Teach me how : AI event series

Let us demystify Artificial Intelligence

Dec 12th, 2017 - July 10th, 2018
(8 part series delivered monthly)
In collaboration with
Teach me how : AI event series

Technology advances are reshaping business and society at a dizzying clip. Cognitive Computing or artificial intelligence (AI), robotics, big data, the Internet of Things (IOT) are intersecting are changing the way we work, think, and live, heralding digital transformation that is touching every industry. Leaders in the business and technology are being challenged to replace the repetitive and time consuming work, identify applications to build or buy that will enable you to capture the opportunity to reduce costs and drive revenue for the business.

In this 'teach me how' series, you'll learn about artificial intelligence and its useful features, including natural language processing and discover the power of machine learning and understand how to make the most of these technologies to deliver better data insights, customer experience, and more. At the end of the series, you will leave with a good understanding of how AI, cognitive computing, machine learning, Deep learning and IOT can transform data analysis and help make prediction cheaper with real-world examples of how companies and individuals are using these techniques (and related ones, like hybrid machine learning and deep learning.

Learning Objectives
  • Each session will provide an overview. Application of the specific technology in specific vertical industries along with a real world case study. Additionally the concepts presented will be demonstrated with a use case scenario and a demo
  • At the end of the series you will be able to articulate the differences between artificial intelligence, machine learning, and deep learning
  • Understand the Machine learning principles and how they differ from past techniques
  • Be able to further your knowledge on the practical applications of A
Who Should Attend
  • Business IT technologists
  • Industry Consultants
  • Technology Officers
  • IT Managers
  • Developers and IT Pros involved with developing and deploying AI technologies
Session Details Speaker Date
Session #
Unravelling Artificial Intelligence: An overview of AI, ML and Deep Learning

This session unravels the different technologies that are used to build AI Solutions. In today’s computational world, AI, ML and Deep Learning are very finely integrated concepts turning into reality. They relate to empowering the machines with the ability to think, collate, research, infer and even perform certain set of pre-defined functions on basis of set parameters. Keeping in mind the complexity of functions required to perform, we have machine learning that relies on algorithms to make data predictions. Deep learning is yet another offshoot of machine learning that interprets neural activity to process information and communication signals. Deep learning architecture has widespread application in areas of speech recognition, natural language processing, bioinformatics, computer vision and so on.

Both these learnings are nestled within artificial intelligence and shaping up well to offer mind blowing applications across every aspect of human life and activity in the coming times.

Janakiram MSV
Dec 12, 2017
Session #
Mastering ML: Setting up machine learning models

Indeed, it is a challenge to set up your machine learning model considering the magnitude of applications, data and assessment criteria available. You need to be very clear on many important factors viz. right infrastructure, right algorithm, right criteria and of course right assessment.

The model should be effective in locating the required perception from the available Big Data in a seamless manner. Also, the lifespan of the model should be taken into account. It is very crucial to remember that the model in using existing data to offer new data and new objectives. Hence the learning model needs to dynamic and high adaptable as well. Learn how to create a judicious blend of right algorithms, mechanisms and objective to ensure a viable machine learning model can be put in place.

Janakiram MSV
Jan 9, 2018
Session #
Redefining the crux of Conversational User Experience

Conversational User Experience has finally arrived mainstream. The top ones being Alexa, Cortana and Siri and of course, with many more in the pipeline. User Experience is but naturally at the core of most devices that involve human interaction, popular ones being tablets, mobile phones, laptops and so on.

What we are looking forward is an enhanced conversational user experience which is a step ahead than a simple input of alpha numeric characters in order to get a transaction done or accomplish a particular task.

In the bid to dish out an experience which is nearly on par with a normal human conversation, the principles of natural language processing, conversational interfaces within an application come to fore.

This session looks at the different Bot technologies available today and how they are being used to drive more interactive, easy solutions in different industries

Ashvini Shahane
Feb 9, 2017
Session #
Cognitive Computing: Blend of Computation and the Human Brain

Cognitive computing is considered to be the third era of computer generation, the first two being the tabulating era and the programming era respectively. Currently, cognitive computing technology is used in data analysis in healthcare, finance, education and even by the government.

The onset of AI has led to emergence of novel cognitive methodologies which take advantage of computational expertise. This genre of AI works to incite human thinking pattern through algorithms which further rely on natural language processing and data mining.  Thus, we have a computer program in place which functions just like a human brain.

This session looks at some of the Cognitive Analytics available including the Microsoft Cognitive Toolkit - CNTK.

