阿聯酋：2024釋放人工智能的力量白皮書（英文版）（27頁）.pdf

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1、WHITEPAPER 2024Unleashing thePower of AIHow e&UAE is Shaping the Future of AI in Telecommunications and BeyondUnleashing the Power of AI|How e&UAE is Shaping the Future of AI in Telecommunications and Beyond|2024Contents01AI Evolution502Decoding the AI Tapestry703e&UAE:AI Adoption 1204e&UAE:AI Journ

2、ey 1305e&UAE:AI-driven Transformation1506e&UAE:AI Use Cases1907GenAI Evolution2108e&UAE:AI Enablement2309Conclusion26Unleashing the Power of AI|How e&UAE is Shaping the Future of AI in Telecommunications and Beyond|2024Unleashing the Power of AI|How e&UAE is Shaping the Future of AI in Telecommunica

3、tions and Beyond|2024In an era defined by rapid technological evolution,e&UAE emerges as a pioneering force,strategically navigating the dynamic landscape of Artificial Intelligence(AI)and Generative AI(GenAI)within the United Arab Emirates(UAE).This whitepaper delves into e&UAEs comprehensive journ

4、ey,unveiling its pivotal role in shaping the trajectory of AI adoption in the country.From deploying advanced analytics and machine learning to fostering partnerships that enhance cloud and AI capabilities,the organisation is committed to continuous innovation.The document delves into the strategic

5、advantage gained by e&UAE through the adoption of GenAI.It demonstrates the organisations holistic approach beyond mere upgrades to position it as a strategic enabler,ensuring future readiness and sustainability.By weaving AI seamlessly into various operational domains,from sales and customer experi

6、ence to telco networks and corporate functions,e&UAE exemplifies a forward-thinking stance in embracing transformative technologies and shaping the digital future of the UAE.This whitepaper specifically focuses on e&UAE,the groups telecommunications arm in the country.It does not cover the AI initia

7、tives,use cases,and innovations across other e&companies such as e&life and e&enterprise or other geographies outside the UAE.This document is a testament to e&UAEs commitment to excellence,innovation,knowledge sharing,and responsible AI adoption.IntroductionThis whitepaper delves into the AI journe

8、y of e&UAE.We are in one of the most pivotal moments in human history.AI has the potential to transform the world and create a real positive impact.Solving some of our biggest challenges,from sustainability to healthcare and ensuring we deploy it responsibly,is critical.I see AI as a force for progr

9、ess,empowering societies and economies globally.This whitepaper demonstrates the thoughtful approach,guiding principles,and unique use cases within e&UAE.Whether adopting AI to improve customer experiences,scale productivity,or reduce costs,the possibilities are endless.Within the e&ecosystem,both i

10、n the UAE and across our global footprint,the exponential adoption of AI is not merely a technological upgrade but a strategic enabler in an ever-evolving digital landscape.Dena AlmansooriGroup Chief AI and Data Officer,e&I am thrilled to guide e&UAE on a transformative journey at the forefront of A

11、rtificial Intelligence(AI)and Generative AI(GenAI).This whitepaper encapsulates our commitment to pioneering innovation,strategic partnerships,and the responsible integration of cutting-edge technologies.As we shape the future of technology in the UAE,our focus on AI-driven excellence positions us a

12、s catalysts for sustainable growth and unparalleled customer experiences.Join us on this dynamic journey as we unlock the full potential of AI,driving innovation that transcends boundaries and propels the UAE into a digital era of unparalleled possibilities.Khalid MurshedChief Technology and Informa

13、tion Officer,e&UAEUnleashing the Power of AI|How e&UAE is Shaping the Future of AI in Telecommunications and Beyond|2024Unleashing the Power of AI|How e&UAE is Shaping the Future of AI in Telecommunications and Beyond|20244AI-generated imageUnleashing the Power of AI|How e&UAE is Shaping the Future

14、of AI in Telecommunications and Beyond|202401AIs story is one of remarkable progress punctuatedby challenges and breakthroughs.It started withvisionary ideas like Alan Turings test for machineintelligenceandthepracticalproblem-solvingexpertiseofearlyexpertsystems.However,progress could have been smo

15、other.Periods oflimited funding and unrealistic expectations,dubbedAI winters,hampered research in the 60s and 70s.AI rose again in the 80s with the revolutionarybackpropagation algorithm,which supercharged thetraining of complex neural networks.This paved theway for the rise of convolutional neural

16、 networks(CNNs),the driving force behind breakthroughs likeDeep Blues stunning victory over chess championGarryKasparovin1997andIBMWatsonsdomination of Jeopardy!in 2011.These milestonesshowcased the immense potential of AI,not just ingames but in tackling real-world challenges likenatural language p

17、rocessing(NLP).The 2010s saw the dawn of deep learning,usheredin by the triumph of the AlexNet model in imagerecognition.Advancements like ResNet addressedthe complexities of training deeper networks,pavingthe way for even more powerful models like BERT,which revolutionised NLP by understanding thec

18、ontext in both directions.GPT-3,with its massiveparameter count,showcased the incredible feats oftext generation.At the same time,tools like DALL-Epushed the boundaries of image creation by craftingdiverseandrealisticvisualsfrommeretextdescriptions.Recent developments like OpenAIs ChatGPT,withits im

19、proved conversational abilities,and GooglesGemini(formerly Bard),focused on comprehensiveand informative information processing,highlightthe ongoing diversification of AI applications.Toolslike Microsoft Copilot are also transforming codingbyassistingdevelopers,whilethequestforexplainable AI(XAI)pro

20、mises to make AI modelsmore transparent and trustworthy.The future of AI seems boundless.Advancements indiffusion models,foundation models,and naturallanguage inference hold immense potential,whilethe burgeoning field of robotics stands poised totransform our world.This journey,from early ideas tocu

21、tting-edge applications,is a testament to theingenuity and perseverance of researchers pushingthe boundaries of what machines can achieve.As we navigate the ethical considerations andchallengesthatcomewiththispowerfultechnology,one thing is certain:AIs evolution is anongoing story with some of the m

22、ost captivatingchaptersyettobewritten.AI EvolutionThe story of AI is one of remarkable progress punctuated bychallengesandbreakthroughs.Today,AIs evolution shows no signs of slowing down.5Unleashing the Power of AI|How e&UAE is Shaping the Future of AI in Telecommunications and Beyond|20241943Neuron

23、 ModelFirst artificial neuron1950TuringTestTuring Test proposal for assessing machine intelligence1956Dartmouth WorkshopsBirth of AI as a field1957PerceptronIntroduction of a simple neural network model1961UnimateFirst industrial robot1967DendralPioneering expert system demonstrating the potential o

24、f rule-based AI1970sExpert SystemsAI focused on specific domains and tasks using knowledge rules1986BackpropogationAlgorithm enabling efficient training of deep neural networks1989Image recognitionFramework revolutionising image recognition and computer vision1990sStatistical Machine LearningRise of

