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How will AI and Machine Learning affect cyber security?

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Like it or not โ€“ artificial intelligence is here, and it is going to stay. Researchers predict that by 2020, artificial intelligence technologies will be implemented in the majority of new software products and services, which will inevitably change the way we live, work, and do business. The machine learning technology is only in its infant stage, but it has already proven its efficiency in performing routine tasks in a broad array of industries, from retail, manufacturing, and healthcare to education and cybersecurity. However, while AI can be a huge help in detecting and fighting the latest cyber threats, experts are worried that artificial intelligence techniques could also bring more risks and even fuel cybercrime. "As AI capabilities become more powerful and widespread, we expect the growing use of AI systems to lead to the expansion of existing threats, the introduction of new threats and a change to the typical character of threats," a report warns. Researchers strongly suggest that before completely trusting the benefits of deep machine learning, it's crucial to take into consideration potential misuse of the artificial intelligence technology.


Top 10 AI apps and solutions that are changing the healthcare industry

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Artificial intelligence is ruling the market by introducing services that will change both the customer experience and the way we look at customers. The healthcare industry consists of medical instrument manufacturers, government and private sector hospitals, clinics, pathology labs etc. And includes diagnosis, medical care, illness prevention, and wellness. The industry is expected to reach 280 billion USD by the year 2020 and around 372 billion USD by the time we reach 2022. Which will be three times larger when compared to 2017.


EAB - Why Deepfakes aren't the Real Challenge for Remote Biometrics

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Suddenly, deepfakes are questioning the integrity of automated identity verification, which undeniably is the way to go for securing trust and efficiency in our digitized world. With money laundering and identity theft at stake, sophisticated anti-spoofing measures are required. While liveness detection is a trusted mechanism to secure the real user's presence, deepfakes are now creating new attack vectors. What are deepfakes even and what can biometrics do against them? And are they the real challenge for identity verification?


How big data and product analytics are impacting the fintech industry

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The fintech industry is growing at an accelerated pace, driven by new technological innovations and evolving needs. In many cases, the modern enhancements across many IT sectors have had secondary effects across industries โ€“ and particularly on fintech products and services. For example, artificial intelligence (AI) now drives a large number of applications and major predictive market models/systems. Of particular note are big data analytics and product analytics. Both industries get a lot of news coverage, though normally in relation to social media or marketing.


How big data Is being utilized by the fleet management industry

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Big data, or the data processed on a large scale by analytical tools, is crossing industries to generate new and improved technological processes. In fleet management, this means benefits to maintenance, driver safety, and overall profits. For a bottom line capable of surviving any economic conditions of the present and near-future, big data-powered tech can help fleet management companies thrive. The integration of these data tools have already proved their worth in the industry, and the future only looks brighter. Here, we'll explore just how big data is being utilized by the fleet management industry to produce better solutions in maintenance, safety, and financial outcomes.


How Much Does The Future Depend Upon Artificial Intelligence?

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AI has changed the world and it is not going to stop. It's time for you to know what it offers. Artificial Intelligence has grown and been adapted to become a game-changer for conducting businesses in the 21st century. From eliminating guesswork from your decision making to making repetitive and mindless tasks redundant, AI has already become a major attraction among the biggest businesses in the world. As good trickle-down effect works, the rest of the world is also going through this inevitable development. Let's begin and understand what makes AI the need of the hour and where it drives our future.


Big data and transportation industry: How is it making our roads better

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The global autonomous vehicle market is already valued at an estimated 54 billion, and is projected to increase over the coming years. Self-driving cars are one of the more popularized and futuristic endeavors that people are looking forward to, and it's all made possible in part by big data. However, in addition to autonomous vehicles, big data is transforming the transportation industry in a number of other ways as well. From improving traffic efficiency to crash maps made with predictive analysis, here's what you need to know. City traffic can cause a number of issues for commuters -- in fact, it's estimated that Americans lose $160 billion in productivity each year, simply by sitting in traffic.


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Great effort from team BDMS and Crayon Data to put up a portal like this. Big Data Made Simple is one of the best big data content portals that I know.


7 things you didn't probably know about artificial intelligence

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AI or artificial intelligence is a field of computer science that's been relevant ever since the first computer was created back in the 1930s. Over the years, we have seen countless AI applications in both the social and technological aspects of our lives, but there is a still a significant part of this rapidly growing field that is unknown to most people. We will go over 7 things you didn't know about artificial intelligence that could be affecting your life right now. Do you ever wonder why you have to figure out all the CAPTCHAs to identify yourself? Well, back in 1950, Sir Alan Turing devised a test to determine if the user taking the test is either a computer or a human.


Artificial intelligence and machine learning: What's the difference

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How often do you hear people use the terms "artificial intelligence" and "machine learning" interchangeably? The two are definitely related, and machine learning is actually a subset of artificial intelligence. However, as a greater number of businesses begin offering "intelligent" solutions, it becomes more vital than ever before to differentiate between these two concepts. After all, you may find yourself giving a presentation or speaking with someone who specializes in one of these fields, and you want to know what you're talking about. From cancer screenings to climate change, there are numerous applications for artificial intelligence.