Artificial Intelligence Series

About This Series

This knowledge series consists of 8 webinars on Artificial Intelligence.
The webinar uncovers how agile is being disrupted by AI. The session talks about identifying and automating repetitive agile tasks.The webinar reveals how historical information is being used to predict the future and take corrective measures, when needed.
The guest speaker talks about analyzing patterns/relations/co-relations of historical and transactional project data to diagnose root causes.

A session in the knowledge series focuses on the journey of AI in the hospitality sector. Digital platforms are playing such an important role in the hospitality industry that a one click method can see a doctor at their home stp. The availability of such AI-based solutions makes it easier for the users to ascertain the risk correctly and ensures that chances of missing high-risk factors are significantly reduced. Such solutions complement the medical expertise on the ground in delivering more robust care to the patients.

There's a webinar that focuses on the growing role and methods of analytics, AI and Machine Learning and intelligent automation innovations to increase the speed, operational efficiency, cost - effectiveness, control, and accuracy of daily business activities, and to empower skilled human professionals to generate more impactful insights, enabling smarter decisions more quickly. The session talks about how organisations are moving from PoCs to full scale operationalisation.

Another session Conversational AI powering intelligent virtual assistants talks about the evolution of chatbots to intelligent virtual assistants, the technologies powering a modern age virtual assistant and how virtual assistants are enabling the next generation of care delivery models.

Progressing further, we have a webinar on "how AI is revolutionising video analytics". The session starts with how AI is introducing new possibilities in video analytics, important business use cases, tools and technologies which are revolutionising video analytics and the role of edge device technologies in enabling AI for video analytics. The session also focuses on the common implementation approaches for deep learning models for video analytics and the role of cloud in video analytics-based solutions.

There is a session on AI changing and impacting Mass Customisation. The webinar showcases some exciting examples where AI has drastically enhanced the shoppers' buying experiences which have directly resulted in boosting company sales. The speaker covers Deep Learning-based optimisation which helps in reducing manufacturing errors and reducing order returns. The session is an introduction to the Mass Customization industry and how Artificial Intelligence can be used for personalisation and recommendations for upselling and cross-selling.

Webinars in the series

Agile disrupted by AI

Raghavendra Meharwade

Senior Manager - Agile Capability,

Accenture in India

Anubhav F Gupta

Manager - Agile Capability,

Accenture in India

00:59:48 3.4k Views 2 years ago

Key points of discussion:

Applying Agile is a mindset change rather than a process change compared to traditional methods. Challenges faced by teams while practicing Agile include:
Limited experience with agile.
Slowing down of work due to limited access to a product owner
Incomplete/less detailed user stories leading to a high onshore dependency
Struggle to keep momentum with continuous churn of agile events through active participation and maintain quality of artifacts (backlog, burndown, impediment list, retrospective action log)

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Role of Artificial Intelligence in Healthcare

Geetha M

Department Lead – Healthcare Solution

Philips Innovation Campus, India

01:11:33 558 Views 2 years ago

Description:

The use of AI becomes particularly important for healthcare solutions in low-resourced settings as typically the users tend to be minimally trained and not specialists. The availability of such AI-based solutions makes it easier for the users to ascertain the risk correctly and ensures that chances of missing high-risk factors are significantly reduced. Such solutions complement the medical expertise on the ground in delivering more robust care to the patients. Leading research companies are applying machine learning algorithms and predictive analytics to reduce drug discovery times, provide virtual assistance to patients, and diagnose ailments by processing medical images, among other things.

Engineers and domain experts work on end-to-end products and solutions across the health continuum, from healthy living, to prevention, diagnosis and treatment. Innovation hubs harness the power of technologies such as AI, digital, Cloud and Big Data analytics to improve patient outcomes through care coordination and patient empowerment.

With the help of emerging technology, data scientists are provided access to all kinds of data for analysis and creating modelsdata that represents time series and longitudinal record of the patient such as lab reports, scanned images, electronic medical records, lifestyle data, etc. This provides holistic information about the patient, which is very useful especially in recommending treatments.

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Is AI changing your life?

Pranali Save

Chief Human Resource Officer (CHRO)

Icertis

Kalpa Ashhar

Senior Architect - R&D

Icertis

00:58:51 1k Views 2 years ago

Description:

The webinar would explore how AI is changing our daily lives and daily interactions.