25、 probabilistic models and algorithms like Support Vector Machines1997Deep Blue vs.Garry KasparovAI system defeats the world chess champion2000Kismet and ASIMRobots that recognise and simulate emotions,and able to walk2011IBM Watson on Jeopardy!Showcase of natural language processing capabilities2012

26、AlexNetDeep learning model won the ImageNet competition for image classification2014Generative AdversarialNetwork(GAN)Framework for generating realistic synthetic data2015ResNetNeural network architecture addressing challenges in training very deep networks2016AlphaGoAI system defeating a world cham

27、pion Go player through reinforcement learning2017Capsule NetworkGeoffrey Hintons approach addressing hierarchical relationships in neural networks2018BERT by GoogleModel revolutionising natural language processing with bidirectional context understanding2019OpenAI GPT-2Language model showcasing adva

28、nced text generation capabilities2020AlphaFoldAI system solving the protein folding problem in computational biologyOpenAI GPT-3Large language model with 175 billion parameters,showcasing large-scale transformer capabilities2021DALL-EModel generating diverse and high-quality images from textual desc

29、riptionsChatGPTConversational AI model based on the GPT architecture,improving language understanding2022CopilotAI pair programmer from Microsoft assisting developers in writing code2023BardLarge language model from Google AI focusing on comprehensive and informative information processing2024New Mo

30、delsDiffusion Models,Foundation Models,Natural Language Inference,Small language models,Robotics advancements,Explainable AI(XAI)Summary of AI evolution milestones:EARLY MILESTONESMAJOR BREAKTHROUGHSRECENT ADVANCEMENTS01.AI Evolution6Unleashing the Power of AI|How e&UAE is Shaping the Future of AI i

31、n Telecommunications and Beyond|202402Unveiling classifications and applicationsAI is continuously reshaping how we interact with and perceive the world.Its transformative influence spansindustries,revolutionising healthcare,finance,communication,and beyond.With AI advancing at anunprecedented pace,

32、comprehendingits diverse classifications is paramount.This section explores the intricacies of the AI ecosystem,examining key classifications ranging fromfoundational Machine Learning(ML)to the creative domains of Generative AI(GenAI)and the capabilities ofLarge Language Models(LLMs).AI is a dynamic

33、 and expansive landscape,often likened to an umbrella term encompassing various specialisedsubfields.Each subfield possesses unique strengths within this intricate ecosystem,enabling variousapplications and collectively driving AI forward.Decoding the AI TapestryAI is a vast term often likened to an

34、 umbrella term encompassing various subfields.MachineLearning(ML)As the foundational technology,ML algorithms formthe bedrock for intelligence development.Thesealgorithms learn from data,enabling them to discernpatterns,makepredictions,andenhancetheirperformance iteratively.This domain encompassespr

35、ominenttechniques,includingsupervised,unsupervised,and reinforcement learning.Deep Learning(DL)Operating as a subfield inspired by the intricatestructure and functionality of the human brain,DLleverages artificial neural networks with multiplelayers to process complex data.This approach hasledtogrou

36、ndbreaking advancementsinimagerecognition,naturallanguageprocessing,andspeech recognition.Generative AI(GenAI)Reflecting its name,GenAI encompasses systemsproficient in generating new content across variousdomains such as text,images,music,and code.ThisincludestechniqueslikeGenerativeAdversarialNetw

37、orks(GANs)and Transformers,which powerapplicationslikecreativewritingtools andimage/code generation.Foundation ModelsThese extensive,pre-trained AI models are cultivated on vast text,voice,and image datasets.Notable examples include LaMDA from Google AI,Jurassic-1 Jumbo from AI21 Labs,and versatile

38、models like the GPT(Generative Pre-trained Transformer)series,including GPT-3 from OpenAI.These models serve as foundational pillars for a wide range of applications.They allow fine-tuning for specific tasks,such as answering a question,translating,creating creative content,and more,showcasing the d

39、iverse and multimodal capabilities within the field of AI.Large Language Models(LLMs)LLMs are a specialised category of foundation models tailored for language processing.They demonstrate the ability to comprehend and generate human-like text.Applications include language translation and creative co

40、ntent generation.Use CasesThis encompasses the diverse methods through which humans interact with AI systems.Examples include chatbots,voice assistants,and virtual reality interfaces designed to facilitate seamless interactions with AI applications.Key classifications:7Unleashing the Power of AI|How

41、 e&UAE is Shaping the Future of AI in Telecommunications and Beyond|2024Supervised LearningTrainsmodelswithlabelleddata(inputswithcorresponding outputs)to make predictions for new,unseen data.This is useful for tasks such asclassification and regression.Unsupervised LearningAnalyses unlabelled data

42、to discover patterns andrelationships within it.This is used for tasks likeclusteringand dimensionality reduction.Reinforcement LearningTrains a model through trial and error by providing rewards for desired actions,allowing a model to learn and optimise its behaviour over time.This approach is usef

43、ul in tasks like robot control and gameplay.Generative AICreates entirely new data,such as images,text,or music,by learning from existing data and patterns.Its practical applications include creative content generation,data augmentation,and language translation.AI classifications and the intricate l

44、ayers that define the diverse landscape of AIRecognising that these categories often overlap iscrucial in fostering a symbiotic relationship thatcontributestoadvancingtheAIfieldandecosystem.Aswenavigatethisspace,understanding these classifications enhances ourappreciationforthevastpotentialofAItechn

45、ology and its profound impact on variousfacets ofour lives.In the rapidly evolving telecommunications sector,the strategic integration of AI and ML has emerged as a transformative imperative.Use Cases(ChatGPT,Gemini,Copilot,etc)Large Language ModelsFoundation ModelsGenerative AIDeep LearningMachine

46、LearningArtificial IntelligenceAI learning models classification:02.Decoding the AI TapestryIn the rapidly evolving telecommunications landscape,the strategic integration of AI and ML has emerged asa transformative imperative.This section delves into the core functionalities of machine learning algo

47、rithms,each meticulously designed to address specific challenges and capitalise on emerging opportunities withinthe telecom sector.Machine LearningGenerative AIUnsupervised LearningSupervised LearningReinforcement LearningVideo GenerationCode GenerationVoice GenerationText GenerationImage Generation

48、RecommendationEnginesClusteringDimensionality ReductionTargeted MarketingCustomer SegmentationBig Data VisualisationMeaningful CompressionStructure DiscoveryFeature ElicitationClassificationRegressionFraud DetectionImage ClassificationCustomer RetentionDiagnosticsAdvertising Popularity PredictionWea

49、ther ForecastingMarket ForecastingEstimating Life ExpectancyPopulation Growth PredictionGamifiedAISkill AcquisitionLearning TasksRobot NavigationReal-time DecisionsAI learning approach classification:Classification of Machine Learning techniques and their applications:8Unleashing the Power of AI|How

50、 e&UAE is Shaping the Future of AI in Telecommunications and Beyond|2024ALGORITHMDESCRIPTIONGENERAL USE CASESTELCO USE CASESRandom ForestEnsemble method using multiple decision treesPredictive modeling,feature importance analysisSignal strength prediction,network coverage optimisationLogistic Regres

