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1、Opportunities in the drone sector with the adoption of AI and blockchain 2 PwC|ASSOCHAM|Opportunities in the drone sector with the adoption of AI and blockchainTable of contents 1.Drones:An overview of the market 09 2.Blockchain technology,geospatial AI and drones.13 3.Drone technology areas of impl

2、ementation.17 4.PwCs suggested framework and recommendations.20 5.Future growth opportunities for the drone sector.25 6.Way forward.26 2 PwC|ASSOCHAM|Opportunities in the drone sector with the adoption of AI and blockchain 3 PwC|ASSOCHAM|Opportunities in the drone sector with the adoption of AI and

3、blockchainForeword Taranjit Singh Chairman ASSOCHAM Eastern Region Development Council Drones,AI,and blockchain technology have the potential to completely change a wide range of businesses as we approach the dawn of a technological revolution.While the convergence of these revolutionary technologie

4、s offers hitherto unseen growth prospects,it also brings with it special difficulties that need careful manoeuvring.Future growth prospects of the drone industry using blockchain technology and AI,handling related risks and cybersecurity issues,and investigating environmentally friendly technical so

5、lutions are the main subjects touched upon.It is a privilege for ASSOCHAM to collaborate with PwC for this report on Opportunities in the drone sector with the adoption of AI and blockchain.We hope that the report will strengthen our efforts to support innovation and technical growth in India.3 PwC|

6、ASSOCHAM|Opportunities in the drone sector with the adoption of AI and blockchain 4 PwC|ASSOCHAM|Opportunities in the drone sector with the adoption of AI and blockchainForeword Perminder Jeet Kaur Senior Director ASSOCHAM Eastern Region The convergence of drones,AI,and blockchain technology is set

7、to revolutionise numerous industries,offering unprecedented opportunities.The integration of AI with drone technology represents a significant leap in autonomous systems.AI empowers drones with enhanced autonomy,intelligence and decision-making abilities.The future of AI-powered drones holds promisi

8、ng prospects,this also calls for ethical frameworks and responsible deployment.In India,drones have a key role to play in the agriculture,disaster management,public services,mining and defence sectors.The report in partnership with PwC addresses key topics like managing cybersecurity risks,exploring

9、 sustainable tech solutions,and integrating drone technology with blockchain and AI.4 PwC|ASSOCHAM|Opportunities in the drone sector with the adoption of AI and blockchain 5 PwC|ASSOCHAM|Opportunities in the drone sector with the adoption of AI and blockchainForeword Sudipta Ghosh Partner,Data and A

10、nalytics Leader,Industrial Products Leader PwC India Once a specialised technology,drones are now indispensable in many fields.Drones equipped with AI have access to sophisticated data processing capabilities that allow them to adjust to changing conditions and make judgements in real time.For insta

11、nce,drones with AI capabilities are transforming crop management in agriculture by evaluating enormous volumes of data to optimise growing conditions and yield forecasts.These smart drones are also enhancing response times and efficacy in disaster response by offering vital real-time information for

12、 search and rescue operations.AI-powered drones are also improving security and surveillance systems.Drones can monitor large areas for possible threats or environmental changes by utilising picture recognition and pattern analysis.This opens up new possibilities for infrastructure management,securi

13、ty and wildlife protection.Though promising,technological breakthroughs also raise significant ethical and regulatory questions.Therefore,it is important to address potential data security issues and ensure that AI-enabled drones can be used ethically.Maximising the advantages and minimising the neg

14、ative impacts of this technology will require a balance between innovation and ethical issues.This paper offers a comprehensive analysis of the present uses of AI-enabled drones and potential future developments in drone technology.It seeks to provide insights into how the technological synergy betw

15、een AI and drone technology can transform numerous sectors and open up new development options by showcasing noteworthy use cases and real-world applications.5 PwC|ASSOCHAM|Opportunities in the drone sector with the adoption of AI and blockchain 6 PwC|ASSOCHAM|Opportunities in the drone sector with

16、the adoption of AI and blockchainForeword Arijit Chakraborti Partner,Technology Consulting PwC India The combination of blockchain,drone technology,AI and geospatial analytics is a significant development in aerial vehicles.Important insights into spatial patterns are provided by geospatial analytic

17、s which can be enhanced with AIs real-time and predictive capabilities.Blockchain safeguards the integrity of the data by introducing a crucial layer of security and transparency.Drones with sophisticated sensors provide unmatched capabilities for data collection and monitoring and help in enhancing

18、 the efficacy of AI and geospatial analytics.The adoption of blockchain technology can open up new options like catastrophe management,urban planning and environmental monitoring.In a world where combining geospatial analytics,AI,blockchain and drones is important for innovation,this paper discusses

19、 the applications of these technologies with drones to demonstrate how drone technology can solve various problems such as public safety and traffic management.6 PwC|ASSOCHAM|Opportunities in the drone sector with the adoption of AI and blockchain 7 PwC|ASSOCHAM|Opportunities in the drone sector wit

20、h the adoption of AI and blockchainForeword Dr Indranil Mitra Partner,Advanced Analytics Lead PwC India Drones are important tool in bridging the divide between digital and physical systems,aligning with the principles of Industry 4.0,which emphasises the integration of advanced technologies such as

21、 the Internet of Things(IoT),artificial intelligence(AI),and big data.Today,drones have become indispensable across various sectors.Those equipped with AI capabilities possess advanced data processing skills,allowing them to adapt to dynamic environments and make real-time decisions.The integration

22、of AI with drone technology signifies a significant advancement in autonomous systems,enhancing drones intelligence,autonomy and decision-making capabilities.While AI-enabled drones hold great potential for the future,their responsible deployment and adherence to ethical guidelines are essential.Thi

23、s paper offers a comprehensive analysis of current applications of AI-enabled drones and explores potential advancements in drone technology.It aims to illuminate how the synergy between drone and artificial intelligence technologies can transform multiple industries and create new opportunities for

24、 growth.7 PwC|ASSOCHAM|Opportunities in the drone sector with the adoption of AI and blockchain 8 PwC|ASSOCHAM|Opportunities in the drone sector with the adoption of AI and blockchainForeword Ankur Basu Partner,Industry 4.0 Leader PwC India In the age of Industry 4.0,drone technology is an essential

25、 tool for transforming various processes across industries to enhance automation,operational efficiency and data collection.Drones are essential for connecting digital and physical systems since Industry 4.0 stresses the integration of cutting edge technologies such as the internet of things(IoT),AI