Daniel Karuppiah
March 13, 2018
Session #
Cognitive Computing: Facial Recognition & Sentiment Analysis made meaningful

Considered as the third era of artificial intelligence, cognitive computing takes computing to the next level i.e. nearly on par with the thinking and processing capacity of the human brain. Cognitive computing has been made capable of dealing with symbolic data and concepts. Hence, facial recognition has become an integral component within the cognitive computing framework. Over the years, facial recognition has become extremely crucial from the business as well as the security perspective. The extent of computing analysis that goes into current facial recognition programs is far more superior to what a single human brain could deliver in minimal time frame.

Key attributes analysed extend beyond prime physical characteristics and are capable of detecting emotions such as fear, sadness, anger, happiness and much more. This session looks at how facial recognition along with sentiment analysis plays a key role in understanding consumer market and consumer behaviour to build more meaningful solutions in different verticals. It also looks at the technologies/APIs used to analyse and ascertain reactions and trends to make future predictions better and more concrete.

April 10, 2018
Session #
Cognitive Computing: Putting Text, Speech & Sentiment into action

Cognitive Computing is all about computer algorithms dealing with human behaviour and actions to come up rational analysis and predictions. As of now, natural language processing and sentiment analysis are being employed to perform translations between languages, conversion of speech to text, grammar correction and other related tasks.

Even today, for natural language processing, the most difficult challenge is to tackle the ambiguous nature of human language. The challenge here lies to review and interpret the words, phrases and above all, the languages used by human beings that could relate to a single idea or multiple ideas as accurately as possible. Interestingly, language is one of the first things which human beings learn that is used in varied forms and styles.

Today, we have speech recognition and text recognition interfaces that are effectively employed in varied sectors viz. aerospace, healthcare, IVRS, virtual assistance, court reporting, mobile telephony and many more. It has been extensively used in gauging trends across the digital space especially in social media.

This session looks at how Text and speech recognition within cognitive computing has come a long way considering human language and voice being the major source of data to build more meaningful and useful solutions.

May 8, 2018
Session #
Understanding Deep Learning

Deep learning technologies are at the core of the current revolution in artificial intelligence for multimedia data analysis. The convergence of large-scale annotated datasets and affordable GPU hardware has allowed the training of neural networks for data analysis tasks which were previously addressed with hand-crafted features. Architectures such as convolutional neural networks (CNN), recurrent neural networks (RNN) or Q-nets for reinforcement learning have helped us achieve near human level accuracy in areas like speech and image recognition.

In this session we will address the problem of Churn Prediction. Customer churn or losing customers has become one of the top issues for most businesses. It costs significantly more to acquire new customers than retain existing ones, and it costs far more to re-acquire deflected customers. A Churn Prediction model arms businesses with the insights to identify the high-risk “real” churn targets and eliminate the “other” churners such as bad payers. We will build Churn Prediction Models  twice - once using traditional machine learning approach and then again using Deep Learning. The contrasting methods will help understand the benefits of each approach.

Finally, we will provide a roadmap to learn Deep Learning technologies and its applications to various business problems.

Tarun Anand
Chief Technology Officer
June 12, 2018
Session #
AI and IOT: Machine Intelligence in the Enterprise

Two most prominent trends in technology in the recent times are artificial intelligence (AI) and the Internet of Things (IoT), not necessarily in that order. But in a rare convergence, in turns out these two trends are even hotter together.

As the rapid expansion of devices and sensors connected to IoT solutions continues, the volume of data being created is going to reach astronomical proportions and will hold valuable insights into what is working and what’s not. But it’s simply impossible for humans to review and understand all of this data with traditional methods, even if we cut down the sample size, it simply takes too much time. AI, is the engine or the “brain” that will enable analytics and decision making from the data collected by IoT. AI systems can rapidly consume vast quantities of structured and unstructured data, and give it meaning by creating models of entities and concepts, and the relationships among them. They generate hypotheses, formulate possible answers to questions, and provide predictions and recommendations, which can be used to augment human intelligence and decision making.

This combination of AI and IoT is manifesting itself in a wide variety of form and implementations in verticals and locations around the world. IBM’s Watson Internet of Things or Microsoft AI & IoT Labs just a few examples.

In this session we will understand how these two trends are transforming how people, devices and data interact in every sphere of life. It’s not just about cutting-edge technology, it’s about the digital transformation of industries and reshaping of businesses.

