3AI Knowledge Insights Series
The essence of practising medicine has been obtaining as much data about the patient’s health or disease as possible and making decisions based on that.
With the cultural transformation called digital health, disruptive technologies have started to make advanced methods available not only to medical professionals but also to their patients. These technologies such as genomics, biotechnology, wearable sensors, or artificial intelligence (AI) are gradually leading to three major directions. They have been (1) making patients the point-of-care; (2) created a vast amount of data that require advanced analytics; and (3) made the foundation of precision medicine.
In this shift and cultural transformation, AI is the key technology that can bring this opportunity to everyday practice.
Developments in AI & Analytics Analytics are opening up opportunities for retailers to gain a competitive edge – anticipate and quickly respond to shifts in buying behavior and demand, scale up and drive the business in a more efficient manner.
During this webinar, Bhaskar will discuss use case of AI/Analytics applications in retail industry.
Being a human, we always like to interact with a human. But the machine always provided convenience to us, and thus human interaction with the machine could not be avoided. Conversation AI is a transformative technology which will potentially redefine how human interacts with Machine. We will try to understand how this technology will become an integral part of our personal and corporate life.
Attend this webinar to Engage with Hasit Trivedi, a season AI and Analytics Leader, and learn on how conversational AI simplifies business operations, strengthen customer relationships and create new lines of revenue.
Attend this webinar to Engage with Hasit Trivedi, a season AI and Analytics Leader, and learn on how conversational AI simplifies business operations, strengthen customer relationships and create new lines of revenue.
Natural Language Processing (NLP) is among the hottest topic in the field of Artificial Intelligence (AI) that makes human language intelligible to machines. NLP combines the power of linguistics and computer science to study the rules and structure of language, and create intelligent systems. NLP tools can help businesses analyze data and discover insights, automate time-consuming processes, and help them gain a competitive advantage.
Let’s be The First Movers and try to understand “What is NLP and How it can make your Business Smarter”
1. What is NLP? “NLP = Computer Science + AI + Computational Linguistics”
2. NLP vs NLU vs NLG
3. NLP Tasks by Complexity
4. What Makes NLP so Hard
5. Essential Machine Learning (ML) Background for NLP
6. NLP Challenges And Approaches
7. NLP Applications in Business
Let’s be The First Movers and try to understand “What is NLP and How it can make your Business Smarter”
1. What is NLP? “NLP = Computer Science + AI + Computational Linguistics”
2. NLP vs NLU vs NLG
3. NLP Tasks by Complexity
4. What Makes NLP so Hard
5. Essential Machine Learning (ML) Background for NLP
6. NLP Challenges And Approaches
7. NLP Applications in Business
Best in class customer experience with the help of AI Driven Operational excellence & intelligent process automation. How can one move from reactive customer services to proactive? Customer service for Sales, voice and non-voice processes. Evolution of chatbots, voice bots and end to end process automation.
Data is the heart of AI– without the right data, one can neither build nor implement an AI solution. Creating the right architecture to capture, store, process and use structured and unstructured data determines the success of the AI, ML and digital strategy of an organization. The current session aims to provide a broad view of approaches to building the right data engineering strategy for the organization, it will also illustrate the strategic design and technology choices that are involved and criteria for selecting the right technology. The session will be conducted by Bijoy Kumar Khandelwal COO Actify Data Labs and Hindol Basu CEO Actify Data Labs. The session will also provide an overview of data engineering technology landscape and help illustrate technologies like Kafka, Lambda Architecture, Hadoop, Hive, NoSQL, Graph DB, MapReduce etc.
The symbiotic nature of edge computing and artificial intelligence is particularly interesting because artificial intelligence requires the extremely fast processing of data, which edge computing enables; meanwhile AI enables the higher performance of compute resources and intelligence at the edge.Join us for this webinar where 3AI Thought Leader and Mentor, Bipin Pradeep will discuss edge computing (EC) and artificial intelligence (AI), and how this combination is enabling new use cases, and creating the next generation of data processing
As global economic growth for manufacturing slows, companies must leverage their data to build for future success. Yet, while there is significant value in the data Manufacturing companies produce, both structured and unstructured, too little of it is being analyzed. To turn this information into better, smarter, and faster decision making, manufacturers must be able to fully exploit the mountains of data they produce. Through AI and analytics, companies can increase operational productivity, gain a competitive advantage and develop new business opportunities. Attend this webinar with our Thought Leader Sanjeev Kumar, Senior Director–Data Analytics at Baker Hughes to know more about current trends, future outlook and career opportunities in AI and Analytics for the Manufacturing sector.
