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Cybersecurity is an area that is new and exciting. People like to know how to be safe from cyber attacks to digital terrorism. It can at first seem daunting to dive into the field of cybersecurity because it is a complex topic. However, with technology being a greater part of everyday life, it is a must to know about cyber risks. Cybersecurity podcasts have been a useful tool for years to absorb security content, keep updated with the recent risks, hear about current events, and everything else you need to know in order to stay at the top of your game. If you work in technology or are only starting to learn about the field, these are the best podcasts on the topic of cybersecurity. There are several great podcasters lauding from the security field, delivering decades of experience, fresh experiences, and useful knowledge to listeners around the globe. We have discovered 10 podcasts full of engaging conversations, interviews, and resources on recent trends and events. These podcasts are great at keeping up on the news, gathering valuable advice, not to forget that they are fun to listen to, from the newest security technologies to the emergence of new malware. Here goes the list of top 10 podcasts in cybersecurity in 2021. 1. Darknet Diaries: Host: Jack Rhysider Date of podcast launch: September 2017 Three typical topics: ATM hacking, the history of carding, Stuxnet Available on: RSS, YouTube, Spotify, iTunes, Google, Overcast, Stitcher and others Average episode length: 60 minutes, bi-weekly Website: darknetdiaries.com Darkest Diaries is undoubtedly amongst one of the most fascinating and interesting podcasts. Something that should be on the top of your watchlist. This investigatory podcast digs deeper into actual tales about cybercrime, malware, and everything else on the internet that is suspicious. Darknet Diaries provides extensive review for those who are pragmatic about the data breaches faced to today's people and corporations, featuring "true stories f

Most business Entrepreneurs and Data Scientists can disclose how to triumph with (AI) and ML, yet rarely anyone can share to fail with such technologies. While the innovation is solid and publicised   there is a lot of ways to fall flat with AI. Let's talk about nine innovative approaches to censure any AI startup to bankruptcy. #1 Cut R&D expenses AI requires heavy expenditure in cutting-edge research, experimentation, advanced computing, and computing infrastructure. Any AI startup willing to create helpful AI innovations needs to spend a lot of money on innovative work (R&D). To scale down expenses in this area, cutting R&D expenses will rapidly make way to failure. #2 Technology Bubble operation Technology is confined to the social condition in which it is created. Technology never sustains itself but other various important aspects. AI has failed a few times since the commencement of computer science not for technical reasons but as a result of an absence of social need and interest at that point. Experience has taught that AI advancements can't be made in isolation from the social conditions that make them important (like medical care, Health analysis, and money). It is quite crucial to first engineer people to persuade them. Before designing the actual technology, visionaries and business visionaries convince them to suspend their questions and embrace the novelty and utility of disruptive ideas. Working in a bubble and overlooking the current necessities of society is a certain way to failure. #3 Prioritize Technology over business technique Only technology isn't enough to make progress, regardless of how strong it is. In the end, Tech startups also need a great strategy to succeed in being a business entity. Any startup that comes up short on a technique for recognizing objective business sectors, generating sales, and viably allotting and spending resources, yet gives need only to their technical resources, is destined to fail rapidly.