Reimagining Manufactu turi ring with th Digital Technologies s Dr. Satya Ramaswamy Make Digital Mak al Real al | | Execute Smar art t
The Digital Five Forces and Composite Forces Big Data =1- g g • ! ; Iii - fJ Mindtree 2 - ~ ·~
How AI can help Reimagine Businesses? Neural network based AI systems with hardware acceleration aided by GPUs and FPGAs have surpassed human cognitive capabilities in key areas 5.1% Voice Transcription (word error rate) Google: 4.9% Image recognition ResNet152: 5.1% (ImageNet top 5 categories error) 2.25% Dermatologis Humans CNN: 95% Detecting skin cancer based on AI ts: 86.6% images fJ Mindtree 3 - ~ ·~
Enterprise Reimagination Driven by Digital Leveraging next generation technologies to reimagine an enterprise along six dimensions Business Products Customer Business Enterprise Sales Model & Services Segments Processes Experience Channels DOMAIN + TECHNOLOGY + CREATIVITY + CONTEXT f.J Mindtree 4
Digital Creates New Enterprise Equity + = Business Products Data Model Equity & Services + = Customer Brand Sales Segments Equity Channels + = People Business Enterprise Processes Experience Equity fJ Mindtree 5 - ~ ·~
American Engine Manufacturer Creates New Source of Revenue with Digital Business Challenge Solution Benefits Maturing product lines Telematics data from Proactive prediction of in competitive industry engine transmitted to engine failures limit revenue growth Cloud in near real-time prevents unexpected breakdowns Lack of demand Stream processing of visibility for spare parts engine telematics data New revenue source using Big Data on the from predictive Customer Cloud to proactively maintenance service dissatisfaction due to predict failures hours in sudden product failures advance Use of actual engine data (compared to Advisory messages to limited test-bed data) driver with route map to for product design nearest service station improvements f.J Mindtree 6
Global Oil & Gas Engineering Leader Aspires to Create New Business Models with Digital Business Challenge Solution Benefits Need to find new sources Digital Twin of operational New commercial offering of revenue leveraging core platform with sensor data of digital enabled capabilities integrated with platform maintenance services with PLM model disruptive business model Lack of visibility into platform performance post Real-time data ingestion, Increase project win rate installation distribution and processing by differentiating from a using modern Big Data technology enabler Difficult to penetrate technologies and AI perspective maintenance business due to heavy dependence Prioritized statuses, Platform for add-on new on skilled workforce alarms, and actuations for services and better predictive performance platforms design f.J Mindtree 7
Middle-east Shipping Company Enforces Safety Policy with Computer Vision Business Challenge Solution Benefits Accidents causing Convolutional Neural Accurate detection of safety avoidable loss and Network based Deep equipment use violations production downtime Learning algorithms to detect presence or Use of already installed Manual enforcement of absence of personal safety cameras. No additional safety is error prone and equipment on workers hardware investment costly needed Lowering of bandwidth Cannot install additional usage by using low frame Reduction of safety related equipment and have to rate (as low as 1 unplanned downtime use existing cameras and frame/second) sensors Evidence stored based on activity detection f.J Mindtree 8
Global Printer Manufacturer Creates New Distribution Model for Consumables Business Challenge Solution Benefits Unexpected toner Sensors in printers to Better experience for outage results in lost detect toner ink levels and customer due to productivity and communicate to central Big availability of ink always customer dissatisfaction Data system Better prediction of Lack of demand visibility Streaming data collection inventory levels, demand causes inventory and processing at very and production forecasting mismatch and pricing high data velocities inefficiency Direct connect with Interconnect with e- customers Channel dependency commerce system to removes direct connect enable automatic ordering to consumers of ink based on prior contract f.J Mindtree 9
Australian Retailer Wants to Reduce Shrinkage with AI Business Challenge Solution Benefits ‘Sweet-Hearting’ problem Advanced ‘activity Reduction of $25 million and other internal theft in detection’ algorithms in shrinkage per year liquor stores leading to using Convolutional 1/3rd of all shrinkage Neural Networks High-level of accuracy without additional Manual enforcement of Video from existing hardware investment Point-Of-Sale discipline is cameras costly and unpleasant Interconnect with Point- Cannot install additional Of-Sale data for equipment and have to forensic evidence use existing store setup such as cameras f.J Mindtree 10
European manufacturer reduces unplanned downtime with predictive analytics Business Challenge Solution Benefits Unplanned conveyor Inexpensive smart Excess inventory no belt downtime costly sensors retrofitted into longer needed to cover existing conveyor belt possible breakdowns Scheduled motors maintenance also not Parts and supplies most optimal Comprehensive rules for replaced only when condition monitoring and needed Excess inventory to prediction of failures account for possible Cost effective and breakdowns Benchmarking of quality highly scalable and efficiency through KPI monitoring f.J Mindtree 11
Global Car OEM Wants to Personalize Cabin Experience with AI Global Car OEM Wants to Personalize Cabin Experience with AI Business Challenge Solution Benefits Business Challenge Solution Benefits Opportunity to provide Neural network based Effective personalization personalized in-car vision algorithms for driver without user intervention experience for comfort identification, emotion Opportunity to provide Neural network based Effective personalization and safety features personalized in-car detection, gaze direction vision algorithms for without user intervention experience for comfort driver identification, and distraction level Single in-cabin camera and safety features emotion detection, Single in-cabin camera can detect and track driver gaze direction and can detect and track Drivers not keen on and passenger behavior – Drivers not keen on distraction level driver and passenger intrusive and user driven Driven by video from in- cost effective intrusive and user driven behavior – cost effective personalization cabin camera personalization Driven by video from in-cabin camera Drastic improvement in Cost of car components safety in addition to Drastic improvement in need to be kept to Integration with car occupant comfort Cost of car components Integration with car safety in addition to minimum systems for proactive need to be kept to systems for proactive occupant comfort responses from car minimum responses from car Background image must be that of inside of a car f.J Mindtree 12
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