Artificial Intelligence and Machine Learning Summit 2020

DATE:July 24,2020

TIME: 14:00 IST / 09:30BST / 18:30 AEST / 16:30 ACT(3HOURS)



Artificial Intelligence and Machine Learning have become one of the hottest topics in business. The AI & Machine Learning Summit has been designed to help business and technology executives cut through the hype and learn how intelligent technologies are being successfully deployed to build competitive advantage, drive new business opportunities, reduce costs and accelerate innovation efforts.

With the uncertainty over the complete lifting of the lockdown, at UNICOM, we have devised a virtual event and have spread out the programme over a day for around three hours. These sessions are in an interactive format, providing a digital experience of a physical conference for all remote attendees. Here delegates actively participate, communicate through Q&As, network with peers and panellists during the sessions and intervals respectively.


  • The future of AI and its impact on industries
  • Fundamentals and applications of machine learning and deep learning
  • Pattern classifiers, Natural Language Processing (NLP) and AI
  • Delivery Pipeline - Components and Best practices
  • Sentiment scores combined with neo-classical models of finance
  • Behavioural and cognitive science
  • Cognitive Computing in Finance
  • Applying AI to Complement Decision Making
  • Leveraging Social Media, AI and ML for Market Decisions
  • Deep Learning and Ensemble Methods for sentiment analysis
  • AI, Machine Learning and Sentiment Analysis Applied to Consumer Markets
  • Natural Language Understanding in the Era of Deep Learning
  • A study on Sentimental Analysis for Better Consumer Markets with reference to Modern Technology
  • Artificial Intelligence – The journey in a nutshell and what lies ahead
  • Blowing Bubbles: Quantifying How News, Social Media, and Contagion Effects Drive Speculative Manias
  • Application of NLP and ML in Building AI Solutions



14:00 IST / 09:30 BST

Ravi Ramaswamy

Ravi Ramaswamy, Sr. Director & Head - Health Systems, Phillips

Topic Abstract

14:25 IST / 09:55 BST

Richard J Self

Richard J Self, Senior Lecturer in Advanced and Emerging Technologies, University of Derby, UK

Topic Abstract

Big Data and Analytics has been promoted for most of the 21st century as the answer to all business and organisational problems; the magic silver bullet; the basis for digital transformation that will lead all organisations to greater levels of success; the Artificial Intelligence and Machine Learning that will provide all the answers to fighting the new pandemic.

However, as we all know, these hyped promises have not often proven true. The current Covid-19 pandemic is teaching us many lessons about the limits of our analytical and predictive models, the importance of testing all the assumptions about the data feeding these models. We are learning about the governance and ethics of data collection via apps. We are learning lessons about the dangers of relying too heavily on our technology rather than on human insights.

This presentation will explore some of the most important lessons about big data, modelling and analytics from the Covid-19 pandemic .

14:50 IST / 10:20 BST

Richard J Self

Sangram Sabat, COO,

Topic Abstract

Despite his brilliance, Alan Turing couldn’t predict how easy breaking his famous Turing Test (proposed in 1950) would become and how far from ‘true intelligence’ the machine that passed it would be!

Natural Language Processing with Deep Learning is being used from startups to tech giants from augmenting user experience to solving accessibility problems at a nation-wide scale. From Internal Operations to Customer Interactions, NLP in AI is already expected to result in about $430 Bn in productivity gains by 2020.

Many solutions like document translation, sentiment analysis, text analytics, etc. have become sophisticated enough to cater to the needs of the industry. For solutions that are the most promising though, like Virtual Assistants, the technology i.e. Conversational AI is yet to produce any real value and resembles mostly Narrow AI.

We have come a long way from just paraphrasing input text for producing credible-looking responses, as with ELIZA, rather than actually understanding language. Things have now changed with the advent of Deep Learning, and other enablers like faster compute and ferocious growth of data. However, incumbent technology is either far from being sophisticated or yet has a long journey to traverse from labs to real world enterprise environments. Many solutions are unable to understand context, intonation, emotion and many other cognitive signals that we as humans generally communicate via text or speech. However, extracting such signals and boosting solutions with techniques like reinforcement learning could bring about a revolution.

