Fintech has emerged as a huge revolution over the past couple of years. The need for secure and robust financial technology was even more in demand, in light of the pandemic, where people desperately needed financial services and automated processes that they could access remotely through technology. When one can’t go to the banks, financial […]
Revise and learn the 7 steps for successful Machine Learning projects Machine learning is an area of high interest among tech enthusiasts. Viewed as a branch of artificial intelligence (AI), it is basically an algorithm or model that improves itself through “learning” and, as a result, becomes increasingly proficient at performing its task. The applications […]
Use artificial intelligence to predict the value of Bitcoin Today we are going to discuss how to predict the price of Bitcoin by analyzing the pricing information for the last 6 years. Note that we already have established that our analysis will only focus on the pricing information, leaving aside any factor which may impact […]
A guide to web scraping powered by Python and Scrapy Since its inception, websites are used to share information. Whether it is a Wikipedia article, YouTube channel, Instagram account, or a Twitter handle. They all are packed with interesting data that is available for everyone with access to the internet and a web browser. But, what if we want to […]
It takes considerable expertise to not only build, integrate and maintain an AIOps platform In the wake of the economic downturn brought on by the COVID-19 pandemic, investments in digital business transformation have accelerated. The applications that drive those processes are not only highly distributed, but they also operate at a level of scale that no […]
Artificial intelligence (AI) applications are now mainstream and ready for real-world deployments. Early movers have already reaped the benefits of AI — reporting profit margin improvements of 1–to-5 percentage points over their industry peers. On the flip side, companies behind in their AI adoption report profit margins up to 5% lower than their industry peers. [1] […]
IBM this week announced its intention to spin out a new company next year focused primarily on managed infrastructure as part of a plan to focus more on hybrid cloud computing and artificial intelligence (AI) initiatives. IBM is combining the Red Hat assets it gained last year via a $34 billion acquisition with its investment in Watson […]
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