26、 and big data.Drones can also improve the operations of the logistics and supply chain sector by improving inventory management and enabling real-time tracking of shipments.They can also expedite operations and shorten delivery periods by making quick deliveries,particularly in difficult-to-reach lo

27、cations.Drones are also used in the energy sector to maintain and check vital infrastructure such as pipelines and power lines to ensure safety and reduce downtime.By offering precise overhead views and gathering data in dangerous or difficult situations,drones also help in improving the safety and

28、efficiency of the people and processes in mining and environmental monitoring sectors.8 PwC|ASSOCHAM|Opportunities in the drone sector with the adoption of AI and blockchain Figure 1:A general workflow for image acquisition from UAV Flight parameters Ground sample distance Camera information Flight

29、height Area of interest Flight parameters Platform Mission planning Imageacquisition Feature extraction Orthomosaic image 3D modelling Image stitching/mosaic Digital photogrammetryImage triangulation Additional parameters Camera calibration GCP DTM/DSM generation Ground control station Auto-pilot Dr

30、ones:An overview of the market In an ever-evolving tech landscape,various industries like construction,real estate,e-commerce,agriculture,utilities and energy,financial services,and media and entertainment are seeking ways of implementing drone technology in their operations.Due to the merging and q

31、uick advancement of two entirely distinct technologies radio communication and smartphones both consumer and commercial drones can collect data which can be leveraged for various purposes in different industries.Drones Drones or unmanned aerial vehicles(UAVs)can either be operated autonomously using

32、 pre-programmed instructions or controlled by human operators.UAVs are available in various shapes and sizes and are equipped with a variety of equipment that allows them to function well.Based on maximum all-up weight(including payloads),as per Indias Drone Rule,2021,drones can be classified as fol

33、lows:Nano UAS:Weighs 250 grams Small UAS:Weighs 2 kilograms and 25 kilograms Micro UAS:Weighs 250 grams and 2 kilograms Medium UAS:Weighs 25 kilograms and 150 kilograms Drones are commonly used for image acquisition and processing which helps in surveillance activities in the defence,agriculture and

34、 construction sectors.An overview of the workflow for image acquisition using UAV is given in Figure 1 below.Source:PwC analysis Since drones are a flexible and affordable alternative to traditional piloted aircraft for aerial view,their use as remote sensing platforms has acquired widespread accept

35、ance.For example,drone data maps can be leveraged to develop active communication tools.Furthermore,drones can monitor sector-wise,real-time data and offer contextual insights,which enables businesses to make better decisions.1 https:/static.pib.gov.in/WriteReadData/specificdocs/documents/2022/mar/d

36、oc202232932501.pdf 9 PwC|ASSOCHAM|Opportunities in the drone sector with the adoption of AI and blockchain Table 1:Percentage share of each industry in the total drone market Industry segment%share of total drone market Infrastructure 36%Agriculture 25%Transport 10%Security 8%Media and entertainment

37、 7%Insurance 5%Telecommunication 5%Mining 3%Source:PwC analysis Global drone market:An overview The increasing adoption of drones in various sectors has been a major driver of the growth of the global drone market as drones are predominantly being used for various applications such as delivery servi

38、ces,surveying,inspection and monitoring.The integration of drones with e-commerce delivery platforms is also evolving rapidly since many companies are developing drones which are specifically meant for commercial use related to agriculture,defence and asset monitoring.According to a PwC report,the g

39、lobal commercial drone market has grown and will continue to grow at a CAGR between 16%and 17%.2 The percentage distribution of the total revenue from each industry segment is depicted in Table 1.The global drone market is segmented into two categories:1.Rotary wing drones:Also referred to as a quad

40、copter or multicopter,a rotary wings drone generates lift and stability through the use of several spinning blades,which enables hovering and vertical takeoff and landing.2.Fixed wing drones:Using its fixed wings for lift and forward drive,a fixed wing drone mimics a regular aeroplane.Though this al

41、lows for higher speeds and longer flying times,it also necessitates the use of runways or other launching devices for takeoff and landing.The growth of each segment in the global drone market is driven by the unique capabilities of drones along with their potential to perform agile manoeuvres while

42、maintaining continuous visual contact with specific targets.According to a study conducted by PwC,72%3 of the organisations today feel positive about commercial drones.There is a strong positive sentiment around the expected benefits that can be derived from the adoption of drones for performing var

43、ious functions(represented in table 2).2 https:/www.pwc.in/assets/pdfs/publications/2018/flying-high.pdf 3 https:/www.pwc.co.uk/issues/technology/drones/building-trust-commercial-drones.html 10 PwC|ASSOCHAM|Opportunities in the drone sector with the adoption of AI and blockchain Table 3:Focus areas

44、to improve the effective implementation of drones Benefits%of survey participants agree Credible drone service providers 63%Clarity of use case benefit 59%Industry specific qualification 56%Reviewing the regulations 44%Source:https:/www.pwc.co.uk/issues/technology/drones/building-trust-commercial-dr

45、ones.html Table 2:Possible areas where organisations can benefit by using drones Benefits%of survey participants agree Time savings 88%Carbon reduction 87%Safety 86%Cost reduction 86%Productivity 84%Source:https:/www.pwc.co.uk/issues/technology/drones/building-trust-commercial-drones.html However,on

46、ly 43%4 of the organisations think that the industry is using commercial drones effectively and its use can be improved by focusing on the factors given in Table 3.The Indian drone market The drone market in India continues to expand and this expansion is driven by advancements in technology and cha

47、nging consumer preference.As the market and the global tourism sector recovered gradually after the COVID-19 pandemic,the growing popularity of drones for recreational use and aerial photography also created a wide range of opportunities in various sector such as agriculture,defence and mining.India

48、 has set a target to become a major global drone manufacturing hub by 2030,and this ambition is expected to boost the countrys gross domestic product(GDP)by 11.5%and create at least five lakh jobs in the coming years.5 Drones have been identified as a crucial part of the industry 4.0 ecosystem as th

49、e adoption of drones can enhance data accuracy and efficiency since it can automate tasks related to inspection,monitoring and provide real-time data.These unique features of drone technology allow predictive maintenance by detecting early sign of any possible malfunction and facilitate immediate de

50、cision-making and operational adjustment.Its ability to swiftly gather and analyse information blends seamlessly with other industry 4.0 technologies like AI and the internet of things(IoT)to enhance industrial processes,reduce expenses,improve safety and ensure smooth resource allocation.4 https:/

