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Rise in the demand for Machine Learning & AI skills in the post-COVID world

#artificialintelligence

The world has seen an unprecedented challenge and is battling this invisible enemy with all their might. The Novel coronavirus spread has left the global economies holding on to strands, businesses impacted and most people locked down. But while the physical world has come to a drastic halt or slow-down, the digital world is blooming. And in addition to understanding the possibilities of home workspaces, companies are finally understanding the scope of Machine Learning and Artificial Intelligence. A trend that was already gardening all the attention in recent years, ML & AI have particularly taken the centre-stage as more and more brands realise the possibilities of these tools.


5 Key Reasons Why You Should Use AI-based Solutions In Your HR department - DLabs.AI

#artificialintelligence

Will AI replace HR managers? Still, modern-day companies must realize they need new technologies if they're to stay at the forefront of their field. This includes human resources: and here are five ways HR departments can benefit from using AI-based solutions. There's been a seismic shift in labor markets. The landscape is forcing companies to use increasingly innovative methods not only to find but also to keep the best talent.


5 Key Reasons Why Data Scientists Are Quitting their Jobs

#artificialintelligence

The stock of a data scientist is at an all-time high right now. There aren't too many professions out there that can rival the specter, luster and respect a data scientist commands as we head into 2020. I have seen non-data science folks (or non-technical folks) look at a data scientist as someone with superpowers. There are plenty of reasons for this (media hype being one of them) but there's no doubt that the job of a data scientist is a highly valued one. Check out Gartner's publishes Hype Cycle for Artificial Intelligence in 2019 below: To support this, here is Linkedin's 2019 report on the most promising jobs and I am sure you would have guessed the profession that tops the list: From Fortune 500 companies to retail stores, organizations around the world want to build a team of top data science professionals.


Walmart has 1,500 data scientists and is hiring more amid a push to adopt artificial intelligence. The retailer's chief data officer recently shared the 3 questions that guide all its AI projects.

#artificialintelligence

Walmart is a leader in the push to adopt artificial intelligence and machine learning. Still, the world's largest retailer runs into many of the problems other organizations experience when pursuing the advanced technology. The company currently employs roughly 1,500 data scientists and 50,000 software engineers throughout the enterprise, according to chief data officer Bill Groves, who directly oversees a smaller staff of 100 tech workers. A Walmart spokesperson did not respond to a request to confirm those numbers. Those employees help support the over 100,000 different machine learning or AI-based projects the organization currently has in production.


AI And Community Development Are Two Key Reasons Why Google May Win The Cloud Wars

Forbes - Tech

Reflecting the rapidly increasing interest and investment in cloud computing, 10,000 developers, engineers, IT executives, and Google employees and partners gathered at Next '17, Google's annual cloud event for enterprise customers. Google showcased customer testimonials from Disney, Verizon, HSBC, Colgate-Palmolive, and Ebay; support from a number of new partners, including SAP; and a series of AI and cloud infrastructure-related announcements. Analysts were not impressed (see here and here, for example). Google, the argument goes, is a consumer company and does not understand or have ready access to enterprise customers. Amazon's first mover advantage has produced an insurmountable market lead (last year, it reported cloud revenues of $12.22 billion, compared to Microsoft's $2.42 billion and Google's $900 million, Deutsche Bank estimates).