51、sionClassifies data into binary outcomes based on predictorsCustomer churn prediction,spam detectionChurn prediction,network security(fraud detection)Decision TreesConstructs a tree-like model for decision-makingCredit scoring,risk assessmentNetwork fault detection,infrastructure planningK-Means Clu

52、steringDivides data into clusters based on similarityCustomer segmentation,anomaly detectionGeographical clustering,capacity planningNeural NetworksMimics the structure and functioning of the human brainImage recognition,natural language processingPredictive maintenance and network performance optim

53、isationGradient Boosting MachinesBuilds a series of weak models for a strong predictive modelPredictive modeling,ranking algorithmsCall drop rate prediction,network optimisationXGBoostOptimised and scalable version of gradient boostingStructured data analysis,regression tasksNetwork congestion predi

54、ction,data transfer rate optimisationRecurrent Neural NetworksDesigned for sequence data,processes information over timeNatural language processing,time series predictionNetwork traffic pattern prediction,optimisationLong Short-Term MemoryA type of RNN with memory cells for learning dependenciesSpee

55、ch recognition,sentiment analysisUser mobility pattern prediction,handover optimisationSupport Vector MachinesFinds hyperplanes for data classificationImage classification,sentiment analysisNetwork traffic classification,security threat detectionIsolation ForestAnomaly detection algorithm based on i

56、solation of outliersUnusual network behaviour detection,anomaly detectionNetwork anomaly detection,security threat identificationGaussian MixtureModelRepresents a mixture of multiple Gaussian distributionsNetwork traffic pattern analysis,fraud detectionUser behaviour analysis,security threat detecti

57、onDBSCANClustering algorithm based on data densityIdentifying call density clusters,spatial data clusteringInfrastructure planning,network optimisationnave Bayes Probabilistic algorithm based on Bayes theoremSpam filtering,network event classificationSpam filtering for messages and emails,event cate

58、gorisationAdaBoostBoosting algorithm that combines weak classifiersImproved network fault detection,face recognition in video callsEnhanced anomaly detection,video call quality optimisationThese algorithms are at the core of innovation,from predicting signal strength and optimising network coverage

59、to fortifying security measures and proactively refining customer retention strategies.Telecom leaders like e&UAE have embraced this technological revolution,adopting AI and ML to enhance operational efficiency,deliver superior user experiences,and proactively meet evolving network demands.The table

60、 below provides a comprehensive reference detailing the algorithms,descriptions,and diverseapplications inthe telecommunicationssector.Classification of Machine Learning techniques:02.Decoding the AI Tapestry9Unleashing the Power of AI|How e&UAE is Shaping the Future of AI in Telecommunications and

61、Beyond|2024GenAI,the latest innovation in AI,has opened up a world of possibilities.This section explores GenAIs diverserange of applications across various domains.From content creation to product optimisation,GenAIshowcases transformative capabilities.Given its profound impact on shaping the futur

62、e across differentindustries,its worthexaminingspecific examples of GenAI use cases.Art and DesignGenerating unique paintings,sculptures,andgraphic designs in various styles.Platforms likeDALL-E 2,Leap AI,Segmind and Midjourneyallow users to create art with text prompts.Music CompositionProducing or

63、iginal musical pieces in genres likeclassical,pop,or electronic.Tools like AmperMusic,Songburst and Jukebox create music based on user preferences.Creative WritingGenerating poems,scripts,stories,and otherforms of creative text content.Platforms likeLaMDA,Jasper,andHemingway,canwritedifferent types

64、of creative content.Generative AICreative ContentDrug DiscoveryDesigning new molecules at an accelerated pacewith desired properties for drug development.Tools like Generative TensorFlow and AlphaFoldare used for this purpose.Material ScienceDiscoveringnewmaterialswithspecificproperties for applicat

65、ions like battery technologyor solar panels.Generative models can explorevast chemicalspacesforpotentialbreakthroughs.Fashion DesignGenerating new clothing designs and patternsbasedontrendsanduserpreferences.AI applications,like WOMBO Dream,help createunique fashion designs.Product DevelopmentVideo

66、Game DesignCreatingrealisticandimmersivegameenvironments and characters.Generative modelscan populate gaming with unique details andinfinite options.Voice Acting and DubbingSynthesising realistic voices for characters in movies,games,and audiobooks.Tools like Resemble AI and Murf create expressive v

67、oices based on text prompts.Personalised News and Social MediaFeedsTailoring news articles and social media contentto individual preferences,generating summariesor different writing styles.Platforms like Outwriteand Quill offer personalised content generation.Entertainment and MediaData Augmentation

68、Expanding existing datasets with synthetic datato improve the performance of machine learningmodels.This is crucial for tasks like medicaldiagnosis and self-driving cars.Code GenerationSuggestingorauto-completingcodeforprogrammersthroughplatformslikeGitHubCopilot or Tabnine,improving efficiency anda

69、utomation in software development.Language TranslationTranslatinglanguagesmorefluentlyandcreatively,going beyond literal translations tocapture nuances and context.Tools like GoogleTranslate and DeepL are constantly evolving withGenerative AI techniques.Other applicationsThesearejustafewexamples,and

70、GenAIspossibilitiesare constantly evolving.Asthetechnologydevelops,wecanexpectevenmoreinnovativeandimpactfulapplicationsto emergeinvariousfields.02.Decoding the AI Tapestry10Unleashing the Power of AI|How e&UAE is Shaping the Future of AI in Telecommunications and Beyond|2024Unleashing the Power of

71、AI|How e&UAE is Shaping the Future of AI in Telecommunications and Beyond|202411AI-generated imageUnleashing the Power of AI|How e&UAE is Shaping the Future of AI in Telecommunications and Beyond|202403In the digital era,e&UAE takes a proactive stance toward AI and data-driven adoption,positioning i

72、tself as aleading service provider committed to embracing new technologies for long-term growth and success.This AI strategy encompasses several pivotal initiatives:e&UAE:AI Adoption e&UAE has proactively taken a stance toward AI and data-driven adoption.AI-Powered Business Optimisatione&UAE effecti

73、vely leveraged AI to streamline andautomate business processes,align talent withfuturemarketneeds,andcultivateadvancedanalytics capabilities.This strategic move resulted ina significant reduction in operational costs andimproved agility and data-driven decision-makingcapabilities.Sustainable AI Inte

74、grationRecognising the interplay between digitalisation andsustainability,e&UAE infused sustainable practicesinto its AI initiatives.This ensures responsible growthwhilecontributingtothecompanysambitiousenvironmental goals.Extensive AI Deploymente&UAEimplementsmorethan160machine learning models in v

75、arious functions,from customersegmentation and autonomous networking to frauddetection,which resulted in a significant decrease infraudulentactivities.Theseimplementationsoptimise operations,protect customers,and drivesubstantial revenue growth through Customer ValueManagement(CVM).Diverse AI Applic