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Enhanced role of AI and ML methods in identifying business risk

Rajeshwari Sinha

FS Data and Analytics Leader

EY GDS

Krittika Sharma

Internal Controls and compliance leader

EY GDS

01:00:13 1.1k Views 2 years ago

Description:

Focusing on the growing role and methods of analytics, artificial intelligence and machine learning and intelligent automation innovations to increase the speed, operational efficiency, cost - effectiveness, control, and accuracy of daily business activities, and to empower skilled human professionals to generate more impactful insights, enabling smarter decisions more quickly

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Conversational AI powering intelligent virtual assistants

Piyush Gupta

Distinguished Engineer

Optum Global Solutions

01:02:44 2.3k Views 2 years ago

Description:

Today virtual assistants have become an integral part of the consumer experience program for any organization, whether in manufacturing, retail, finance, healthcare, insurance etc. Gartner predicts that 40% of mobile interactions will be managed by smart agents by 2020.

Using advanced technologies such as Artificial Intelligence (AI), Natural Language Processing (NLP) and Machine Learning (ML), the traditional chatbots have now manifested into data driven and predictive applications. Conversational AI powered virtual assistants can understand complex human speeches and engage in human like interactions. Within healthcare, virtual assistants are transforming the overall patient experience, allowing them to use voice interactions to make sense of their health data, bridging the gap between medical terms and patients understanding of their health data.

Join this webinar to understand the evolution of chatbots to intelligent virtual assistants, the technologies powering a modern age virtual assistant and how virtual assistants are enabling the next generation of care delivery models.

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How AI is revolutionizing video analytics

Ramesh Soni

Practice Lead - AI\/ML

Nagarro

Shivam Sharma

Architect - AI\/ML

Nagarro

01:02:33 2.2k Views 2 years ago

Description:

With technological advancements in AI, deep learning-based approaches can analyze huge amounts of video-based data and provide intelligence to automate insights in real-time. Most of this analysis can run on edge devices synced with video cameras.

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AI augmenting human capabilities across the care delivery value chain

Vineet Shukla

Senior Director - Data Science & Machine Learning

Optum

01:03:18 2.5k Views 2 years ago

Description:

Artificial Intelligence is a field that focuses on creation of smart machines or processes that mimic human actions. Machine learning, computer vision, speech recognition, image recognition, among others, are considered different branches of AI. A lot of recent technological advances including self-driven cars, Siri and Alexa are made possible through AI. In healthcare, AI has been playing a vital role in areas, including the pharmacy and laboratory services space in terms of drug discovery, healthcare outcomes and disease predicatbility, machine learning algorithms for clinical decision-making, healthcare delivery, and personalization of care. AI brings in value for organizations and businesses where a lot of human actions are mechanistic in nature and can be well characterized by data and therefore performed faster, with greater accuracy, and lower resource utilization. AI is transforming the world by automating tasks, reducing turnaround times as well as providing personalization to increase the quality of product and services.

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Application of AI and ML techniques to solve real world use cases in Financial Services - Steps and Learnings

Manisha Banthia

Director

Fiserv

01:01:23 1.5k Views 3 years ago

Description:

The retail and commercial banking industry is undergoing a massive change and AI and Machine Learning, real-time analytics and personalization are key for success. We will discuss some use cases and understand the business impact it has created.

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Artificial Intelligence in Mass Customisation

Anshul Garg

Principal Data Scientist

Cimpress India

00:46:20 1.8k Views 3 years ago

Description:

Mass customization is a manufacturing technique that combines the flexibility and personalization of custom-made products. A new era of personalization has started with the rise of Artificial Intelligence. Providing customized solutions to every customer is the next point of differentiation for all the manufacturers. AI has been magnificent in predicting customers' likings at an individual level. In today's competitive world aiming customer satisfaction is not enough but needs to create wow factor to be ahead of your competition. AI-powered technologies are capable of understanding, learning and recommending the designs which are in customers' intent wins many hearts.

In this talk, I will be showcasing some exciting examples where AI has drastically enhance the shoppers' buying experiences which have directly resulted in boosting company sales. Also, I will be covering Deep learning-based optimizations which help in reducing manufacturing errors and reduce order returns.

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Speakers in the Series

Raghavendra Meharwade

Senior Manager - Agile Capability, Accenture in India
Anubhav F Gupta

Manager - Agile Capability, Accenture in India
Geetha M

Department Lead – Healthcare Solution Philips Innovation Campus, India
Pranali Save

Chief Human Resource Officer (CHRO) Icertis
Kalpa Ashhar

Senior Architect - R&D Icertis
Rajeshwari Sinha

FS Data and Analytics Leader EY GDS
Krittika Sharma

Internal Controls and compliance leader EY GDS
Piyush Gupta

Distinguished Engineer Optum Global Solutions
Ramesh Soni

Practice Lead - AI\/ML Nagarro
Shivam Sharma

Architect - AI\/ML Nagarro
Vineet Shukla

Senior Director - Data Science & Machine Learning Optum
Manisha Banthia

Director Fiserv
Anshul Garg

Principal Data Scientist Cimpress India