51、5 Ibid 11 PwC|ASSOCHAM|Opportunities in the drone sector with the adoption of AI and blockchain Key drivers of drone industry in India The rise of the drone industry in India began with the governments introduction of liberalised drone regulation in August 2021,which was expected to propel India int

52、o an era of supernormal growth.6 These regulations simplified the bureaucratic process by reducing the number of required forms and permissions from 25 to five and removed the need for security clearances during registration and licensing.The Ministry of Civil Aviation identified five key pillars7 t

53、o establish India to be a drone hub in coming years:1 ease of doing business(Drone Rules 2021)2 financial incentives(production-linked incentive scheme)3 government as market maker(procurement by government)4 export liberalisation 5 domestic industry promotion(import prohibition).Another key decisio

54、n for promoting the drone industry was the introduction of a certification scheme and the abolition of the requirement for a drone pilot license in February 2022.8 While the elimination of the need for a pilots licence lowers entry barriers for people and enterprises,the certification scheme standar

55、dises training,guaranteeing that the operators can fulfil the safety and operating criteria which has accelerated the adoption of drones in various industries like infrastructure,agriculture and disaster management.Additionally,the government also introduced a scheme to supply drones to over 15,000

56、self-help groups(SHG)led by women from 2023-24 to 2025-2026.The women from these SHGs will offer drones as a rental service to farmers to monitor crop health and for other uses in the agriculture sector.9 These initiatives have helped in the expansion of drones across all sectors.The government has

57、facilitated the use of drones by businesses and people by removing the requirement for security clearances and pilot licenses,expediting the regulatory procedure and lowering bureaucratic barriers.Liberalisation of exports and prohibitions on the purchase of foreign drones encourage innovation and h

58、ome manufacturing.Drone training institutes and certification programmes are also enabling the development of a trained workforce.These developments have led to the adoption of drones in various industries including agriculture(drones are used for precision farming and crop monitoring),construction

59、and infrastructure(aerial surveys and inspections are beneficial),mining(better data collection),disaster management(search and rescue operations are improved),and healthcare(medical supplies are delivered to remote areas by drones).6 Ibid 7 Ibid 8 https:/sansad.in/getFile/loksabhaquestions/annex/17

60、9/AU3021.pdf?source=pqals#:text=The%20Drone%20(Amendment)%20Rules%2C,remote%20pilot%20to%20operate%20drones.9 https:/legalaffairs.gov.in/sites/default/files/Civil%20Aviation%20Regulatory%20Landscape%20of%20Indian%20Drone%20Ecosystem%20red.pdf 12 PwC|ASSOCHAM|Opportunities in the drone sector with th

61、e adoption of AI and blockchain Blockchain technology,geospatial AI and drones This section explains how companies are attempting to integrate drone technology with other technologies such as AI and blockchain.Enabling drones with blockchain Many organisations are working towards developing an integ

62、rated solution for drones and blockchain technology.While blockchain technology can improve operational efficiency,transparency and data security,drones can provide large volumes of data which comes from real-time sensor readings and aerial imagery which is vital for many industries including logist

63、ics,agriculture and defence.Given below are some of the advantages of integrating drones with blockchain:1.Every drone can have an unchangeable,safe digital identity with the help of blockchain technology.This avoids impersonation and guarantees that only authorised drones are identified.For example

64、,every drone involved in a relief mission has its identity documented on the blockchain.This keeps unauthorised or fraudulent drones from interfering with the task by guaranteeing that only verified drones can function inside the system.2.Blockchains decentralised ledger facilitates the separation o

65、f authentic drones from counterfeit ones.It is harder for fake drones to enter the network when a safe register of all drones is kept up to date.For example,in an environment monitoring project,blockchain technology ensures the authenticity of each drone through its secure ledger.Unauthorised drones

66、 are detected and prevented from contributing to data collection,ensuring that only genuine drones are utilised.3.The security of drone communications is strengthened by blockchains cryptographic and decentralised features,making it less vulnerable to hacking and other cyber threats.Drone communicat

67、ions in security surveillance tasks are protected and encrypted using blockchain technology.This stops any unauthorised entry or interference with the data being sent between drones.Next,to scale the implementation of drone technology effectively,organisations can consider the internet of drones(IoD

68、)technology which combines blockchain with drone networks to improve data integrity,security and transparency.Through IoD,drones can safely exchange and record flight data,transactions and operational records in an immutable ledger by utilising blockchain technology.13 PwC|ASSOCHAM|Opportunities in

69、the drone sector with the adoption of AI and blockchain Figure 2:A high level solution architecture for blockchain-enabled IoD Request for a drone for Request Cloud server a particular missionMultiple drones Users Commands Responseand control Telemetry RequestOrbit DB+data IPFS Ground control Blockc

70、hain station(GCS)networkData to be stored Source:PwC analysis This connection enhances regulatory compliance,streamlines drone operations across many applications and fosters trust and collaboration among multiple stakeholders.The major components that goes into the making of IoD comprises drones,us

71、ers,ground control station,blockchain network,cloud-based servers and an orbit database.A high level solution architecture which provides an overview of implementing IoD is given below(Figure 2).The architecture for blockchain-enabled IoD consists of six components:Multiple drones and UAVs equipped

72、with sensors to gather a wide range of data.Ground control station(GCS)which plays a crucial role in the operation and management of UAVs along with receiving data and sending command.Users often access data of drones and GCSs along with other parameters for certain purposes.Blockchain network to ma

73、intain a distributed immutable database for UAV operations and data management.In a blockchain network,the recorded transactions are shared among all nodes in the network.In a blockchain-enabled architecture,where users,UAVs,and GCSs act as nodes within a blockchain network,each component plays a cr

74、ucial role in maintaining the blockchain and participating in the consensus protocol.Cloud server is used to offload computation from the drone offers several advantages,particularly in terms of optimising mission execution and extending the drones flying time.Orbit DB along with inter-planetary fil

75、e system(IPFS)is used as an off-chain database for UAV data to overcome the limitations of blockchain in handling large datasets.14 PwC|ASSOCHAM|Opportunities in the drone sector with the adoption of AI and blockchain Figure 3:The five essential functionalities to implement DroneChain Upcoming funct

76、ionality Data sharing and collaboration Smart contracts for regulatory compliance Drone identification and registration Flight logging and tracking Data security and integrity Source:PwC analysis DroneChain blockchain-based drone communication With the widespread adoption of drones in various domain