Nabajyoti Boruah
Lead Architect
July 10, 2018


  • Tarun Anand

    Tarun Anand, CTO & Founder Appice.io

    Tarun Anand is the CTO and Founder of AppICE.io. He is an avid technology enthusiast for the last 22 years. His dream is to build world class products from India. He completed his B. Tech in Computer Science from IIT Kanpur, and Masters in Computer Science from University of Texas at Austin. Tarun worked for Microsoft Corporation, Redmond and Microsoft India from 1995-2004.

    During his tenure at Redmond, he was on the design and development teams of several products like Windows NT, and 2000, DCOM, COM+, and most recently the .NET Common Language Runtime. Tarun has several US patents in the field of Distributed Computing Systems. At Microsoft India, Tarun was closely involved with evangelizing Microsoft technologies to startups and product/solution software vendors. He was awarded the "Worldwide Software Architect of the Year, 2003" award for his work at Microsoft.

    Currently Tarun is helping build AI based marketing automation at AppICE.io, industry’s first end to end deep learning marketing technology solution.

  • Janakiram MSV

    Janakiram MSV, Analyst

    Janakiram MSV is an analyst, advisor, and architect with a focus on emerging technologies. He works closely with technology platform companies, startups, ISVs, and enterprises advising them on technology strategies. As a practitioner working with a diverse customer base across the domains of IoT, microservices, DevOps, and SaaS, Janakiram gains insight into the challenges involved in enterprise technology adoption. His research and analysis sets out to help customers make the right decision in choosing the right platform.

    Janakiram is an Amazon and Microsoft certified cloud architect, as well as a Google Developer Expert and Microsoft Regional Director. He is a Certified Kubernetes Administrator and an Ambassador for The Cloud Native Computing Foundation. Janakiram is also an active contributor at Gigaom Research, Forbes, The New Stack, and TechRepublic, and teaches Big Data, Cloud Computing and DevOps as guest faculty to students enrolled in the master’s program at the International Institute of Information technology at Hyderabad (IIIT-H).

  • Nabjyoti Boruah

    Nabjyoti Boruah, Lead Architect Synergetics

    Nabajyoti Boruah, AVP Technology at Synergetics IT Services India, and has 15+ years of experience with SOA, .NET and SQL Server. 4+ Years of experience with Microsoft Azure, PHP, MySQL, Python, Node JS, Angular JS, Xamarin and REST APIs. He has helped 148 customers with POC development in order to migrate their existing on-premise application to Microsoft Azure in various technologies and platforms including open source. Mentored junior engineers in best practices for coding, testing and automation processes. He has worked with software developers, quality engineers, and system engineers to define tools, automation components, processes and implementation to support Agile development

    Nabajyoti has specialized and honed solution skills on Application Modernization, Business Continuity and Disaster Recovery (BCDR), Hybrid Networks, storage and Identity, Analytics with HDInsights Machine Learning and IoT on Azure.

  • Ashvini Sahane

    Ashvini Sahane, Lead Architect Synergetics

    Ashvini Shahane is President of Learning Services at Synergetics IT Services India, and has 20+ years experience as a Software Professional, providing Architectural consultancy and training on various platforms like .NET, SQL Server, SharePoint Server and Microsoft Azure Cloud. She has been working extensively with Microsoft in India to help enable their SI Partners and their respective teams on Microsoft Azure platform and solutions. She has been engaged with the Sales, Pre-Sales, Developer, IT Pro and Architect teams in these partner organizations helping them understand and effectively sell and build solutions on Microsoft Azure.

    Ashvini has also  managed the Engagement and Delivery of ISV Partnership Program, involving engaging with ISVs, and helping them re-architect, implement and migrate products and solutions in various verticals like HealthCare, Retail, Manufacturing, Government to the Azure Cloud. Ashvini has specialized and honed solution skills on Data Center Modernization, Application Modernization, Business Continuity and Disaster Recovery (BCDR), Hybrid Networks, storage and Identity, Analytics with HDInsights and Machine Learning on Azure.

  • Daniel Karuppiah

    Daniel Karuppiah, Lead Architect Synergetics

    Daniel I Karuppiah is a highly accomplished business leader with 20+ years of experience in product management and product planning,. Daniel last role at Microsoft was driving the Open Source strategy on Microsoft Azure. He had helped more than 100 enterprise customers in helping design their cloud strategy and successfully deploy open source applications on Azure. This involved partnering with Big Data vendors, IOT vendors and OS vendors to successfully integrate their products in the Azure marketplace. Additionally he a technical advisor for couple of startups, who are developing products in the Artificial Intelligence space