About the event
Intelligent Automation Forum 2019 – Next Gen Technology
Is it possible to go above & beyond? Yes, absolutely.
Pyramid Learning Platforms with its successful run in the APAC region, is coming to Bangalore; where the Intelligent Automation Forum 2019 will be certainly bigger & better – and in so many new ways.
Robotic Process Automation (RPA) continues to gain popularity. By adopting RPA, organisations are integrating rule based processes with software program that do not require much human intervention. These are applied to systems workflow, ERP and databases.
Intelligent Automation (IA) is defined as the next generation in automation technology beyond RPA. Intelligent Automation (IA) engages technologies like machine learning and dynamic workflow and holds the promise of exponential value as it grows, make things simpler. It can integrate everything coming your way from services, new products, technology tools, business models, strategic alliances and ecosystems.
Adding rapid advances in Artificial Intelligence (AI) automatically sees more interest in technologies that increase how well machines sense, learn and act.
Investments in Artificial Intelligence (AI) start-ups by venture capitalists have increased multifold over the last few years.
Although, there is growing interest in RPA, there exists lack of clarity on what the technology is, how it can be implemented and where it is going? Somewhere, it hasn’t kept up pace as such both from a delivery and expectation standpoint and remains a moot question.
This conference will be a center of experts’ power joined by leading AI & RPA practitioners across industries, who will come together to discuss:
- Models enhancing RPA along with cognitive technologies to robotize end-to-end, to drive the cost saving in your automation journey.
- How to make most of Artificial Intelligence (AI) & Robotic Process Automation technologies and extenuating common implementation pitfalls and how to establish a Centre of Excellence (C0E)
- Some of the best practices at all levels of maturity across organisations and its impact on top-line growth.
How evolution of Intelligent Automation (IA) includes advanced Artificial Intelligence (AI), to transform the workplace, workforce and human potential.
Our aim is to educate and involve the ecosystem and creating collaboration opportunities about the latest trends. With the lineup of industry experts, we bring together perspectives across different industries, delve on the latest happenings, and discuss used cases.
We have created an ideal platform for practitioners and industry experts to meet, exchange ideas and collaborate.
08:45 – 09:00
09:00 – 09:10
09:10 – 09:50
AI Sprouts in the Enterprise
Speaker – Ravi Pandikunta, Digital Enterprise Architect/VP, Tech Mahindra
Topic Abstract: Understand the AI based solutions across domains and how it helps to improve the productivity and gain the competitive advantage. It 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.
09:50 – 10:30
The use of AI/ML in the Software QA Industry and its repercussions
Speaker – Bharath Hemachandran, Principal Consultant, Thoughtworks.
Topic Abstract: There are various levels in the use of AI/ML in the field of QA. The industry is currently at various levels in the use of AI and ML. My talk will attempt to present a snapshot of where the industry currently is with the adoption of AI/ML and various paths of adoption can follow from here. The talk will also focus on the use of AI/ML in the form of case studies after the above.
Bio: With over 15 years of experience in multiple industries and technologies, Bharath is a technologist who is passionate about solving business problems for clients. Currently he is a Principal Consultant at Thoughtworks. Apart from trying to marry technology and business, he loves to write, emote, listen to music and play any sport with a stick and ball.
10:30 – 10:50
Networking and Refreshment Break
10:50 – 11:30
RPA in Service Management and Life Sciences
Speaker – Subeed Ahmed, Senior Director at Capgemini
Topic Abstract: RPA has tremendous opportunity to automate repetitive processes in Service Management which results in considerable cost saving by reducing tickets effort. In this session we will demonstrate a typical development life cycle of creating a RPA BOT and few live demos related to Service Management scenarios. We will also demonstrate how a BOT can be used in Life Sciences Regulatory environment.And we will end the session by discussing some challenges faced during RPA automation.
Speaker – Manish Rathi – Senior Manager, Capgemini
Bio: Manish Rathi is a computer science engineer with over 12 years of work experience in Architecture & Design, Agile Distributed Delivery of complex global programs at enterprise level.
His current focus area is RPA tied up AI/Machine learning to produce a human like intelligent automation.
11:30 – 12:10
How AI is innovating in healthcare and how is it put to work?
