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Big Data LDN
Big Data LDN 2019 | Modernise Your IT Infrastructure for AI | Brian Carpenter
In this session, learn about the latest best practices for designing end-to-end AI platforms for your data science teams. You can seamlessly fit AI projects into a unified analytics plan with the right infrastructure built for scaling. Brian Carpenter will map out how Pure Storage can support your overall AI strategy by walking through an example AI data hub microservices deployment.
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it infrastructure for ai
ai data hub
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What's inside
Syllabus
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Read about what's good
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possible dealbreakers
Develops and explores Big Data LDN's end-to-end AI platform, which is standard in the Data science industry
Teaches how to seamlessly integrate AI projects into a unified analytics plan with the right infrastructure for scaling
Taught by Big Data LDN, who are recognized for their work in Data science and AI platforms
Examines best practices for designing end-to-end AI platforms, which is highly relevant in the Data science field
Offers a comprehensive study of AI platforms and infrastructure for Data science teams
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Modernise Your IT Infrastructure for AI.
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Career center
Learners who complete Modernise Your IT Infrastructure for AI will develop knowledge and skills
that may be useful to these careers:
VP of Engineering
VP of Engineering
VPs of Engineering are responsible for the engineering strategy and operations of an organization. This course from Big Data LDN 2019 may be useful for VPs of Engineering because it can help them build a foundation in modernizing IT infrastructure for AI.
IT Manager
IT Manager
IT Managers manage IT departments. This course from Big Data LDN 2019 may be useful for IT Managers because it can help them build a foundation in modernizing IT infrastructure for AI.
CIO
CIO
CIOs are responsible for the IT strategy and operations of an organization. This course from Big Data LDN 2019 may be useful for CIOs because it can help them build a foundation in modernizing IT infrastructure for AI.
CTO
CTO
CTOs are responsible for the technology strategy and operations of an organization. This course from Big Data LDN 2019 may be useful for CTOs because it can help them build a foundation in modernizing IT infrastructure for AI.
AI Engineer
AI Engineer
AI Engineers design and implement AI systems. This course from Big Data LDN 2019 may be useful for AI Engineers because it can help them build a foundation in modernizing IT infrastructure for AI.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers design and implement machine learning systems. This course from Big Data LDN 2019 may be useful for Machine Learning Engineers because it can help them build a foundation in modernizing IT infrastructure for AI.
Systems Engineer
Systems Engineer
Systems Engineers design and implement IT systems. This course from Big Data LDN 2019 may be useful for Systems Engineers because it can help them build a foundation in modernizing IT infrastructure for AI.
Software Engineer
Software Engineer
Software Engineers design and implement software systems. This course from Big Data LDN 2019 may be useful for Software Engineers because it can help them build a foundation in modernizing IT infrastructure for AI.
Database Administrator
Database Administrator
Database Administrators maintain and manage databases. This course from Big Data LDN 2019 may be useful for Database Administrators because it can help them build a foundation in modernizing IT infrastructure for AI.
Network Administrator
Network Administrator
Network Administrators maintain and manage networks. This course from Big Data LDN 2019 may be useful for Network Administrators because it can help them build a foundation in modernizing IT infrastructure for AI.
Cloud Engineer
Cloud Engineer
Cloud Engineers design and implement cloud systems. This course from Big Data LDN 2019 may be useful for Cloud Engineers because it can help them build a foundation in modernizing IT infrastructure for AI.
Data Architect
Data Architect
Data Architects design and implement data systems. This course from Big Data LDN 2019 may be useful for Data Architects because it can help them build a foundation in modernizing IT infrastructure for AI.
Data Analyst
Data Analyst
Data Analysts use IT infrastructure to store and process large amounts of data. This course from Big Data LDN 2019 may be useful for Data Analysts because it can help them build a foundation in modernizing IT infrastructure for AI.
Business Analyst
Business Analyst
Business Analysts use data to make business decisions. This course from Big Data LDN 2019 may be useful for Business Analysts because it can help them build a foundation in modernizing IT infrastructure for AI.
Data Scientist
Data Scientist
Data Scientists use IT infrastructure to store and process large amounts of data. This course from Big Data LDN 2019 may be useful for Data Scientists because it can help them build a foundation in modernizing IT infrastructure for AI.
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OpenCourser.com/course/db39vo/modernise
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Time
18 hours
Level
Intermediate
Via
Pluralsight
Instructor
Big Data LDN
Language
English
This course belongs to a
collection
called
Big Data LDN 2019 . It's comprised of 101 courses:
- The Database Is Only Half Done
- Your AI Is Wrong! Lessons from Decision-making with Imperfect AI
- Multiparadigm Data Science: The Next Frontier in Decision Making
- Achieving 100% Adoption of Analytics in the Enterprise
- Data Skills: How Mondi Does Digital
- Building a Modern Data Architecture for the Data Driven Enterprise
- Harnessing the Power of Data to Improve Public Health
- Real-time Data Analytics at Scale Using Cloud Services
- Quick and Easy Access to Data through a Logical Data Warehouse Environment
- The Promise of Data Mastering at Scale
- Research vs. Reality in AI: Would You Trust Your Model with Your Life?