Natural language processing will bring about numerous opportunities for companies from multiple segments. Apart from relatively intuitive ways such as document processing and bots, there are multiple other applications, like supporting journalism and research work. Again, when applied to multiple languages, natural language processing and associated technologies can break the barriers of intuitiveness and language to impact the digital landscape of language-diverse regions of the world. Since natural language is the best way to transfer information between humans and machines, the applications NLP makes possible will only increase and will soon be augmenting business processes and impacting the socio-economic landscape around the globe.

15:15 IST / 10:45 BST

Richard J Self

Sharath Kumar R K, Data scientist, IBM India Software Labs

Topic Abstract

In this session, I will give an overview of AI architecture and the components of it which includes deep learning, machine learning & natural language processing. A brief about different algorithms available in deep learning & machine learning which can aid NLP. The session will touch upon the importance & rise of NLP and the tasks associated with natural language processing like text classification, text summarisation, topic modelling, chat bots, sentiment analysis etc and how can NLP transform the AI solution by using ML. Preview & share the url with the audience which includes step by step documentation to implement some of the concepts associated with NLP. The session will cover how NLP & ML can help each other to create powerful combination which are used in different domains to solve difficult problems. After the session, the audience will be able to clearly distinguish between different methodologies & tasks associated with NLP and how it can add value to build an end to end solution using AI.

15:40 IST / 11:10 BST

15:45 IST / 11:15 BST

Suman Debnath

Suman Debnath, Principal Developer Advocate, Amazon Web Services

Topic Abstract

Deep Learning continues to push the state of the art in domains such as computer vision, natural language understanding and recommendation engines. One of the key reasons for this progress is the availability of highly flexible and developer friendly deep learning frameworks. And among all other deep-learning frameworks, PyTorch is becoming even more popular, especially for rapid prototyping of new models. In this session we will start from the basics of Deep Learning and shall dive into PyTorch using Amazon SageMaker, a fully managed service, to build, train, and deploy machine learning

16:10 IST / 11:40 BST

Rajeev Arora

Rajeev Arora, Co-Founder and CTO, Sensorise

Topic Abstract

One of the key challenges in understanding documents is to infer the context. This manifests itself in several forms. One of them is to learn all the possible contexts around a "topic" in a corpus. Feedback on “Room-Service” in hospitality industry may mean different things to different people or in different regions. It could be “about” food in room, amenities in the room, housekeeping or repairs in the room. In order to make improvements, hotel needs to understand all the context. In this talk, we will discuss approach based on a 3-Layer Cognitive model. A representation of Episodic and Semantic knowledge and how these representations can be used to infer information. Text mining problem can then be stated as a hypothesis. These hypotheses can be validated using appropriate algorithms. During the talk we will take the example of Topic Expansion to understand the concept.

16:35 IST / 12:05 BST

16:40 IST / 12:10 BST


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Past Sponsor

DATE: JULY 24, 2020

Time: 14:00 – 17:00 IST / 09:30–12:30 BST

(Please note the Time of the session has been chosen to cover APAC, Oceania, UK time zones to achieve global connectivity)




Confirm your CANCELLATION in writing up to 15 working days before the event and receive a refund less a 10% service charge. Regrettably, no refunds can be made for cancellations received less than 15 working days prior to the event.

However, SUBSTITUTIONS are welcome at any time and is done at no extra cost. The organisers reserve the right to amend the programme if necessary.

Important Disclaimer:The organizers reserve the right to make substitutions or alterations and/or cancel a speaker(s) if deemed necessary by circumstances beyond its control.

INDEMNITY: Should for any reason outside the control of UNICOM Training & Seminars (P) ltd (hereafter called UNICOM), the venue or the speakers change, or the event be cancelled due to industrial action, adverse weather conditions, or an act of terrorism, UNICOM will endeavour to reschedule, but the client hereby indemnifies and holds UNICOM harmless from and against any and all costs, damages and expenses, including attorneys fees, which are incurred by the client. The construction validity and performance of this Agreement shall be governed by all aspects by the laws of India to the exclusive jurisdiction of whose court the Parties hereby agree to submit.


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Are there any prerequisites to attend this program?


Do I need to register for the event?

Yes, you must register in advance to attend the event.

I am a student, can I attend the event?

Yes, although the event is predominantly for working professionals, you can register and attend.

Can I update or change my registration details?


Can a substitute log in to the conference if I am not available at the last moment?

Yes- With no additional cost