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Your AI Transformation
H2O.ai is an industry leader in AI and machine learning, assisting companies in their transformation to AI-driven businesses by providing expert guidance and innovative tools. Founded in Silicon Valley in 2012, H2O.ai has raised $147 million and offers open-source machine learning platforms and automated solutions tailored for various sectors, including finance and healthcare. The company's mission aims to democratize AI by making it accessible to all while addressing market trends such as the cultural shift required for successful AI integration across enterprises.
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Your AI Transformation
- 1. Parul Pandey Data ScienceEvangelist,H2O.ai AI Transformation H 2 O . a i G u i d a n c e H2O.ai is a visionary and market leader in AI and machine learning helps transform companies into AI companies. We provides expertise to guide our customers as partners through this AI transformation.
- 2. Confidential2 Founded in SiliconValley 2012 Funding: $147M | Series D Investors: Goldman Sachs, Ping An, Wells Fargo, NVIDIA, Nexus Ventures Company Products Global H2O Open Source Machine Learning H2O Driverless AI: Automatic Machine Learning H2O Q: AI platform for business users Mountain View, NYC, London, Paris, Ottawa, Prague, Chennai, Singapore 220+ 1K 20K 180K Universities Companies Using H2O Open Source Meetup Members Experts H2O.ai Snapshot
- 3. Democratizing AI forAll Our mission to democratize AI permeates into everything we do AI Transformations Bringing AI to Industry by helping companies transform their businesses with H2O.ai Business AI4GOOD Bringing AI to Impact by augmenting non-profits and social ventures with technological resources and capabilities Impact/Social AI4EVERYONE An industry leader in open-source tools, providing cutting edge AI & ML toolkits via H20-3 People
- 4. Confidentia l4 Key Market Trendsin Data Science: WHAT WE HEAR FROM THE MARKET ”AI is graduating from the innovation labs to the entire enterprise.” “Companies are “betting the farm” on AI. They’re looking for partners to make them an AI company for competitive advantage." “Change management is a big concern for companies. AI is no longer a technology problem, but a cultural problem.” “Transformation is occurring across all lines of business.” “Make AI accessible for business users” “Customers are asking for vertical AI solutions” “Infrastructure neutrality is important for enterprises Explaining AI to business is important, Operationalizing models is key” “Model factories across the enterprise”
- 5. Confidential5 Confidential5 Data +AI + People Transformations
- 6. Confidential6 Confidential6 AI Transformation WhyNow? 1950s 1980s 2000s 20202010s Digital transformation AI transformation • Math, statistics • Expensive computing • Early AI in research • CPU and storage enterprise wide • IoT begins • Big Data (Hadoop) • Rise of GPUs for AI • Efficient storage • Faster compute • IoT miniaturization • Networks everywhere • Data science skills • Public cloud emerges Businesses are ready for an AI transformation Perfect storm ü Open source algorithms & frameworks ü High performance and cost-effective compute & storage ü Advanced data science skills available ü More data than ever before ü AI can solve complex business problems ü Fast on ramp & cloud economics
- 7. Where is ThisHappening?
