Phil Harvey, Microsoft - Data & AI
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Microsoft sees huge potential for artificial intelligence (AI) and views data as critical for powering AI. Some key points: 1) Data is growing exponentially from various digital sources and AI helps make sense of this data. AI gives machines human-like abilities such as understanding language. 2) Microsoft's approach to AI includes developing frameworks and models while also providing AI services on Azure. Their goal is to make AI accessible to developers and organizations. 3) Case studies show how AI is helping companies like Carnival Cruises optimize operations through predictive analytics, and how AI helps Uber and airlines improve customer experiences and business operations.
Phil Harvey, Microsoft - Data & AI
- 1. Data & AI Data and Artificial Intelligence on Azure Phil Harvey Cloud Solution Architect for Data & AI One Commercial Partner UK
- 2. Today… Data is important Microsoft’s approach to AI Case studies
- 3. Data is important For everyone
- 4. THEREISALOTOFDATA CLOUD MOBILE INTERNET CONNECTED DIGITAL ANALOG 1985 1990 1995 2000 2005 2010 2015 2020 30 years Why is this important?
- 5. DATAISIMPORTANT Data gives us new ways of knowing and new things to know. Data makes software smarter through AI. It is how machines know.
- 6. AIOPPORTUNITY “$2.5tr Potential contribution to the global economy in Europe by 2030 from AI” - PwC analysis “Natural language processing among technology segment are expected to dominate the market” - Stratistics MRC “According to ‘Research and Markets’, the global chat bot market is set to reach $1.2B by 2025.” ~ CognitionX News letter. $1.2tr Estimated additional revenue/shifting revenue driven by AI in three years “40% boost in labour productivity in developed nations by 2035 through AI potential” ~ Accenture “38% Boost in rates of profitability in developed nations by 2034 through AI potential.” ~ Accenture It is a huge opportunity now!
- 10. LEADERSHIP • “Our goal is to democratise AI to empower every person and every organisation to achieve more. • “The core currency of any business going forward will be the ability to convert their data into AI that drives competitive advantage” • “Every developer can be an AI developer, and every company can become an AI company”
- 12. MICROSOFTAI
- 13. Popular frameworks To build advanced deep learning solutions TensorFlow KerasPytorch Onnx Sophisticated pretrained models To simplify solution development LanguageSpeech … SearchVision Azure Databricks Machine Learning VMs Azure Machine Learning Productive services To empower data science and development teams Powerful infrastructure To accelerate deep learning On-premises Cloud Edge Flexible deployment To deploy and manage models on intelligent cloud and edge MLONAZURE
- 14. ADVANCEMENTS 5.1% Switchboard speech recognition test 96% RESNET vision test 152 layers 88.493% SQuAD reading comprehension test 69.9% MT research system Object recognition Human parity 2016 Machine reading comprehension Human parity Jan 2018 Speech recognition Human parity 2017 Machine translation Human parity March 2018 Microsoft AI
- 15. AIPRINCIPLES http://microsoft.ai Fairness Reliability & Safety Privacy & Security Transparency Accountability Download: http://aka.ms/futurecomputed
- 16. Case studies Let’s have a look at AI in action
- 20. ENGAGEYOURCUSTOMERS ENGAGE throughout the path to purchase BRIDGE physical and digital experiences PREDICT what customers want PROFIT from optimized engagement
- 21. ▪ 85,000 items with 5,000 new ones added each week ▪ Microsoft Azure SQL Database to store relational customer data. ▪ Azure Cosmos DB supporting numerous microservices with low latency. ▪ Machine learning models generate real-time recommendations http://customers.microsoft.com/en-us/story/asos-retail-and-consumer-goods-azure Hyper focused on customer experience.
- 22. CASESTUDY Uber is using driver selfies to enhance security, powered by Microsoft Cognitive Services Professional Services Employees: 6,700 Cognitive Services Technologies Size Industry
- 24. AIRLINES Deliver powerful new experiences to customers Solve age old customer issues with data and AI Lost Luggage Staff collaboration to share customer service tips
- 26. OPTIMISEOPERATIONS MODERNISE for a responsive supply chain STREAMLINE business processes, commerce and supply chain PREDICT demand, optimize supply and assets PROTECT business, customer and employee data
- 27. CASESTUDY • Customer need Carnival cruise line struggled to accurately predict water usage onboard ships, leading to costly water storage or production. • Impact Advanced Analytics model optimizes onboard water storage, saving $200k per ship annually Historical and real-time data analysis enables predictive maintenance SAVING $5.2M WITH INTELLIGENT WATER UTILIZATION Advanced Analytics and AI predict water usage https://enterprise.microsoft.com/en-us/customer- story/industries/hospitality-and-transportation/carnival-cruises- testing-waters-machine-learning-cortana-intelligence-suite/
- 28. Challenge • Help aviation customers minimize the cost and disruption of maintenance activities • Help customers better manage fuel costs Solution • Use IoT technology to collect, aggregate, and analyze engine and other data • Provide dashboard for insights from data Benefits • Improves the efficiency of maintenance activities and fuel usage for customers • Delivers insights to the right stakeholders at the right time • Saves customers money and time “We can use data and insight in new ways to refine our customers’ operations to add more value to them and allow them to do more with less.” — Nick Farrant, Senior Vice President, Rolls-Royce Engine manufacturer delivers advanced operational intelligence to airlines
- 30. Data & AI at the heart Of digital transformation
- 32. © Copyright Microsoft Corporation. All rights reserved.