelligence

A coursework / assignment that I’ve set for university students studying computing is to write a report that discusses the need for Information Systems in the modern world. The theme in question being: Big Data Information Systems harnessing Machine Learning and Artificial Intelligence.

The report should provide some background / context to the topic, explore the various components and architecture of the Information System, the associated Software Life cycle, the Tools / Technologies / Methodologies to hand and on through to Deployment.

The following is a list of some areas / systems they could consider. Do you have any other interesting examples that you could add in the comments section of a Big Data Information System that makes use of ML & AI tools / techniques?

Formula 1 Real-time Telemetry Data AnalysisMRI Image Analysis
NASA James Webb Space TelescopeEarthquake Early Warning Systems
BOINCHuman Genome Project
Search for Extra Terrestrial IntelligenceLive Face Identification System
Amazon AlexaUncovering the Past with LIDAR
Google AssistantSmart City, Real-time Traffic Analysis
Weather ForecastingMedical Diagnosis
Movie Recommendation SystemsSurface and Subsurface Analysis of Hydrocarbon Potential in the Oil & Gas Industry
Music Recommendation SystemsSentiment Analysis in Social Media
Self Driving VehiclesAutomated Warehouse
Crime PredictionSmart IoT Enabled Retail Shop
Smart Patient Monitoring & Analysis with Bio-medical SensorsCERN Large Hadron Collider
Humanoid Robot (Boston Dynamics)Humanoid Robot (Tesla)

Some of topic areas above may benefit from consideration towards Ethics, Data Protection / GDPR, would such elements also be useful / key things that could/should be given all due consideration in a report exploring Big Data Information Systems. Many interesting considerations can be found in the ACM Code of Ethics and Professional Conduct (poster) (booklet). Do add your thoughts in the comments section.

Do you have any interesting thoughts on the realm of High Performance Computing (HPC) in the form of C / Fortran MPI operations vs the world of Cloud Computing Services, Graphical Processing Unit (GPU), Tensor Processing Unit (TPC) or Quantum Computing? Again would be interesting to hear your thoughts in the comments section.  

Would Explainable AI be of particular importance, particularly with areas such as Medical Diagnosis? Once again comment below on your insights with regard to the need for Explainable AI?

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Kainos AI Camp and Hackathon Birmingham 2019

As was the case last year, Kainos once again ran a two week AI Camp in Birmingham, taking place 9th – 21st September 2019, with around two dozen participants from across half a dozen Universities taking part. The AI Camp was again hosted at BCU Computing. One of the key highlights of the AI Camp occurred in the second week, that being the AWS Deep Racer (online) (online).

The camp was capped off with a Hackathon event at Kaino’s Office in Alpha Tower which required the participants to work in teams to develop and idea making use of AI, implement and present same to a panel of Judges with a number of prizes being awarded. The following tweets below should give you a good sense of what the event was like.

AI Camp 2019 Summary
Kainos AI Camp and Hackathon – Week 2 Summary (online)
Kainos AI Camp and Hackathon – Week 1 Summary (online)

AI Camp 2020 Registration
If you wish to participate in 2020 then you can register your interest (online).

Kainos AI Camp and Hackathon – Week 2 Summary

This post gives some idea of what the final week of the Kainos AI Camp and Hackathon was like. The start of the second week commenced on Monday morning by reviewing what was explored the following week. A number of people from Kainos also attended in order to capture some interviews and video of the AI Camp in action. Around the middle of the week Kainos’ CTO Tom Gray (online) visited to give a talk about the company followed up by a Q&A session. During the final two days of the week two further tutors took part to explore the world of computer vision.

A day long Hackathon took place on Saturday 15th with teams consisting of two to three people developing some really excellent and interesting ideas. The hackathon concluded with all teams presenting their work to a panel of Judges, with some really great and fun prizes available to the winning teams along with a number of individual prizes as well. The previous day – Friday 14th Sept, the participants spent much of the day thinking of the ideas for the hackathon, getting into teams, and exploring the possible data sets they could use. It was really great to see the amount of in-depth detailed discussion and enthusiasm that electrified the room with creativity. A huge shout out to all the tutors must be given particularly to Chloe (online) and Jake (online) who ran most of the two week event.

The tweets below should help to give you a good sense of what Week 02 was like along with the capstone Hackathon event.

Summary of Week 01 (online).

Social Media Feeds
Kainos (online)
Kainos Academy (online)
Kainos CTO – Tom Gray (online)
AI Camp Tutor – Chloe Thompson (online)
AI Camp Tutor – Jake Young (online)
AI Camp Tutor – Mary-Jane (online)
AI Camp Tutor – Liam Ferris (online)
AI Camp Co-ordination – Don Le (online)
Guest Speaker (Convolution Neural Networks) – Alan Dolhasz (online)
Guest Speaker (AI & the Media) – Kari Lawler (online), Youth4AI (online)
BCU Computing (online)
AI Camp Hashtag (online)

AI Camp Week 02 in Tweets
The following embedded tweets below should give you some sense of what the second week of the AI Camp was like along with the final Hackathon event that took places at Kainos’ Offices located at Alpha Tower (online), Birmingham.

Kainos AI Camp and Hackathon – Week 1 Summary

Over the first two weeks of September 2018 Kainos has been running a AI Camp and Hackathon event (online) hosted at BCU Computing. The AI Camp schedule runs from 09:00 to 17:00 Monday to Friday over the two week period, with a final Hackathon taking place on Saturday 15th Sept at Kainos’ office located in Alpha Tower, Birmingham. Around twenty of those who signed up were selected to participate in the AI Camp and Hackathon. The group consisting mainly of Computer Science / Computer Science and AI undergrad students along with some from Physics as well, spans a number of university institutions across central England.

Just prior to this event another had been held in Belfast during the last two weeks of August with the final Hackathon taking place on Saturday 1st September. That left the tutors running the AI camp with just the Sunday to get packed and fly to Birmingham to get going again first thing on Monday morning with the second instance of the camp.

Social Media Feeds
Kainos (online)
Kainos Academy (online)
AI Camp Tutor – Chloe Thompson (online)
AI Camp Tutor – Jake Young (online)
AI Camp Co-ordination – Don Le (online)
Guest Speaker (Convolution Neural Networks) – Alan Dolhasz (online)
Guest Speaker (AI & the Media) – Kari Lawler (online), Youth4AI (online)
BCU Computing (online)
AI Camp Hashtag (online)

AI Camp Week 01 in Tweets
The following embedded tweets below should give you some sense of what the first week of the AI Camp was like.