Date

May 23, 2019

Location

Bangalore

Capacity

100 Tickets

Speakers

8+ Professional Speakers

About the event

Artificial intelligence and machine learning have become one of the hottest topics in business. An army of startups has been funded to pursue the commercial opportunities, whilst the bosses of big companies increasingly look to implement AI strategies at scale.

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.

This conference and solutions showcase brings together the entire applied AI ecosystem, including innovative enterprises, industry thought leaders, startups, independent researchers and leading solution providers.


Trainings

Agile

UNICOM provides a broad range of Agile training courses from basic one-day Introduction to Agile through to accredited training such as Certified ScrumMaster. Conferences include the UK's premier Agile event the annual Agile Business Conference and specific Agile in Public Sector and Finance Sector conferences.

Big Data

UNICOM provides events and training in these areas that enable organisations to make better decisions the address topical issues such as Big Data, Sentiment Analysis, Analytics and KPIs. Also available are training courses in specific technologies such as Hadoop.

Cloud

UNICOM has been a prominent provider of software and systems Development and Testing conferences and training. Its events and training including popular certifications such as ISTQB and Certified ScrumMaster and courses address upcoming challenges presented by moving to Agile, DevOps and Mobile environments. Conferences include SEPG Europe, Agile Business Conference, ALM Conference, TestExpo and Next Generation Testing Conference

Event Chairperson

Dr Shankar Ramamoorthy

Customer Success Officer

HARMAN

Conference or Event Schedule

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Topic Abstract

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Stories of AI Failure and How to Avoid Similar AI Fails AND SUCCEED AGAIN

Starting a new AI project in 2019? Don’t fail prey to the hype. The new year will see a separation of the wheat from the chaff, and an AI fail at this stage could spell disaster for your project, team, and company. The author and speaker in this paper will discuss following failures

Fail: Microsoft’s AI Chatbot Corrupted by Twitter Trolls, Apple’s Face ID Defeated by a 3D Mask

Facebook had to shut down their “Bob” and “Alice” chatbots after the computers started talking to each other in their own language.

Artificial intelligence technologies cannot be built in isolation from the social circumstances that make them necessary,

This is a fantastic point. In the rush to stay ahead of the technology curve, companies often fail to consider the impact of their inherent biases. This is particularly dangerous for companies working in data analytics for healthcare, biotechnology, financial services and law.

Just look at Watson for Oncology: data bias and lack of social context doomed that AI project to failure and sent $65 million down the drain.

How to Get Real Value from Artificial Intelligence in 2019 Focus on solving a real business problem.

With the right business case and the right data, AI can deliver powerful time and cost savings, as well as valuable insights you can use to improve your business.

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Speaker Profile

Dr. Shankar Ramamoorthy is currently working as Chief Customer Success Officer at Harman Connected Services , helping the Software Enabled Business of Harman. He was earlier Quality Business Partner –at Amdocs. - where he evangelized and implemented 40 patented Test Management Framework machine using BI/Analytics.

Dr Shankar is a TQM ( Total Quality Management) professional, who has spent much of his 26-years career managing change and improving software Quality Engineering efficiency through Data and Metrics driven Quality Management Systems.

He believes in evangelizing , coaching and mentoring test teams through inspirational leadership.

Shankar has a vast experience in setting up Test COE( Centre of Excellence),and has successfully carried out 6 rollouts on TPI/TMMI/Test Maturity frameworks for several companies.

He has handled the entire gamut of testing landscape right from Pre- Sales, Sales, Delivery and instituted a process temper in his earlier assignments.

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Speaker Profile

I am passionate about how technology can transform business and I help conceive, plan and execute outcome focused technology initiatives. Specialties: Program Management, consulting, digital transformation

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Topic Abstract

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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.

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Speaker Profile

R K Sharath Kumar is a Data Scientist at IBM India software labs. He specialises in Data Mining, Machine Learning, Artificial Intelligence, Deep Learning, NLP & Cloud Computing. He has designed & built cognitive solutions for different domains. Sharath also specialises in leading and facilitating joint design workshops, architecture reviews, discovery workshops and business value assessment exercises primarily focusing on Cognitive Computing, Cloud and Smarter Infrastructure & Advanced Analytics.

