Datatron Blog

Stay Current with AI/ML

sales funnel

Automating and Streamlining the Sales Lead Funnel

Did you know 40% of your sales team time is spent on bad leads?

What typically happens is they often divert or deviate from their ideal productivity zone and this happens for many reasons. Because today there is no data-driven way to course-correct their path in real-time. Some companies do this by employing a dedicated team of data scientist/business analysts.

Datatron has automated this process and is available for a fraction of the cost.

For example, we have a case study from a customer based here in San Francisco.

Prior to Datatron their sales reps were all over the place, they didn’t have answers to what leads to focus on they didn’t have answers to what leads will likely go dead.

They gave equal priority to every lead that comes into the funnel. So, the amount of time spent on a dead lead was more than the time they spent on a quality lead.

Early results show 10% increase in revenue.

Here at Datatron, we offer a platform to govern and manage all of your Machine Learning, Artificial Intelligence, and Data Science Models in Production. Additionally, we help you automate, optimize, and accelerate your ML models to ensure they are running smoothly and efficiently in production — To learn more about our services be sure to Request a Demo.

whitepaper

Success Story: Global Bank Monitors 1,000’s of Models On Datatron

A top global bank was looking for an AI Governance platform and discovered so much more. With Datatron, executives can now easily monitor the “Health” of thousands of models, data scientists decreased the time required to identify issues with models and uncover the root cause by 65%, and each BU decreased their audit reporting time by 65%.

Get Whitepaper

whitepaper

Success Story: Domino’s 10x Model Deployment Velocity

Domino’s was looking for an AI Governance platform and discovered so much more. With Datatron, Domino’s accelerated model deployment 10x, and achieved 80% more risk-free model deployments, all while giving executives a global view of models and helping them to understand the KPI metrics achieved to increase ROI.

Get Whitepaper

whitepaper

5 Reasons Your AI/ML Models are Stuck in the Lab

AI/ML Executive need more ROI from AI/ML? Data Scientist want to get more models into production? ML DevOps Engineer/IT want an easier way to manage multiple models. Learn how enterprises with mature AI/ML programs overcome obstacles to operationalize more models with greater ease and less manpower.

Get Whitepaper

whitepaper

Life Cycle of Machine Learning Models

Production-grade machine-learning models require strong deployment framework in order to reduce the time it takes to iterate a model faster, deploy new features quickly, and train on incoming data faster.

Get Whitepaper

whitepaper

Unique Challenges Of Machine Learning Models In Production

Production-grade machine-learning models require strong deployment framework in order to reduce the time it takes to iterate a model faster, deploy new features quickly, and train on incoming data faster.

Get Whitepaper

whitepaper

Model Deployment

Production-grade machine-learning models require strong deployment framework in order to reduce the time it takes to iterate a model faster, deploy new features quickly, and train on incoming data faster.

Get Whitepaper

Our Latest Content

Self-Guided In-Product Tour (7 Mini-Videos)

00 Days
:
00 Hours
:
00 Mins
:
00 Secs

Experience “The Datatron” product for yourself in this self-guided series of seven, concise, mini-videos that highlight key features, like the “Model Catalog,” and “Health Dashboard,” as well as Use Cases for Data Scientists (Part III), ML Engineers/DevOps (Part IV), and AI Executives & BU/LOB leaders (Part VII). Enjoy! And, when you are ready, Book a Demo

Watch the Product Videos!