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The Strategy Stack: Connecting Business, Product, and Technology Strategy

Roman Pichler

To ensure that the right technologies are applied, you’ll benefit from using a technology strategy. The company took the strategic decision to heavily invest in artificial intelligence and now uses AI to help Office users be more productive. [1] Similarly, the technology strategy is directed by the business strategy.

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Machine Learning (ML) Demystified: What Do You Need to Know About it?

The Product Coalition

The emergence and evolution of data science have been one of the biggest impacts of technology on enterprises. As the web world keeps growing and getting competitive, there’s a dire need for businesses to learn as much as they can about their consumers and the patterns impacting sales and profits. billion U.S.

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Why Machine Learning Solutions are Difficult to Implement without Machine Learning Operations?

The Product Coalition

According to Gartner , 85% of machine learning solutions fail because they use raw data. Data scientists work in isolation from operations specialists, and enterprises spend up to three months deploying an ML model. The peculiarities of MLOps workflow The workflow is based on the development cycle of an ML model.

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Artificial Intelligence and Machine Learning Help Companies Move Faster

TIBCO - Thought Leadership

Much has been written about the impact of artificial intelligence (AI) and machine learning (ML). Borrowing from the 2007 John McCarthy paper What is Artificial Intelligence? , AI is defined as: “… the science and engineering of making intelligent machines, especially intelligent computer programs.

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5 Things a Data Scientist Can Do to Stay Current

And more is being asked of data scientists as companies look to implement artificial intelligence (AI) and machine learning technologies into key operations. Fostering collaboration between DevOps and machine learning operations (MLOps) teams. Collecting and accessing data from outside sources.

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Effective customer engagement is business critical – insights from Harvard Business Review Analytic Services

Intercom, Inc.

New research from Harvard Business Review Analytic Services reveals that businesses of all sizes – from small businesses to enterprises – are realizing the business value of personal, efficient customer engagement. And many are striving to provide just that. But they’re facing big barriers.

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Product Management for AI/ML

The Product Guy

Artificial intelligence, machine learning, deep learning, and other intelligent algorithms are at the core of transformation for technology eating the world. It isn’t as easy as sprinkling some magic AI dust. Check it out… About The Product Mentor. Better Products. Better Product People.

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LLMOps for Your Data: Best Practices to Ensure Safety, Quality, and Cost

Speaker: Shreya Rajpal, Co-Founder and CEO at Guardrails AI & Travis Addair, Co-Founder and CTO at Predibase

Large Language Models (LLMs) such as ChatGPT offer unprecedented potential for complex enterprise applications. However, productionizing LLMs comes with a unique set of challenges such as model brittleness, total cost of ownership, data governance and privacy, and the need for consistent, accurate outputs.