Our Platform and SaaS applications are specifically tailored to meet the pricing, sales and commercial needs of B2B manufacturing, distribution, and services companies.
We take the time to understand each customer’s unique needs, problems, pain points, and desired outcomes while applying more than 20 years of pricing and sales expertise specific to B2B industries.
Learn more about how Zilliant is helping companies power intelligent commerce and deliver profitable growth. Explore this collection of trends, case studies, in-depth analyses, strategies and tactics to address your most important pricing and sales challenges.
Zilliant helps our customers power intelligent commerce by connecting commercial strategies with effective execution through cloud-native pricing and sales software.
Enabling customer success is our top priority. Learn how we deliver measurable benefit and drive long-term success.
Read Lee Rehwinkel’s opinion on why “ML Ops” is the last mile of machine learning in this Tech Target article.
AI adoption is accelerating across industries, driven by a combination of concrete results, high expectations and a lot of money. Among the many new AI concepts and techniques launching almost daily, 10 AI tech trends in particular grab data scientists’ attention.
Machine learning operations (MLOps) isn’t a new concept, but it’s a relatively new “Ops” practice which operationalizes machine learning models. MLOps seeks to understand what works and doesn’t work in a model in order to create more reliable models in the future.
It’s the last mile of machine learning model building, and a practice that historically hasn’t been given much attention, said Lee Rehwinkel, VP of science at B2B pricing and sales software company Zilliant.
“It’s one of the reasons a lot of models never see the light of day, but it’s super important [because] you build a model but how do you know the uptime of that model? How fast is it going to make predictions? Does it need to be trained or retrained?” he said.