Remove .Net Remove Data Engineering Remove Machine Learning
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Enhancing customer care through deep machine learning at Travelers

CIO

And we recognized as a company that we needed to start thinking about how we leverage advancements in technology and tremendous amounts of data across our ecosystem, and tie it with machine learning technology and other things advancing the field of analytics. But we have to bring in the right talent.

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Tecton raises $100M, proving that the MLOps market is still hot

TechCrunch

Machine learning can provide companies with a competitive advantage by using the data they’re collecting — for example, purchasing patterns — to generate predictions that power revenue-generating products (e.g. At a high level, Tecton automates the process of building features using real-time data sources.

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Predibase exits stealth with a low-code platform for building AI models

TechCrunch

“The major challenges we see today in the industry are that machine learning projects tend to have elongated time-to-value and very low access across an organization. “Given these challenges, organizations today need to choose between two flawed approaches when it comes to developing machine learning. .

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How to Hire a Part-time Machine Learning Engineer

Mobilunity

Machine Learning is a rapidly-growing field that is revolutionizing the way businesses work and collect data. The process of machine learning involves teaching computers to learn from data without being explicitly programmed. The Services That Machine Learning Engineers Can Offer.

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Hire Big Data Engineer: Salaries, Stack and Roles

Mobilunity

The cloud offers excellent scalability, while graph databases offer the ability to display incredible amounts of data in a way that makes analytics efficient and effective. Who is Big Data Engineer? Big Data requires a unique engineering approach. Big Data Engineer vs Data Scientist.

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9 Tech Conferences Not to Be Missed in October

Apiumhub

From software architecture to artificial intelligence and machine learning, ​​these conferences offer unparalleled insights, networking opportunities, and a glimpse into the future of technology. Learn more about the speakers and check out their schedule by visiting their site here. Interested in attending?

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Through the Looking Glass: Exploring the Wonderland of Testing AI Systems

Xebia

Artificial Intelligence (AI) and Machine Learning (ML) systems are becoming ubiquitous: from self-driving cars to risk assessments to large language models (LLMs). For example, to know how much taxes we owe, the tax office applies an algorithm to convert our gross income into a lesser version of itself (the net income).