Speaker – Siddhesh Jain, Chief Data Scientist at TheDataNext
Bio: A leading Data Scientist and Analytics leader with expertise in Machine Learning and Deep Learning. He has great experience of working with variety of industries ranging from Financial , Banking, Pharma , Steel and Chemical as automation and analytics thought leader. He is Co-founder and Chief Data Scientist for TheDataNext.com
12:10 – 12:50
Intelligent Automation use case : Imperatives for Intelligent Automation
Speaker – M. Dattatraya Rao, Principal Consultant | Automation and ML – Advisory and Consulting at Tech Mahindra.
Topic Abstract: To meet the expectations of the business in Digital world, Intelligent Automation is necessary, where complex tasks and activities are involved to accomplish the business process in a seamless manner. Also to match the efficiency and improved business value outcomes to satisfy the demands of the various stakeholders involved, like Functional teams, the Internal IT arm, the Service provider, Product vendor and above all the End user, whom the process can touch and give high value digital impact.
Order management in a big sized multinational company is by no means a small task to automate end-to-end processes. If it really has to deliver, the desired value to its stakeholders, and automating such complex processes will bring in the required trust and belief amongst its propagandists that the statement that sum of parts is not equal to whole, and automating whole is much more valuable indeed and is possible by Intelligent Automation…
Bio: 16 + years of rich experience in IT Strategy, Consulting and Delivery coupled with Thought leadership and critical thinking skills Dattatraya Rao today operates at the intersection of business and technology and is an ideal consultant to solve toughest Business challenges connecting the unconnected to the Digital world.
Dattatraya Rao, in his current role spearheads $ xx.xx mn Automation practice with key focus in the Mfg. and Supply Chain sectors. He champions and mentors a team of young Digital leaders and engages in continuous account mining, client partnering and delivery excellence assisting business gain efficiency using Automation – AI and ML.
12:50 – 13:50
13:50 – 14:30
Challenges in Scaling automation in IT and How to overcome it?
Speaker – Sanjeev Ramakrishnan, Vice President – HOLMES Engineering at Wipro
Bio: Sanjeev is a Digital and Information Technology consultant with 22 years of experience in Digital , IT Delivery Execution & Solutions.
He is currently the global head for the engineering and Presales of Wipro’s flagship Artificial Intelligence platform (HOLMES). Responsible for driving the IT automation charter for our global clients by creating innovative solutions.
Previous to this role he was part of the Manufacturing & Technology Business Unit (BU) leadership. As a Sr. General Manager he was heading the Digital (IP/Platform), Integrated/Cloud Solutions & Architecture practice group for the USD 1.8 Billion business unit.
He is a trusted Digital adviser for CXOs working with business and IT leaders to deliver solutions.
In the past, he has played the role of CTO (headed solution strategy and architecture group) for 1.5 Billion USD Manufacturing and Hi-Tech BU. Involved in managing client relationships and delivery of large integrated transformational programs for Fortune 500 customers across the globe.
As a vertical delivery head he has led the overall delivery and operations for a 250 Million USD Industrial Manufacturing vertical.
14:30 – 15:10
IoT in Data Governance: Organizational preparedness
Speaker – Anvita Bajpai, Founder at Sunvai.in / Bestselling Author of 3 Books
Topic Abstract: As we talk about creating a hyper-personalised and seamlessly connected world, it’s important to understand both ‘powers’ and ‘limitations’ of AI and IoT technologies in Data Governance. A business can exponentially grow by harnessing the powers of AI/ML/IoT as it helps an organization define right strategy and growth road-map based on Real-Time Data Driven Decisions.
Further, it is clear that the growth is an step-by-step journey — where — today, different business are in different stages of readiness for being benefited by power of data and AI. Hence, it is important to locate ‘your’ business in this journey to blend the best of available Human Intelligence with the best possibilities of AI/ML/IoT for defining right short-term goals for a long-term exponential growth for your business.
Bottom line: Before you can fix the problem, you have to understand it.
Bio: Anvita Bajpai – Founder of “SunvAI”, Speaker, and Bestselling Author of 3 Books – is an IIT Madras and IIM Bangalore alumni, with about 14+ years of experience of building smart products using AI with MNCs, like, Oracle, Satyam, Wipro, and startups, like, Decidyn (as AVP), Vimagino and her own ventures. Anvita has published a number of Research Papers, Patents, and business and technology Articles; and has been invited as speaker at leading conferences like UXINDIA (2013 & 2014 both), WIAD 2015, GIDS 2015, RSD 2016, Antaragni 2016, HoG@IIMB 2017, RISE 2018, AI Connect 2018 etc.
