Innovate on Cloud with AWS
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This document discusses the pressures organizations face to deliver more with less, faster and with greater security and compliance. It states that a cloud strategy can address these pressures by managing risks, optimizing costs and enabling workload-optimized deployments. The document advocates for a sound cloud migration strategy and notes the journey to the cloud is inevitable.
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Innovate on Cloud with AWS
- 1. With Amazon Web Services Kavitha Mohammad Director, Industry Solutions Group, Intel
- 2. Intel Confidential – Do Not Forward 2 Pressure to deliver more Do more with less Deliver across many locations Delivery broader services Pressure to deliver faster Limited room for failure and downtime Don’t disrupt operations waiting for upgrades, patches. Pressure to secure and comply Enforce security and maintain privacy Adhere to policies/governance 1. Manages the risks associated with putting certain workloads in the cloud versus keeping on premise. 2. Optimizes IT resources and costs 3. Enables a deployment model that is workload optimized for every application A Cloud Strategy addresses these pressures and…. A Sound Cloud Migration Strategy is Needed The Journey to the cloud is inevitable
- 3. Intel Confidential – Do Not Forward 3 WiFi + LP WiFi Bluetooth® Technology + BTLE 3G/4G/LTE(GPRS) ZigBee*, Zwave 6 LoWPAN* WiHart* Ethernet RFIDSensor Sensor Sensor Actuator Sensor Actuator AWS IoT Device SDK Gateway AUTHENTICATION AUTHORIZATIONSecure with mutual authentication and encryption MESSAGE BROKERCommunicate with devices via MQTT and HTTP Device attributes REGISTR YIdentity and Management of your things AWS IoT API RULES ENGINETransform messages based on rules and route to AWS Services SHADOW Persistent thing state during intermittent connections AWS Services ----- 3P Services APPLICATIONS Device Security, Configuration & Management ODM GW Manufacturer Device Inventory MCU I/O MCU IOT: Intel – AWS Solution
- 4. Intel Confidential – Do Not Forward 4 Smart INFRA - Video analytics Gov’t IP Camera NVR Device Mgt. (ONVIF) Storage (HDFS, HBase, etc.) Edge Device Real-time Stream Processing (Spark Streaming, Storm, etc.) Backend (Cloud) Analytics APILibrary&APIMgmt(Mashery) Compute (Spark, MapReduce, etc.) Data Input (Flume, Kafka, etc.) • Video Encode • Video Storage • Object Detection • (Region of Interest) • Distributed analytics algorithms & frameworks for high volume and high complexity (real-time) video analysis • API for 3rd-party algorithm and service integrations Based Analytics Platform Analytics Applications Tracking in Public Environment Search by Face … Analytics Algorithms & Frameworks Face Detection Fatial Detection … Machine Leaning (e.g., classifier)
- 5. Intel Confidential – Do Not Forward 5 Big Data Solution on AWS Storage Content & Delivery EBS Block Storage for EC2 Instances Glacier Archive Storage in the Cloud AWS Import/Export Snowball Large-scale Data Transport S3 Scalable Object Storage in the Cloud AWS Storage Gateway Integrates On-Premise Storage with the Cloud Elastic File System Fully Managed File System for EC2 CloudFront Global Content Delivery Network Database RDS Fully Managed MySQL, PostgreSQL, Oracle, SQL Server, MariaDB and Amazon Aurora Redshift Fast, Powerful, Full Managed, Petabyte-scale Data Warehouse Service Elasticache Memcached and Redis In Memory Cache Service DynamoDB Predictable and Scalable NoSQL Data Store Analytics Elastic Map Reduce Fully Managed Hadoop Framework Kinesis Managed Streaming Data Platform Data Pipeline Orchestration for Data Driven Workflows Elasticsearch Deploy, Operate and Scale Elasticsearch and Clusters Machine Learning Build Smart Applications Quickly and Easily
- 6. Intel Confidential – Do Not Forward 6 Edu: Cloud benefits span from IT to the clas Students and Faculty Deliver Engagement with Students and Teachers Collaborate Any Way Private Cloud BI APP Public Cloud Across Any Device Less tech updates = more learning time Mobility Access to more content Added services (analytics, etc.) Collaboration & information sharing Scalability to grow Easily managed Agility to handle spikes Automatic patches & updates Ease of deployments Cost flexibility (CapEx vs OpEx) Built-in redundancy Educational Benefits IT BENEFITS
- 7. Intel Confidential – Do Not Forward 7 SMART HOME: ALEXA AWS Cloud Process the Voice command by Cloud Servers – then Automates Scenarios/Scenes Intel Based Broadband Modem Intel GRX 750 WiFi access point router Intel based Smart hub http://www.cybertan.com.tw /Products/ZE250.html “Alexa, turn on Good Night” “Alexa, turn on Good Morning” Things Bluetooth Z Wave ZigBee The Smart Tiny Home Powered by Intel & Amazon Alexa
