aster.cloud aster.cloud
  • /
  • Platforms
    • Public Cloud
    • On-Premise
    • Hybrid Cloud
    • Data
  • Architecture
    • Design
    • Solutions
    • Enterprise
  • Engineering
    • Automation
    • Software Engineering
    • Project Management
    • DevOps
  • Programming
    • Learning
  • Tools
  • About
  • /
  • Platforms
    • Public Cloud
    • On-Premise
    • Hybrid Cloud
    • Data
  • Architecture
    • Design
    • Solutions
    • Enterprise
  • Engineering
    • Automation
    • Software Engineering
    • Project Management
    • DevOps
  • Programming
    • Learning
  • Tools
  • About
aster.cloud aster.cloud
  • /
  • Platforms
    • Public Cloud
    • On-Premise
    • Hybrid Cloud
    • Data
  • Architecture
    • Design
    • Solutions
    • Enterprise
  • Engineering
    • Automation
    • Software Engineering
    • Project Management
    • DevOps
  • Programming
    • Learning
  • Tools
  • About
  • Engineering

Measure And Maximize The Value Of Data Science And AI Teams

  • aster.cloud
  • February 17, 2022
  • 4 minute read

Investing in Artificial Intelligence (AI) can bring a competitive advantage to your organization. If you’re in charge of an AI or Data Science team, you’ll want to measure and maximize the value that you’re providing. Here is some advice from our years of experience in the field.

A checklist to embark on a project:

As you embark on projects we’ve found it’s good to have the following areas covered:


Partner with aster.cloud
for your next big idea.
Let us know here.



From our partners:

CITI.IO :: Business. Institutions. Society. Global Political Economy.
CYBERPOGO.COM :: For the Arts, Sciences, and Technology.
DADAHACKS.COM :: Parenting For The Rest Of Us.
ZEDISTA.COM :: Entertainment. Sports. Culture. Escape.
TAKUMAKU.COM :: For The Hearth And Home.
ASTER.CLOUD :: From The Cloud And Beyond.
LIWAIWAI.COM :: Intelligence, Inside and Outside.
GLOBALCLOUDPLATFORMS.COM :: For The World's Computing Needs.
FIREGULAMAN.COM :: For The Fire In The Belly Of The Coder.
ASTERCASTER.COM :: Supra Astra. Beyond The Stars.
BARTDAY.COM :: Prosperity For Everyone.

  • Have a customer. It’s important to have a customer for your work, and that they  agree with what you’re trying to achieve. Be sure to know what value you’re delivering to them.
  • Have a business case.  This will rely on estimates and assumptions, and may take no more than a few minute’s work.  You should revise this, but always know what justifies your team’s effort, and what you (and your customer) expect to get in return.
  • Know what process you will change or create. You’ll want to put your work in production, so you have to be clear about what business operations are changing or created around your work and who needs to be involved to make it happen
  • Have a measurement plan. You’ll want to show that ongoing work is impacting some relevant business indicator. Measure and show incremental value. The goal of these measurements is to establish what has changed because of your project that would otherwise not have changed. Be sure to account for other factors like seasonality or other business changes that may affect your measurements.
  • Use all the above to get your organization’s support for your team and your work.
Read More  MLOps In BigQuery ML With Vertex AI Model Registry

What measures to use?

As you start the work, what measures and indicators can you use to show that your team’s work is useful for your organization?

How many decisions you make. A major function of ML is to automate and optimize decisions: which product to recommend, which route to follow, etc. Use logs to track how many decisions your systems are making.

Changes to revenue or costs. Better and quicker decisions often lead to increased revenue or savings. If possible, measure it directly, otherwise estimate it (for example fuel costs saved from less distance traveled, or increased purchases from personalized offers).

As an example, the Illinois Department of Employment Security is using Contact Center AI to rapidly deploy virtual agents to help more than 1 million citizens file unemployment claims. To measure success the team tracked the two outcomes:  (1) the number of web inquiries and voice calls they were able to handle, and (2) the overall cost of the call center after the implementation. Post implementation, they were able to observe more than 140,000 phone and web inquiries per day and over 40,000 after-hours calls per night. They  also anticipate an estimated annual cost savings of $100M based on an initial analysis of IDES’s virtual agent data (see more in the link to case study).

Implementation costs. The other side of increased revenue or savings, is to put your achievements in the context of how much they cost. Show the technology costs that your team incurs and, ideally, how you can deliver more value, more efficiently.

Read More  Simplify Data Processing And Data Science Jobs With Serverless Spark, Now Available On Google Cloud

How much time was saved.  If the team built a routing system then it saved travel time, if it built an email classifier then it saved reading time, etc. Quantify how many hours were given back to the organization thanks to the efficiency of your system.

In the medical field, quicker diagnostics matter. Johns Hopkins University’s Brain Injury Outcomes (BIOS) Division has focused on studying brain hemorrhage aiming to improve medical outcomes. The team identified the time to insights as a key metric in measuring business success. They experimented with a range of cloud computing solutions like Dataflow, Cloud Healthcare API, Compute Engine, and AI Platform for distributed training to accelerate iterations. As a result, in their recent work they were able to accelerate insights from scans from approximately 500 patients from 2,500 hours to 90 minutes.