15:10 – 15:50
Future of Robotics & Automation for the next decade Talk
Speaker – Arjun S Meda, RPA consultant and trainer | Ex Infosys.
Topic Abstract: Understanding the fast changing business landscape helps us design the Technical Architecture for Organizations, prepare for the much required change management to adapt to the transformation and create an adaptable strategy to meet the corporate goals. Three key points to be considered while designing the next steps to face the future: – Potential Disruptive Technologies and its impact on us – Man-Machine interactions designed to deliver optimum efficiency – Upskill human workforce to meet new-age requirements and expectations
Bio: Arjun S Meda is an Automation SME and has 12 years of experience in IT industry. He has worked in India and US working directly with the clients in implementing Automation capabilities. He has a Bachelors degree in Engineering from SIR MVIT, Bengaluru. He also leads a community of Startups and Entrepreneurs called IndianStartups, assisting them in connecting with various partners in the ecosystem. He is passionate about running and has conquered races like Spartan Beast and Tough Mudder.
15:50 – 16:10
16:10 – 16:50
Bias in AI models – Methods to Define, Identify & Correct
Speaker – Anil John, Director, Cognizant Technology Solutions
Topic Abstract: Human & Sociological Bias in AI models is a real issue today. The issue is further accentuated due to AI models getting all pervasive and being ingrained across business processes, customer touchpoints. Humans are inherently biased and models are learning this bias. Need is to define a system to measure, detect and rectify the bias so that human bias is not institutionalized further. Different measures & techniques are required to detect Human generated AI system bias across data types – Natural Language, Images as well as Structured data.
Bio: Anil is Chief Architect, AI in Cognizant’s Analytics & AI practice. He has 16 years of AI & ML experience working across business verticals and domains. Anil is an alumni from NITIE, Mumbai. In his various roles throughout, Anil’s passion has been to apply advanced AI techniques to solve business problems which are otherwise not effectively solved through traditional techniques. Applied AI leading to implementation & finally delivering business impact is his goal. Anil has submitted papers on AI & ML in Industry and Academic conferences. The papers have been in the area of industry application of Image analysis, OCR, Human video activity, Self-learning of conversational systems.
16:50 – 17:30
Intelligent IT Infrastructure
Speaker – Amar Prusty, Cloud & Data Center Architect at DXC Technology
Topic Abstract: Businesses became more competitive for survival and increased market share wanting faster deployment of new features which resulted in Agile Software Development. Agile and DevOps demanded faster provisioning and de-provisioning of IT Infrastructure for sprints due to short development, test, deployment cycles. Everchanging Business requirements and cost optimization has led to evolution of IT Infrastructure Complexity. Enterprise IT started with Mainframes then migrating to Unix Physical Servers with LPAR’s for cost optimization. Unix Physical Servers migrated to Linux and Windows X86 Physical Server platforms for further consolidation
X86 based Virtualization Technology helped in consolidating underutilized Physical Servers into Virtual Machines on single powerful Physical Server Hardware. Virtual Machines resource requirements led to Software Defined Networking (SDN) and Software Defined Storage (SDS). Automation was critical for faster Turn Around Time (TAT) to support Agile and DevOps as manual effort had human errors, longer implementation cycles and higher cost
Cloud started moving initially Dev/Test/PreProd and later on Production Virtual Machines out of On Premise Data Centers to Hosted-Colocated and Multiple Public Cloud DC converting CapEx to OpEx. Modern Micro Services Architecture based Applications started leveraging Container Technology which was lighter and faster than Virtual Machines. Serverless Function As A Service (FAAS) coupled with Microservices Applications architecture added to the complexity. Infrastructure As Code (IAC) is being version controlled along with Application Code making releases faster and better.
Modern Heterogenous Multi Platform Data Center and Cloud Infrastructure Management is critical to Application success. Cloud-Data Center Infrastructure-Automation & Orchestration is solving the Complex Infrastructure Management Puzzle.
Bio: Amar Prusty works as a Cloud-Data Center Consultant Architect with DXC Technology with more than 17 Years of experience in IT Infrastructure- Data Center and Cloud Consulting, Architecture, Design, Implementation and Support with Global Fortune 500 clients having worked with Aricent (Hughes),Infosys and Hewlett Packard Enterprise in the past for various Industry verticals and developed Thought Leadership in Digital Transformation from a Complex Heterogenous Infrastructure perspective.
17:30 – 17:45
Closing ceremony with note of Thanks & Felicitation
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