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Speaker Profile

Vishesh is having more than 17 years of industry experience in institutionalising and delivering technical solution in analytics, bigdata, Robotics and conversational artificial intelligence.

Currently working in Concentrix as GM - Global Strategic Assets Area– Intelligent Process Automation and Conversational AI. Prior to that had worked in HP-Analytics, GENPECT, Bharti and ISOFT delivering solutions for Intelligent Process Automation, Analytics, Shared Services, Insurance/Reinsurance, Risk Assessment and Data Modelling, Telecom and Manufacturing etc.

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Topic Abstract

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We live in a world where consumers are often presented with a large number of choices across various platforms. Consumers are much more dynamic and hence understanding their ever-changing preferences is of utmost importance. Information needs for businesses are only increasing day by day to understand consumers and identify opportunities. There is a need to employ smarter tools to aid the job of marketer and consumer insight professional. Organizing large volumes of data from heterogeneous sources and building a semantic knowledge system can enable the discovery of competitive intelligence using machine learning. Explore how AI, Bigdata and domain knowledge can come together to build such one-stop knowledge shops.

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Speaker Profile

Sai is the Co-Founder & CTO of Spoonshot. A computer science graduate from IIT (Madras). He has more than 6 years of experience in solving the problems of search and discovery. He worked at Zomato, India's largest food ordering and restaurant discovery platform, as a Software Engineer in search, and re-built its search relevance and ranking models. Later he worked at Myntra, India's biggest online fashion store, as Senior Software Engineer, leading search and style services, working on various aspects, including scaling up its search infrastructure for high revenue days, developing personalized filters based on users fashion preferences, and also conceptualizing a generic search platform.

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This talk would cover about the following

  • Intro to AD and Levels of AD (Autonomous Driving)
  • Building blocks of AD ( ADAS Sensors)
  • AI Stack (End to End deep learning)
  • Challenges of AI algorithm training & testing

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Speaker Profile

18+ years of Rich experience in SW Development for Automotive and smart Phone products 9+ years of Leadership experience Building and scaling High Performing teams Championing the Innovation Programs

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Reinforcement Learning(RL) is one of the most popular research topics under Artificial Intelligence currently and it’s gaining momentum day by day. The session would go deeper into this goal-oriented learning which has immense potential in building large variety of learning algorithms for various applications.

We will compare RL with other Machine learning methodologies and take a look at recent RL advancements. In addition to it the session would also cover the applicability of RL in various industries where the proposed solution of some industry problems using RL would be highlighted

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Speaker Profile

Akshay is working as Product Manager in SAP, driving the backlogs of various integrations with SAP S/4HANA and has also worked to build couple of ML use cases. He is a technology enthusiast and have been working on various PoCs showcasing ML applicability in ERP. He is an active blogger and has spoken in various Internal & External events on several Functional as well as Technical topics including Machine Learning, Extensibility, Big Data and Integrations

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Topic Abstract

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There is a lot of unstructured text content that is generated in any domain – software development lifecycle, finance, healthcare, social media, etc. A number of valuable insights are missed when unstructured data is not analyzed. The unstructured data generated has increased exponentially in the digital world over the past decade. In order to have a competitive advantage with respect to decision-making, it is essential to extract all the important insights from unstructured data. The insights can be generated by analyzing unstructured text content and correlating the information across various document sources. This session will talk about a complete analytics solution that generates insights for informed decision-making using Watson Natural Language Understanding, Python Natural Language Toolkit, OrientDB, Node-RED, and IBM Watson Studio.

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Speaker Profile

Shikha is a Senior Software Engineer at IBM with 12+ years of experience. She focuses on delivering applications that showcase IBM's AI and Blockchain portfolio. She has worked in different domains and products in IBM. Currently working for IBM Digital Technology Labs as an AI and Blockchain SME. Her areas of expertise includes IBM Cloud, Blockchain (Hyperledger Fabric), NodeJS, Javascript and Unix Shell Script. She has authored a number of developer works articles and actively participates in local meet ups including Women Who Code, Women in Technology, Developer Connect. She has presented IBM in a number of conferences like AI Dev Days, ISTC etc.

