Tools to improve and control code quality can be a key success factor in a complex software project implementation. Static analyzers belong to such tools. Nowadays, you can find various static analyzers: from free open-source to cross-functional commercial solutions. On the one hand, it's great – you can choose from many options. On the other hand – you have to perform advanced research to find the right tool for your team.
It’s a harsh reality that any investment or security that you have is subject to systematic risk, that’s just the nature of the financial world, with mispricing — causing a divergence between the market price of a security and the fundamental value of that security — a guilty party quite often. This is brought about by the world we now live in, information-heavy, with masses of unstructured data sets and with an infinite number of possible outcomes.
Luckily, there are now methods in place that can combat some of these difficulties and, with any luck, bring the investor a healthy return on their investment.
And it comes in the form of Al-driven, quantum-inspired solutions fuelled by state-of-the-art processors that are able to leverage the unique attributes of quantum physics to solve some of the most, up to now, unsolvable problems, with a handful of startups at the forefront of it.
These include Adaptive Finance Technologies, QuantFi and Zapata Computing which, to a greater or lesser degree, have their own unique approach to investment strategies in the global markets in securities pricing, portfolio optimization, equities, derivatives and the like.
We’ll look now, just at a handful of these whose data readers will be able to find on TQD’s very own data platform, The Quantum Insider (TQI), starting off with the three already mentioned before moving on:
Money theft is one of the most important risks for any organization, regardless of its scope of activity. According to our data, 42% of cyberattacks on companies are committed to obtain direct financial benefits. You can detect an attack at various stages—from network penetration to the moment when attackers start withdrawing money. In this article, we will show how to detect an attack at each of its stages and minimize the risk, as well as analyze two common scenarios of such attacks: money theft manually using remote control programs and using special malware—a banking trojan.
Digital communication APIs and SDKs! the most powerful tool in the era of digitalization. Unlike other tools, these real time communication APIs have spread their impact over all industries and have successfully grabbed the attention of proficient developers too.
Based on the demand and need of developers to know more about these digital communication APIs and SDKs concerning their market availability with pricing, features and functionalities, I have posted this article to get you some clarity with research on the top most real time chat API and SDK providers. So, let’s start over.
I am not an economist, but in light of current events with cryptocurrencies and the economy in general, I would like to share my thoughts on some kind of ideal economy, around which everything is happening now.
Free money to fund your own business is probably the most cherished dream of every budding entrepreneur.
And getting a grant is what can bring it to life. While small business owners dream of a grant to fund their startup, the process of its obtaining is not as easy and cloudless as it may seem.
However, if you know where to look for the right fund and how to apply, one can significantly nick in the path to getting seed money.
Difference between a grant, attracted investment, and loan.
Nothing and nobody will escape oblivion. Whatever you may say, the history of mankind is a history of automation and the subsequent evolution of workers. This happened both during the first industrial revolution and during the second. The same thing happened with digital revolution. Now machine learning and artificial intelligence are being implemented everywhere. What is the future of software testing?
Who controls App Store: Martians or AI? Closed session of Russia's Federation Council and Apple leaked online
Video recording of a closed session of the upper house of Russia's parliament was leaked online by Telegram channel A000MP97. In the video, Andrei Klimov, head of the Ad Hoc Sovereignty and Preventing Interference in the Domestic Affairs Commission, demands Apple to disclose who controls the App Store: people from Mars or artificial intelligence?
On September 16th, a closed session of the Commission took place, and representatives of Apple and Google were among those who were invited. The session discussed ways to protect sovereignty of the country, in particular, the fact that the Navalny app was still available in Apple App Store and Google Play. The services were accused of being complicit with organisations deemed extremist and banned in Russia as well as interference with Russian elections.
The blog post demonstrates flexibility of the Company Structure in Employee Central when replicating complex SAP ERP HCM Organizational Structures.
Hello, Habr! Not only traders but also mathematicians and programmers work with stock markets. Director of Engineering at Luxoft Artem Sosulnikov tells about data, which specialists of quantitative hedge funds work with, things they pay attention to, and conditions in such companies.
Hello everyone! Welcome to the second part of the PVS-Studio Team's Kanban Board story. This time we'll talk about YouTrack. You'll learn why we chose and implemented this task tracker and what challenges we encountered. We don't want to advertise or criticize YouTrack. Nevertheless, our team thinks JetBrains has done (and keeps doing) a great job.
With the help of the ESLint and Prettier features, you can automate the formatting of your code, make it more expressive and accurate, correspond to specific rules, and avoid errors and bottlenecks even before uploading the code to the shared source storage...