“Vijay will be exploring on Augmenting our Reality and how it could promise to close the gap and release untapped uniquely human capabilities. Key takeaways: What is XR? Why XR is important? Use Cases in the broad spectrum of roles in daily life Key Challenges and solutions”
Many industries are adopting blockchain to pave the way for the future due to its huge potential. Join Gokul Alex to see how blockchains work their way into so many industries, and its importance to find out all that we can go about in terms of working, challenges that it might solve for our business. 1. Real-world challenges that could be addressed by revolutionary applications of blockchain technology. 2. Applications and use cases of the Blockchain technology. 3. Design principles and data dynamics of decentralised AI and the key components of Blockchain Technology.
“The combination of Artificial Intelligence (AI) and automation promises an entirely new level of process and business efficiency. But truly integrated solutions are few. Join Automation Anywhere’s Arvind Thothadri to see what’s possible to revolutionize the intelligent automation space and how you can benefit from it. Attend this webinar to discover how AI and RPA: – The “new normal” and the role of automation- Industry use cases – Discover how organizations capitalize on the excitement around Automation and AI – Importance of Upskilling & Reskilling on the latest technologies creating an impact in the industry”
Manufacturing sector constituted for 16% GDP worldwide was heavily hit in COVID initially. As H2 starts, the industry is coming back to 75%+ production levels. In the webinar, Saurabh Agrawal will discuss and share about how analytics is and can help companies be resilient and efficient to manage the operations while Analytics continues to play a central role in the Industry 4.0 transformation. Key Takeaways: Industry 4.0 and Analytics use cases in Manufacturing. Impact of COVID and use cases which accelerated. Industrial IoT & Cloud Implication Managing the hype and expectations”
Recent times have seen the world move to a new normal and not just market players but even nations are trying to understand what it means and how to deal with this In this webinar, Kishore Kumar will discuss the innovative and creative approaches that are being implemented and why is it important for business leaders, practitioners and professionals to keep themselves updated of the same and also for aspiring candidates to help them keep relevant in the new normal. Key Takeaways: a. Understand the emerging trends in new normal now b. How to keep oneself updated and learn from others as well? c. What skills will prove to be most relevant in the times ahead of us?
Multiple reports & analysis have inferred that the biggest challenge for AI leaders is the majority of projects & engagements getting aborted or don’t see the light of the day“. In this webinar, Nitin Sareen, Consumer Analytics Lead at Wells Fargo, will share his insights and perspectives a practitioner who has driven the application of AI and analytics projects across domains. As Nitin recounts the examples of these projects, you would be able to get a cue on what are the necessary enablers and the challenges/pitfalls to expect. It doesn’t guarantee a solution but mentions what to take into account
CPG industry has been caught off guard amidst unprecedented digital transformation underway, changing consumer behavior, and rapid mix shifts in go to market channels. Important lessons are being learnt.In this webinar, Kapil attempts to decode the most important digital and advanced analytics interventions across the CPG value chain, and proposes the roadmap to become more agile, efficient and competitive. Key takeaways: 1. Understand the most important KPIs for CPG, and their drivers 2. Decode the data sources and how they are transforming, being key ingredient 3. Know how Digital & Advanced Analytics can drive transformation
for their organisations and customer engagement and how AI is playing a role?discuss the vast potential for AI in the insurance space, from theoretical insights to practical implementations. What insurers are doing in terms of using AI to create value in their organizations and to engage with customers better?
cover some of the use cases of AI in healthcare and talk about the strategy to successfully embed AI in a bionic workflow where humans and machine work in tandem to generate superior outcome and free up humans to focus on more value added activities. At the end of the webinar, you would be able to •Identify real AI use cases which can have a real impact on the quality of care •Understand key pillars of AI strategy for success implemented in healthcare ecosystem 18w
With the rise of #AI, comes the challenge of creating an organization that can exploit the potential of AI at scale. As per the government of India AI and machine learning can help India achieve the $5 trillion economy benchmark over the next five years. Post COVID 19 emergence, AI has taken a center stage. AI and machine learning companies are rising with new apps and software due to increase in internet capacity and the potential emergence of 5G. As per Gartner the AI Augmentation Will Create $2.9 Trillion of Business Value in 2021 globally. For this workforce needs to be future ready to operate in the AI environment. Also, the future jobs will be new and unpredictable due to AI. Understanding the future #skill requirement needs a joint effort of Industry and Academia. So, there is an urgent need to develop #courses that can impart #AIskills to both students and faculties so that the University education adapts to AI and our students are ready to take up future job roles.