77、s registration information to ensure compliance of the such as military,agriculture and logistics,effective solutions drones processes.to protect data integrity and communication between 2.Flight logging and tracking:It provides real-time drones and the control system have become important tracking

78、and employs geofencing to implement and to avoid potential vulnerabilities which may lead to data enforcement of no-fly areas.breaches and losses.For secure drone communication during data collection and transmission and to maintain the 3.Data security and integrity:It gives safe storage of data int

79、egrity of the collected data,a decentralised solution that collected by drone on the blockchain along with data uses blockchain technology in addition to the traditional integrity and authenticity verification ensures that the cloud server can be a viable solution.data has not been altered.DroneChai

80、n is a blockchain based solution that enables 4.Smart contracts for r egulatory compliance:Smart communication between multiple drones.Some of the contracts provide automate regulatory reporting primary features of DroneChain are consensus techniques,including pre-defined flight height and demarcate

81、d self-amendment and simple verification.restricted areas,and compliance checks in real time.Some of the key measures which organisations must take 5.Data sharing and collaboration:DroneChain allows into account before deploying DroneChain(represented in safe data exchange between parties with block

82、chain Figure 3)are:technology.It also supports collaborative drone operation and mission and assures interoperability 1.Drone identification and registration:This gives across various system.each drone a unique digital id and keeps track of the 15 PwC|ASSOCHAM|Opportunities in the drone sector with

83、the adoption of AI and blockchain Figure 4:GeoAI an illustration Geospatial data extraction with deep learnin GeoAI works Predictive analysis with ML Improve data quality and consistency The data generation workflow to be automated to improve data quality with less error,increase efficiency and redu

84、ce cost Introducing locational intelligence Data-driven decisions with real world awareness,Improve business outcomes with insight from spatial patterns and accurate predictions.Analysis of real-time events Fast real-time data interpretation from videos to enable quicker response and proactive decis

85、ion.Source:PwC analysis Drones with AI and geospatial AI AI-enabled drones are capable of carrying out tasks like learning(ML)algorithms which can improve their capacity to object/picture identification and pattern analysis.This conduct activities like environmental monitoring,search and enables the

86、m to conduct difficult operations with little rescue,and surveillance.assistance from humans.For instance,AI-enabled drones Geospatial AI(GeoAI)is the application of AI on geospatial use airborne photos to detect insect infestations or disease data.GeoAI can help organisations by:symptoms in order t

87、o assess crop health.Similarly,in urban planning,these drones can analyse high-resolution photos a)r educing the time taken to extract geospatial data from and data to evaluate the state of the infrastructure and high resolution imagery captured by drones.identify maintenance needs.b)since data coll

88、ected by dr ones has large volumes of With AI,drones can now process data in real-time which geospatial data sets,it can be analysed more precisely significantly increases their efficiency.They can be trained and accurately by GeoAI algorithms rather than by to recognise particular traits or anomali

89、es using machine conventional techniques.GeoAI uses cutting-edge techniques and algorithms to extract valuable information from spatial data which is important to the geographic information systems(GIS)sector to enhance decision-making and improve resource management.GeoAI uses ML algorithms to iden

90、tify intricate patterns,correlations and anomalies in geographic datasets to improve the interpretation of geographical data.This analytical expertise fosters a thorough comprehension of spatial dynamics,empowering decision-makers in a variety of fields,including urban planning,environmental monitor

91、ing,disaster management,agriculture and transportation.Since GeoAI uses automation to simplify GIS data processing and analytic processes,GIS specialists may focus on drafting plans based on the information provided by automated devices and ML and AI-based algorithms.With the use of historical geogr

92、aphical data,GeoAI can improve forecasting and predictive modelling by identifying patterns and trends.It can also provide real-time monitoring of these devices which can be beneficial for monitoring air quality,traffic patterns and infrastructure health to maximise resource utilisation and improve

93、public safety.16 PwC|ASSOCHAM|Opportunities in the drone sector with the adoption of AI and blockchain Figure 5:Use cases of drones in various sectors Potential use cases of drones Mining Stockpile management Monitoring and operation planning Haul road optimisation Hazard identification and mitigati

94、on Telecom Tower inspection and maintenance Improved safety Disaster management Hazard and exposure mapping and risk assessment Mapping and monitoring the extent of disaster Agriculture Monitor plant health Precision farming Perform plant count Infrastructure planning Site analysis Asset mapping and

95、 monitoring Construction management and monitoring Environmental monitoring Population monitoring Monitor land changes Classify areas Real estate Better property marketing Cost-effective Increased efficiency Urban planning City modelling Corridor mapping Urban landscape planning Land record manageme

96、nt Traffic management Source:PwC analysis Drone technology areas of implementation Drones are gaining popularity in several industries,including public safety,construction,urban planning and agriculture since this technology offer enhanced efficiency and precision.UAV or drone sectors are expanding

97、quickly,particularly in business sector.Some of the sectors which are adopting drone technology are discussed in the next section.Areas of implementation From mining to real estate and from telecom to urban planning,drone technology is being adopted and implemented in various sectors due to its abil

98、ity to automate tasks,provide costeffective solutions and ensure precision in data monitoring.Figure 5 gives an overview of some of the industries where drones can be implemented for various purposes.17 PwC|ASSOCHAM|Opportunities in the drone sector with the adoption of AI and blockchain The integra

99、tion of drones with blockchain further enhances the use of drones.While drones can enhance crop monitoring and improve transparency in the supply chain in agriculture,blockchain guarantees data accuracy and traceability with data encryption and verification,which also makes it ideal for use in the d

100、efence sector for their drone operations.Effective asset tracking and maintenance is beneficial for both manufacturing and infrastructure.Some of the sectors which can leverage drone technology are:Agriculture:AI-powered drones can be used for automating tasks such as precision crop monitoring,field

101、 mapping and automated spraying.Integrating blockchain,AI and drone technology can facilitate data sharing with farmers,agronomists and regulatory bodies.Defence:In the defence sector,drones are used primarily for surveillance and combat operations.However,a multipurpose GeoAI model can help in iden

102、tifying objects based on key inputs while blockchain can ensure a secure platform for storing and transmitting surveillance data and the results of GeoAI models.Disaster management:High resolution images captured by drones can be used to detect which houses are more prone to damage due to natural di

103、sasters such as landslides,hurricanes and cyclones.The addition of blockchain verifies the authenticity of these deep learning models and their predictions based on reliable and unaltered data.Manufacturing:Improving quality control using high resolution sensors along with AI-powered identification

