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AI training: Leverage your tech skills and send your career soaring

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Artificial intelligence is used in everything from the Internet of Things to fighting cybersecurity attacks, so those cutting-edge skills will be in high demand for quite some time to come, which makes them a perfect choice for turbocharging your mid-level tech career. The Machine Learning Master Class Bundle can take your intermediate skills and boost them in a number of different directions, including data science and gaming. If you have some math and Python experience, then go straight for the main overview, "Machine Learning For Absolute Beginners," which will provide hands-on learning with nine actual projects. And if you're interested in data science, which every industry from medical to tech relies on, then follow up with "Data Visualization With Python: The Complete Guide." On the other hand, if math gives you problems, take "Mathematical Foundations For Machine Learning & AI" which can demystify it for you.


The essential role of AI in cloud technology

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As multiple industries shift more into the world of cloud computing, talks of Artificial Intelligence (AI) integration in order to enhance cloud performance has continued at a dramatic pace. Combining both AI and cloud technology together, is beneficial to varying degrees, nevertheless, there is still some further progress to be made across the substantial challenges that technical developers are facing for a more cohesive integration. Cloud computing alone allows companies to be more flexible whilst simultaneously providing economic value when hosting data and applications on the cloud. AI-powered analytical data insights plays an essential role in its enhanced capabilities in data management However, it begs the question, can AI and cloud unification streamline data efficiently and what other benefits can arise from this integration? Due to the financial and personal sensitivity in which organizations carry, thoughts also turn to the important question of integration effectiveness and more specifically how well it can protect privacy whilst companies are continually at risk of a potentially serious cybersecurity breach, especially because an increased rate of workforces are now working from home remotely.


Council Post: Four Supply Chain Predictions For 2022

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Kevin Beasley, CIO at VAI, oversees the corporation's overall technology strategy. Another holiday season with an overloaded supply chain is bad news for retailers and business leaders -- if nothing else, it means we have spent the entire year battling supply chain disruptions. From the 42% increase in cyberattacks in the first quarter to port congestion and labor shortages, business and supply chain leaders faced more than their share of challenges in 2021. But the year also presented opportunities for organizations to learn and adapt to unexpected circumstances. This includes some CIOs and their IT teams who were tasked with managing the shift in security infrastructure requirements for remote work.


Solving CAPTCHAs With Machine Learning to Enable Dark Web Research

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A joint academic research project from the United States has developed a method to foil CAPTCHA* tests, reportedly outperforming similar state-of-the-art machine learning solutions by using Generative Adversarial Networks (GANs) to decode the visually complex challenges. Testing the new system against the best current frameworks, the researchers found that their method achieves more than 94.4% success on a carefully curated real-world benchmark dataset, and has proved capable of'eliminating human involvement' when navigating a highly CAPTCHA-protected emerging Dark Net Marketplace, automatically resolving CAPTCHA challenges in a maximum of three attempts. The authors contend that their approach represents a breakthrough for cybersecurity researchers, who traditionally have had to bear the costs of supplying humans-in-the-loop to manually solve CAPTCHAs, usually via crowdsourcing platforms such as Amazon Mechanical Turk (AMT). If the system can prove adaptable and resilient, it may further pave the way for more automated oversight systems, and for the indexing and web-scraping of TOR networks. This could enable scalable and high-volume analyses, as well as the development of new cybersecurity approaches and techniques, which have been hamstrung, to date, by CAPTCHA firewalls.


top-10-key-ai-and-data-analytics-trends-for-2022

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Transacting has changed dramatically due to the global pandemic. E-commerce, cloud computing and enhanced cybersecurity measures are all part of the global trend assessment for data analysis. Businesses have always had to consider how to manage risk and keep costs low. Any company that wants to be competitive must have access to machine learning technology that can effectively analyze data. The industry's top data analysis trends for 2022 should give our creators an idea of where it is headed.


Bot Hacks: The Next Frontier

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The age of robots and artificial intelligence is in its early stages – robots are here to stay for a long time and generations to come. For decades, robots have played a significant role in sci-fi movies and our imaginations in tandem. Today, some household appliances such as automated vacuums are robotic. Such popular robotic appliances coupled with IoT functionality are very promising. The innovations keep getting more exciting.


Quantum Computing Expanded In 2021, Setting Up A Big 2022

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Quantum computing has experienced unprecedented growth and interest over the last two years due in large part to companies like Honeywell, IBM, Google, and Intel. We've also seen new up and coming players like IonQ and Rigetti step into the foray to advance the technology. And while the field is still rapidly evolving, there has been some major advancements as companies have tapped into the power of quantum computing to help with research and development in the pharmaceutical and chemical industries, mitigate risk in the finance industry, and aid in cybersecurity across a multitude of industries. But I don't think the growth will stop there. In my Digital Transformation Trends predictions for 2021, I proposed that Quantum would go mainstream, and while it missed the 2022 list, I do think the momentum will continue for Quantum this year.


Enhance Cybersecurity using AI and ML

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The concept of Cybersecurity has grown more critical in the past decade as computers and the Internet have become more and more integrated into people's daily lives around the globe. A cybersecurity attack occurs when someone manages to bypass the technological security measures designed to protect computers, networks, programs, and data from being accessed, modified, or destroyed by unauthorized parties. Cybersecurity attacks cost the average company about $4 million in damages, reported the Cybersecurity Ventures organization in 2011. Cybersecurity is a significant issue that needs to be addressed by every organization, from Hacking to other major security issues, and there is no doubt that we need some new technological methods to help ensure our security. However, AI and Machine Learning might be the solution.


The Impact of AI on Cybersecurity

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Experts believe that Artificial Intelligence (AI) and Machine Learning (ML) have both negative and positive effects on cybersecurity. AI algorithms use training data to learn how to respond to different situations. They learn by copying and adding additional information as they go along. This article reviews the positive and the negative impacts of AI on cybersecurity. Attacks are becoming more and more dangerous despite the advancements in cybersecurity.


Artificial Intelligence cuts down packaging issues for Amazon - Cybersecurity Insiders

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From January 3rd, 2022, Amazon will be solving most of its packaging issues with the help of AI based machine learning tools. Meaning, the Jeff Bezos led company will be amalgamating computer vision and natural language processing to'guestimate' the right amount of packaging required to pack millions of products it ships to its customers. According to an update released to the media, Amazon expressed that the use of AI tech has reduced the packaging consumption per shipment by over 33% that accounts for 3 million tons of packaging required to prepare over 2 billion different sized boxes. From the year 2019, Amazon tested the Machine Learning model of packaging in its facilities located across the United States and was happy to announce that it was 100% satisfied with the results. To achieve its vision, the American retail giant had to upgrade its packaging and distribution tunnels with some software driven cameras and some sensors.