Recently as we are witnessing a Cambrian explosion of AI, it is important to make AI fair and fail safe.A confluence of AI and Algorithmic Fairness along with cryptography and consensus algorithms of Blockchain Technology can help. In this session Gokul will take us through the design principles and data dynamics of decentralised AI and the key components of Blockchain Technology that makes it possible. He will also examine the progressing projects such as SingularityAI, Ocean Protocol, OpenCog framework etc.
Swati Jain on Predictive Customer Analytics where she will deep dive into how #analytics can help create engaging experiences throught the customer lifecycle to drive aquistion, engagement and retention. She will also discuss how leaders utilize customer level analytics to reveal key insights to improve Organisational KPI’s and customer outcomes. In this webinar, you will get to know • How to Use Analytics to Derive the Critical Insights Hidden in Your Customer Data? • How to Use Analytics to Measure and Improve Customer Engagement and Experience? • How to Use Analytics to Increase Customer Acquisitions as well as Anticipate and Reduce Churn?
Amar Saxena for a deeper understanding on how to use predictive customer lifetime value to gather data, get more sales, and increase customer retention through an overview of the data and analytic models required to set up a CLV framework. Also get a glimpse into the future, getting to know how Artificial Intelligence and machine learning will team up with predictive customer lifetime value analytics to get results.
E-commerce and retail companies are leveraging the power of data and boosting sales by implementing #recommender systems on their websites. The use cases of these systems have been steadily increasing within the last years and it’s a great time to dive deeper into this amazing machine learning technique. In this webinar, 3AI Thought Leader, Sarabjot Singh, will provide a practical overview of recommender systems. First, three major systems are reviewed: content-based, collaborative filtering, and hybrid, followed by discussions on cold start, scalability, interpretability, and exploitation/exploration. Key Takeaways 1. Describe the purpose of recommendation systems. 2. Understand the components of a recommendation system including candidate generation, scoring, and re-ranking. 3. Develop a deeper technical understanding of common techniques used in candidate generation.
Conversational AI enables human language based interactions with Intelligent Things. It brings the technology much closer to humans by eliminating the need of special skill quotient to interact with machines/systems. Conversational AI has evolved from a rigid rule based Q&A assistant with siloed knowledge to a sophisticated & skilled agent that can indulge in fluid conversations. The application opportunities for Conversation AI has widened beyond imagination from just chatbots to AnyThing and the application possibilities in future are boundless. Key Takeaways: – Understand Conversational AI and its evolution – Look at Chatbots and beyond – Explain Conversational AI framework – Identify Pitfalls & Challenges – Imagine Conversational AI in Future
Innovation is the cornerstone of highly successful companies, especially those that continue to be successful in the long term. For fueling much of this continual innovation Design Thinking practices are being adopted by organizations and governments around the world – working as the critical link from inspiration to delivery, concept to the showroom, and start-up to global business. Attending this webinar will let participants get familiar with the basics of the design thinking approach and a look at how and why it’s so effective. Key Takeaways: • Describe the essential ingredients of the design thinking process • Identify key terms and stages in the process • Understand the benefits of using design thinking for innovation • Explain the underlying principles that enable a design thinking mindset • Identify opportunities for applying design thinking
Immersive health technologies are revolutionizing the delivery of frontline healthcare, therapeutic techniques, and research. These offer great potential to improve the training of healthcare professionals through reality-simulation training. These also enable drastic reduction of human errors in diagnosis and help imparting correct treatment for the patient. Key Takeaways : 1. Introduction to Immersive technologies(ar,vr,mr&xr) 2. Why it is the next computing Platform 3. How AI is being used along with XR in Healthcare? 4. Possible Applications in Healthcare – Training 5. What’s the sudden interest of VR in Healthcare VR & Neuroplasticity 6. Future for Immersive Technologies in Health care Industry
Current Pandemic has forced business and workers to swap their work places for kitchens and living rooms. The speed at which we have embraced the technology for this change has been unprecedented. The shift has yet again demonstrated the increasing need for AI and Analytics skills, across almost every industry and sector In this webinar, Sowjanya Shetty will discuss use cases for a closer look at why AI and Analytics skills and the need to upskill – especially now – are more important than ever.