104、of anomalies can help detect potential defects or deviations from set standards.Smart contracts along with blockchain technology sends alerts and reports based on the anomalies detected and ensures timely action for addressing the anomalies and helps in maintaining a centralised record of quality co

105、ntrol processes.Infrastructure development:Drones equipped with light detection and ranging(LiDAR)sensors and AI-driven high-resolution cameras can be used to examine important structures such as electricity lines and bridges.These drones can autonomously scan the various components of infrastructur

106、e for possible defects and produce detailed reports which can be used to derive actionable insights.A comprehensive audit trail can also be ensured by integrating drone technology with blockchain which can track the inspection and repair.Mining:Drones have revolutionised the mining industry by coupl

107、ing AI with drone technology.The technology is used at large mine sites for quarry management and to gain information related to the sites condition.Blockchain can further track and record all data collected during the mining operations.Road traffic:Drones can also help the police in monitoring traf

108、fic by providing live data on traffic congestion.By recording traffic data on blockchain,law enforcement officials can create a log of events which can facilitate transparency and accuracy of large volumes of data.Healthcare:Delivering medical supplies to isolated or underdeveloped areas is a compel

109、ling use case for drones in healthcare services.Essential supplies like immunisation,drugs and blood products can be delivered by drones to areas which are inaccessible by conventional means of transportation.Drones,for example,can make timely deliveries in remote or rural regions,guaranteeing that

110、vital medical supplies are available when needed.This capacity not only increases the effectiveness of healthcare logistics but also ensures timely access to supplies in emergency cases by cutting down on the time taken to deliver the medical supplies expands access to treatments in emergency cases

111、by cutting down on delays.Furthermore,integrating blockchain can improve supply chain transparency as it can track the entire delivery process.This would allow healthcare providers to verify the authenticity and integrity of the supplies,thereby reducing cases of fraud or counterfeit medicines.Telec

112、om:By using high-resolution photography and video to audit and check communications assets,including towers and wireless infrastructure,drones can enable the telecom industry to monitor telecommunication assets to reduce the risk associated with manual operations which involve climbing communication

113、 towers and high buildings.Embedded with blockchain,these solutions can create detailed records of inspections and findings and can facilitate audits and maintenance while minimising the need for manual inspection.18 PwC|ASSOCHAM|Opportunities in the drone sector with the adoption of AI and blockcha

114、in Drone-based solutions for various sectors Drone technology is transforming various industries by providing innovative solutions which enhance efficiency,precision and overall effectiveness of the operations.After the identification of the use cases in each sector/segment,the right technology need

115、s to be identified for the specific requirements of each sector.Figure 6 illustrates some of the examples of some of the drone-based solutions in various sectors.Figure 6:Drone-based solutions across various sectors Agriculture Monitoring plant health Crop maintenance Field condition inspection Plan

116、t count Energy and utilities Drone-based solutions Media and entertainment Site Monitoring Cinematography Powerline inspection Aerial photography Energy reading Damage inspection Infrastructure 3D modelling Land mapping Site inspection Construction management Source:PwC analysis Insurance Crop yield

117、 data assessment Risk monitoring Deploying drone for insurance inspection Mining Mine monitoring Infrastructure and equipment monitoring Volumetric calculation Terrain mapping Drones and sustainable development Besides automating tasks related to surveillance and require the use of other modes of tr

118、ansportation.For distribution,drones can also help organisations in achieving example,drones can be used for transporting medicine or their sustainable development goals.Drones can be other medical accessories to remote locations which are an energy-efficient alternative for other methods of inacces

119、sible by road or air.transportation,and inspection and monitoring.Some of the Sustainable cities and communities:Drones can help ways in which drone technology can help various sectors improve emergency response in cities by monitoring and achieve some of the UNs Sustainable Development Goals contro

120、lling natural disasters and taking immediate measures are:to save lives.Drones can also be used as a sustainable Good health and well-being:Drone technology can solution to provide smart crowd management,traffic provide access to vital healthcare services,including management,etc.vaccine distributio

121、n in remote or rural areas.Climate action:Drones can be used for monitoring the Decent work and economic growth:Drones contribute changes in ecosystems due to climate change.It can to economic sustainability by creating new business monitor and provide data related to areas that need opportunities a

122、nd increasing efficiency in various sectors.immediate care and sensitive ecosystems in order to plan Drones can streamline operations in labour-intensive remedial and preventive actions.sectors such as site monitoring and inspection work by Life of land:Drones can monitor vast expanse of land and au

123、tomating the tasks using drone technology which are provide data related to deforestation,land degradation traditionally done manually.The automation of these tasks and agricultural land.This data can be used to plan and can also lead to cost savings and improve the overall implement sustainable man

124、agement practices.Drones productivity of the processes.can also provide high-resolution imagery which can be Industry,innovation and infrastructure:Drones offer integrated with data from other sources(e.g.satellites)to sustainable and energy-efficient solutions for creating enable the agriculture in

125、dustry in planning the spraying of and evaluating infrastructure or performing duties that herbicides,irrigation and other uses.19 PwC|ASSOCHAM|Opportunities in the drone sector with the adoption of AI and blockchain PwCs suggested framework and recommendations While managing infrastructural challen

126、ges and cybersecurity risks is a top priority for adopting drone technology,having the right framework to mitigate these risks is important before the technology is implemented.Managing cyber security risks The integration of drones into various sectors also makes multilayered,comprehensive framewor

127、k is necessary.This the operations vulnerable to significant cybersecurity framework,which combines operational,technological and challenges which need to be addressed to ensure data regulatory elements,provides a robust approach to manage integrity,operational safety,and data privacy.Some of the cy

128、bersecurity threats.challenges in adopting drone technology are:Given below is a proposed multi-layered cybersecurity Security concerns:Drones are vulnerable to several framework which can be used for securing drone cybersecurity threats which can jeopardise data security operations.and operational

129、integrity.If not properly encrypted,the data 1.Detection layer:The detection layer is responsible captured during transmission can be misused.Furthermore,for spotting possible drone threats using cutting-edge the security and operations of drone software can be sensors and monitoring tools to guaran

130、tee prompt jeopardised by malware or hacking if there are no adequate and precise identification of breaches.Some of the data security protection measures in place.Reducing these technological tools and strategies for detecting drone dangers and protecting drone operations from cyberattacks movement

131、 are:requires strong encryption,frequent software updates and secure communication protocols.a)Radar system:Radar is a key technology for detecting and tracking drones,particularly due to its ability to Public perception and acceptance:Negative perceptions monitor their size,speed and movement patte