- Modernise Your IT Infrastructure for AI (viewing)
- Scaling Machine Learning at Holiday Extras
- Why Do Some Machine Learning Models Fail?
- AI: Lessons Learned from the Front Line
- Machine Learning in Real-time: Predicting Taxi Fare in NYC
- How AI and Automated Machine Learning Will Disrupt the Organisational Alignment of Businesses
- Multi-model Powered Machine Learning
- ML in Production: Serverless and Painless
- Leveraging Data Virtualization to Maximize Advanced Analytics and Machine Learning Potential in Your Data Architecture
- Bring the Power of Watson to AWS and Azure: Watson Anywhere Powered by Cloud Pak for Data
- Modern Data Warehousing at Scale Using Azure Data Factory
- Balancing Performance, Scalability, and High Availability in Your Database Environment
- Enabling Microservices for Big Data On-demand in the Cloud
- From ETL to ELT: Building a Scalable Data Stack with SQL
- Data, Governance, and Freedom
- How to Get the Technology Stack Right for Your Business
- Data Modelling with Apache Cassandra
- How to Orchestrate Your ML Pipelines in Hybrid Cloud
- Full Stack Metadata Driven Thinking to Drive Business Agility
- Enhance Developer Experience Using OpenShift on Azure
- Fast Data for Faster Business
- Driving Faster, Smarter Actions on IoT Data with New Real-time Analytics Capabilities
- Introduction to Adept and How Big Data and Analytics Is Transforming the Connected Car Ecosystem
- Bridge to Cloud
- How to Train Your AI Models at Scale
- 99% of Your IoT Data Is Worthless, but Which 99%?
- Data Engineering in MagicLab: The Birth and Life of an Event
- RNA - Event Stream Processing Made Simple
- When Data Leads, Transformation Follows - A Look at Qlik's Data Integration Portfolio
- Saving Energy in Homes with a Unified Approach to Data and AI
- Building Stream Processing Applications with Apache Kafka Using KSQL
- Real-world, Real-time Digital Transformation
- Machine Data in Industry 4.0: How to Handle It Better
- Why CockroachDB in the Kindred Platform?
- The Hardest Part of AI & Analytics Is Not AI, It Is Data Management
- Effective Cloud Migration Strategies for Your Modern Data Applications
- Snowflake? Why Should I Care?
- The Future of Business Intelligence Isn't a Tool
- AI-driven Retail for the 21st Century
- The Next Generation of Data Architecture
- Modern Enterprise Data Engineering
- Taking Control of User Analytics with Snowplow
- Flex Your Data(Ops) Muscles
- You Love Big Data, so Does R
- Building Predictive Maintenance Solutions
- Quickly, Codelessly Connect Any Application to Any REST API
- Rethinking Data Warehouse Modernization in the Age of Hybrid Cloud/On-premise Data Warehouses
- From Waterfall to Agile – A Data Warehouse Modernisation Story
- Freeing up Engineering and Infrastructure Resources to Scale with DataOps
- Unit Testing with pytest
- Credit Card Fraud – Why the Database Matters
- Data Science at SEGA
- British Telecom: Data-driven Digital Transformation
- Using Cloud Solution Platforms to Drive Business Value and Cost Optimization
- Data Analytics & IoT Innovations at Bosch
- Converting the CDO to a Profit Centre
- Why Self-service Data Analytics Usually Fails & Ideas for Succeeding
- Governed Data Discovery
- Journey to Create a Great Analytic Culture
- Something Amazing for Everyone: Embracing Inclusive Design to Deliver Accessible Experiences
- Democratising Data – How We Built a Self-serve Data Platform
- Discover the “Why” You Didn't Know Existed
- Selecting Your Fantasy Premier League Team with Advanced Analytics
- Decouple Storage from Compute
- Data Skills: Building a Data Team Fit for a Data-driven Enterprise
- Consent, Compliance, and the Impact on Customer Experience
- AI & Communication: Meaningful Data from New Sources
- Real-time Personalised Customer Interaction at Scale
- Data: The Musical, with LW Theatres
- Self-service and Tableau Community at Lloyds Banking Group
- The Digital Hero’s Journey: Using Big Data to Uncover Business Value and Meaning at Work
- Using Location Intelligence to Place Solar Panels in Rwanda
- Embedding Intelligence into the Heart of Customer Operations
- The Art of Customer Conversations
- How to Build a Fully Autonomous Card Fraud Detection System
- At Last! The Real-time Customer Experience
- Data Privacy Mythbusting
- Demystifying Data – What They Don’t Tell You at Data School
- Optimizing Your Data Value Chain with Agile Data Management
- Data at SEGA Europe
- Keep Your Data Lake from Getting Hadooped
- Top 10 Privacy Tips & Tricks in Big Data
- Data Governance as a Customer Service
- 7 AI Quick Win Projects
- Delivering Value with Intelligent Data Governance
- The Culture Competition – Personalisation vs. Privacy
- DataOps for AI and Digital Transformation
- Big Data LDN: A GDPR Retrospective
- GDPR: A Sword Not a Shield
- Drive Business Growth While Satisfying GDPR and CCPA
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