Postgres Vision 2018: AI Needs IA
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This document discusses IBM's Cloud Private for Data platform, which provides a fully governed collaborative data platform to help organizations on their journey to AI. It allows users to collect and organize all their data, accelerate machine learning with data, and empower team collaboration. The platform provides data integration, curation, governance, and lifecycle management tools. It also offers databases, data warehousing, analytics visualization, and machine learning capabilities on demand in a cloud-native architecture.
Postgres Vision 2018: AI Needs IA
- 2. Operations BI and Data Warehousing Self-Service Analytics New Business Models INSIGHT-DRIVEN TRANSFORMATION Value MODERNIZATIONCOST REDUCTION The Data Maturity Curve AIMost are here
- 3. There is no AI without an IA ONE Architecture 81%do not yet understand the data required for AI
- 4. ONE Architecture Our beliefs • Containers will revolutionize use of data • Modernize: enterprise out • Automation drives the AI ladder • One Architecture - Cloud native across private & public
- 5. The Ladder to AI Machine Learning Everywhere Scale Your Insights On Demand Build a Trusted Analytics Foundation Make Your Data Simple & Accessible IBM Cloud Private for Data Cloud Agility Lightning Fast AI-ready
- 6. IBM Cloud Private for Data IBM Cloud Private Cloud-native Data Micro Services Instant Provisioning - Dynamic Dashboards Enterprise Data Catalogs Collect Data Organize Data Analyze Data • Data integration • Data curation • Governance, privacy, policies • Data asset lifecycle management • Data visualization & exploration • Machine learning & deep learning • Model management & deployment • Dashboards & business reporting • Databases on-demand • Data warehousing • Fast data ingest • Federated query Business Users & Analysts Data Engineers App Developers Data Scientists Data Stewards Fully Governed Collaborative Data Platform
- 7. A Commitment to Open Source 70% of new workloads will tap open source DBs • Freedom of choice within a unified, fully governed collaborative platform • Modern data architectures fuse with open source, working as one • Federation of ALL data on the ladder to AI within a Cloud-native architecture 3 of top 5 most popular DB are open source including PostgreSQL Sources: Gartner, DB-Engines
- 8. Collect & organize all your data Accelerate your journey to AI with ML Empower team collaboration & productivity Modernize your data workloads Automate policy compliance 8 Key Use Cases
- 9. An Expanding Ecosystem • App Dev - Data In Motion • Analytics Visualizations • Warehouse Disaster Recovery • Data Preparation / Wrangling • Databases • Technology Consulting • Persistent Contain Storage • Storage as a Service
- 10. Our Vision & Roadmap SQL the world Next Gen databases capture ALL data Data as a Utility Virtualize & provision ALL data, instantly DevOps comes to data science Automate on demand, on your terms Pervasive AI Build ML anywhere, run anywhere Multi-Cloud
- 11. Learn More Visit IBM.com/Analytics • Watch demonstration • Schedule complementary 30 minute consultation with an IBM Expert Attend the IBM Breakout Session at Postgres Vision 2018
- 12. A final thought AI will NOT replace managers But managers who use AI WILL replace those who don’t.
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