Data analytics plays a major role in all industries today. With the #Covid19 pandemic at large, AI and Analytics is extremely relevant. As a professional, if you envision a high impact career in analytics, 3AI brings the next 3AI Webinar Series #12 to demonstrate how AI and analytics can help combat pandemic situations.
Artificial intelligence (AI) has evolved and improved methods for data analysis and complex computations – solving problems that seemed well beyond our reach only a few years ago. Today, deep learning is transforming every industry, from healthcare and retail to automotive and financial services. In this webinar, Sundara will deep dive into concepts of deep learning along with multiple application scenarios, followed by brief Q&A with participants. Understand the use cases of implementing artificial intelligence such as image processing, natural language processing, speech recognition, deep face – facial recognition system, etc. About Speaker 1. Sundara is the Head of Deep Learning practice at NVIDIA India. 2. He has a strong technical background and his areas of interest include Deep Learning, Big Data Analytics, IoT and Automotive Solutions. 3. He has more than twenty years of experience in solutions involving Visual Computing, Virtualization and High Performance Computing.
Key Takeaways – From a walk-through perspective, it helped understand : 1. How do Organisations move beyond RPA extending to complimentary technologies to deliver end to end services in intelligent automation . 2. How can organisations co-create an intelligent automation strategy which augments business processes with AI 3. Key phases of an organisations automation journey 4. Key features of a robust intelligent automation platform . 5. The extensive applicability/ use cases of IA across industries
Adopting Artificial Intelligence remains one of the biggest challenge among government entities. The session would talk about the barriers leading to the adoption of analytics and the recommendations that may be adapted by vendors or consulting firms to increase AI/analytics adoption. Also the session would also provide example of some artificial intelligence use-cases that are been used to improve efficiency in the public sector.
In this Webinar the speaker would be talking about the applications of AI in 1. Fraud Detection & Anti Money Laundering 2. Risk Analytics 3. Regulatory Frameworks (BCBS-239, Stress Testing) 4. Customer Authentication & Verification 5. Banking on AI: Post COVID-19
Digital Marketing has, in the past decade transformed how businesses develop. It has changed everything about the way the companies and market think & act. Also, It has revolutionized the reach of small businesses while demanding more from already established business. This Webinar will give you insights to the various components of digital Marketing , How is it helping industries for brand visibility and Lead Generation and also how to exploit it in the current scenario.
Entertainment choices have continuously evolved over the ages; the Entertainment and Media (E&M) industry has continues to increase investments and encourage creativity in a n attempt to garner attention from individuals and groups. In this webinar, we will discuss how Technological Advancements have enabled the creation of high quality of entertainments, improved performance and increased immersive experience – its all about “”How Media and Entertainment Industry is being disrupted by AI & Emerging Technologies
Rising healthcare costs, evolving consumer expectations, new market entrants and a changing legislative landscape are forcing payers to turn to emerging technologies and AI to reinvent themselves. The COVID- 19 outbreak will also force disruption in traditional ways of business and value chain, leading to consolidation of AI based solutions and adoption of digital solutions as the key driver of payer business. Health Tech startups are leading the front in disruption but the traditional behemoths (driven by strategic M&A) are not far behind
(a) Why the life sciences industry is in the need of scientific transformation and innovation, more than ever? (b) What is driving this disruption of the life sciences industry which is exp eriencing unmatched changes due to emerging technologies ? (c) Use cases of AI & Analytics Applications in Pharma industry
Key Takeaways: i. Understanding of the importance of Cyber Security in every aspect of our lives ii. Impact of Cyber Attacks in Governments, Corporate and even our homes iii. Brief introduction to Threat Intelligence & Darkweb – Major types of Threats, Threat Types, Threat Actors and Threat Groups, and how they attack vi. Introduction to Key Cyber Security areas & domains v. Key career opportunities in Cyber Security & Cyber Defense
Analytics industry has gone through several evolutionary stages, so are the associated career opportunities and roles. In the AI era, career opportunities are defined and executed differently. Explore and experience the new landscape of AI and Analytics career opportunities.
