Blog | Prolego

AGI

Should Your Company Create Its Own LLM?

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AGI

(Part 2) Unleashing the Power of SmartGPT: Implications for Your Language Model Strategy

In Part 2 of our SmartGPT series we share implications of SmartGPT on your LLM strategy.

AGI

Accelerate Enterprise GPT-4 Applications with LlamaIndex

A brand new enterprise technology stack is emerging to support Enterprise AGI, and today, I'd like to introduce you to an early player in this stack called LlamaIndex.

Reports

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Videos

Video: AI for Insurance

In this video, we present several use cases for AI in the insurance industry. These use cases are based on our client experience supporting the AI transformation efforts at several Fortune 500 insurance companies.

Strategy

New chief data scientist: The first 90 days

Congrats on your new job! Russ and I have helped a number of chief data scientists land positions at Fortune 1000 companies. We’ve also watched many struggle in their new roles and depart after an unexpectedly short tenure. Here are a few suggestions to get you started on the path to success.

Strategy

Part 1: A Strong Opinion on AI Organizational Transformation

Within the next five years, every large enterprise will begin an AI transformation. After helping dozens of Fortune 1000 companies to modernize for AI, I have seen stark differences between those that succeed and those that fail. In this blog post I describe the three common AI transformation patter

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Data Science

How generative AI will revolutionize digital marketing

Talent

Handling Out-of-Distribution Data with Transformers

In Prolego Labs, we set out to develop an NLP model that would be robust to out-of-distribution data. Drawing on extensive research in the computer vision field, we trained a transformer that intrinsically predicts out-of-distribution data. It also performs well at our multilabel classification task

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MLOps

Why you need MLOps

Every enterprise IT organization struggles to deploy and support machine learning (ML) models in production. After a few high-profile failures, they recognize that to realize business value from their AI investments, they need a different infrastructure and processes. They need MLOps.

MLOps

The most dangerous antipattern in MLOps: The model is “just a binary”

The most dangerous antipattern in MLOps: The model is “just a binary”For him, AI is the ultimate innovation challenge facing companies today. He co-founded Prolego because he believes AI innovation is different.

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Talent

12 Reasons Why You’re Losing Data Scientists

Most Fortune 1000 companies are having hard time attracting and retaining data scientists. In this post I’ll describe many of the most common problems.

Talent

Don’t force your data scientists up the management ladder

As part of the release of our Winning the War for Data Science Talent report, we're digging into the tactics of building a world-class data science team. In this week's TechTalk, Kevin Dewalt and Alex Cunliffe discuss creating a non-management career path for your data scientists.

Talent

You need an AI transformation manager, NOT an AI product manager

As the business landscape slopes up toward AI Abundance, we need an additional specialized role to address the unique challenges of AI transformation. In this post we introduce you to the AI Transformation Manager (ATM).

Your Journey Starts Here

Don't waste months of your time wandering down the wrong path! We're happy to help you on a 30-minute call.

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Should Your Company Create Its Own LLM?

LATEST

(Part 2) Unleashing the Power of SmartGPT: Implications for Your Language Model Strategy

Accelerate Enterprise GPT-4 Applications with LlamaIndex

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Stop Looking for the Unicorn AI Product Manager

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New chief data scientist: The first 90 days

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How generative AI will revolutionize digital marketing

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The Era of Enterprise Artificial General Intelligence Has Begun

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Reports

Strategy

Video: AI for Insurance

New chief data scientist: The first 90 days

Part 1: A Strong Opinion on AI Organizational Transformation

Data Science

How generative AI will revolutionize digital marketing

Handling Out-of-Distribution Data with Transformers

MLOps

Why you need MLOps

The most dangerous antipattern in MLOps: The model is “just a binary”

Talent

12 Reasons Why You’re Losing Data Scientists

Don’t force your data scientists up the management ladder

You need an AI transformation manager, NOT an AI product manager

Your Journey Starts Here