- 8. Confidential8 H2O.ai is Empowering Companies to BeAI Companies Some of the major Fortune 500 use H2O.ai Top Banks Top insurance companies Top Healthcare companies
- 9. Confidential9 We Partner to Make Your Companyan AI Company We will guide you on your AI journey Your AI Journey Access our expert data scientist, software developers and Kaggle Grandmasters Experts We reference learnings from our customers, community and hundreds of successful use cases and lend our experience to you Empathy We work with your domain experts and data scientists to become AI experts We offer world class technology and support Teach World Class Technology We will work with you on innovative AI and new business models. Your Future
- 10. Confidential10 Saving Lives Supply Chain Optimization DigitalMarketing Insurance Underwriting Fraud Detection Customer ChurnModel BuildingDebt Scoring Propensity to Lease Bad credit detection +700% Marketing Campaign Effectiveness $20M/year Savings +2X Effectiveness in Identification 25% Time Reduction in Planning 10% Increase in Sepsis Detection $10M/month Debit Reduction $1.5M/month Call Center Savings 50% Time Reduction in Model Building 25% Increase Customer Churn Prediction 8% More Accurate Predictions of Bad Credit H2O.ai Helping Customers Win With AI
- 11. Confidential11 Finance • Customer example Cashforecasting for payroll Use case 2 Use Case 3 Use case 4 Broker Performance Prediction Leverage unstructured data to overhaul the broker performance forecasting tools Human Resources AI Enhanced Performance Review Utilize NLP to quantitatively review free form employee performance reviews Attrition Prediction Identify employees likely to leave the firm in order to intervene preemptively Recruiting Optimization Candidate Identification, Outreach and Engagement Identify successful hires, key characteristics, then algorithmically search to identify potential top candidates then optimize recruiting & engagement methodologies through automl
- 12. Confidentia l12 Audit Leverage H2O deepaudit automation experience to optimize audit functions Intelligent Automation Leverage AutoML to deploy sweeping intelligent automation to tackle CFO offices from spending 80% of their time on collection & aggregation of data Pricing Optimization AI augmented pricing for real-time, adaptive, and intelligent pricing optimization FINANCEForecasting for Payroll Leverage unstructured & high dimensional data to improve forecasting Financial Crime Embezzlement & Fraud AI to automate forensic accounting and real time monitoring for anomaly detection
- 13. Confidential13 Finance • Customer example Cashforecasting for payroll Use case 2 Use Case 3 Use case 4 Cloud (EC2) Budget Prediction Leveraging time series & regression capabilities to drive deeper insight into cloud budget IT & Operations Cyber Security & Threat Detection ML has shown significant success in predictive ability for real time monitoring of cyber security threats AI Remediation & Alerts Deploying AI to the IT Ops alert system to effectively prioritize and triage tech issues Web Downtime + Outages Leverage AutoML to drive deeper accuracy into predicting downtime or outages in web applications, pages, and connections to improve business continuity and user experience.
- 14. Confidentia l14 Fiduciary Duty Leverage advancedNLP to determine if advisors are acting in their fiduciary duty to customers or anomalous behavior Transfer Agent Automation Utilize AI to significantly cut down the amount of human time required to oversee transfer agent duties like recordkeeping, communications, tracking, and transfers. Auto-Disclose Leverage real time AI to determine if the necessary reps are reading their necessary legal disclosures with all customers Customer Support Improve Customer Experience Maximize customer experience by leveraging AutoML to find customer call-in paths to automate & streamline Call Center Optimization Leverage AI to identify high value or high risk call center situations and support call center reps
- 15. Taking Your AIJourney. Let’s have a conversation.
- 16. Confidential16 Who is onthe team? Business leader, data scientists, IT professional Determine the problems you want to solve with metrics (time, money, # of customers, etc) Determine where you have data, need data, and can use technology to find answers and predictions. Find answers efficiently. Learn from others in the data science community Ask the Right Questions Data & Technology Community Create a Data Culture Understand and explain the models. Use leading edge technologies to guard for bias, explain a model, and present this to regulators Trust in AI 2 1 3 4 5 5 Key Steps in Your AI Journey
- 17. Confidential17 Machine learning isas much a cultural transformation as a business transformation. Data is a team sport. Understand the processes and culture changes. 1Create a data culture IT Leader Data Scientist Business Leader
- 18. Confidential18 Determine the problemsyou want to solve with metrics. 2Ask the Right Questions Optimize processes? Innovate to create new products? Save time? Increase or reach new customers?
- 19. Confidential19 Learn from othersin the data science community 3Communicate. Community. Share. Learn from others. Participate.
- 20. Confidential20 Build or Buy?OpenSource? Cloud on on-prem? Determine where you have data, need data, and can use technology to find answers and predictions. Find answers efficiently. Data. Data. Data. 4Technology Considerations
- 21. Confidential21 Regulations.Explain. Document. Humans. 5Trust inAI Understand and explain the models. Use leading edge technologies to guard for bias, explain a model, and present this to regulators
- 22. How Should ThisLook? Let’s have a conversation.
- 23. Confidential23 Confidential23 Engagement Cycle d 1.Data Assessment 2.Use Case Workshops With H2O.ai Experts 3.Accelerated Model Development via Driverless AI Get the Free Trial Today! 4. Model Deployment 5. Goal Setting (Revenue Increase or Cost Decrease) Our team rapidly iterates through 5 key steps alongside stakeholders for each use case to focus on tangible, measurable results and turnkey work products
- 24. Confidential24 Confidential24 H2O.ai has10% of the World’s Leading Kaggle Grandmasters Your AI Transformation is Backed by the World Experts
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