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TechBrew - AI & MAchine Learning - Business Today or Future?

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Date: 22 March 2018
Time(s): 1900-2100
Venue: 4 Dame Lane, Dublin 2
'TechBrew - AI & MAchine Learning - Business Today or Future?' image

Run by Technology Ireland, TechBrew is an informal gathering of software company management and technology leaders, getting together to chat over a bite and a beer.

The MC for the night is Donagh Kiernan, Tenego Partnering & is sponsored by the Technology Ireland Software Skillnet.


"AI & Machine Learning - Business Today or Future?" 

What's Real Business, What's Hype and What's Next? 

For leaders, investors and advisors in tech companies: Founders, Advisors, Mentors, Programme Leaders, Investors or anyone supporting the growth of the Technology Sector

  • Where does Artificial Intelligence (AI) and Machine Learning have a role in your solution space today or in the future?
  • What is the real customer benefit experienced today that customers are actively paying for?
  • Are we still in an Innovator or Early Adopter market for AI & Machine Learning? OR When can we expect real applications to be mainstream?
  • OR what AI / Machine Learning business applications are mainstream?
  • How is AI / Machine Learning applied in Social Media, Big Data etc? 

Hear from 4 speakers and open discussion covering views from Experienced Tech CEOs, Startup and Early Stage Tech CEOs, former Tech Startup founders, Private Investors and more...

Speaker 1. Bart Lehane Ph.D., Co-founder and CTO of EdgeTier

Bart has over 12 years of experience in the areas of applied research, software, and product management and he has held senior roles across a range of industries. At EdgeTier, Bart is responsible for building and commercialising analytics products for the customer support industry, including EdgeTier's flagship 'Arthur' product which uses a mix of AI and automation to improve the efficiency of customer support teams.

Speaker 2. Dr. Brian Mac Namee, UCD

Brian co-founded the Applied Intelligence Researcher Centre in DIT and developed DIT's successful MSc in Computing (Data Analytics) programme. In 2015 Brian joined the UCD School of Computer Science as a lecturer where he is a Principal Investigator at the CeADAR centre and a Funded Investigator at the Insight centre. Brian's research focuses on machine learning, predictive analytics, data visualisation, and augmented reality. Brian has published extensively in machine learning, predictive analytics, and information visualisation - a recent highlight is the textbook "Fundamentals of Machine Learning for Predictive Data Analytics: Algorithms, Worked Examples and Case Studies" published with MIT Press in 2015 (

Speaker 3. Alessandro Prest, Co-founder and CTO of LogoGrab

LogoGrab is an Artificial Intelligence platform that tracks the presence of brands on billions of online pictures.

Alessandro has covered several research positions in international institutions and industries delivering A.I. solutions that span from quality control for the semiconductor industry to detecting cats on YouTube.

He received a Google-funded Ph.D. in Computer Vision from ETH Zurich in 2012 and a M.Sc. cum laude in Computer Science from the University of Udine in 2007.

Speaker 4 Dr Moises Sanchez, Data Scientist -Tech Lead IBM Innovation Exchange Moises has 10 years' experience in machine learning and data mining software engineering and research. Prior to joining IBM he spent three years as a postdoctoral researcher and later as a research scientist at University College Dublin (UCD) working on the Ireland-Wales INTERREG research project Smart Coast. The project's objective was to predict the levels of pollutants in the sea in real-time.

Moises studied for his B.Eng. at University of Guanajuato, Mexico. He implemented an interface for the GPS receiver Motorola Oncore, and after finishing his thesis was awarded a full scholarship from the Mexican National Council of Science (CONACYT) to study an M.Eng in digital signal processing. He then worked on analysing digital mammographies to detect clusters of micro-calcifications to help diagnose breast cancer at an early stage. After finishing this application Moises was granted a new full scholarship to study his PhD in machine learning and data mining at Cardiff University in the UK. Moises has published several research papers and presented his work in conferences at an international level. Moises' current role is mainly within the ALIVER project; the goal of which is to develop predictive models to determine the recovery path of Acute Liver Disease patients. 

Booking Conditions;

Attendance is free, but booking is essential via This is an amber event - capacity is limited & priority will be given to technology companies.

 ***Only after an confirmation email has been received is your booking request confirmed.

For all queries on the event, please call the event organiser:
Aisling McNiffe, Tel: +353 1 6051656