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Agile Mumbai 2022 - Surajit Roy | Keynote - AI for Business Agility

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Agile Mumbai 2022 - Surajit Roy | Keynote - AI for Business Agility

  1. 1. AI FOR BUSINESS AGILITY PRESENTATION BY W W W . I D B I I N T E C H . C O M Surajit Roy Managing Director & Chief Executive Officer
  2. 2. Business Agility is a people-centered, organization-wide capability that enables a business to deliver values to a world characterized by ever- increasing volatility, uncertainty, complexity, and ambiguity (VUCA). — Business Agility Consortium Business Agility 1 WWW.IDBIINTECH.COM
  3. 3. 2 WWW.IDBIINTECH.COM Why we need Business Agility? Uncertain Events Technology Disruptions • Covid • Russia – Ukraine war • US Fed Rate Increase – Inflation imported • Oil Price Fluctuations • Macroeconomic factors like Inflation, Recession • Smartphones disrupted music, movie, media business totally. • Drones disrupted digital cameras, Agriculture techniques, defense. • Office space Glut due to work from Home – Capability. • 5G will disrupt Healthcare – will take patients close to Doctor. • Transport sector disrupted due to Platforms like Uber. • Solar Renewables/LED – Thrive for more from less. • Digital Fintech brings customers close to stock markets and Banks.
  4. 4. 3 WWW.IDBIINTECH.COM Why we need Business Agility – Continued? Continuous improvement by competition Business Model Changes • Hyper Commerce Model by Zepto, Blinkit forces Big Basket to introduce the same model. • Kindle introduced recently a subscription model instead of Book buying model – Kindle Unlimited – Disrupting the book publishing business.
  5. 5. 4 WWW.IDBIINTECH.COM Why AI is needed for Business agility? Any problem with a prediction component added to it becomes an AI problem - AI is all about Prediction. For better Prediction – we need more data – Better Algorithms to process data and effectively better Prediction Models. AI Model = Data + Algorithm Good prediction helps us to be better prepared and deal with uncertainties. AI helps us in Business Segmentation/ Marketing Propensity/ Consumption Models. AI helps us to understand our customers better – Process feedbacks and draw inferences quickly.
  6. 6. 5 WWW.IDBIINTECH.COM How AI helps Business Agility of Banks today?
  7. 7. 5 WWW.IDBIINTECH.COM How AI helps Business Agility of Banks today? • AI Helps in getting data processed about Individuals and Banks thrive on successful deposit mobilization and Successful loan disbursements. • The Business of the banks can be disrupted by -  Macroeconomic factors like Recession – when spending. becomes less.  Wrong loan disbursements to Business and Individuals. • AI gives a successful prediction whether a Loan can be disbursed.  Risk factors input as parameters can help accurate prediction of the credit worthiness of the Individuals.  Prediction can help to prepare for backups / Resiliencies. • Use AI to predict the impact of Macro Economic factors and prepare for changes better.  A good monsoon predicted by data from AI can help Banks to finance consumers better.
  8. 8. 6 WWW.IDBIINTECH.COM How AI Helps Manufacturing on Business Agility?
  9. 9. 6 WWW.IDBIINTECH.COM How AI Helps Manufacturing on Business Agility? • Manufacturing requires most optimized and non disruptive supply chain process.  Supply Chain disruption happens due to wars, Like - Ukraine – Russia war  Geopolitical Alignments  Weather Conditions  Pandemics • AI helps to predict the risk factors. • Supply Chain Agility has the following factors -  Inbound Logistics  Outbound Logistics  Logistics Routing • All the above factors requires backups – Resiliency factors. • Industry 4.0 has led to Supply Chain 4.0 due to Agility involved in Supply Chain.
  10. 10. 7 WWW.IDBIINTECH.COM How AI Helps Agility in Healthcare?
  11. 11. 7 How AI Helps Agility in Healthcare? WWW.IDBIINTECH.COM • Medical field advances are very agile – as the knowledge on Medical field doubles every five years leading to Agility of the healthcare field • Changes in Medical Fields due to discoveries and inventions leads to Medical personnel getting Outdated too often • AI – Helps to manage the agility on the knowledge by offering tools to manager Knowledge. • It helps to personalise the delivery of care, improve access by providing accurate decision- making tools. • Technologies like BERT 2.0 (AI technique from Google) helps us to manage knowledge better.
  12. 12. 8 WWW.IDBIINTECH.COM AI Creates Business Agility
  13. 13. 8 AI Creates Business Agility WWW.IDBIINTECH.COM • Today AI helps Business to give competitive advantage and all Businesses use AI to create a disruption. • Google Acquired DeepMind AI company in 2016.  Used DeepMind AI technique to reduce the cost of DC operations by 40%.  Created a competitive Advantage. • Swiggy is testing the Middle Mile delivery improvement using Drones creating a new Business Agility for the competitors. • Farmers are Optimizing the use of pesticides and fertilizers using the precision irrigation techniques leading to a Agility in Agricultural field. • One of the most important features of Amazon is the fantastic recommendation systems.
  14. 14. 9 WWW.IDBIINTECH.COM AI and Business Agility are here to Stay • Business Agility is a new normal. • Frequency of changes in business has become a norm. • AI is an excellent technology to handle disruptive growth in Business. • Business Models which are hard to change, rely on both prescriptive and predictive analytics. The former creates intelligent recommendation for the next optimal steps for shift in business strategy.
  15. 15. 9 WWW.IDBIINTECH.COM Chatbot - Enhancing Business • It supposed to conduct a conversation with a human using textual or auditory methods, and improve its answers with the help of data collection. • Chatbot is excellent for businesses such as banking, financial services, restaurants and online delivery services who know in advance what common solutions a customer may require. • Before making any transaction, most customers asks some of questions regarding what they are paying for. Answering such repetitive questions will take up your customer support’s valuable time and resources. • Chatbot saves time, money, manpower. It is Instant & 24/7 - A chatbot, unlike a customer support agent, never takes breaks, sleeps or goes offline.
  16. 16. 9 WWW.IDBIINTECH.COM Chatbot - Enhancing Business • It supposed to conduct a conversation with a human using textual or auditory methods, and improve its answers with the help of data collection. • Chatbot is excellent for businesses such as banking, financial services, restaurants and online delivery services who know in advance what common solutions a customer may require. • Before making any transaction, most customers asks some of questions regarding what they are paying for. Answering such repetitive questions will take up your customer support’s valuable time and resources. • Chatbot saves time, money, manpower. It is Instant & 24/7 - A chatbot, unlike a customer support agent, never takes breaks, sleeps or goes offline.
  17. 17. 9 WWW.IDBIINTECH.COM Chatbot - Enhancing Business • It supposed to conduct a conversation with a human using textual or auditory methods, and improve its answers with the help of data collection. • Chatbot is excellent for businesses such as banking, financial services, restaurants and online delivery services who know in advance what common solutions a customer may require. • Before making any transaction, most customers asks some of questions regarding what they are paying for. Answering such repetitive questions will take up your customer support’s valuable time and resources. • Chatbot saves time, money, manpower. It is Instant & 24/7 - A chatbot, unlike a customer support agent, never takes breaks, sleeps or goes offline.
  18. 18. www.idbiintech.com @idbiintechltd @idbiintechltd @idbiintechltd @idbi_intech THANK YOU

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  • One of the most important features about a company like Amazon is the fantastic recommendation systems that are provided by these companies. A technology like recommender systems works on the principle of machine learning, where there are mainly two types of recommendations — collaborative and content based filtering. Based on the users preference, some of the best recommendations are bestowed to the users.

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