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As we know success rate of AI project are very low, many usecases reach till successful PoC phase by creating ML model and desirable outcome based on sample data BUT moving them to production with real data starts coming from various sources ex, S3, ERP , Social media etc, And then challenges starts with change in model during training, accuracy in Inference goes down, versioning of dataset, model explain ability becomes important. This session discuss systematic approach to be taking for scaling AI use cases.

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Speaker Profile

Rahul Lodhe is the Senior Director for SAP Machine Learning / Analytics. In his current role, he is responsible for building Machine learning data intelligence platform for realizing / scaling AI and ML usecases. In the past he was responsible for conceptualizing and technical delivery of Leonardo accelerators working across IoT, Machine Learning, Analytics cloud and S4 applications. He was also responsible for development of TCO application for BOE and heading the Global Test center for the BI hybrid organization.

He has 16 years of experience in SAP and has worked across various departments in SLI and in multiple roles. His area of expertise  is the SAP Analytics portfolio, SAP ERP  and SRM (procurement)  areas.  Before joining SAP he has worked extensively in the Database Administration area. He has over 18 years of software industry experience in various companies like TCS, Indiamarkets and now SAP.

Rahul is passionate about driving innovation in products and quality. Having couple of patents on improvement product quality applications.

Sponsors

Benefits of sponsorship

This is a great opportunity to strategically brand your organization. As a sponsor, you will receive a tremendous amount of visibility and numerous other benefits at the conference.

Sponsorship Levels

Platinum Sponsor (Limited to 2)

Gold Sponsor (Limited to 3)

Knowledge Partner (Limited to 1)

Silver Sponsor (Limited to 4)

Bronze Sponsor (Limited to 4)

Conference Bag Sponsor (Limited to 1)

Track Sponsor (Limited to 2)

A-La-Carte (Open)

       

Brand Your Organisation (for startups)

Standard Price : Rs 30,000

You can also choose to strategically brand your organisation as per the below combo offer.

Package includes:

Full day attendance to the event

Website branding

Logo on brochure

Speaking Slot – 30 minute presentation slot or panel discussion (optional)

Name tag branding

Brochure inserts

Testimonials

Event Speakers

Dr Shankar Ramamoorthy

Customer Success Officer

HARMAN

Chiranth Ramaswamy

Senior Director

Capgemini

R K Sharath Kumar

Data Scientist

IBM

Vishesh Nigam

Strategic Assets Leader

Concentrix

Sai Sreenivas Kodur

Co-Founder & CTO

Spoonshot (Techstars company)

Bhanu Prakash P

Head of Advanced Engineering R&D

ADAS Continental

Shikha Maheshwari

Lead Developer

IBM

Lakshmi Narasimhan

Manager - Consulting

Intel

Rahul Lodhe

Director

SAP Labs

Event Price list (23rd)

Conference

Super Early Bird : Rs 7000 + GST
(Till 23rd March 2019)
Early Bird : Rs 8000 + GST
(Till 23rd April 2019)
Standard Price : Rs 9000 + GST
(Till 23rd May 2019)

Brand your Organisation (for startups)

Standard Price : Rs 30,000 + GST

You can also choose to strategically brand your organisation as per the below combo offer.

Package includes:

Full day attendance to the event

Website branding

Logo on brochure

Speaking Slot - 30 minutes presentation slot or panel discussion (optional)

Name tag branding

Brochure inserts

Please mail us : contact@unicomlearning.com

Event FAQS

Artificial Intelligence & Machine Learning 2019 in Bangalore is open to anyone who has an interest in the technology/telecoms industry, Artificial Intelligence, Machine Learning, Sentiment Analysis or any related field.

No

Yes, all conference attendees must register in advance to attend the event.

A. As this is predominantly an event for the Blockchain, if you are interested in attending. Please note that there will be a charge to attend as a student(can avail special discount as a student).

Yes

Please fill the below details of your colleague and send us an email block the seats.

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Event Location

Hyatt Centric MG Road Bangalore
1/1 Swami Vivekananda Road Next Lido Mall ,Ulsoor Bangalore-560008
Phone: 080667 99999

contact@unicomlearning.com

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Disclaimer and Indemnity

"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."