Name: #LondonAI Meetup with SK Reddy, Josh Warwick & Cheuk Ting Ho
Start: 2018-03-12T18:00:00Z
End: 2018-03-12T21:00:00Z
Location: Microsoft Reactor

We are pleased to announce our first London meetup this year with SK Reddy, Josh Warwick and Cheuk Ting Ho. SK kindly agreed to give a talk at our event during his short trip to London in March. Many thanks to João, Claire and their colleagues from Microsoft, we have an excellent venue for the meetup. As usual, we will start with pizzas and drinks at 6pm so please come early if possible.

- 6 - 6:30pm - Doors open + Pizza + Drinks + Networking

- From 6:30pm

- Talk 1 by SK Reddy (45 mins)

- Short Break

- Talk 2 by Josh Warwick (20 mins)

- Talk 3 by Cheuk Ting Ho (20 mins)

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Talk 1: A treatise to adopt AI in organizations by SK Reddy

Abstract:

Artificial Intelligence (AI) is transforming industries. Many CXOs have realized the benefits of AI and many of them want to take the organization towards AI.

Here are some questions some have. What is AI? How to prepare to understand AI better? Does my org. need AI? What “components” of AI do I need? How to get talent? How to upgrade the skills of my current team? What challenges can I work on? Do I need the help of consultants? What hardware and software additions do I need to make to my infrastructure? What are the stumbling blocks? How did other orgs do? What are the Dos and Don’ts? Will people lose jobs? How do I manage communication with my teams? How to find “message block holes” in my org?

These are some of the question CXOs and the organizations are struggling to answer. I would like to discuss practical approaches to cross the chasm of AI. I will also share some examples and checklists that could be used by orgs. I will try to layout a practical approach on how organizations can transform.

Audience:

This is for those CXOs, executives and practitioners that are interested in AI. This will also help organizations set up the right AI strategy.

About SK:

SK is the Chief Product officer AI & ML in Digitalist Group (www.digitalist.global). He is an AI and ML expert and a successful twice startup entrepreneur. He is an AI start-up advisor. Also he is a frequent speaker in conferences and meetups. Additionally, he is a ML/NLP blogger.

LinkedIn: http://www.linkedin.com/in/sk-reddy/
Blogs: http://www.linkedin.com/in/sk-reddy/detail/recent-activity/posts/
YouTube Video: https://www.youtube.com/user/skreddy99/videos

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Talk 2 by Josh Warwick

Abstract:

Machine learning has been cropping up more and more up news articles over the past few years. Most of the time in a click-baiting manner. This is catalysed by high profile figures talking about machine learning philosophy, such as inteligence singularities, which creates more confusion for the media. Whilst this great for the publicity of the field, we are unfairly representing what is possible with this, still amazing technological advancement. This talk looks at how we can improve the way we communicate about machine learning in a more objective and representative way - and still maintain the hype.

Josh's bio:

I'm a developer working to deliver top quality engineering at startup speed with Theodo, a London/Paris startup. We are a lean tech team for hire among startups and large corporates alike - launching MVPs using the latest open source technology. We are tech stack agnostic, working with the highest quality tools for specific product needs, using lean and agile methodologies.

Personally, I'm interested in natural language processing and production machine learning systems. Aside from the AI, I have interests in formal verification, concurrent systems and web development.

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Talk 3: From Shakespeare to Trump: AI that Talks with Attitude by Cheuk Ting Ho

Abstract:

One main application of AI (artificial intelligence) is in NLP (natural language processing) which allows the machine to understand neutral languages and learn a lot from context of texts. With tools like Keras (using Tensorflow as backend) we can build a neutral network with only 3 layers (Embedding, LSTM, Softmax output) in order to "teach" a machine to generate articles, plays or speeches in the style of the training corpus and have lots of fun. Will it be like a Shakespearean actor in one instance and talk like Trump in another? How well is the AI against human in writings now and in the future? How creative could an AI be?

About Cheuk:

With a research background in theoretical physics, Cheuk has transferred her analytical and logical skills in natural science and built a career in Data Science. Cheuk is now a Data Scientist which has broad experience with time series forecasting including ARIMA and Holt-Winters models and machine learning like neural network and deep learning. Interested in NLP, Cheuk is also familiar with RNN, Attention model using bidirectional LSTM, GRU etc. Cheuk has also actively contribute to open source projects like Pandas, Gensim and Dateutil. Believing in gender equality, Cheuk is currently a co-organizer of AI club for Gender Minorities to support Tech Diversity and Inclusion.

Twitter: @cheukting_ho

Linkedin: https://www.linkedin.com/in/cheukting-ho/

Jo-fai Chow

London Artificial Intelligence & Deep Learning

Technology

Artificial Intelligence Applications

Artificial Intelligence

Open Source

Software Development

Big Data

Machine Learning

Data Analytics

Predictive Analytics

Machine Learning Interpretability

Data Science

Automated Machine Learning

Deep Learning

New Technology

Natural Language Processing

#LondonAI Meetup with SK Reddy, Josh Warwick & Cheuk Ting Ho

Microsoft Reactor

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London Artificial Intelligence & Deep Learning

#LondonAI Meetup with SK Reddy, Josh Warwick & Cheuk Ting Ho

London Artificial Intelligence & Deep Learning

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