Skip to main content
UploadLanguage (EN)Support
BusinessMobileSocial MediaMarketingTechnologyArt & PhotosCareerDesignEducationPresentations & Public SpeakingGovernment & NonprofitHealthcareInternetLawLeadership & ManagementAutomotiveEngineeringSoftwareRecruiting & HRRetailSalesServicesScienceSmall Business & EntrepreneurshipFoodEnvironmentEconomy & FinanceData & AnalyticsInvestor RelationsSportsSpiritualNews & PoliticsTravelSelf ImprovementReal EstateEntertainment & HumorHealth & MedicineDevices & HardwareLifestyle
Aarthi Srinivasan, profile picture
Uploaded byAarthi Srinivasan
PPTX, PDF709 views

How to get on the AI journey?

1) The document discusses reasons to invest in AI now, how companies can adopt AI, and the future of AI. 2) Key reasons to invest now include increased computing power, large datasets, and major companies investing billions in AI. AI could contribute $15 trillion to global GDP by 2030. 3) Companies should start with small automation projects to reduce costs and errors, then expand use of AI. They should also create cross-functional product teams to identify opportunities. 4) The future of AI includes more advanced voice recognition, predictive platforms, expanded use in industries like manufacturing and education, and applications in healthcare like disease diagnosis and drug development. AI is already used widely in applications like digital assistants,

