Big Data vs Machine Learning

Every day the world is advancing into the new level of industrialization and this has resulted in the production of a vast amount of data. And, at initial stages, people started considering it as a bane, but later they found out that it’s a boon. So, they started using this data in a productive way. Big data and machine learning are terminologies based on the concept of analyzing and using the same data. Let’s get into more details.

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CloudXLab is proud to sponsor RACE360 as a Technology Partner.

RACE360, an Emerging Technology Conference 2019 (Powered by The Times of India) is happening on Wed, Aug 28th at The Lalit Ashok, Bengaluru. It is presented by REVA University, Bengaluru (REVA Academy for Corporate Excellence (RACE)).

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Stages of Artificial Intelligence

The emergence of Artificial Intelligence has played an essential role in revolutionizing the technical industry. According to many people, Artificial Intelligence is something that makes their work easy; well, it is just one of the qualities of Artificial Intelligence.

What is Artificial Intelligence?

According to Wikipedia, Artificial Intelligence “is intelligence demonstrated by machines, in contrast to the natural intelligence displayed by humans.”

Artificial intelligence can be categorized into several stages, depending upon the role they play. In this article, we will go through all of these stages, including their real-world application.

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Upskill your workforce in partnership with CloudxLab

Henry Ford (Founder of Ford Motor Company) once said- The only worse thing than training your employees and having them leave is not training them and having them stay”.  

Most organizations face this dilemma and sometimes choose not to upskill their workforce only to impede its own growth and relinquish opportunities of gaining competitive advantage. While organizations actively promoting workforce learning & development (L&D) often face indifferent employee behaviours to such initiatives. There are other concerns as well, such as- customised learning platforms, hands on learning, training quality, accreditation, post training support and what not……..

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Women’s Day 2019 – Showcasing 11 Incredible Women In AI Today

You already know that artificial intelligence is grabbing the world, transforming nearly every industry, business, trade, and function. But what you might not know are the incredible AI technologist and researchers powering the edge of this momentous revolution. 

Breakthroughs in AI are incredible, isn’t it? But how does it all occur? It’s when extremely talented and diverse thinkers from unique backgrounds, disciplines, expertise, and perspectives come forward. You might think of names like Andrew Ng (Baidu), Amit Singhal (Uber), Elon Musk (SpaceX & Tesla), Ginni Rometty (IBM) and Ray Kurzweil (Google) – but wait why all men?

2019 March, on International Women’s Day, CloudXLab aims to showcase 11 incredible women in AI.

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Career In Artificial Intelligence: Myths vs. Realities

In recent years, career opportunities in artificial intelligence (AI) has grown exponentially to meet the rising demand of digitally transformed industries. But while there are amply of jobs available in AI, there’s a momentous shortage of top talent with the essential skills. But why does this demand and supply gap exist? Many aspiring candidates wish to join the AI bandwagon, but several myths hold them behind.

Job site Indeed highlights, the demand for AI skills has doubled over the last 3 years, and the total number of job postings has upsurged by 119 percent. But, job-aspirants interest in a career in artificial intelligence seems to have leveled off. This clearly indicates employers are struggling to get good talent. This is surely good news for all those planning to transit their careers into AI!

Well, building a career in artificial intelligence demands a self-controlled approach. You might be interested in a career switch because of the exciting opportunities floating in this booming industry or maybe for that long deep-rooted interest to pursue AI as a career. Regardless of what your inspiration is, the first step to moving ahead in the AI career path is to ditch the myths and misconceptions that for long has been blocking your path.

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