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Adopting an Edge-to-Cloud Approach

Dataversity

Back in 2009, there was an enterprise technology with a lot of promise. That technology – cloud computing – is now a $600 billion market. Edge computing technology has followed a similar trajectory to the cloud. But adoption, marred by questions about security and reliability, lagged.

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Mastering digital transformation strategy: A comprehensive guide for success

Data Science Dojo

In 2009, Uber came along and revolutionized the entire taxi business. ” – Gartner While innovation and speed are essential, digitizing the enterprise entails more than just introducing new technologies, releasing digital products, or migrating systems to the cloud.

Big Data 195
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Top 10 Generative AI Companies Revealed

Towards AI

Unlearn.AI 👉Industry domain: AI, Health Tech, Generative AI 👉Location: 2 offices 👉Year founded: 2017 👉Programming languages deployed: CircleCI, GraphQL, Jupyter, NoSQL, Node.js, Java, C++, AWS, CSS, Pandas 👉Benefits: Hybrid work model, vision insurance, virtual coaching services, promotions within the organization, (..)

AI 87
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Pioneer of Google’s Data Centers Dies at 58

Hacker News

They house hundreds of thousands of computer servers and disk drives and have brought cloud computing, more powerful search engines, and faster Internet service. In 2009 Barroso co-authored The Data Center as a Computer: An Introduction to the Design of Warehouse-Scale Machines , a seminal textbook.

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A Space-Focused Start-up Takes Aim at Space Junk

DataRobot

Feyzi’s specialty is product development and cloud computing. In this age of cloud computing and high-performance computing, that doesn’t make sense.”. In 2009, an Iridium Communications satellite and a Soviet-era satellite collided 500 miles above Siberia, creating thousands of pieces of debris.

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AI Has an Uber Problem

O'Reilly Media

As Bill Janeway noted in his critique of the capital-fueled bubbles that resulted from the ultra-low interest rates of the decade following the 2007–2009 financial crisis, “ capital is not a strategy.” Venture capitalists don’t have a crystal ball.

AI 63
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How to Decide Whether a SaaS Tool is Worth Purchasing?

Smart Data Collective

The software industry is quite diverse, with solutions that may fulfill practically any potential business requirement, whether it be increased cloud computing capabilities, artificial intelligence-based automation tools, or merchant processing choices. The abbreviation for software as a service is “SaaS.”