76、ationse&UAE showcases AIs versatility by deploying it across diverse domains beyond telecommunications.Innovations like facial recognition,voice biometrics,Optical Character Recognition(OCR),and chatbots transform customer experiences by enabling highly personalised and engaging interactions.Fosteri

77、ng Talent and CultureEmbracing cutting-edge technologies and innovative approaches,e&UAE fosters a culture of continuous learning and experimentation by cultivating new mindsets and exploring untapped potential.Strategic Capital Allocatione&UAE accelerates its growth through a strategic capital allo

78、cation approach incorporating targeted investments,alliances and partnerships.This strategy ensures access to leading technologies and expertise,expediting the companys AI journey.To summarise,e&UAEs AI journey is characterised by strategic initiatives aimed at optimising businessprocesses,streamlin

79、ing customer experiences,ensuring sustainability,deploying extensive AI models,exploring diverse applications,fosteringinnovation,and strategically allocating capital.By adopting a holistic approach to AI integration and digitalisation,e&UAE solidifies its leadership in the evolving telecommunicatio

80、ns landscape.The company plans to leverage AI for even greater personalisation,network optimisation,and service innovation,cementing its position as a future-proof and customer-centric organisation.These efforts collectively position e&UAE as a dominant player in telecommunications,setting the stage

81、 forfuture innovations and breakthroughs.As we delve further into this whitepaper,we will explore specific casestudies and examples that highlight the real-world impact of these initiatives,providing deeper insights into thetransformative power of AI at e&UAE.12Unleashing the Power of AI|How e&UAE i

82、s Shaping the Future of AI in Telecommunications and Beyond|20241304Amidst rapid technological disruption and innovation,e&UAE has charted a bold course on its transformativeAI journey.This path is paved with strategic milestones underscoring the companys commitment to unlockingthe full power of AI.

83、Over the years,e&UAE has steadily progressed toward intelligent operations.It began in2016 with dedicated teams focusing on data analytics,followed by the establishment of the Robotic ProcessAutomation(RPA)Team and the subsequent formation of the Machine Learning and Advanced Analytics Team.Each mil

84、estone represents a deliberate step toward infusing intelligence into operational frameworks.Creating the AI Cognitive Team and collaborating with esteemed partners in the AI Centre of Excellence(AICoE)exemplifies e&UAEs dedication beyond adopting cutting-edge technologies to pioneering them.Initiat

85、ivessuch as the AI Graduate Programme rolled out in 2021,alliances with industry leaders like Microsoft and Oracleand the introduction of the Internal AI-First Programme underscore a holistic approach,emphasising talentdevelopment,strategic partnerships,and the seamless integration of AI into every

86、facet of our operations.These milestones collectively reflect e&UAEs relentless pursuit of innovation,positioning the organisation atthe forefront of AI in the UAE and beyond.e&UAE:AI Journey Marked by strategic milestones that underscore e&UAEs commitment to harnessing the power of AI.Below is a su

87、mmary of e&UAEs AI milestones:2016Inception of the Advanced Analytics TeamOBJECTIVEThe creation of the Advanced Analytics Team marked e&UAEs strategic move to harness analytics for valuable data-driven business insights,setting the stage for subsequent advancements in leveraging analytics for operat

88、ional enhancements and predictive modelling.KEY ACTIVITIESThe team initiated the implementation of basic data analytics tools,laying the foundation for more informed data-driven decision-making processes.2017Establishment of the Robotic Process Automation(RPA)TeamOBJECTIVETo enhance operational effi

89、ciency,increase productivity and accuracy,and reduce substantial costs,the Robotic Process Automation(RPA)Team was established,with the concurrent formation of the Robotics Centre of Excellence(COE).KEY ACTIVITIESRPA solutions were deployed across various departments,leading to a significant reducti

90、on in manual processing.The team also formulated a Governance Model for RPA implementation.2018Formation of the Machine Learning and Advanced Analytics TeamOBJECTIVEe&UAE advanced its AI journey by forming the Machine Learning and Advanced Analytics Team,focusing on integrating more sophisticated AI

91、 techniques into its business processes,optimising strategic decision-making and customer services.KEY ACTIVITIESThe team actively developed and implemented machine learning models for predictive analytics,resulting in improved forecasting capabilities and personalisedcustomer experiences.13Unleashi

92、ng the Power of AI|How e&UAE is Shaping the Future of AI in Telecommunications and Beyond|20242019Inception of the AI Cognitive TeamOBJECTIVEIn partnership with Emirates ICT Innovation Centre(EBTIC),Khalifa University(KU),and Microsoft,the AI Centre of Excellence was launched to drive AI research an

93、d development efforts and bolster innovation.KEY ACTIVITIESThe Implementation of AI systems capable of simulating human thought processes,resulting in the deployment of chatbots and AI-driven customer service tools.2020Establishment of the AI Centre of Excellence(COE)OBJECTIVEConsolidation of AI res

94、earch and development efforts to bolster innovation.KEY ACTIVITIESJoint projects with partner entities focused on AI innovation and application in telecommunications.2021Launch of AI GraduateProgrammeOBJECTIVETo nurture internal talent and ensure all new hire graduates have the capabilities to drive

95、 AI initiatives and develop skills aligned with the future of work,e&UAE introduced the AI Graduate Programme.KEY ACTIVITIESOffering intensive training and development programmes in AI and related fields for graduates.Empowering them with the technical and non-technical capabilities needed for AI-dr

96、iven initiatives and becoming successful future leaders.2022Industry CollaborationOBJECTIVECollaboration with several Cloud and AI organisations,like Microsoft,to enhance cloud and AI capabilities and substantially improve service quality and operational efficiency.KEY ACTIVITIESJoint efforts focuse

97、d on integrating advanced cloud and AI technologies,driving advancements in cloud infrastructure and AI applications.2023Introduction of the Internal AI-FirstProgrammeOBJECTIVETo consistently embed AI across all internal operations,e&UAE launched the Internal AI-First Programme,which integrates AI i

98、nto its core operations for sustained innovation and efficiency.KEY ACTIVITIESPrioritising AI solutions in all business processes and decision-making to foster a culture of innovation and efficiency.2024Deployment ofGPU FarmOBJECTIVETo elevate cloud and AI capabilities,e&UAE entered a strategic coll

99、aboration with Oracle Corporation.The partnership significantly bolstered e&UAEs AI capabilities and processing efficiency by deploying advanced NVIDIA GPUs and developing and integrating sophisticated AI services to meet evolving market demands.KEY ACTIVITIESThe collaboration involved deploying cut

100、ting-edge NVIDIA H100 GPU units within Oracle Cloud Infrastructure,enhancing AI processing capabilities.UtilisingOracles robust cloud platform,AI services were seamlessly integrated into e&UAEs business applications,providing access to high-performance,flexible computing resources for the rapid and

101、scalable development of AI services.04.e&UAE:AI Journey14Unleashing the Power of AI|How e&UAE is Shaping the Future of AI in Telecommunications and Beyond|202405AI takes centre stage as e&UAE moves beyond conventional boundaries,embarking on a transformativejourney across diverse streams.e&UAEs evol