Technology◦
Downloaded 12 times
Who & Why do I care ? 1 Hidden Figures Marvin Laucher, part time coal miner, part time website builder. C++ CNN Convolution Neural NetworkRef – Nasa.com, Cnn Money,youtube.com
BUILDING AI PRODUCTS Aarthi Srinivasan Director of Product Management Target Inc. 2
Successful if we discuss 1. Why should I invest in AI now ? 2. How can I use AI research to help my company? 3. What should I expect in the future ? 3 Goal: Provide a perspective on AI adoption
WHY SHOULD I INVEST IN AI NOW ? 4
We adopt technology faster than grandma 5
AI is not new - Why now? 6 Ref – McKinsey Co, MIT Lex Fridman, HBR, Indeed.com 1. Computing scale: CPU, GPU, ASICs 2. Datasets and infrastructure to handle big data 3. Amazon, Google, FB, MSFT investing in platforms
$37B market by 2025 7 * - 2012 – 2017 ; Ref: Venture beat, $15 B* AI investments with $15Trillion impact on GDP by 2030 Images: Intershala Start ups ~$8B (2012-2016) AutoTech BI Analytics (Training data) Healthcare 2 31 Big Corporations ~$6B (2013 - 2016) Voice is the newText AI Platform Cloud 1 2 Vision & Image recognition 3 Ford invested $1B in Argo self-drivingAI tech
Talent in high demand & ROI still too early Reference - McKinsey & co HBR Survey, Engagednet 8 • AI can boost your top and bottom line  30% of the users scaling AI solutions are achieving revenue increase  Google launched “Auto Ads” which automatically places and selects ads / formats (revenue lift of 10 percent with revenue increases ranging from five to 15 percent) • # of open jobs in AI / ML / Data Science – 150K • Digital capabilities come before AI  Odds of generating profit from using AI are 50% higher for companies that have strong experience in digitization.
HOW CAN I GET ON THE AI TRAIN ? 9
Academia meets business with AI 10 Researchers Training Data Prep Machine Learning Deep Learning Reading papers Implement results Businesses Customer Pain Corporate Strategy Growth Key Results such as Profit, Revenue, Basket size • Google’s Kaggle - open source competitions • Product Managers collaborate on use cases Examine the end to end operations of the company and look for areas that can be automated
11 Start Small - Save Cost / Automation with error reduction Try new solutions in few channels to showcase results Expand to other channels & problem sets Resulting web of trees Create a product organization with agile practices & transparency with key objectives Where can I use AI? 1. “Use Deep learning to automate anything a human can do without thinking much in less than 1 second e.g. Identify cat pictures or smile / frown 2. Use for Predictive analysis “ – Andrew Ng with caveats
Sample product purchase evolution 12 Door to door sales or In-Store Online & Mobile platform Crowd sourced Marketplace (Amazon, Ebay, Etsy, Nextdoor, Facebook) Predictive Marketplaces Predictive Voice Alexa Google Home iOT Dash (Human in the loop) Vending Machines Robots Inventory Robots Pepper Robot
When should I stop the algorithm? Ref – Andrew Ng 13Time Human Level Performance Human level accuracy Optimal Error Rate / Bayes Error Rate
WHAT IS THE FUTURE ? 14
15 Reference: https://www.youtube.com/watch?v=qWsJs71BC_I, youtube.com
AI is already in our everyday lives 16 Health & WellnessBasics • DNA sampling & diagnosis • Lifestyle predictive Management • ER & Hospital management • Remote Doctors • Mental Health • Drug Discovery • Shopping Recommendations • FB image recognition • Siri Voice recognition • Google Home / Alexa assistants • Optimized path maps • Spam filter on email • News aggregators / Personalized news
17 Next 5 and 10 years • Voice recognition & ease of use • Platforms to prepTraining data & Analyze • AppliedAI in Finance, Security, Education (Block chain will aid this) • Industry 4.0 (Manufacturing / Weaponry…) • Autonomous vehicles • AR/VR in projection spaces (don’t need to wear devices) • Vision & Emotion precision: E-commerce (Electronic malls), Intelligent individual • Healthcare Disease diagnosis • Distant Doctor / Drug development • Disease free longevity (cancer cure) • Space exploration • Environment protection (if we live on Earth) 5+ 10+
18 Unite using technology to solve big problems without dehumanizing Ref – http://blog.crisman.com image with edits
Sources 19 http://money.cnn.com/2016/04/22/news/economy/coal-workers-computer-coders/index.html https://www.nasa.gov/content/dorothy-vaughan-biography https://www.mckinsey.com/business-functions/mckinsey-analytics/our-insights/an-executives-guide-to-ai https://www.youtube.com/watch?v=1L0TKZQcUtA https://www.engadget.com/2018/02/21/google-ai-ad-placement/ https://www.slideshare.net/saarthi_123/product-school-ai-funding-trends-product-management https://seekingalpha.com/article/4063499-investing-artificial-intelligence-economic-growth-stock-picking https://www.cbinsights.com/blog/artificial-intelligence-startup-funding/ https://www.cbinsights.com/blog/cybersecurity-ai-startups-threat-trends/ https://venturebeat.com/2017/06/09/ais-37-billion-market-is-creating-new-industries/ http://www.nanalyze.com/2017/04/6-ai-cybersecurity-startups/ https://www.cbinsights.com/blog/artificial-intelligence-healthcare-startups-investors/ https://www.cbinsights.com/blog/artificial-intelligence-startups-healthcare/ https://www.wired.com/2017/05/mapped-top-263-companies-racing-toward-autonomous-cars/ http://www.businessinsider.com/the-companies-most-likely-to-get-driverless-cars-on-the-road-first-2017-4/#2-general-motors-17 https://www.techemergence.com/examples-of-artificial-intelligence-in-education/ https://venturebeat.com/2017/03/13/5-tech-firms-racing-to-invest-in-ai-startups/ https://www.cbinsights.com/blog/top-acquirers-ai-startups-ma-timeline/ http://www.cms-connected.com/News-Archive/April-2017/Google-Apple-Facebook-Intel-Microsoft-Salesforce-Twitter-Battle-AI-Supremacy https://www.wired.com/insights/2014/08/the-new-eyes-of-surveillance-artificial-intelligence-and-humanizing-technology/ https://www.movidius.com/news/intel-movidius-helps-bring-artificial-intelligence-to-video-surveillance-cameras https://www.forbes.com/sites/steveculp/2017/02/15/artificial-intelligence-is-becoming-a-major-disruptive-force-in-banks-finance-departments/#52bc03a34f62 https://www.forbes.com/sites/gilpress/2017/01/23/top-10-hot-artificial-intelligence-ai-technologies/#58bb8bf19287 http://www.internetlivestats.com/google-search-statistics/#trend http://blog.crisman.com image with edits https://angel.co/artificial-intelligence
Appendix 20
HBR survey summary of 3000 AI executives Reference - McKinsey & co 21 • Don’t believe the hype: Not every business is using AI despite a 26B investment in AI  20% are using at least 1 solution at scale • Believe the hype that AI can potentially boost your top and bottom line  30% of the users are achieving revenue increase • Without support from leadership, your AI transformation might not succeed • You don’t have to go it alone on AI — partner for capability and capacity. Machine learning is a powerful tool, but it’s not right for everything. • Resist the temptation to put technology teams solely in charge of AI initiatives • Take a portfolio approach to accelerate your AI journey  Short-term: Focus on use cases where there are proven technology solutions today and scale  Medium-term: Experiment with technology that’s emerging but still relatively immature  Long-term: Partner to solve a high-impact use case with bleeding-edge AI technology • Digital capabilities come before AI  Odds of generating profit from using AI are 50% higher for companies that have strong experience in digitization.
22
23 Ref – MIT
Identify data needs & create a service mentality Data Hygienists Clean incoming data for accuracy E.g. Calendar days vs. working days to count # of days Data Explorers Sift through data to discover the data we actually need E.g.Training data Solution Architects Organize the explored data for analysis & querying Data Scientists Model the organized data for predictive analytics Experience Experts Turn the models into experiences that get results E.g. e-mail, Interactive Reference – HBR 24
Auto-tech, BI & Healthcare are major investment areas 25 Investments By Sectors in USD MM
26 Investments By Sectors in USD MM Early prevention & diagnosis will increase life span
Robotics, Auto, Facial & Voice recognition attract huge investments 27 Investments Size in USD MM Investments Size in USD MM Number of companies by investment size
Corporate acquisitions primarily in Core AI 28 Top Acquisitions by Big Companies1
Voice will be the new Text 29 Google • 11+ acquisitions • ML Platform creation • Vision / Image and Speech recognition • Business Process improvements Apple • 7+ acquisitions • Vision / Image and Speech recognition • Catch up with Google on platform creation (Turi) Facebook • Vision / Image and Speech recognition • Voice activation SDKs Microsoft • Voice enabled assistant • Type ahead predictor • Voice activation SDKs (AI Fund)
30 These companies market cap surpass the GDP of India (previously Russia and Canada) Reference – Scott Galloway Ted talk
31 Reference – https://angel.co/artificial-intelligence