{"id":5199,"date":"2021-02-25T09:05:23","date_gmt":"2021-02-25T09:05:23","guid":{"rendered":"https:\/\/techclot.com\/index.php\/2021\/02\/25\/3-artificial-intelligence-ai-job-interview-questions-for-2021\/"},"modified":"2021-02-25T09:05:23","modified_gmt":"2021-02-25T09:05:23","slug":"3-artificial-intelligence-ai-job-interview-questions-for-2021","status":"publish","type":"post","link":"https:\/\/techclot.com\/index.php\/2021\/02\/25\/3-artificial-intelligence-ai-job-interview-questions-for-2021\/","title":{"rendered":"3 Artificial Intelligence (AI) job interview questions for 2021"},"content":{"rendered":"

3 Artificial Intelligence (AI) job interview questions for 2021<\/a><\/p>\n

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Can a candidate translate their artificial intelligence skills into business results? Consider these AI job interview questions, hiring managers and job seekers<\/h2>\n<\/p><\/div>\n<\/div><\/div>\n<\/p><\/div>\n<\/div>\n
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\"AI<\/figure>\n<\/div>\n<\/div><\/div>\n<\/p><\/div>\n<\/div>\n
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According to a Hackerearth survey of 2,500 developer recruiters and hiring managers<\/a>, the most in-demand tech skill for 2021 will be artificial intelligence<\/a>\/machine learning (AI\/ML). This is an incredibly broad field, and not all jobs will require the same skills. As your organization competes for talent, don\u2019t let enthusiasm cloud your judgment.<\/p>\n

It\u2019s important to ask the right questions to really gauge a candidate\u2019s fit for the role. Importantly, the interview shouldn\u2019t just dive into the nuts and bolts of AI; rather, it should give you an understanding of whether a candidate can translate their AI skills into business results.<\/p>\n

[ Need to speak artificial intelligence? Download our Cheat sheet: AI glossary<\/a>. ]<\/strong><\/p>\n

Here are a few questions that we\u2019ve been asking at LatentView Analytics<\/a> to help us get to the heart of the interview.<\/p>\n

1. What’s your experience with AIOps or MLOps?<\/h2>\n

Though not all AI roles require the same skillset, certain skills or backgrounds are almost universally valuable.<\/p>\n

We\u2019ve worked with numerous organizations that have invested millions of dollars into AI initiatives, and the pandemic has prompted their boards to ask how these have led to real growth. The focus is now on holding AI accountable and how to truly operationalize AI. It\u2019s about better operations, not big new projects. Because of this, AIOps<\/a> has jumped to the forefront of desirable skills within AI.<\/p>\n

[ What skills are hottest right now? Read also: IT careers: 10 critical skills to master in 2021<\/a>. ]<\/strong><\/p>\n

In the same way that DevOps revolutionized how we develop apps, AIOps is standardizing AI pipelines, generating in-depth performance analytics, and automating workflows. This leads to greater efficiency and also helps teams iteratively improve algorithm performance using real-time metrics. Application performance monitoring (APM) is a huge contributor to this, and we look for candidates who have experience working with APM platforms precisely because of how their performance-driven background orients the initiative toward measurable business objectives.<\/p>\n

[ Read also: What is AIOps? Benefits and adoption considerations<\/a>. ]<\/strong><\/p>\n

2. What are some novel use-cases for AI in X<\/em> field?<\/h2>\n

This question really depends on the role for which the candidate is applying. For instance, if your enterprise is in  banking\/financial servces, you could ask about a loan approval.<\/p>\n

The candidate\u2019s answer should touch on a few use cases that show they are knowledgeable in your field. It should also demonstrate technical expertise in terms of relevant algorithms. In the case of loan approval, for instance, the KNN algorithm is a good Supervised Learning algorithm because it effectively sorts applications into two classes: approved and disapproved.<\/p>\n

Most importantly, you want the candidate\u2019s answer to translate from technical to practical. How can you ensure that your training data is unbiased and doesn\u2019t lead to the wrong person being disapproved? How can advances in explainable AI<\/a> (XAI) help us understand and justify automated loan decision-making in the case of challenged results? If they are thinking through these implications, you know that they understand your business and the potential challenges they will encounter on the job.<\/p>\n

[ How does your AI strategy handle security and privacy? Read also: Artificial intelligence (AI) and privacy: 3 key security practices<\/a>. ]<\/strong><\/p>\n

3. What emerging areas of AI research are you excited about and why does that matter for our business?<\/h2>\n

Because the supply of qualified AI experts is relatively constrained and the field is progressing at breakneck speed, your new AI hire may well be further along the cutting edge of AI research than many of their peers.<\/p>\n

This question gives you a good idea of how their role might evolve in the future and how they perceive your company\u2019s technology trajectory. It also shows that they are keeping up with their field and will likely continue to do so at your company. This is important because flexibility and a desire to upskill are two of the most important soft skills that someone in a cutting-edge field can have.<\/p>\n

Finally, AI experts often become advocates internally for certain technologies or areas of AI research in which they have experience or a personal preference. You need to vet this in the interview because some people will look to make a tangential use case applicable to your company purely because they are passionate about it. Look for candidates who are pragmatic in their answers to ensure that future AI initiatives are focused and relevant.<\/p>\n

2021: The year of AI accountability<\/h2>\n
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MORE ON IT CAREERS<\/p>\n<\/p><\/div>\n<\/div>\n<\/div>\n

Businesses need to be strategic and holistic as they pivot from AI everything to AI accountability. This shift should not happen only on a structural or conceptual level: You don\u2019t simply want buy-in from the CIO or CTO, who then must constantly refocus their engineers. It needs to go down to the AI hires you are making today and tomorrow. In this way, you have alignment on business-focused AI from the bottom up.<\/p>\n

[ Get the eBook: Top considerations for building a production-ready AI\/ML environment.<\/a> ]<\/strong><\/p>\n<\/div>\n<\/div>\n<\/div><\/div>\n<\/p><\/div>\n<\/div>\n

Published at Thu, 25 Feb 2021 08:03:45 +0000<\/p>\n

Rugged computer for artificial intelligence (AI) uses that can use vehicle power introduced by …<\/a><\/p>\n

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TAIPEI, Taiwan \u2013<\/b> Neousys Technology in Taipei, Taiwan, is introducing the Nuvo-8108GC-XL edge graphics processing unit (GPU) rugged computer for artificial intelligence (AI)<\/a> in video analytics and deep learning, vision inspection, or 4G and 5G communications.<\/p>\n

The Nuvo-8108GC-XL supports NVIDIA RTX 30 series GPU card up to RTX 3080 and Intel Xeon E, 9th\/8th-Gen Core processors. Featuring thermal operation to 60 degrees Celsius, support for shock and vibration to 3 Grms, and wide-range 8-to-48-volt DC power input design.<\/p>\n

To accommodate the latest RTX 30 series GPU cards, Nuvo-8108GC-XL rugged computer<\/a> comes with a mechanical design highlighting heat dissipation and thermal design. It has an x8 PCI Express slot with four lanes and one x16 PCI Express slot with eight lanes.<\/p>\n

The Nuvo-8108GC-XL operates reliably and stably in shock and vibration conditions, and can be deployed on a vehicle and be powered via vehicle electrical power<\/a>.<\/p>\n

For more information contact Neousys Technology online at www.neousys-tech.com<\/a>.<\/p>\n<\/p>\n

Published at Thu, 25 Feb 2021 06:22:30 +0000<\/p>\n","protected":false},"excerpt":{"rendered":"

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