We present a guide to name entities in code based on putting naming in perspectives of semantic space, design, and readability.
The main idea is that naming should not be considered as creation of tags, but as a fundamental part of design process, which implies integral and consistent vocabulary to be used. We discuss naming process and naming formalism from these perspectives and we provide guidelines for practical use.
The work is based on 15 years of experience in engineering work, coding and development management in high-tech industries.
When a company decides to build a marketplace, one of the most critical issues to solve is building interaction between all operational processes.
You need a system where you can manage and exchange customer, partner, and order data. Often the back-office of a marketplace consists of a complex of systems. However, we have been working with marketplaces for many years and have come to the conclusion that the integration between back-office systems should be seamless. At least between 6 fundamental parts. Thus, we have created the Scallium platform, where the business manages the processes of the marketplace.
These days, video streaming mobile apps have been witnessed with an increased spike of subscribers & now much video content is being much cherished without any interruptions via a streaming app.
This is duly because catering to the prerequisite needs of end-users have popularized several VOD streaming services that has bought keen interest as compared to to the big black box which is slowly diminishing its presence.
According to recent forecasted data, there is a positive anticipation of the entire VOD streaming platform development’s market to expand its size & peak its value by $842.93 billion by the year 2027! Source: Softermii
I have already written about AIOps and machine learning methods in working with IT incidents, about hybrid umbrella monitoring and various approaches to service management. Now I would like to share a very specific algorithm, how one can quickly get information about functioning conditions of business applications using synthetic monitoring and how to build, on this basis, the health metric of business services at no special cost. The story is based on a real case of implementing the algorithm into the IT system of one of the airlines.
Currently there are many APM systems, such as Appdynamics, Dynatrace, and others, having a UX control module inside that uses synthetic checks. And if the task is to learn about failures quicker than customers, I will tell you why all these APM systems are not needed. Also, nowadays health metrics are a fashionable feature of APM and I will show how you can build them without APM.
Nowadays a lot of product managers have to confirm most of their decisions with AB-tests. Yet, it is far not always clear how to choose the parameters for the test. A particularly difficult parameter to tune is often the level of statistical significance. If we choose too high level - tests will fail even though improvements do exist. If we choose too low level - we'll be getting lots of "confirmations" of false improvements.
When we make decisions based on AB-tests, once in a while we'll be making mistakes. We can limit the losses caused by such mistakes by choosing the appropriate level of statistical significance.
Many of us spend time in specialized telegram groups. The power over communication here belongs to random people with their own shortcomings. Conflict and abuse occurs regularly. Is there another way to keep order so that scam spam doesn't flourish and no one has total control over group members?
In my case, these thoughts led to the development and testing of a system that can be connected to your Telegram today.
It was 1989 when 2 editors of Inc. magazine, George Gendron and Bo Burlingham made the nervous drive to Palo Alto, California. Not long beforehand they’d decided on who to name as Inc.’s Entrepreneur of the Decade, and finally, they would get a chance to interview him.
As they entered the offices of NeXT, their interviewee approached them. In his trademark jeans and turtleneck sweater, Steve Jobs led them up the stairs to his office and the interview commenced.
Securing an interview with Steve Jobs was rare, even in 1989. And, wanting to make the most of their time, the editors got straight to the point with their very first question:
“Where do great products come from?”
After a slight pause, and a shuffle in his chair, Jobs replied:
“I think really great products come from melding two points of view; the technology point of view and the customer point of view. You need both. You can't just ask customers what they want and then try to give that to them. By the time you get it built, they'll want something new.”
Silence overshadowed the room. Three decades later, and this powerful answer Jobs gave is something that still isn’t often internalized in companies.
Collecting user feedback is incredibly important. As you’ll see examples of later in this article, launching surveys, asking onboarding questions, and conducting customer interviews are all vital tools for improving your product.
But the true lesson that Steve Jobs gave all this time ago was that user feedback isn’t as simple as asking what users want, or what they think about your product, and making those changes. You have to dive much deeper.
The year 2021 started on such a high note for Qrator Labs: on January 19, our company celebrated its 10th anniversary. Shortly after, in February, our network mitigated quite an impressive 750 Gbps DDoS attack based on old and well known DNS amplification. Furthermore, there is a constant flow of BGP incidents; some are becoming global routing anomalies. We started reporting in our newly made Twitter account for Qrator.Radar.
Nevertheless, with the first quarter of the year being over, we can take a closer look at DDoS attacks statistics and BGP incidents for January - March 2021.