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San Francisco Business Times ‘Fast 100’ List of Bay Area’s Fastest-Growing Private Companies – We Made the List!

Cloudera

We were selected based on our pre-IPO revenue growth driven by demand for our machine learning and analytic platform. This year’s winners were selected based on percent growth in revenue from fiscal years 2014 to 2016. .

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Top Programming Languages For Data Developers In 2019

Smart Data Collective

You will encounter it all over web applications, network servers, desktop application, media tools, machine learning, and others. Game developers and IoT programmers are also catching on to JavaScript. If you desire to venture into web development, it is imperative to learn JavaScript.

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Huawei’s 20-year journey in Malaysia

CIO Business Intelligence

The programme is targeted at firms that use Machine Learning & Analytics, IoT, Edge Computing, and Software as a Service (SaaS) applications, leveraging Huawei’s leadership in technology and innovation. . The programme aims to drive output in areas such as e-commerce, Fintech, healthcare, manufacturing, and Smart Cities.

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Digital mining for sustainability in a low-carbon economy

CIO Business Intelligence

In fact, SAP had been providing solutions to Petrosea since 2014 to support transactions and business processes in finance, supply chain management, and plant maintenance, among other areas. These initiatives included exploring and engaging in technology solutions, such as those from Enterprise Resource Planning (ERP) software leader SAP.

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How The Cloud Made ‘Data-Driven Culture’ Possible | Part 1

BizAcuity

2014: Satya Nadella, who is influential behind Microsoft’s cloud market ventures, becomes the CEO of Microsoft. Microsoft launches Azure ML Studio for machine learning capabilities on the cloud. AWS rolls out SageMaker, designed to build, train, test and deploy machine learning (ML) models. billion by 2025.

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Making smart cities safer with data

Cloudera

IoT opens doors to threats. Frost & Sullivan estimates that Asia Pacific will spend US$59 billion on the Internet of Things (IoT) by 2020, up from the US$10.4 billion in 2014. The rise of IoT malware. Cost-effectively ingest, store and utilize data from all IoT devices. Here’s my take on the top three reasons.

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