102、ution spans strategic initiatives that reimagine product offerings,redefine sales and marketing strategies,revolutionise customer experiences,optimise tech networks,andempower corporate functions.This narrative reveals a forward-thinking approach in which AI is a catalyst to propel technology disrup

103、tion andcorporate innovation.This next section explores the complex aspects of this progressive journey,where e&UAE emerges as a trailblazer at the intersection of technology and telecommunications,setting newbenchmarks for the companys and industrys future.e&UAE:AI-driven Transformatione&UAEembrace

104、sAIanddata-driventransformationto thrive in the digital era.15Product Transformatione&UAE has seamlessly integrated AI-powered products into its comprehensive telecoms portfolio.This strategic move enhances the quality of offerings and contributes to scaled-up revenue fromenterprise and government(E

105、nt/Gov)sectors andsmall and medium businesses(SMBs).Furthermore,theorganisationhassuccessfullydiversified its revenue streams through monetisingexternal use cases,demonstrating the versatility ofAIingeneratingrevenuebeyondtraditionaltelecommunications services.Sales&Marketing Innovatione&UAE has red

106、efined its sales and marketingapproach through an AI-centric lens.Establishingautonomous,fully digital stores has revolutionisedthecustomerinteractionprocess,ensuringastreamlined and efficient experience.Gamificationtechniques have been incorporated to enhance up-selling and cross-selling efforts,le

107、veraging AI-driven sentiment analysis for a more targeted andpersonalised approach to customer engagement.Customer Experience RevolutionWhen it comes to customer experience excellence,e&UAE has also achieved significant milestones.AI-powered virtual assistants inch closer to humanparity,encompassing

108、 chat and voice interactionsandsupportingmultiplelanguages.Thecommitmenttoprovidingafullypersonalisedexperience across all customer journeys ensuresthat each interaction is hyper-personalised andtailored to the individuals preferences.Consistencyin real-time experiences synchronised across allchanne

109、lsunderscorestheorganisationscommitmenttodeliveringexceptionalandseamless customer experiences.Telco Network AdvancementsImplementing an end-to-end AI-driven autonomousnetwork characterises e&UAEs telco networktransformation.This innovation ensures optimalperformanceandefficiencythroughoutthenetwork

110、s lifecycle.The organisation has embracedFullMLOps(MachineLearningOperations),enabling the comprehensive management of AImodels from end to end.Additionally,stringentmeasures have been put in place to ensure fullcompliancewithdatasecurityregulations,safeguard customer information,and maintain theint

111、egrity of the network.Corporate Function EvolutionIn terms of corporate functions,e&UAE hasachievedsignificantautomationinbusinessprocesses,optimising efficiency and productivityandreducingmanualintervention.Scalingupcitizen data scientist capabilities empowers non-technicalstafftoengagewithandactiv

112、elycontribute to AI use cases.The organisationscommitment to continuously upskilling and reskillingall employees on AI principles and applicationsfurtherreinforcesacultureofinclusivityandinnovation.Unleashing the Power of AI|How e&UAE is Shaping the Future of AI in Telecommunications and Beyond|2024

113、16e&UAE has strategically positioned itself as a frontrunner in AI adoption,aligning with best practices for successful GenAI integration.This strategic alignment reflects the organisations foresight and commitment to harnessing the transformative power of AI across crucial dimensions such as techno

114、logy infrastructure,data governance and management,skills and talent development,business alignment,ethical and regulatory considerations,and community and ecosystem engagement.Encapsulating the key milestones and strategic shifts that underscore the organisations commitment to harnessing the power

115、of artificial intelligence for a digital future.ProcessesEnterprise IT/SecurityDataBuildingsHR/EmployeesPartnersWorking CapitalProductAI-empowered products integrated as part of the total communications portfolioScaled-up CVM revenue from Ent/Gov/SMBScaled-up external monetisationrevenue streams/use

116、 casesSales&MarketAutonomous stores that are fully digitalGamification for up/cross-sellingAI-driven semantics analysisCXVAs inch closer to human parity covering chat and voice-also multilingualFully personalisedexperienceacross all journeysConsistent real-time experiencesynced across all channelsNe

117、tworkAI-driven autonomous networkend-to-endFull MLOps,i.e.E2E lifecycle management of modelsFull data security/regulation complianceCorporate FunctionsFully automated business processesScaled-up citizen data scientists capabilitiesNon-technical staff trained in AI and engaged in AI use casesIn short

118、,e&UAEs AI-driven transformation spans diverse streams,from enhancing product portfoliosand salesstrategiesto revolutionisingcustomerexperience,telco network advancements,and corporate functions.This multifaceted approach further solidifies the organisations position at the forefront of AI adoption

119、and reinforces its commitment to driving and infusing innovation across all areas of its operations.Lets examine in detail how e&UAE excels in each of these dimensions:Technology Infrastructuree&UAE has invested significantly in building a robust and scalable technology infrastructure.This includesa

120、dvanced computing capabilities,data storage solutions,and networking frameworks that form the backbonefor seamless GenAI integration.The organisations foresight in technological investments positions it for agilityand efficiency in deploying AI solutions.05.e&UAE:AI-driven TransformationUnleashing t

121、he Power of AI|How e&UAE is Shaping the Future of AI in Telecommunications and Beyond|2024In essence,e&UAEs strategic positioning across these six critical dimensionsunderscores its commitment to adopting AI in a technologically sound andethicallyresponsiblemannerandin alignmentwithitsbusinessobject

122、ives.This comprehensive approach sets the stage for the organisation to fully leverage the potential of GenAI,driveinnovationandstayaheadoftechnologicaladvancements.Data Governance and ManagementRecognising the importance of data in AI initiatives,e&UAE has implemented robust data governance andmana

123、gement practices.This involves ensuring data quality,privacy,and security throughout its lifecycle.Theorganisations commitment to responsible data handling ensures trust and reliability in AI-driven solutions.Skills and Talente&UAE prioritises cultivating AI skills and talent within its workforce.By

124、 investing in training programmes andworkshops and fostering a culture of continuous learning,the organisation ensures that its teams have theexpertise needed to navigate the complexities of AI adoption.This commitment to skills developmentcontributes to the organisations agility in leveraging AI te

125、chnologies.Business AlignmentSuccessful AI adoption requires strategic alignment with business goals.e&UAE continuously integrates AI initiatives with its overarching business objectives.The organisations AI strategies are purpose-driven,addressing specific business challenges and enhancing operatio

126、nal efficiency,customer experiences,and overall innovation.Ethical and Regulatory Considerationse&UAE is acutely aware of the ethical and regulatory landscape surrounding AI.The organisation has implemented measures to ensure responsible AI practices,addressing ethical considerations and compliance

127、with regulations.This proactive approach safeguards against potential pitfalls and ensures e&UAE is a responsible player in the AI ecosystem.Community and EcosystemIn recognition of the collaborative nature of AI ecosystems,e&UAE actively engages with the broader community and industry ecosystem.Thr