132、rns.around drones can significantly impact their adoption and integration into various industries.Building trust through b)Infra-red sensors:In low visibility conditions,infrared transparency and training the workforce about drones and camera can help to detect drones.its use is essential for overco

133、ming these hurdles.c)Control centres:Integrated command and control Drones are susceptible to cyberattacks due to their reliance centres are crucial for effectively monitoring and managing on wireless connections.As a result,bad actors can threats.intercept,spoof and hijack these devices.Furthermore

134、,critical data or networks may be accessed by intercepting 2.Identification layer:Using detailed images of drones the data sent between drone operators and their vehicles.along with complex algorithms and data processing Drone-based cyberattacks can interrupt operations which techniques,this step se

135、gregates possible threats from can lead to financial and reputational losses.As a result,genuine drone activities by:both commercial and military applications are becoming a)Decoding contr ol signals:Decoding control signals increasingly concerned about cybersecurity.To detect to gather information

136、about a drone and its operator and address cybersecurity issues related to drones,a 20 PwC|ASSOCHAM|Opportunities in the drone sector with the adoption of AI and blockchain involves intercepting and analysing the communication potentially neutralising its threat or redirecting it away between the dr

137、one and its remote controller.This from sensitive areas.process can provide valuable insights,such as the b)No fly zone:Implementing geofencing is an effective drones operational status,its position and the identity or strategy for controlling drone operations and ensuring location of its operator.t

138、hat drones stay out of restricted or no fly zones.b)Suspicious activity detection:This process can 4.Legal and ethical considerations:This layer ensures provide valuable insights such as identify unusual or that the responses to drone threats adhere to legal abnormal behaviour in drones,includes sen

139、sor attack,requirements and data regulations Communication network attack,which is very crucial for detecting potential threats.a)Regulatory compliances:In order to ensure that counter-drone measures are effective,both legally and 3.The mitigation layer:The mitigation layer entails operationally,org

140、anisations must adhere to national developing policies and leveraging technology to control regulations.and eliminate threats which have been identified while ensuring that efficient countermeasures are in place.b)Community No-fly zone:Educating the people about a)Spoofing:recognizing and reporting

141、suspicious drone activity is GPS spoofing involves sending fake GPS essential for enhancing community safety and ensuring signals to a drone.The objective is to mislead the timely intervention when potential threats arise.drones navigation system by injecting false GPS data,PwCs proposed framework f

142、or mitigating drone-based cyberattacks PwCs proposed framework can be adopted by Red team exercises:These exercises can be organisations who have adopted drone technology for conducted by the organisation to find vulnerabilities and their operations.This comprehensive framework combines replicate dr

143、one-based cyberattacks.cybersecurity strategies,physical security measures 2.Cyber security measures:Cybersecurity measures are and regulatory compliance.The key components of the essential for safeguarding digital assets and sensitive framework are:information.Some of the measures which are used to

144、 1.Risk assessment and threat identification:A enhance cybersecurity are given below:cybersecurity risk assessment involves a thorough Network segmentation:This can help isolate important examination of an IT infrastructure to pinpoint weak systems and lessen the possible impact of a security areas

145、and potential threats.The assessment includes:attack.Vulnerability assessment:Conducting a thorough Intrusion detection systems(IDS):An IDS can monitor analysis of potential vulnerabilities in both physical and network traffic for suspicious activity related to drone-digital infrastructure.based cyb

146、erattacks.Evaluating threats:The cyber risk assessment method Encryption protocols:Using strong encryption needs to be conducted regularly with well-defined protocols is essential for protecting sensitive criteria(based on organisation policy)in order to information from interception and unauthorise

147、d access.evaluate and mitigate risk.Encryption ensures that data remains confidential and Potential impact analysis:Drone-based cyberattacks secure.pose significant risks to critical systems and operational Secure communication channels:Ensuring that all continuity.To understand the potential impact

148、,its communication between drones and control stations is important to assess various scenarios where drones encrypted and authenticated is essential for preventing can be misused for malicious purposes.unauthorised access and control.Hypothetical scenario planning:It is necessary to Updates:Regular

149、ly updating drone firmware and create comprehensive hypothetical attack scenarios software is crucial for maintaining the security and which include physical incursions and data breaches to functionality of drones.help the drone operators understand the different kinds of threats the drones can enco

150、unter.Anti-malware solutions:Deploying anti-malware solutions on all endpoints is essential for detecting and 21 PwC|ASSOCHAM|Opportunities in the drone sector with the adoption of AI and blockchain preventing malicious activities that can compromise system integrity and data security.Multi-factor a

151、uthentication(MFA):Implementing MFA for accessing drone control systems and sensitive data is a critical step to enhance security and protect againstunauthorised access.Initiating role-based access control(RBAC):Initiating RBAC is an effective way to manage and restrict accessto critical systems and

152、 data based on user roles.3.Physical security measures:Limiting access to specific locations can discourage intruders and help in reducing the number of cyber-attacks.This measure includes:Geofencing:Implementing geofencing to set up a virtual boundary which can block unauthorised drones from enteri

153、ng restricted areas.Real-time alerts:Setting up real-time alerts by deploying radar and sensors(radio frequency)which can detect,analyse and respond to unauthorised drone incursions promptly.4.Regulatory compliance:This step highlights the need to adhere to established standards,regulations and guid

154、elines which are designed to protect data and systems.Some of the key aspects of this regulatory compliance are:Proper understanding of regulations and data protection:Staying updated about local and international regulations governing drone operations and cybersecurity is crucial for ensuring compl

155、iance,maintaining security and adapting to the evolving global regulatory landscape.Maintaining drone operations which are compliant with data privacy laws is essential to avoid legal repercussions.5.Incident response and recovery:Creating and maintaining an effective incident response plan along wi

156、th establishing a dedicated response team for handling drone-related cyber incidents is essential to mitigate the risk.6.Training and awareness:Training the employees regularly on cybersecuritys best practices is important for handling major risks.7.Continuous improvement:Continual improvement in in

157、formation security is vital for ensuring that an information security management system(ISMS)remains effective in the face of evolving threats.The process of continuous improvement includes regular upgradation of technology as per the new developments in UAV and cyber security technologies.It is als

158、o essential to deploy resources in cutting edge innovations for improved security.Besides mitigating cyber threats,organisations need a step-wise approach for the smooth adoption and implementation of drone technology in various sectors.Some of the key steps to follow in this approach are:Establishi

