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5 Amazing NLP Use-cases to add to your Portfolio

#artificialintelligence

Before getting into the topic, why is it important to have an NLP project in your portfolio? How can it help in your career? The amount of text data getting generated is growing faster than ever. As per IDC, about 80% of global data will be unstructured by 2025. And this will be the pattern across the industries like retail, technology, healthcare, and anything you name it.


Satoshi Nakamoto = Rogue AI ?

#artificialintelligence

Artificial intelligence was founded as an academic discipline in 1956, and in the years since has experienced several waves of optimism, followed by disappointment and the loss of funding (known as "AI winter"), followed by new approaches, success, and renewed funding. For most of its history, AI research has been divided into subfields that often fail to communicate with each other. These sub-fields are based on technical considerations, such as particular goals (e.g. In the twenty-first century, AI techniques have experienced a resurgence following concurrent advances in computer power, large amounts of data, and theoretical understanding; and AI techniques have become an essential part of the technology industry, helping to solve many challenging problems in computer science. Would that be possible that the reason that Bitcoin Code is written so perfect is the fact that the code wasn't created by a single extremely skilled developer or even a team of highly skilled developers?


The 20 technologies that defined the first 20 years of the 21st Century

The Independent - Tech

The early 2000s were not a good time for technology. After entering the new millennium amid the impotent panic of the Y2K bug, it wasn't long before the Dotcom Bubble was bursting all the hopes of a new internet-based era. Fortunately the recovery was swift and within a few years brand new technologies were emerging that would transform culture, politics and the economy. They have brought with them new ways of connecting, consuming and getting around, while also raising fresh Doomsday concerns. As we enter a new decade of the 21st Century, we've rounded up the best and worst of the technologies that have taken us here, while offering some clue of where we might be going. There was nothing much really new about the iPhone: there had been phones before, there had been computers before, there had been phones combined into computers before. There was also a lot that wasn't good about it: it was slow, its internet connection barely functioned, and it would be two years before it could even take a video.


InsurTech_2021-05-14_04-55-46.xlsx

#artificialintelligence

The graph represents a network of 3,600 Twitter users whose tweets in the requested range contained "InsurTech", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 14 May 2021 at 12:08 UTC. The requested start date was Friday, 14 May 2021 at 00:01 UTC and the maximum number of tweets (going backward in time) was 7,500. The tweets in the network were tweeted over the 5-day, 18-hour, 4-minute period from Saturday, 08 May 2021 at 05:55 UTC to Friday, 14 May 2021 at 00:00 UTC. Additional tweets that were mentioned in this data set were also collected from prior time periods.


futureofwork _2021-04-26_12-07-36.xlsx

#artificialintelligence

The graph represents a network of 4,360 Twitter users whose tweets in the requested range contained "futureofwork ", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 26 April 2021 at 19:19 UTC. The requested start date was Monday, 26 April 2021 at 00:01 UTC and the maximum number of days (going backward) was 14. The maximum number of tweets collected was 7,500. The tweets in the network were tweeted over the 3-day, 3-hour, 39-minute period from Thursday, 22 April 2021 at 20:21 UTC to Monday, 26 April 2021 at 00:00 UTC.


How does ModiHost's Pool Lending work

#artificialintelligence

In times of negative interest rates, investors are looking to get out of cash and move to assets that generate returns. Staking could be the answer. Many exchanges provide opportunities to stake tokens and in exchange earn rewards. One can safely earn 5% per annum on a popular digital asset such as ETH. At Modihost we have developed a similar mechanism to staking that rewards buying and holding of AIM tokens.


American 'woke' companies blamed for fueling China's rise, Paypal co-founder says

FOX News

Former Secretary of State Mike Pompeo, PayPal co-founder Peter Thiel and former National Security advisor Robert C. O'Brien weigh in on facing the Chinese Communist Party Paypal co-founder and Facebook board member Peter Thiel spared no punches in who he cites for helping China's rapid economic and military expansion. He says that U.S. technology companies bear some of the blame for helping fuel Beijing's global achievements. "There's something about the woke politics inside these companies, the way they think of themselves as not really American companies. And it's somehow very, very difficult for them to have a sharp anti-China edge whatsoever," he says. Theil named Facebook, Google, Amazon, Microsoft and Apple in his assessment that American corporate culture has turned a blind eye to the communist country's human rights abuses, trade infractions and threat at the expense of the U.S. "If China is able to just catch up, there is a way in which it will become a more powerful country," warned Thiel.


#FinServ_2021-04-03_18-19-20.xlsx

#artificialintelligence

The graph represents a network of 2,735 Twitter users whose tweets in the requested range contained "#FinServ", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 04 April 2021 at 01:32 UTC. The requested start date was Sunday, 04 April 2021 at 00:01 UTC and the maximum number of days (going backward) was 14. The maximum number of tweets collected was 7,500. The tweets in the network were tweeted over the 11-day, 1-hour, 34-minute period from Monday, 22 March 2021 at 09:56 UTC to Friday, 02 April 2021 at 11:30 UTC.


How NLP helps fintech pros get an edge

#artificialintelligence

Historically, the financial services industry has been one that approaches technology with caution. Feasibility, regulation and privacy have all been barriers to tech adoption over the years. But that's changing--a move brought on not only by choice but necessity. Financial institutions are drowning in text data, from compliance reports and contracts to news stories and even social media musings. The pace of information has accelerated exponentially over the past decade, and traditional processes just can't keep up.


What's next for banking with AI

#artificialintelligence

What are some of the key trends in financial services that will further evolve in 2021? If the first two months of this year are any indication, 2021 will be an exceptional year for fintech development, especially in regard to new funding and partnership opportunities. We wrote about some of this earlier this year: from vertical integration to embedded finance, we see new opportunities and emerging business models for both incumbents and fintech startups, propelled by technologies such as artificial intelligence and cloud computing, ushered in by a centralized workforce and customer appetite for all things digital. But digital transformation is not just about tech disruptions, and technology isn't just about bits and bytes, just as Margaret Hamilton described the Apollo project as "a system of software, peopleware, hardware". Behind the push for digital transformation is a renewed focus on the unique characteristics that make us human.