128、ough partnerships,collaborations,and participation in AI-focused initiatives,the organisation contributes to and benefits from the collective knowledge and advancements within the AI community.05.e&UAE:AI-driven Transformation17Unleashing the Power of AI|How e&UAE is Shaping the Future of AI in Tele

129、communications and Beyond|2024Unleashing the Power of AI|How e&UAE is Shaping the Future of AI in Telecommunications and Beyond|202418AI-generated imageUnleashing the Power of AI|How e&UAE is Shaping the Future of AI in Telecommunications and Beyond|202406e&UAE has achieved noteworthy milestones thr

130、ough diverse AI-driven projects,demonstrating a steadfastcommitment to innovation.From implementing machine learning models to establishing a unified datamanagement system,these initiatives underscore the organisations evolution into an AI-driven powerhouse.Each milestone showcases e&UAEs dedication

131、 to harnessing the transformative potential of AI,going beyondenhancing customer experiences to optimising operational efficiency,maximising productivity,and fosteringgroundbreakingbusiness innovation.e&UAE:AI Use CasesDriven by its commitment totechnologicalexcellence,e&UAEemergesasatrailblazerinAI

132、.Below is a summary of e&UAEs AI use case journey:2016AI takes centre stage with customer value segmentationGoing beyond data analysis,this strategic move marked e&UAEs entrance into AI.By using ML,thecompany segmented customers based on needs and behaviours,enabling targeted marketing andpersonalis

133、ed offers.This laid the foundation for future AI-powered customer experiences.2017RPA transforms customer registrationRPA was a game-changer in streamlining administrative tasks by eliminating long queues andcumbersome paperwork.Robotic automation took over routine aspects of customer registration,s

134、peeding up the process and allowing employees to focus on more complex and value-addedinteractions.2018Building a strong data foundationThe Customer 360This was more than a data lake;it was a treasure trove of customer insights.e&UAEs Customer360 combined traditional data with predictive models,AI-p

135、owered vision and language processing,and even economic factors.This empowered the team to anticipate customer needs and createhyper-personalised experiences.2019AI revolutionises customer serviceVirtual Agent 181 and beyondSteering away from having customers listen to music on hold or robotic promp

136、ts,Virtual Agent 181usheredinaneweraofcustomerservice.Chatbots,voiceanalytics,andAI-drivenrecommendations transformed interactions,offering 24/7 support and making every customer feelvalued and recognised.2020AI reimagines the customer journeyFacial Recognition,AI Factory,and moree&UAE implemented f

137、acial recognition technology in stores for instant customer recognition,enabling personalised greetings and targeted offers.The AI digital factory churned out newsolutions while predictive models optimised sales processes and pricing.2021AI meets social media and deep learningVirtual agents expanded

138、 to WhatsApp,extending reach and convenience to customers.Socialmedia channels became AI-powered,delivering relevant content and responding to customerqueries swiftly.Predictive models eliminated bill shocks,and deep learning unlocked even deepercustomer insights.19Unleashing the Power of AI|How e&U

139、AE is Shaping the Future of AI in Telecommunications and Beyond|20242022Unified Data and Self-Service RPA Empowering both customers and employeesUnified data management was launched to provide customers with a seamless experience,enabling access to all data needs in one place.Meanwhile,self-service

140、RPA puts the power ofautomation in the hands of employees,boosting efficiency and productivity.2023Collaboration and innovationJoining forces and prioritising AI The AI-First Programme ensured all initiatives prioritised AI integration,while GenAI and Data Robotcapabilities broadened their AI arsena

141、l.From fraud prevention to debt analysis,AI allowed thecompany to tackle new challenges and solve problems.2024On-Prem GPU Farm DeploymentThe deployment of an on-prem Oracle Cloud Infrastructure Dedicated Region(OCIDR)integratedwith Nvidia GPU clusters represents a pivotal use case in e&UAEs AI jour

142、ney.By bringing cloudcapabilities directly to its premises,the organisation gains control over its computing resources,ensuring reduced latency and enhanced data privacy.Leveraging the dedicated cloud region from Oracle,e&UAE tailors its environment to specificneeds,optimising performance for AI wor

143、kloads.Incorporating Nvidia GPU clusters furtheraccelerates AI adoption by providing high-performance computing capabilities,facilitating efficientmodel training,and supporting computationally intensive tasks.This strategic initiative enhancescurrent AI applications and positions e&UAE for future in

144、novation,reflecting a commitment tosecure,efficient,and cutting-edge AI integration.This is just a glimpse into e&UAEs AI journey.Each milestone reflects the companys commitment toinnovation,customers,andvisionforafutureoptimisedbyintelligenttechnology.e&UAE recent AI use cases:Empowered IT infrastr

145、ucture team by automating server patchingOp System Patching AutomationDeep Learning AI to automate Service Installation Auditing,Quality Assurance etc.Field ForceProfile-based personalisation which uses machine learning to recommend offers,food and productsSmiles PersonalisationMachine learning CVM

146、use cases focusing on both core and non-core telco servicesCVM:B2C&B2BRevenue GenerationTechnology Disruptive Use CasesChatGPT as an assistant for employees on MS Teams,and as content generator for CVM on GoChat mobile appChatGPT AdoptionGenAI ChatBot that streamlines HR interactions and starts to a

147、ccumulate use cases for enterprises e&enterprise Assistant Uses computer vision to automate human effort to validate e&staff photos as part of rebrandingAI Photo ValidationStores that utilise AI,IoT and computer vision to offer a seamless,self-service shopping experienceAutonomous StoresAuthenticate

148、 operations across channels by enabling customers to use their voice printAI Voice AuthenticationAutomated bill validation by resolving discrepancies in advanceBill ReviewCustomer Experience Enterprise Disruptive Use CasesThe story continues,and as AI evolves,so will e&UAEs journey,pushing the bound

149、aries of whats possible and shaping the future of telecommunications and beyond.06.e&UAE:AI Use Cases20Unleashing the Power of AI|How e&UAE is Shaping the Future of AI in Telecommunications and Beyond|202407GenAI Evolution Empowering the telecommunications industry,GenAIfuels transformation,elevatin

150、ginnovation,productivityandefficiencytonewheights.Enhanced Customer ExperiencePersonalisationEnableshyper-personalisedexperiencesbyanalysing customer data and predicting needs,leading to increased satisfaction and loyalty.SupportRound-the-clock AI-driven customer service withnaturallanguageprocessin

151、gforseamlessinteractions,reducing wait times and improvingresolution rates.Operational EfficiencyAutomationAutomateroutinetasks,fromnetworkmanagementtobilling inquiries,freeing upemployees to address more complexissues.Predictive MaintenanceUse AI to predict and prevent network outages orequipmentfa

152、ilures,ensuringuninterruptedservice and reducing maintenance costs.Innovative Services and ProductsNew OfferingsLeverageGenAItodevelopcutting-edgeservices like smart home solutions,enhancedsecurity features,and tailored data plans.Competitive EdgeStay ahead of the curve by using AI to quickly adapt

