The Synergy of Smart Applications and AWS the Era of Smart Applications Has Through Data-Driven Intelligence.) Arrived

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The Synergy of Smart Applications and AWS the Era of Smart Applications Has Through Data-Driven Intelligence.) Arrived The Synergy of Smart applications and AWS The era of Smart applications has through data-driven intelligence.) arrived. It is inevitable that every application of the future will be Smart. Wipro’s report on Wipro’s applications framework called Smart “Smart applications – the future of applications” Applications and AWS’ differentiated set of details the ‘What, Why and How’ of Smart services are coming together to build a strong applications. It covers the 4 Smart imperatives: enterprise application foundation. Wipro’s Smart Smart Interactions (how applications interact Applications have the power to understand latent with users); Smart Processes (processes that user needs and create intuitive experiences, while make core businesses smart); Smart Platforms AWS has the solutions to make it real and relevant (platforms that form the building blocks for smart for organizations. It is this blend that can show apps); and, Smart Security (the need for security actual proof and drive business results. 1. Smart Processes 4. Smart Platform Enable business agility through Leverage platforms to bring hyper automation and adaptive transformational business and intelligent business capabilities into core of the process management. enterprise and build foundation for the digital business. The 4 smart imperatives 2. Smart interaction 3. Smart security Humanize user interactions with Use data driven intelligence to applications leveraging natural make applications robust and means of interaction such as secure yet provide great user conversations and artificial reality. experience. Figure 1: The 4 smart imperatives Wipro’s report clearly defines the important role Amazon Web Services to deliver smart cloud plays in the Smart platforms imperative, applications – all the 4 smart doing most of the heavy lifting to deliver Smart imperatives applications. What’s the most logical step then? AWS has added a plethora of services for the The answer lies in collaborating with AWS, one of creation of Smart Applications. Let’s take the 4 the leading cloud computing companies to take imperatives into focus here and explore how AWS smart applications to the next level i.e. making it can be leveraged. real in industry scenarios. Enabling smarter interactions requires services like Amazon Lex that allow businesses to quickly and easily build sophisticated, natural language, conversational bots. Similarly, Amazon Polly 2 uses advanced deep learning technologies to synthesize speech that sounds like a human improving patients’ overall health and wellbeing. voice. Amazon Sumerian helps in creating To better illustrate the prowess of AWS in immersive experiences using augmented reality assisting the creation of smart applications, let us with very little coding. consider the example of a user, Jane, and see how Smarter processes are fuelled by automation that her journey of health and wellbeing could be can be delivered by a suite of AWS services, which re-imagined using Smart applications. automate end-to-end business processes. Take Jane, a 30-year-old architect, uses a fitness for instance, Amazon Rekognition that offers tracker which in tandem with a conversational image and video analysis, transcribes data for assistant, measures activity and guides her to speech recognition and enables language upkeep day-to-day wellbeing. The wearable also translation. Cognitive process automation can be monitors her blood glucose levels in real time. enabled by SageMaker (a machine learning Any deviation from the optimum glucose levels platform) and its low code approach to ML, while triggers the conversational assistant to ask Jane MXNet (a deep learning software framework) and some basic questions to gauge her wellbeing. an array of data intelligence services such as Besides, the app connects with her insurance Elastic MapReduce (EMR) and Elasticsearch can provider to check policy coverage, schedules an bring artificial intelligence into any process. appointment with her preferred provider, reminds The real power of AWS lies in its platform her when it’s time for renewal, and even helps her services, which offer umpteen options to build navigate to the clinic. Smart platforms for a business of any size and At the hospital, the doctor receives Jane’s history type. Consider AWS Elastic Load Balancer, which via a smart dashboard that summarizes her case. automatically distributes incoming application The doctor diagnoses Jane, and then dictates her traffic across multiple targets, and Amazon prescription to a chatbot, which uses NLP to Kinesis which durably stores, encrypts, and transcribe and then transmit it to the closest indexes data