How many applications your team supports. Some of your organization’s operations don’t use ML (say reconciling financial ledgers) but others do. Know how many parts of your organization benefit from the optimization and automation your team builds.

User experience. You may be able to measure your customer’s experience: fewer complaints, better reviews, reduced latency, more interactions, etc. This is valid both for internal and external stakeholders. At Google we measure usage and regularly ask for feedback on any internal system or process.

One of our customers, The City of Memphis, is using VisionAI and ML to tackle a common but very challenging issue: identifying and addressing potholes.  The implementation team identified the percentage increase of potholes identified as one of the key metrics along with accuracy and cost savings. The solution captures video footage from it’s public vehicles and leverages Google Cloud capabilities like Compute Engine, AI Platform, and BigQuery to automate the review of videos.  The project increased  pothole detection by 75% with over 90% accuracy. By measuring and demonstrating these outcomes, the team proved the viability of a cost-effective, cloud-based machine learning model and is looking into new applications of AI and ML that will further improve city services and help it build a better future for its 652,000 residents.

Read More  Network & Application Security In Google Cloud

Acknowledgements

Filipe and Payam would like to thank our colleague and co-author Mona Mona (AI/ML Customer Engineer, Healthcare and lifesciences) who contributed equally to the writing.

 

 

By: Filipe Gracio PhD (AI ML Customer Engineer) and Payam Mousavi (AI ML Customer Engineer)
Source: Google Cloud Blog


For enquiries, product placements, sponsorships, and collaborations, connect with us at [email protected]. We'd love to hear from you!

Our humans need coffee too! Your support is highly appreciated, thank you!

aster.cloud

Related Topics
  • Artificial Intelligence
  • Data Science
  • Google Cloud
  • Machine Learning
You May Also Like
View Post
  • Engineering

Just make it scale: An Aurora DSQL story

  • May 29, 2025
View Post
  • Engineering
  • Technology

Guide: Our top four AI Hypercomputer use cases, reference architectures and tutorials

  • March 9, 2025
View Post
  • Computing
  • Engineering

Why a decades old architecture decision is impeding the power of AI computing

  • February 19, 2025
View Post
  • Engineering
  • Software Engineering

This Month in Julia World

  • January 17, 2025
View Post
  • Engineering
  • Software Engineering

Google Summer of Code 2025 is here!

  • January 17, 2025
View Post
  • Data
  • Engineering

Hiding in Plain Site: Attackers Sneaking Malware into Images on Websites

  • January 16, 2025
View Post
  • Computing
  • Design
  • Engineering
  • Technology

Here’s why it’s important to build long-term cryptographic resilience

  • December 24, 2024
IBM and Ferrari Premium Partner
View Post
  • Data
  • Engineering

IBM Selected as Official Fan Engagement and Data Analytics Partner for Scuderia Ferrari HP

  • November 7, 2024

Stay Connected!
LATEST
  • 1
    Just make it scale: An Aurora DSQL story
    • May 29, 2025
  • 2
    Reliance on US tech providers is making IT leaders skittish
    • May 28, 2025
  • Examine the 4 types of edge computing, with examples
    • May 28, 2025
  • AI and private cloud: 2 lessons from Dell Tech World 2025
    • May 28, 2025
  • 5
    TD Synnex named as UK distributor for Cohesity
    • May 28, 2025
  • Weigh these 6 enterprise advantages of storage as a service
    • May 28, 2025
  • 7
    Broadcom’s ‘harsh’ VMware contracts are costing customers up to 1,500% more
    • May 28, 2025
  • 8
    Pulsant targets partner diversity with new IaaS solution
    • May 23, 2025
  • 9
    Growing AI workloads are causing hybrid cloud headaches
    • May 23, 2025
  • Gemma 3n 10
    Announcing Gemma 3n preview: powerful, efficient, mobile-first AI
    • May 22, 2025
about
Hello World!

We are aster.cloud. We’re created by programmers for programmers.

Our site aims to provide guides, programming tips, reviews, and interesting materials for tech people and those who want to learn in general.

We would like to hear from you.

If you have any feedback, enquiries, or sponsorship request, kindly reach out to us at:

[email protected]
Most Popular
  • Understand how Windows Server 2025 PAYG licensing works
    • May 20, 2025
  • By the numbers: How upskilling fills the IT skills gap
    • May 21, 2025
  • 3
    Cloud adoption isn’t all it’s cut out to be as enterprises report growing dissatisfaction
    • May 15, 2025
  • 4
    Hybrid cloud is complicated – Red Hat’s new AI assistant wants to solve that
    • May 20, 2025
  • 5
    Google is getting serious on cloud sovereignty
    • May 22, 2025
  • /
  • Technology
  • Tools
  • About
  • Contact Us

Input your search keywords and press Enter.