159、ng processes:To lower the risks associated with drone-based cybersecurity threats,organisations should implement processes for recognising and managing drone activity,utilise counter-UAS technologies and establish comprehensive cybersecurity solutions.Adopting technologies:Drones can quickly swap fr

160、equencies thanks to frequency hopping spread spectrum(FHSS)technology,which makes persistent jamming operations more difficult.Id a communication route is interrupted,continuity is ensured by implementing redundant channels,such as satellite,cellular networks and radio.Modern signal processing techn

161、iques and anti-jamming devices are able to identify and reduce interference.Secure authentication and robust encryption guard data integrity from unwanted access.While adaptive algorithms modify communication parameters to counteract interference,increasing the overall resilience and reliability of

162、drone operations,integrating radar and detecting devices aids in the identification of jamming sources.Implementing cybersecurity solutions:Businesses should implement complete cybersecurity solutions which can identify harmful behaviour for their networks and curb it before it reaches their drones

163、or infects their computer systems.Malicious behaviour on edge computers can be identified by AI-powered cybersecurity solutions which enables enterprises to promptly identify any possible dangers and take action to neutralise them before they disrupt their operations.22 PwC|ASSOCHAM|Opportunities in

164、 the drone sector with the adoption of AI and blockchain Ensuring efficiency in drone operations In order to maximise the efficiency of their operations while Infrastructure:Develop a robust and scalable using drones,organisations must consider the following infrastructure using cloud components.fac

165、tors:10 Code review performance:Tool-based code review a)Application capabilities:Drone solutions combined to suggest and improve the overall quality of codes with blockchain,and AI should effectively cover the implemented.entire value chain of the business including project Performance stability:Ov

166、erall performance of the management and monitoring.application should be stable and no major performance b)Industry sector diversification:The platform or suite issues should arise in the production process to of applications supporting drone solutions which support the uptime of 100%.leverages bloc

167、kchain and AI should be able to assist the Product roadmap planning:High-level plan should be organisation in the diversification of their operations.For broken into small/micro level releases.example,By utilising multispectral cameras and sensors,these drones along with GeoAI algorithm provide Orga

168、nisations also need to consider the following factors as detailed insights into crop health and environmental a part of the drone adoption process:conditions.a)Identification of appropriate use cases for the c)Integration capabilities:Integration with capital project implementation of drones:While c

169、hoosing a drone tools such as building information modelling(BIM)is technology for an organisations individual needs,an essential part of the planning in product panies should focus on identifying appropriate use For example,the transfer of drone data files to mining cases for the implementation of

170、drones.11 For example,software should follow standard industry process.inspecting or examining assets and infrastructure such Furthermore,blockchain and AI can offer enhanced as oil and gas pipelines and power plants.data security,real-time insights and efficient workflows leading to better outcomes

171、.Despite significant advancements over the years,drone technology and its implementation is still at a nascent d)Compatibility with third-party hardware:Cloud stage.As a result,it is challenging to use the technology platforms which support all the essential ingredients in domains that require sophi

172、sticated GPS for last-mile of the implementation of blockchain,AI and drones delivery,an obstacle avoidance system and the ability to should be able to process the images and analyse them detect changes beneath the surface.irrespective of the drone type.The image from third party drones must conform

173、 to certain specifications b)Commercial aspects:12 Deciding to adopt drone(mandatory fields)to get it processed via cloud technology integrated with blockchain and AI is cost computing for analysis.intensive and therefore organisations need to choose an operating model which can best serve their pur

174、pose.Organisations should also consider the following points There are three aspects procurement,operations while conducting the technical assessment of drone and data analysis which organisations should assess technologies before they are implemented:before adopting drone technology.Some of the opt

175、ions Architecture:which are available to businesses which are seeking The supporting platform should have drone technologies for their operations are:a tiered architecture which is divided across its user interface,application and data.Drone-as-a-service:This is beneficial for organisations Technolo

176、gy:which require aerial data gathering and analysis,but Ensure conformity with industry prefer not to purchase their own drone fleet.standard tools and technologies used for the platform development.Leasing or purchasing:Leasing requires less Data and analytics:investment at the initial stage and pr

177、ovides better Ensure robust image processing maintenance assistance while purchasing provides capabilities to build high-end analytics with highly more autonomy.The decision to lease or purchase scalable architecture for the analytical engine.10 PwC analysis 11 Ibid 12 Ibid 23 PwC|ASSOCHAM|Opportuni

178、ties in the drone sector with the adoption of AI and blockchain drones is primarily be influenced by the frequency of its use routine,periodically or on a need basis.If the drones are rented,the payment method could be a one-time upfront payment for a set time period or paying per use or per hour.Or

179、ganisations also need to employ licensed drone pilots to operate drones.Furthermore,the responsibility for repairs,maintenance and upgrades of the drones can be held by either the lessor or the lessee.Using drones in challenging geographical and weather conditions can be a significant factor to take

180、 into account,as they might experience damage.c)Types of output from drone-enabled aerial data collection:13 It is imperative to select the type of output and level of accuracy required from the aerial data collection and analysis depending on the nature of application.The following are some of the

181、available output types:2D output Images:High-resolution images or raw images Orthomosaic/orthophoto/orthorectification:Images that are captured will be combined with ground control points for geo-rectification in order to create one image.Contour lines show the same height levels from a specific poi

182、nt.It is created in the vector file format and consists of lines instead of pixels.Videos:Superior quality videos captured by drones.3D output Digital surface model represents the elevation of bare earth terrain considering natural and man-made features.Digital terrain model represents the elevation

183、 of the bare earth without considering any over-ground features.Digital elevation model represents the elevation of the earths surface above a certain datum.Point cloud model which is a 3D visualisation model made up of geo-referenced points and provides high resolution data without any distortion.M

184、ultidimensional data refers to data that is captured and analysed across multiple dimensions or aspects,providing a more comprehensive view of the information.13 Ibid.24 PwC|ASSOCHAM|Opportunities in the drone sector with the adoption of AI and blockchain Future growth opportunities for the drone se

185、ctor Though drone technology has numerous benefits and 3.Can dr one deliveries be made to already-existing stores applications,organisations need to start weighing the and warehouses,and will new facilities or infrastructure potential advantages of drone operations against the be needed?challenges a

186、s they formulate their strategy to create a 4.How successfully can drone operations be combined competitive advantage for themselves by tapping on the with more general ways of delivery?possible opportunities in the drone sector.While assessing the strategic alignment and understanding the cost-bene

