Alluxio Monthly Webinar Jan. 30, 2024 For more Alluxio Events: https://www.alluxio.io/events/ Speaker: - Kevin Petrie (VP of Research, Eckerson Group) - Omid Razavi (SVP of Customer Success, Alluxio) 2024 is gearing up to be an impactful year for AI and analytics. Join us on January 30, as Kevin Petrie (VP of Research at Eckerson Group) and Omid Razavi (SVP of Customer Success at Alluxio) share key trends that data and AI leaders should know. This event will efficiently guide you with market data and expert insights to drive successful business outcomes. - Assess current and future trends in data and AI with industry experts - Discover valuable insights and practical recommendations - Learn best practices to make your enterprise data more accessible for both analytics and AI applications

1. © Eckerson Group 2021 Twitter: @eckersongroup www.eckerson.com
Kevin Petrie
VP Research
Five Disruptive Trends that Every
Data & AI Leader Should Understand
January 30, 2024
Omid Razavi
SVP Customer Success

2. © Eckerson Group 2021 Twitter: @eckersongroup www.eckerson.com
Today’s Speakers
25+ years in tech
Teach early adopters about AI,
data, and analytics
Servant leader, writer, editor,
listener, and speaker
linkedin.com/in/kevinpetrietech/

3. © Eckerson Group 2021 Twitter: @eckersongroup www.eckerson.com
Disruptive Data & AI Trends of 2024
Data, AI, and IT leaders must optimize hardware, software, and dollars
to meet modern business requirements
APPLICATIONS &
WORKFLOWS
DATA PIPELINES
DATA STORES
INFRASTRUCTURE
COST
GOVERNANCE
AI/ML matures from project to must-have feature
Pipelines transform & deliver new data to new models
Distributed datasets conflict with latency requirements
GPU scarcity drives need for higher utilization
FinOps programs help govern cloud-related costs

4. © Eckerson Group 2021 Twitter: @eckersongroup www.eckerson.com
GPU Scarcity Drives Need for Higher Utilization
Data, AI, and IT leaders must maximize GPU cycles during runtime and minimize the rest
APPLICATIONS &
WORKFLOWS
DATA PIPELINES
DATA STORES
INFRASTRUCTURE
COST
GOVERNANCE • Optimize software algorithms with efficient
design and deployment
• Implement dynamic scaling to consume
GPUs only as needed
• Adopt cloud-based GPUs to avoid idle
onsite systems

5. © Eckerson Group 2021 Twitter: @eckersongroup www.eckerson.com
Distributed Datasets Conflict with Latency Requirements
Data, AI, and IT leaders must synchronize compute and storage resources
APPLICATIONS &
WORKFLOWS
DATA PIPELINES
DATA STORES
INFRASTRUCTURE
COST
GOVERNANCE • Modern analytics use cases require
real-time processing
• Hybrid and multi-cloud environments
cannot meet these SLAs
• Distributed caching, unified namespace,
and metadata can accelerate workloads

6. © Eckerson Group 2021 Twitter: @eckersongroup www.eckerson.com
Pipelines Transform and Deliver New Data to New Models
Data, AI, and IT leaders must adapt their environments
to support new data types and analytics use cases
APPLICATIONS &
WORKFLOWS
DATA PIPELINES
DATA STORES
INFRASTRUCTURE
COST
GOVERNANCE • New AI/ML models require new datasets and
preparation methods
• Design scalable, flexible data pipelines
• Foster agile data practices and team
collaboration

7. © Eckerson Group 2021 Twitter: @eckersongroup www.eckerson.com
AI/ML Matures from Project to Must-Have Feature
Data, AI, and IT leaders must synchronize diverse elements of their environments
APPLICATIONS &
WORKFLOWS
DATA PIPELINES
DATA STORES
INFRASTRUCTURE
COST
GOVERNANCE
• GenAI language models, predictive ML
become part of multi-faceted applications
• Derive insights and take actions based on
diverse inputs, models, and outputs
• This requires careful design and
orchestration of pipelines, models &
applications

8. © Eckerson Group 2021 Twitter: @eckersongroup www.eckerson.com
FinOps Programs Help Govern Cloud-Related Costs
Data, AI, and IT leaders must adapt their people, process, and technologies
to reduce the risk and variability of cloud-related costs
APPLICATIONS &
WORKFLOWS
DATA PIPELINES
DATA STORES
INFRASTRUCTURE
COST
GOVERNANCE
• Dynamic workloads and complex
environments lead to cost surprises
• FinOps helps forecast, measure, and
account for cloud resource consumption
• Instils best practices & automates
processes (resource monitoring,
chargeback, etc.)

9. © Eckerson Group 2021 Twitter: @eckersongroup www.eckerson.com
Guiding Principles for 2024
Master these five trends and play each to your advantage
AI/ML matures from project to must-have feature
Pipelines transform & deliver new data to new models
Distributed datasets conflict with latency requirements
GPU scarcity drives need for higher utilization
FinOps programs help govern cloud-related costs
Artificial intelligence creates new
opportunities but compounds risks
AI/ML initiatives depend on effective
data processing and delivery

10. © Eckerson Group 2021 Twitter: @eckersongroup www.eckerson.com
Questions?
I’m listening!