streams. AWS server-less offerings pharmacy. Upon arrival at the pharmacy, the like Lambda and DynamoDB bring the power of medication is dispensed by the pharmacist after a smart platforms without the hassle of maintaining QR code-based verification. At home, Jane uses a them. With SQS, Greengrass and API gateway connected “smart bottle” which dispenses the literally any ‘Thing’ that is powered on, can be right dosage of medicine. connected to build smart business platforms. Like with any data that moves across the internet, Along with X-Ray, CloudWatch and Cloud Trail, Jane has reservations about the safety of her AWS platform services are ideal building blocks sensitive medical records. Through seamless for creating autonomous platforms that host integration and systems interoperability, and the applications and provide elastic scaling, use of right encryption and authentication levels, self-healing and automated configuration. smart applications ensure that her information is Data-driven intelligence enables smarter security, secured even as it is shared across various points and AWS is at the forefront with Amazon Macie, including the app, services and the myriad and GuardDuty. AWS Cognito & Single-Sign-on systems involved. enable simple and secure user sign-up, sign-in, Meeting each of the smart imperatives with and access control to web and mobile apps, and multiple products and services, AWS is Amazon Inspector - an automated security undoubtedly a powerful platform for building assessment service helps improve the security smart applications. Here is a realization of the and compliance of applications deployed on AWS. architecture using various AWS offerings across the eco-system players and platforms involved to Making it real: Smart Healthcare implement this scenario. Smart Applications enable patient centricity and personalized care. With Smart Applications, patients can have better awareness and transparency during the healthcare, doctors and healthcare practitioners can offer highly personalized and accurate care, thereby 3 Pharmacy programs the dispenser Doctor uses a Smart Doctor application to interact Insurer Pharmacy Smart Dispenser using Pharmacy receives with the patient & AWS Greengrass structured prescription create a prescription and dosage Pharmacy programs the Skills to support dispenser conversational Diagnosis & patient 360 applications degree view, prescription Wearable using AWS Sends important Information Greengrass to health providers Amazon Alexa Skills Transcribe Prescription as functions Monitor vitals and make decisions in case of anomalies Amazon Alexa AWS using locally running ML model Skills on Amazon Alexa Lambda Amazon Transcribe Ask for health & Diagnosis Service well being advice Echo Device running Diagnosis service uses patient Amazon Lex Amazon Alexa context to suggest and pull-up contextual information to help AmazonEKS the doctor in better diagnosis Amazon Polly Authenticate Jane Amazon API Gate Way Patient Context Conversational Chat/Voice User stored in graph Bot on Smart Phone Real-Time patient context that doctors Amazon- can use for patient Assist with self-aware- Amazon Cognito Neptune ness of conditions and 360 degree view schedule appointments Authenticate User Machine learning models for VR/AR Application Developed Real – Time Event processing Amazon Sumerian transcription, diagnosis on AWS Sumerian Visualize body anatomy Data coming from to self-asses condition various sources Amazon including user and AWS Amazon Kinesis other health providers MXNet SageMaker Develop VR Application Figure 2: The healthcare experience goes smart 4 5 Amazon Web Services has in its portfolio, all the services and capabilities for creation of the smart applications required in this scenario. Lex, the Conversational Chatbot helps Jane to understand her condition. Conversational applications also help in scheduling appointments or answering any questions that Jane might have. Along with Lex, Polly (service that turns text into lifelike speech) helps in offering natural voice responses and alerts to Jane. AWS Greengrass (an AWS service that extends Amazon Web Services functionality to Internet of Things (IoT) devices, allowing a business to perform data collection and analysis closer to its origin) helps run local diagnosis modules that monitor and compute on the wearable to Smart Interactions understand Jane’s vitals and flag any potential issues. AWS Sumerian (an AWS service that lets you create and run virtual reality (VR), augmented reality (AR), and 3D applications quickly and easily without requiring any specialized programming or 3D graphics expertise) can help Jane understand human anatomy and increase her awareness of personal health and wellness. Alexa- enabled Echo can provide an alternate channel for Jane to get answers to her health and wellness- related queries in a natural way. Connected
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