- 8. Intel Confidential – Do Not Forward 8 HPC Today: Two (Connected) Worlds Supercomputing The “rest” of HPC
- 9. Intel Confidential – Do Not Forward 9 Example HPC Cloud Use Cases Compute Demand vs. Cluster Size Cluster size Compute Demand Wasted Resources Missed Opportunity Burst capacity to expand on-premise resources As means to make on-premise systems more valuable Sandbox to explore new ideas without disrupting production systems As “on ramp” for new users of HPC As vehicle to deliver new HPC-powered services Image courtesy of Cycle Computing
- 10. Intel Confidential – Do Not Forward 10 Ai is transforming industries Consum er Health Finance Retail Governm ent Energy Transpor t Industrial Other Smart Assistants Chatbots Search Personalization Augmented Reality Robots Enhanced Diagnostics Drug Discovery Patient Care Research Sensory Aids Algorithmic Trading Fraud Detection Research Personal Finance Risk Mitigation Support Experience Marketing Merchandising Loyalty Supply Chain Security Defense Data Insights Safety & Security Resident Engagement Smarter Cities Oil & Gas Exploration Smart Grid Operational Improvement Conservation Automated Cars Automated Trucking Aerospace Shipping Search & Rescue Factory Automation Predictive Maintenance Precision Agriculture Field Automation Advertising Education Gaming Professional & IT Services Telco/Media Sports Early adoption exampl es Source: Intel forecast
- 11. Intel Confidential – Do Not Forward TEL’S DATA STRATEGY: VIRTOUS CYCLE OF GROWTH 11
- 12. Intel Confidential – Do Not Forward TEL + AMAZON Things & devices CLOUD & DATA CENTER 12
Notes de l'éditeur
- Expert: TBD
- Virtually any Big Data Application including fraud detection, recommendation engine, IOT Amazon EMR managed Hadoop framework, runs Apache, Spark Amazon Athena analyze petabytes of data in Amazon S3 Amazon Kinesis near realt time analytics Database S3 (obecjt storage), Dyanmo DB (NoSQL), Aurora (RDSM) Data Warehousing Amazon Redshift Business Intellgince Amazon Quick Sight AI Amazon Lex,
- Amazon Alexa and Amazon products like the Echo, can be used to control your smart home throughout the day simply by using your voice. With today's number of devices in the home being used simultaneoulsy for things like streaming content, virtual reality and home management and security systems - Intel technologies bring optimal performance for improved speed and network coverage so your WiFi is as reliable as your electricity. Key Intel technology / Products to highlight Smart Speaker Lenovo Smart Assistant based on Intel Pentium based processor provides far field enable speech input with Amazon Alexa Voice Assistant Connectivity Intel GRX 750 router and IRX extender provides WiFi and Internet connectivity into the home Smart Hub (Hardware) Intel’s IOT reference Cybertan IOT smart home hub with multiple RF and WSN (WiFi/Zigbee, BLE, Z-wave/3G/4G interfaces) Standards (Software) Intel’s Smart Home Developer Acceleration Platform (Home Lake) and Open Connectivity Foundation (OCF)
- Which industries are the earliest adopters of AI? Generally, those segments with clear use cases, high purchasing power, and high rewards for making decisions quickly and/or more accurately will adopt AI fastest. Here are the segments that we believe will lead AI through 2020, ordered by market opportunity. Consumer Smart Assistants – personal assistant that anticipates, optimizes, automates daily life (e.g. Amazon Alexa, Apple Siri, Google Assistant, Microsoft Cortana, Facebook Jarvis home automation, X.ai virtual assistant Amy) Chatbots – 24/7/365 no waiting access to an informative or helpful agent (e.g. WeChat, Bank of America, Uber, Pizza Hut, Alaska Airlines, Amtrak, etc.) Search – ability to more intelligently search more data types including image, video, context, etc (e.g. Improved Google search, Google Photos, ReSnap) Personalization – ability to automatically adjust content/recommendations to suit individuals (e.g. Entefy, Netflix recommendation engine, Amazon personalized shopping recommendations) Augmented Reality – overlay information on our field of view in real-time to identify interesting or undesirable things (e.g. Intel Project Alloy, Google Translate using smartphone camera) Robots – personal robots that are able to perform household, yard, or other chores (e.g. Jibo robot for day-to-day functions, Roomba follow-ons) Health (SME: Kristina Kermanshahche, Ketan Paranjape) Enhanced Diagnosis – a tool for doctors to augment their own diagnosis with more data, experience, precision and accuracy (e.g. radiology image analysis, Journal of American Medicine Association paper on retina scan for diabetic retinopathy, skin lesion classification to recognize melanoma with 98% accuracy, medical history scraping, treatment outcome prediction) Drug Discovery – computational drug discovery that intelligently hones in on the most promising treatments (e.g. speeding pharma drug development) Patient Care – machines that aid with monitoring, treatment, and/or recovery of patients (e.g. visual patient monitoring, autonomous robotic surgery, friendly medication and/or physical therapy robots) Research – instantly sifting through hundreds of new research papers and clinical trials that are published each day to make new connections (e.g. AI at University of North Carolina’s Lineberger Comprehensive Cancer Center) Sensory Aids – filling in for various senses that are absent or challenged (e.g. visual aid, audio aid) Finance (SME: Robert Geva) Algorithmic Trading – augment rule-based algorithmic trading models and data sources using AI (e.g. Kensho analysis of myriad data to predict stock movement) Fraud Detection – ability to identify fraudulent transactions and/or claims (e.g. USAA identifies fraud using Intel’s Saffron technology) Research – ability to intelligently assemble, parse, and extract meaning from troves of data that influence asset prices (e.g. Quid, FSI firm reducing time to insight for portfolio managers through smart knowledge management system) Personal Finance – smarter recommendations, lower risk lending, greater efficiency (e.g. active portfolio recommendations, quickly parsing more data before issuing loan, automatic reading of check scans, etc.) Risk Mitigation – detect risk factors and/or reduce the burden of regulation and minimize errors through automated compliance (e.g. IBM+Promontory Financial Group using natural language processing to detect excursions) Retail (SME: Janet Kerby, Chris Hunt) Support – bots providing shopping, ordering and support in lifelike interaction (e.g. My Starbucks Barista, KLM Dutch Airline customer support via social media, Nieman Marcus visual search, Pizza Hut order pizza via bot, Adobe Digital’s digital mirror that recommends clothes, intelligent phone menu routing based on NLP, ViSenze recommending similar items based on image, Adobe Digital’s digital mirror that recommends clothes) Experience – deliver winning consumer experiences in-store (e.g. Amazon Go checkout-free grocery store, Macy’s mobile shopping assistant, Lowes Lowebots that roam stores answering simple questions and tracking inventory) Marketing – precision marketing to consumers, promoting products and services how and where they want to hear (e.g. North Face “Expert Personal Shopper” on website) Merchandising – better planning through accelerated and expanded insight into consumer buying patterns (e.g. Stitch Fix virtual styling, Skechers.com analyzing clicks in real-time to bring similar catalog items forward, Wal-mart pairing products that sell together, Cosabella evolutionary website tweaks) Loyalty – transform the consumer experience through segmentation (e.g. Under Armour health app that constantly collects user data to deliver personalized fitness recommendations) Supply Chain – optimize the supply chain and inventory management for efficiency and innovate new business models (e.g. OnProcess technology’s use of predictive analytics for inventory management) Security – improve security of all consumer and business digital assets, such as real-time shoplifting/lifter detection, multi-factor identity verification, data breach detection (e.g. Mastercard pay with your face, Walmart facial recognition to catch shoplifters) Government (SME: Harris Joyce) Defense – drones, connected soldiers, defense strategy (e.g. military/surveillance drones, autonomous rescue vehicles, augmented connected soldier, real-time threat assessment and strategy recommendation) Data Insights – analyze massive amounts of data to identify opportunities/inefficiencies in bureaucracy, cybersecurity threats and more, to ultimately implement better systems and policies (e.g. MIT AI that detects cyber security threats) Crime Preventionusing AI to predict and help recover from disasters thanks to ability to quickly process large amounts of unstructured data and optimize limited resources (e.g. 1Concern, BlueLineGrid) Safety & Security – crowd analytics, behavioral/sentiment analytics, social media analytics, face/vehicle recognition, online identity