187、fit 5.Do drone delivery businesses have any natural partners?rational,working on the following questions can be helpful:6.What role may drones play in the organisations 1.Which products are feasible for drone delivery,and how sustainability objectives?open will consumers be to this idea?In the India

188、n context,certain areas of potential opportunities 2.In which areas would drone delivery be most beneficial?for the growth of drone technology are given in Figure 7.Figure 7:Opportunities for drone sector in the Indian market 01 Urban development 04 Agriculture Monitor and control the development ac

189、tivities or projects A general insurance company can deploy drones in a through drone-based outputs.particular zones for assessment of crop damage due to natural calamities such as floods.As a pilot project,the Karnataka Government is using drones for property tax estimation and creation of base map

190、s of a Crop loss assessment due to deficit rainfall.city/town for detailed planning and sustainable governance.Drones to monitor and assist with spraying crop pesticide/Other state governments can follow the same.fertiliser in limited crop areas.02 Transport 05 Mining Monitor railway operations to p

191、roactively identify cases where Monitoring of stockpile storage,3D mapping and volumetric there can be collisions and these collisions can be avoided.analysis of limestone over a period of time.Drones can ensure accuracy with respect to the extent of Drones equipped with 18.2 MP cameras and night vi

192、sion land required for roadways land projects.capability which fly at an altitude of 1 km for about 30 minutes to detect illegal sand mining from miles away.As a pilot project,the Government of Maharashtra is looking to leverage two drones to monitor weekend rush hour traffic Drones deployed for bou

193、ndary and safety zone inspection of and accidents on the 95-km stretch between the Lonavala coal and iron mines,counting of vegetation in reclaimed areas,Exit and Khalapur Toll Plaza and on the six-lane Mumbai-and profiling of quarry and dump for volume calculations Pune Expressway.Other state gover

194、nments can do the same.A general insurance company deployed drones in a particular district in Maharashtra for assessment of crop damage due to 03 Disaster Management floods in 2016.Scan areas where search and rescue teams could not access The Maharashtra Government has used drones over fields in in

195、 flood-hit areas.the Marathwada region for carrying out crop loss assessment due to deficit rainfall.Search and rescue operations and to map toppled monuments,ruined heritage sites and homes destroyed Individual farmers of Andhra Pradeshs capital region are during earthquakes.deploying drones to spr

196、ay crop pesticide/fertiliser in limited crop areas.Source:https:/www.pwc.in/industries/government-and-public-services/preparing-for-takeoff.html 25 PwC|ASSOCHAM|Opportunities in the drone sector with the adoption of AI and blockchain Figure 8:The five key stages for developing high quality drone bas

197、ed solutions 01 02 03 04 05 Vision setting Assessment Project Implementation Project planning management Source:PwC analysis Way forward Though there are numerous benefits of drone technology,challenges related to operations,regulatory compliance and other aspects need to be considered before the te

198、chnology is adopted and implemented.Figure 8 illustrates the five key stages for developing high quality solutions using drone technology:1.Vision setting:Its important to set up a clear vison by identifying the key concerns and aligning organisational goals to the purpose of using drone technology

199、for various tasks.2.Assessment of industry best practices:The assessment requires collaboration with multiple stakeholders,and the identification and incorporation of industry best practices.3.Project planning:The project planning phase defines the roadmap,resources and risk assessment along with th

200、e timelines for achieving the organisational goals.4.Implementation:Once the use cases or problem area has been identified,drones can be implemented to complete the various tasks within the organisation.5.Project management:Project expectations and timelines need to be assessed and drafted to ensure

201、 that the project objectives can be met according to timelines while solving the key problems.Organisations should also focus on investments for infrastructure development to support drone solutions and launch awareness and training programmes which can promote the adoption of drone technology.26 Pw

202、C|ASSOCHAM|Opportunities in the drone sector with the adoption of AI and blockchain Notes 27 PwC|ASSOCHAM|Opportunities in the drone sector with the adoption of AI and blockchain Notes 28 PwC|ASSOCHAM|Opportunities in the drone sector with the adoption of AI and blockchain Notes 29 PwC|ASSOCHAM|Oppo

203、rtunities in the drone sector with the adoption of AI and blockchain About ASSOCHAM The Associated Chambers of Commerce&Industry of Sustainability,Empowerment,Entrepreneurship and India(ASSOCHAM)is the countrys oldest apex chamber.Digitisation.The Chamber believes that affirmative It brings in actio

204、nable insights to strengthen the Indian action in these areas would help drive an inclusive and ecosystem,leveraging its network of more than 4,50,000 sustainable socio-economic growth for the country.members,of which MSMEs represent a large segment.ASSOCHAM is working hand in hand with the With a s

205、trong presence in states,and key cities globally,government,regulators and national and international ASSOCHAM also has more than 400 associations,think tanks to contribute to the policy making process federations and regional chambers in its fold.and share vital feedback on implementation of decisi

206、ons Aligned with the vision of creating a New India,of far-reaching consequences.In line with its focus on ASSOCHAM works as a conduit between the industry being future-ready,the Chamber is building a strong and the Government.The Chamber is an agile and network of knowledge architects.Thus,ASSOCHAM

207、 forward looking institution,leading various initiatives is all set to redefine the dynamics of growth and to enhance the global competitiveness of the Indian development in the technology-driven Knowledge-industry,while strengthening the domestic ecosystem.Based Economy.The Chamber aims to empower

208、stakeholders in the Indian economy by inculcating With more than 100 national and regional sector knowledge that will be the catalyst of growth in the councils,ASSOCHAM is an impactful representative dynamic global environment.of the Indian industry.These Councils are led by well known industry lead

209、ers,academicians,economists and The Chamber also supports civil society through independent professionals.The Chamber focuses on citizenship programmes,to drive inclusive development.aligning critical needs and interests of the industry with ASSOCHAMs member network leads initiatives in the growth a

210、spirations of the nation.various segments such as empowerment,healthcare,education and skilling,hygiene,affirmative action,road ASSOCHAM is driving four strategic priorities-safety,livelihood,life skills,sustainability,to name a few.30 PwC|ASSOCHAM|Opportunities in the drone sector with the adoption

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213、rti Partner,Technology Consulting PwC India Prasun Nandy Partner,Data and Analytics Leader PwC India Dr Indranil Mitra Partner,Advanced Analytics Lead PwC India Ankur Basu Partner,Industry 4.0 Leader PwC India Authors Ishani Choudhury,Santanu Dutta,Arnab Chakraborty,Dr Indranil Mitra Contributors An

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