First of all AIOps stands for Artificial Intelligence for IT Operations. It’s the next generation of IT operations analytics, or ITOA. And its value is in helping organizations address complex IT challenges such as:

• The increasing complexity and dynamic nature of IT architectures
• Digital business transformation
• Siloed IT operations
• Exponential growth of uncorrelated data

All of the above render traditional, domain-centric monitoring and IT operations management inadequate. Such systems can’t correlate the onslaught of data various IT domains create. What’s more, they’re unable to provide the insights IT operations teams need to proactively manage their environments. And that just doesn’t work.

IT organizations need a new class of technology to modernize their processes by applying machine learning to automatically detect patterns and reduce noise. But powerful ML/AI algorithms cannot do their magic if the IT inventory data is inaccurate or if we don’t have an application-centric view of the entire stack correlated with the operational events that could impact its performance.

Therefore, IT organizations need a new technology that first automates the discovery process across hybrid IT, creates an accurate inventory and automatically updates the CMDB, that is then able to correlate millions of data points across all IT domains. Finally, this technology should have the smarts to apply machine learning to detect patterns and reduce noise. And it should present that information through an intuitive UI so organizations can easily see what’s happening and gain insights.

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.

Machine Learning (ML) has been a key driver for digital transformation across industries. From customer service and IT operation chatbots to self-driven cars and medical diagnosis, AI/ ML has promised something for every industry sector. While the rise of AI/ ML has started a new era of intelligent systems and evolved use cases across industries, there is another side to it, which will be interesting to see.We are looking forward to see where AI/ ML will help in improving efficiency by enhancing the process and providing a view beyond automation.

Vishwa is a distinguished speaker, author and strategy leader with more than 10 years of experience in corporate, academia and entrepreneurship. His work in AI/ML and automation has been published in international journals and magazines like DevOps.com, CloudTweaks, IJCSIS etc. His research areas span multi disciplinary studies like - Intelligent Personality Categorization System and Intelligent Career Advice using AI/ML . He also specializes in startup mentoring.

AI inherently becomes an offshoot of enterprise digital journey as it moves up the maturity curve on scale, experience , adoption and efficiency. AI and Data literacy skills are the key drivers to attain the optimized value from the data ecosystem (includes data in any form).

Use cases commonly seen in an enterprise are - Narratives intelligence with data storytelling , Conversational AI, Text Analytics, Audio /Video analytics, etc .

The future of analytical queries will be generated through Search , Natural way of asking questions (text/voice) or will be automatically generated coupled with humanized experiences to substantially increase the insights adoption.

During this session will briefly speak about enterprise journey , its context , technology constructs, road blocks and methodologies to follow for success in building AI solutions.

Digital Transformation leader having extensive experience in end to end Business Intelligence & Analytics solutions with multi billion dollar enterprises.

Skills & Capabilities around Data Warehousing/ Business Intelligence , User experience Designs, Big Data and Analytics - Data Visualization ,Story boarding, Modernization, Monetization, Enterprise Information Services, Data Governance and management , Self Service BI, Cognitive BI, NLP AI & ML, Analytics , Mobility , Platforms and solutions etc.

• 16+ years of progressive experience in Software Application Development and Maintenance in Analytics Space.
• Strong technical, analytical and leadership skills.
• Business Planning , RoadMap & Data and Analytics Strategy definitions .
• Proficient in Large scale project execution in and around BI and Analytics space.
• Strong & deep understanding of the software development life-cycle methodologies.
• Hard working, Team leader & a self-starter.
• Strong domain knowledge in Hi-Tech & Manufacturing Area including Marketing, Sales, Operations & Finance.
• Excellent Interpersonal Skills with ability to work independently and with the Team.
• High Experience in Customer Facing and Technology Management roles.
• Strong expertise in Data/Dimensional Modeling & ETL/ELT designs.

Technology Specialties: Data Warehousing, Business Intelligence , Vertica v7x, Informatica, SAP Business Objects , ETL/ELT , Oracle, Teradata, Sybase IQ ,Mongo DB, Analytics , R , Unix, Data Mining Approaches ,SAP HANA, Master Data Management and Data Governance , Waterline data , Alteryx, Trifacta , Microsoft Cloud Azure , DataBricks , Tableau , Big Data & Analytics constructs etc.

Dr.S.Chandrasekhar is currently Sr Professor at IFIM Business school B"Lore & also Director-Business Analytics Centre at IFIM. Prior to joining IFIM he was Professor & also Officiated as Director( during April 2009-Jan 2010) at FORE School of Management, New Delhi. He joined FORE SCHOOL in July 1998 as Senior Professor and later on became chair professor Director-IT and subsequently Director(Officiating). He also headed the software development at Fore School of Management which developed proto type of products in the area of Business Intelligence,Risk Management,Customer Relations Management.He has a total of about 40 years of experience in R&D,Academic & Industry in the area of IT and Quantitative Methods.

In the year 2010 he has been awarded the prestigious NASSCOM-DEWANG MEHTA national award for Best teacher in IT among mgmt Institutes in the country.

Prior to this he worked at Indian Institute of Management, Lucknow for about ten years as Professor in the area of Computers & information Systems. Was also the area Chair Quantitative & Information Systems Group , Admissions Chairman & Member Governing Board of IIM Lucknow.

Holds a B Tech,M.tech from IIT Kanpur & Doctorate from University of Georgia

Worked in the area of Business Analytics Forecasting , Simulation, Data Warehousing/Data Mining Risk Mgmt

Also a regular speaker in quite a few reputed Institutes like IITM, IIM,IIFT,RBI Training College,National Insurance Academy National Institute Of Bank mgmt etc.