153、to market changes and proactively meet customer demands.Cost ReductionSavingsReduce operational costs through automationand improved efficiency,allowing for competitivepricing and better capital allocation.ScalabilityScale solutions up or down based on demandwithout significant additional costs,than

154、ks to theflexibility of AI systems.In the telecommunications sector,GenAI emerges as a catalyst for transformation,elevating the industry tonew heights.GenAI represents a sophisticated class of AI systems with a human-like capacity to comprehend,learn,and apply knowledge across diverse tasks.Beyond

155、conventional AI systems,GenAI can generate novelcontent,be it text,images,music,or code,making it a versatile and powerful tool.With its adaptability andinnovative problem-solving capabilities,GenAI is leading the way in technological innovation,offering aparadigm shift of unlimited possibilities fo

156、r the telecommunications sector.The diverse range of capabilities and applications achievable withGenAI and its transformative possibilities:21Unleashing the Power of AI|How e&UAE is Shaping the Future of AI in Telecommunications and Beyond|202422By following this roadmap,embracing experimentation a

157、nd letting GenAI become your formidable partner in innovation,the future is yours to shape.This roadmap is your comprehensive resource for effectively implementingGenAI in any project or product.The evolving landscape of GenAI holds transformative potential,reshaping approaches to work,creativity,an

158、dinnovation.However,navigating AIs sometimes uncharted waters requires a strategic approach.GenAI is a critical strategic enabler,bolstering e&UAEs prominence within the telecommunications industry.This transformative force equips the organisation with a strategic advantage,empowering it to navigate

159、 the digital era with unparalleled prowess.By embracing GenAI,e&UAE ensures it is future-proofed,surpassing mere current relevance.The integration of GenAI into its framework and operations equips e&UAE to effectively tackle the challenges and embrace the opportunities that lie ahead.Thisstrategicfo

160、resightpositionsthe organisationto meet the demands ofthefuturewithagility,excellence,and a competitive edge.07.GenAI EvolutionStep 1Clarify YourPurposeEmbark on your GenAI journey with a clear vision.Identify the specific user needs or business challenges GenAI will address.Whether crafting persona

161、lised content experiences,generating groundbreaking ideas,or optimising workflows,a defined purpose and specific problem that needs to be solved ensures alignment with overarching goals.Step 2Establish a Robust Data FoundationGenAI thrives on high-quality,relevant data.Evaluate existing data,identif

162、y gaps and explore augmentation techniques or external sources.Clean,unbiased data is paramount for accurate and valuable outcomes.Step 3Select Your GenAI Toolbox With vast options,from pre-trained models to open-source libraries,choose a tool that fits the projects unique needs,considering budget,t

163、echnical expertise,and desired functionalities.Step 4Prototype and IterateBegin with small-scale experimentation.Create quick prototypes to test GenAI implementation,gather user feedback,refine the approach,and iterate rapidly.Embrace this learning journey,understanding that perfection is not the im

164、mediate goal.Step 5Seamless Integration/Avoid Siloing GenAIStrive for seamless integration into existing workflows and tools through API connections,custom interfaces,or automated pipelines.Make GenAI feel like an organic,natural extension of your current operations.Step 6Continuous Monitoring and A

165、daptation GenAI models are dynamic systems.Regularly monitor performance metrics,analyse user feedback,and be prepared to adapt.Retrain data,fine-tune models or adjust parameters as necessary to maintain peak performance.Step 7Ethical Considerations and Responsible AI Finally,prioritising ethical co

166、nsiderations,such as deploying AI responsibly,is paramount.Ensure all projects adhere to ethical principles,addressing potential biases or unintended consequences.By employing GenAI responsibly,you build trust and unlock its full potential for positive impact.Unleashing the Power of AI|How e&UAE is

167、Shaping the Future of AI in Telecommunications and Beyond|202408These essential components,categorised as AI Enablers,encompass a triad of fundamental elements:AI Platforms,Data Enablers,and the supporting Data Infrastructure.Three essential AI enablers:e&UAE:AI Enablement With a strong vision for i

168、nnovation,e&UAE consistentlyinvests in and advances key elements that form the bedrockofourAIecosystem.AI PlatformsAt the core of our strategylies the development and refinement of PlatformsThese platforms serve as digital playgrounds where intricate algorithms,machine learning models,and advanced a

169、nalytics converge.Through continuous enhancement,we empower our teams to harness AIs full potential,facilitating swift development,testing,and deployment of intelligent solutions.Data EnablersCentralto the success of our AI endeavoursareourstate-of-the-art AI Data EnablersThese encompass a suite of

170、tools,methodologies,andprocesses designed to unlockthevalueembedded withinourvastdatareservoirs.Fromefficientdata collection andcleansing to sophisticatedpreprocessingand featureengineering,our DataEnablersensurethattheraw material for AI applications is not justvoluminousbutalso refined,accurate,an

171、d ready for insightful analysis.Data InfrastructureThe backbone supporting our AI initiatives ensures our AI ecosystem thrivesThis involves deploying and maintaining scalable,secure,and high-performance data architectures,including GPU cluster deployment on both on-premises and cloud environments.Th

172、ese infrastructural enhancements facilitate the seamless flow of information,ensuring that our AI models can access,process,and derive meaningful insights from data with unparalleled speed and efficiency.AIenablementinitiativesundertakenbye&UAEhighlighttheorganisationsstrategiceffortsto harness AI f

173、or transformative impact.AI PlatformsData EnablersData InfrastructureOn-prem LLM OrchestratorData MarketplaceBI SolutionsData WarehouseAI platforms put in placeData Layer enhanced in terms of capability,coverage across business lines and data pointsAdding GPUs on e&UAE cloudData Integration ToolsDat

174、a Robot ImplementationLogical Data FabricData Mesh ImplementationBig Data23Unleashing the Power of AI|How e&UAE is Shaping the Future of AI in Telecommunications and Beyond|2024The deployment of the On-Prem GenAI End-to-End(E2E)Platform marks a significant stride in the capabilities and benefits har

175、nessed by e&UAE.This strategic initiative unlocks major capabilities,empoweringevennon-technicalindividualsasCitizen GenAI Experts.The platform seamlesslyintegrates with any open-source Large LanguageModel(LLM)and facilitates the fine-tuning of ourdata,allwithinthesecureandcontrolledenvironment of o

176、n-premise infrastructure.Robustgovernancecontrols,ensuringsecurityandresponsible AI practices,form a foundational aspectof thisplatform.The integration is extended further,reaching acrossdataandapplicationlayersthroughAPIs,establishing a harmonious connection that enhancesoverall operational efficie

177、ncy.This provision enablesnext-level use cases and accelerates time to market,positioning e&UAE at the helm of AI innovation in thetelecommunicationsdomain.On-Prem GenAI PlatformBuilding the first GenAI OrchestratorAs part of our forward-looking initiatives in 2024,e&UAE aims to establish the first

178、GenAI Orchestrator.This pivotal development is designed to streamline and enhance the management of various GenAI components,ensuring cohesive and efficient deployment of AI capabilities across our ecosystem.Key components and features:Data SourceDocsSheetsDatabasesVideosPicturesData SourcesOrchestr

