Blog Posts for "MLOps"

January 11, 2024

Machine Learning Models for Data Product Development: A Complete Guide

Machine Learning (ML) has undergone landmark development over the past decade by becoming a vital component of Artificial Intelligence (AI). While ML and AI are closely related and often used interchangeably, they are not synonymous. Machine learning is a subfield of AI that aims at enabling machines to learn from data and make predictions or […]

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November 3, 2022

MLOps – The CEO’s Guide to Productionization of Data [Part 2]

With data being touted as the oil for digital transformation in the 21st century, organizations are increasingly looking to extract insights from their data by building and deploying their custom-built ML models. In our previous article (MLOps – The CEO’s Guide to Productionization of Data, Part 1), we learned why and how embedding ML models […]

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November 1, 2022

MLOps – The CEO’s Guide to Productionization of Data [Part 1]

MLOps (or Machine Learning Operations) is a core function of Machine Learning engineering, that focuses on streamlining the process of taking ML models to production, and maintaining and monitoring them.  But before we get into more details about MLOps, it’s important to understand what operationalization of machine learning is, why it’s important, and how it […]

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October 11, 2022

How Postmodern Data Stack helps Fintech companies make faster decisions

The Fintech market is valued at $110.57 billion in 2020 and will reach $698.48 billion by 2030. It is one of the fastest-growing industries with a CAGR of 20.3%. Fintech companies faced a surge in demand as customer practices and banking habits changed during the COVID-19 era. The industry overall saw an increase in user […]

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September 16, 2022

What is the postmodern data stack?

The adoption of artificial intelligence and machine learning has paved the way for drastic changes in data-driven enterprises. To optimize business operations, several companies started embracing what came to be known as the modern data stack. Although this approach benefits big tech companies in making superior business decisions, a majority of companies (which operate at […]

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August 3, 2022

Growing Data Infrastructure Complexities

The world of data, and data infrastructure, has changed dramatically over the past decade. Traditional databases, which were designed to store information in a structured format, have evolved into massive warehouses of unstructured data that sit on multiple servers across different locations. Not too long ago, we were used to seeing monolithic systems dominated by […]

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June 15, 2022

Scribble Data at TMLS MLOps World Summit 2022

It’s an exciting time for the MLOps ecosystem, and there’s no better place to be than in Toronto! The MLOps World Summit 2022 happened last week in Toronto and truly lived up to its promise of being the ultimate ML Operations & strategy conference & Expo. It saw a number of MLOps companies and practitioners, including our […]

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June 1, 2022

What is the modern data stack?

The success of a modern business, ranging from small and medium-sized enterprises to Fortune 500 conglomerates, is now increasingly tied to how firms implement their data infrastructure. We’ve all heard the trope – “data is the new oil” of the digital economy (source). One thing is clear: information is power, and data analytics can be utilized […]

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