Professor S.Chandrasekhar has conducted a number of Management Development Programs in the area of Knowledge Management, Data Warehousing , Data Mining & text mining,Knowledge Management, E-business to Senior Executives in Industry.

Consultant to various industries in the area of Business Intelligence , Data Mining , Data warehousing Risk management

Founding Director of two start up companies at IIT Kanpur incubated by SIDBI in the area of Risk Mgmt.

This talk will cover:

• Our unique approach of blending AI and Human Understanding
• How we approached the common Scaling challenges
• Challenges unique to our approach and the respective solutions
• Focus areas in Research and Development
• Key lessons learnt along the way

Since joining Interactions in 2013, Mahesh has been a driving force in developing innovative ideas, technologies and processes for Interactions. As Senior Vice President of Engineering, Mahesh brings over 22 years of experience designing and developing massively scalable systems in the IOT/M2M, IVR, SOA, BPM, B2B and financial domains. Previously, Mahesh served in a number of senior management and technology leadership positions centered on the successful execution, design and development of Enterprise products and Cloud/SaaS platforms. Most recently, he served as Director of Software Technologies at Axeda Corporation.

The manufacturing industry worldwide is going through a revolution known as Industry 4.0 - the fourth major revolution in industry and technology! As we march towards Industry 4.0, Artificial Intelligence (AI) and its applications play a pivotal role. AI has been one of the catalysts in our progress towards Industry 4.0. While analysis of structured data (such as numbers, numeric values of parameters such as temperatures) is an established and mature field, a vast majority of data in manufacturing is in the unstructured form - the sounds and noises, the sights and visions, and text data which is omnipresent in the form of various papers and production sheets. If we could utilize this vast unstructured data and derive value out of this through innovative applications of AI, we could transform the way the manufacturing industry works. In this talk, we will talk about such innovative applications of AI for unstructured data. The talk will discuss sound analytics which is one of the latest developments in this field, real-time video analytics, and text analytics, all targeted for manufacturing industry. This talk will also touch upon the topic of edge computing, and compressing the complex AI models into small devices which can do real-time AI at the shop floor without any external connectivity requirements.

Anand is an expert in mathematical modeling & algorithms, numerical methods & optimization, engineering simulations, Artificial Intelligence & Machine Learning, parallel & high performance computing with more than 20 years of research and development experience in word-class research organizations in both India and the USA. Anand is a founder and CEO of Asquared IoT, a venture that focuses on innovative applications of Artificial Intelligence and Machine Learning to manufacturing domain. Asquared IoT develops embedded AI products for manufacturing industry, and uses innovative sensing and computing technologies to deliver cutting-edge AI solutions without complex infrastructure needs. In the past Anand has worked for Intel Labs (Bangalore), TCS Labs (TRDDC, Pune), and Motorola R&D (Chicago, USA). Anand holds a Ph.D. in Mechanical Engineering from the University of Colorado at Boulder, USA, which he obtained in 2001, and he has also done post-doctoral research at the University of Colorado.

Being a successful Trader is not that easy. It is not about a one off trade which is successful. It is all about consistently making money. Historically, we have 95% of people losing money at the cost of the smart 5% making money. How can you be part of the 5% ? And how can you leverage the concepts of Machine Learning to be even more disciplined ? Tune in for more details!

Seasoned IT Leader with more than 19 years of experience in Strategy, Agile Transformation, Digital Transformation, DevOps, Delivery, Production, Project, People management who believe that change is the only constant. Demonstrated high level of ownership along with building teams from ground up.

Part of the exciting journey of Digital (API, UX/UI, Cloud, PaaS), Smart Automation (including RPA, ML/NLP, AI), Continous Delivery, systems and process advisory.

As progressive enterprises move from Data driven workflows to AI driven workflows, some key questions that arises are:

• Will AI decisions be explainable or is it even desired?
• Can AI include contextual information like company strategy, environment/ market landscape in making decisions?
• How can we use AI to improve decision making than become slaves to AI ?

The focus of this session will be to introduce a decision making model based on AI that complements human judgement and brings in contextual data via AI to aid these decisions. This will be done through a quick historical context, an overview of some relevant business scenarios, followed by a demo of a few AI based solutions.

A hands-on senior business / technology executive with 20 years of progressive experience in building and managing technology teams and delivering value through technology solutions. Have developed technology solutions, managed engineering teams and built technology practices.

Very hands on and have setup business and technology teams from scratch, while running the businesses during the setup phase.

Most of my experience has been in the Financial Services and Insurance technology space. Always worked with global clients across North America, UK, Europe, ME and APAC.

Am a keen practitioner and follower of technology and scientific trends. At a personal level, am deeply interested in usage of science and technology in progress of society, especially in affordable technology solutions that can benefit countries like India. Current focus areas are healthcare technology and M2M communications / IoT in resource optimization.

In this talk, I will walk through the process and challenges for a typical Machine learning project. I will cover the different activities and tools for ML model training, release and deployment.

I am Associate Vice President - Applied AI at Mphasis where I am building cutting-edge innovative solutions in the Machine Learning and Deep Learning space. I lead a team of highly talented and motivated experts who are inventing and building commercially successful, award-winning intellectual property in the AI/ML space. I actively champion AI based IP creation, consulting, evangelization, and new product development. I regularly advise and conduct workshops for Fortune 500 clients and incorporate innovative AI based interventions to help clients in achieving their strategic objectives.