Automating Machine Learning’s Last Mile™ (MLLM™)
by Managing the ML model development lifecyle at scale requires the orchestration of many activities (e.g. data preparation, feature engineering, model training, validating, and testing, actually …
Category: Machine Learning
Machine Learning Challenges in 2018
What Is Machine-Learning? Machine-learning is a type of artificial intelligence that allows computers to “learn” from real-time and historical data. The surge-pricing models used by …
The New Operating Model for Enterprises
Moving from “data-centric” to “model-centric” — Every two days now we create as much information as we did from the dawn of civilization up until …
Data Science & Analytics (DSA) — The Need for Productivity Tools
by In my last post on Data Science — the new era, I have described how traditional data science is undergoing a change in the Enterprise. In this post, …
Get the “Real” 360⁰ View of Your Customers
Technology has done more than enable your enterprise to understand your customers. Technology has empowered customers and increased their options, individualizing their buying patterns for …
Liberate Your Data Scientist from Management Overload
The proliferation of analytics databases throughout the enterprise has required an increasing level of effort to develop data management practices. Skilled data scientists and analysts …
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 …
How to Harness Your Data for Growth
To truly harness data, organizations need a scalable approach to develop: Cutting edge insight into the drivers of the business Predicative indicators of future performance …