recognition, real-time video analytics, using AI to predict and help recover from disasters thanks to ability to quickly process large amounts of unstructured data and optimize limited resources (e.g. police analyzing social media to adjust police presence, license plate readers in police cars, 1Concern, BlueLineGrid) Resident Engagement – new tools to facilitate citizen engagement like chatbots, at-risk citizen identification, (e.g. Amelia chatbot in North London Enfield council, North Carolina chatbot to help state employees with IT inquiries) Smarter Cities – traffic/pedestrian management, lighting management, weather management, energy conservation, services analytics (e.g. San Francisco and Pittsburgh using sensors and AI to optimize traffic flow) Energy (SME: Noe Garcia, Tonya Cosby) Oil & Gas Exploration – automated geophysical feature detection (e.g. oil & gas producers using AI to augment traditional modeling & simulation) Smart Grid – predictive and real-time intelligent generation, allocation, and storage of power to meet variable demand (e.g. GridSense, SoloGrid) Operational Improvement – safety and efficiency improvements through predictive and/or insightful AI (e.g. GE Oil and Gas using predictive analytics and AI to predict and preempt potential operational problems) Conservation – intelligent buildings, computing and appliances that reduce power consumption and are more efficient than producing another kWh of electricity (e.g. Google DeepMind datacenter energy reductions) Transport (SME: Len Klebba) Automated Cars – autonomous cars driving on the roadways (e.g. BMW, Google, Uber, many others) Automated Trucking – autonomous trucks driving on the roadways (e.g. Daimler) Aerospace – autonomous planes and other aerial vehicles (e.g. Boeing’s evolution of autopilot and drones) Shipping – autonomous package delivery via drone or other vehicle (e.g. Amazon package delivery drone) Search & Rescue – ability to deploy autonomous robot to search and rescue victims in potentially hazardous environments (e.g. war casualty extraction, miner rescue, firefighting, avalanche rescue) Industrial (SME: Mary Bunzel, Esther Baldwin) Factory Automation – highly-productive, efficient and safe factories with robots that can see, hear and adapt to their environment to produce goods with incredible quality and speed (e.g. assembly line) Predictive Maintenance – ability to detect patterns that indicate the likelihood of an upcoming fault that would require maintenance (e.g. airline being able to adjust schedule to perform preventive maintenance before a failure) Precision Agriculture – ability to deliver the precise amount of water, nutrients, sunlight, weed killer, etc to a particular crop or individual plant (e.g. farmer using visual weed search to zap only weeds with RoundUp, automated sorting of produce for market) Field Automation – ability to automate heavy equipment beyond the factory walls (e.g. mining, excavation, construction, road repair) Other Advertising – interactive ads, adaptive ads, personalized ads, real-time ads (e.g. AdBrain, MetaMarkets, Proximic, RocketFuel) Education – virtual mentors, foreign language instruction, automated study sheets, personalized assignments, cheating detection, deliberate practice, machine-to-machine instruction (e.g. Intelligent Tutor Systems, Content Technologies Inc, PR2 robot from Cornell) Gaming – dynamic and interactive video game experiences (e.g. Xbox Kinect, Playstation Eye, Wii) Professional & IT Services – sales, marketing, legal research, accounting/tax, assisted counseling, customized IT recommendations (e.g. Pinsent Masons law firm that emulates human decision-making, Salesforce use of AI) Telco/Media – customized content/ads, network optimization, quality of service, mobile/home security (e.g. media company customizing tv show recommendations and ads, network operator ensuring efficient and high-quality delivery/repair, wireless company using multi-factor security) Sports – intelligent analytics for injury prevention and betting (e.g. Kinduct injury prevention, Microsoft Cortana predicting football games) Here is an even broader list of industries that will be impacted by AI: Advertising, Aerospace, Agriculture, Automotive, Building Automation, Business, Education, Fashion, Finance, Gaming, Government, Healthcare, IT, Investment, Legal, Life Sciences, Logistics, Manufacturing, Media & Entertainment, Oil/Gas/Mining, Real Estate, Retail, Sports & Fitness, Telecommunications, Transportation Sources: Intel forecast (IDC, GII Research, Tractica, Technavio, Market Research Store, Allied Market Research, BCC Research)