179、atorLLM IntegratorGovernanceOpen Source LLMBloomCohereLlama 2FalconJAISApplication LayerDRCC to support GPUs(Super Computing)Few Shot Context OptimiserPersona Intelligence EngineUploadServiceVectorisationEnginePersistenceVector MatchingDocument ManagerSpreadsheet ManagerAPI SourcesDatabase ManagerBy

180、 continually refining and fortifying these AI Enablers,including deploying GPU clusters in both on-premisesand cloud environments,e&UAE aims to outpace the ever-evolving digital arena and spearheadadvancements in AI.Through the synergy of cutting-edge platforms,refined data,and robust infrastructure

181、,we are well-positioned to shape the future of AI,driving innovation and unlocking new realms of possibility.Orchestration CapabilitiesThe GenAI Orchestrator will serve as a central hub for coordinating and managing diverse GenAI modules and applications.It facilitates seamless integration,allowing

182、different AI components to work cohesively and efficiently.Scalability and FlexibilityOne of the primary objectives is to ensure that the Orchestrator is scalable and adaptable to the evolving demands of our AI ecosystem.It will support the integration of new models,technologies,and functionalities,

183、fostering innovation within our AI infrastructure.Responsible AI Framework IntegrationA distinctive feature of the GenAI Orchestrator is its integration with a Responsible AI framework.This ensures that ethical considerations,fairness,and transparency are inherent in the deployment and functioning o

184、f our AI systems.Real-time Monitoring and OptimisationThe Orchestrator will provide real-time monitoring of GenAI applications,enabling proactive identification of potential issues or bottlenecks.This will allow for timely optimisation,ensuring optimal performance across different AI use cases.08.e&

185、UAE:AI Enablement24Unleashing the Power of AI|How e&UAE is Shaping the Future of AI in Telecommunications and Beyond|202425Theorganisationsroadmap encompassesthefollowingmethodologies:In summary,e&UAEs adoption of GenAI models is characterised by a strategic mix of out-of-the-boxconsumption,fine-tun

186、ing for specific requirements,pre-training for contextual relevance,Open Source Models,Telco LLMs and,when needed,the proactive creation of proprietary models.Thiscomprehensiveapproachunderscorestheorganisationscommitmentto leveragingthefullspectrumofGenAI methodologies,ensuring that each model adop

187、tion aligns seamlessly with its unique businessobjectivesandchallenges.GenAI roadmap by e&UAEe&UAE strategically leverages diverse GenAI models,demonstratingits versatility across various dimensions.UseTuneBuildCostCustomisation$+CostCustomisation$+CostCustomisation$+CostCustomisation$+Increasing Co

188、mpute RequirementsPROMPTINGLeverage pre-built modelse&UAE leverages the efficiency of out-of-the-box solutions and pre-built models by adopting a prompting strategy.This involves formulating specific instructions or queries to prompt the AI model to generate desired outputs.By consuming readily avai

189、lable pre-built models,the organisationaccelerates the integration of AI into its operations,tapping into established frameworks that align with its use cases.FINE-TUNINGFine-tuning a pre-trained modelRecognising the nuances of its unique requirements,e&UAE engages in fine-tuning pre-trained models.

190、This approach involves adjusting the parameters of a model previously trained on a large dataset to cater to specific tasks or domains relevant to the organisation.Fine-tuning allows e&UAE to tailor pre-existing models,enhancing performance and relevance to specific use cases.PRE-TUNINGTrain pre-bui

191、ltmodelse&UAE strategically emphasisespre-training models,extending the functionality of pre-built frameworks by infusing them with extensive data and knowledge.This involves training models on large datasets specific to the organisationsdomain,ensuring that the models are well-versed in e&UAEs uniq

192、ue challenges and requirements.This comprehensive pre-training approach boosts the adaptability and contextual awareness of the AI models.BUILD FROM SCRATCHBuild yourown modelIn instances where off-the-shelf solutions may not fully capture the complexity of e&UAEs needs,the organisationtakes a proac

193、tive approach by building its own models.This involves designing,building,and training new foundation models using deep learning architectures.This approach allows e&UAE to craft bespoke solutions tailored to its specific use cases,ensuring a highly customisedand optimisedAI framework.GenAIOpen-Sour

194、ceLightweightLLM ModelsIn response to the growing demand for accessible and adaptable AI technologies,the evolution of GenAIinvolves creating and disseminating open-source lightweight LLM Models.This signifies a shift towardsdemocratising AI,making advanced language models more widely available for

195、developers,researchers,andbusinesses.Open-source lightweight LLM Models provide a foundation for developers to explore and integrate AIcapabilities into diverse applications.The emphasis is on accessibility,allowing a broader community to benefitfrom advanced language processing functionalities.Theo

196、pen-sourcenature of the LLMalsofurtherfosters collaborationwithintheAIcommunity.Developers can contribute to improving and refining these models,ensuring continuous enhancements,andincorporating diverse perspectives.These lightweight models cater to various applications,from creativewriting tools an

197、d chatbots to code generation.Their versatility encourages innovation across various domains,contributingto the broader scope of AI applications.08.e&UAE:AI EnablementUnleashing the Power of AI|How e&UAE is Shaping the Future of AI in Telecommunications and Beyond|20242609The organisations incredibl

198、e journey is characterised by key milestones,starting with the creation ofspecialised teams in 2016,advancing through to the establishment of Robotic Process Automation(RPA),AICognitive and Machine Learning(ML)teams,and culminating in the integration of advanced AI technologiesand partnerships.As th

199、e AI and technology landscape evolves,e&UAE recognises the need to proactively shape its future.Setting the benchmark for innovation and responsible technology adoption is paramount,as well as continuingto stay at the forefront of emerging and disruptive technologies.Advances in fields such as artif

200、icial general intelligence(AGI),which could revolutionise what is possible bycreating systems that can learn and adapt like humans,have many implications.While AGI remains a long-termprospect,we are already laying the necessary foundations to ensure responsible progress in this field.Continuing to f

201、orge strategic partnerships and alliances,both regionally and globally,is key to sharing cutting-edge research and addressingsocioeconomic challenges and opportunities together.ConclusionLeading by example,e&UAE is setting the benchmark forinnovation and responsible AI adoption in the UAE andbeyond.

202、While incredible groundwork has been laid,this is just the beginning weintendtoremainattheforefrontofshapingAIslimitlesspotential.A broader visionWhile this whitepaper has focused on outlining e&UAEs AI journey and achievements,it is important torecognise that these efforts firmly align with and con

203、tribute to the parent company,e&groups AI vision at large.Whether through our core business verticals,e&UAE,e&international,e&life,e&enterprise,and e&capital,orthroughout our global footprint,e&is driving excellence by pioneering next-generation technologies andchampioninginclusive digital capabilities across every workstream,business,and geography.Unleashing the Power of AI|How e&UAE is Shaping the Future of AI in Telecommunications and Beyond|W H I T E P A P E R 2024Unleashing the Power of AI