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data

Databases, Infrastructure, and Query Runtime

Recently, my team was tasked with making a switch from a combined MySQL and Cassandra infrastructure to one in which all of this data is stored entirely on a PostgreSQL server. This change was partially due to an increased drive to provide necessary and crucial flexibility to our customers, in tandem with the fact that Cassandra was simply not necessary for this particular application, even with the high quantities of data we were receiving. On its face, the mere need for such a change almost looks backwards given how much movement within the tech industry has been made away from SQL databases and towards NoSQL databases. But, in fact, NoSQL — or even hybrid systems — are not always best. … Read More

Machine Learning In 20 Words Or Less

I’m often told that Machine Learning sounds complicated – but it doesn’t have to be. If I was asked to explain ML in 20 words or less, this is what it would sound like: Understand the problem. Clean up the data. Investigate relationships. Engineer the dataset. Build the

data

Executive guide to assessing your data readiness in 5 steps

Within large companies, data is stored across many systems. If we specifically look at companies with large operations infrastructure, there are many different types of data they have to work with — sensors, inventory, maintenance, financials, and more. In order

5 ways for business leaders to package AI into bite-sized pieces

Large companies have been tackling the issue of AI for the last few years. Business leaders are often faced with the problem of figuring out how to use this technology in a practical way. Any new technology needs to be

Building vs Buying AI Platforms: 6 Tradeoffs To Consider

Companies that produce physical goods and services have been around for a long time. These companies drive our economy. If you’re one such company, your core goal is to get your customers to love your primary offering. Your aim is

7 roles your company needs to make AI initiatives successful

Modern companies have complex infrastructure with large operational teams. They tend to generate a lot of data across different functional areas of a business. Having this data gives them an advantage that can help drive operational efficiency and directly impact

manufacturing

5 ways in which modern teams manage their operations infrastructure

Companies that produce physical goods have expansive operations infrastructure. This infrastructure is well instrumented, which means they are collecting data continuously. But it is the operations teams’ responsibility to make sure they monitor everything. How do they make sure that

insights

4 key learnings from working with companies that drive our economy

At Plutoshift, we work closely with companies that drive our economy such as manufacturers, service providers, warehouse operators, distributors, and logistics providers. As we approach the tail end of 2020, we wanted to know — How are companies managing their

Why COVID-19 is the imperative that will bring AI to industry

When COVID-19 first began its community spread in the US in March, we saw a very mixed reaction from industry at large. In some places, business continued as usual, often resulting in crippling COVID-19 outbreaks. Others completely shut down, causing

AI Change Management Success: Pre and Post COVID-19

Featuring: Debbie Rothe, Senior Leader for the Environmental Analytical Global Capability within the Environmental Technology Center at Dow and Prateek Joshi, Founder & CEO of Plutoshift See article here: Plutoshift_DebbieRotheArticle

The Stream Podcast

Prateek Joshi, Founder and CEO of Plutoshift joins Will Sarni and Tom Freyberg on The Stream to talk all things Artificial Intelligence (AI)

sustainability

Business Water: The Value of Artificial Intelligence in Achieving Sustainable and Resilient Corporate Water Strategies

By: Will Sarni, Founder and CEO, Water Foundry and Prateek Joshi, Founder and CEO, Plutoshift Introduction: Access to water is one of the greatest challenges to business continuity and growth. A key component of this challenge is the effective operational management of

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