Technology is as adaptable and compatible as mankind; it finds its way through problems and situations. 2020 was one such package of uncertain events that forced businesses to adapt to digital transformation, even to an extent where many companies started to consider the remote work culture to be a beneficiary long-term model. Technological advancements like Hyper automation, AI Security, and Distributed cloud showed how any people-centric idea could rule the digital era. The past year clearly showed the boundless possibilities through which technology can survive or reinvent itself. With all those learnings let's deep-dive and focus on some of the top technology trends to watch out for in 2021.
Artificial Intelligence
AI, ANN and other forms of an artificial Intelligence
Doing «Data Science» even if you have never heard the words before
There’s a lot of talk about machine learning nowadays. A big topic – but, for a lot of people, covered by this terrible layer of mystery. Like black magic – the chosen ones’ art, above the mere mortal for sure. One keeps hearing the words “numpy”, “pandas”, “scikit-learn” - and looking each up produces an equivalent of a three-tome work in documentation.
I’d like to shatter some of this mystery today. Let’s do some machine learning, find some patterns in our data – perhaps even make some predictions. With good old Python only – no 2-gigabyte library, and no arcane knowledge needed beforehand.
Interested? Come join us.
Russian AI Cup 2020 — a new strategy game for developers
This year, many processes transformed, with traditions and habits being modified. The rhythm of life has changed, and there's more uncertainty and strain. But IT person's soul wants diversity, and many developers have asked us if annual Russian AI Cup will be held this year. Is there going to be an announcement? What is the main theme of the upcoming championship? Should I take a vacation?
Though some changes are expected, it will be held in keeping with the best traditions. In the run-up, we will announce one of today's largest online AI programming championships — Russian AI Cup. We invite you to make history!
InterSystems IRIS – the All-Purpose Universal Platform for Real-Time AI/ML
Challenges of real-time AI/ML computations
We will start from the examples that we faced as Data Science practice at InterSystems:
- A “high-load” customer portal is integrated with an online recommendation system. The plan is to reconfigure promo campaigns at the level of the entire retail network (we will assume that instead of a “flat” promo campaign master there will be used a “segment-tactic” matrix). What will happen to the recommender mechanisms? What will happen to data feeds and updates into the recommender mechanisms (the volume of input data having increased 25000 times)? What will happen to recommendation rule generation setup (the need to reduce 1000 times the recommendation rule filtering threshold due to a thousandfold increase of the volume and “assortment” of the rules generated)?
- An equipment health monitoring system uses “manual” data sample feeds. Now it is connected to a SCADA system that transmits thousands of process parameter readings each second. What will happen to the monitoring system (will it be able to handle equipment health monitoring on a second-by-second basis)? What will happen once the input data receives a new bloc of several hundreds of columns with data sensor readings recently implemented in the SCADA system (will it be necessary, and for how long, to shut down the monitoring system to integrate the new sensor data in the analysis)?
- A complex of AI/ML mechanisms (recommendation, monitoring, forecasting) depend on each other’s results. How many man-hours will it take every month to adapt those AI/ML mechanisms’ functioning to changes in the input data? What is the overall “delay” in supporting business decision making by the AI/ML mechanisms (the refresh frequency of supporting information against the feed frequency of new input data)?
How Can AI & Data Science Help to Fight the Coronavirus?
Do you know AI can save us from a worldwide pandemic?
Yeah, it's true. Our global researchers have touted these two buzzing technologies can provide a substantial social benefit to this worldwide health crisis.
Before I begin, I would like to take this moment to say THANK YOU to all our COVID-19 Warriors standing on the frontline and working day and night for us. We can’t thank them enough. Our healthcare staff, police, scientist, security guards, and sweepers. Their contribution is overwhelming and commendable ?
Discovering a drug for any medicine demands the joint efforts of the world's brightest minds. The process is notoriously long, complicated, and expensive. And that's how health experts are involved in searching COVID-19 medicine. In the midst of such a crisis, artificial intelligence solutions are offering a new hope that a cure might appear faster with it.
Data Science vs AI: All You Need To Know
What do these terms mean? And what is the difference?
Data Science and Artificial Intelligence are creating a lot of buzzes these days. But what do these terms mean? And what is the difference between them?
While the terms Data Science and Artificial Intelligence (AI) comes under the same domain and are inter-connected to each other, they have their specific applications and meaning.
There’s no slowing down the spread of AI and data science. Many big tech giants are extensively investing in these technologies. As per the recent survey, it is estimated that artificial intelligence could add $15.7 trillion to the global economy by 2030.
Through this piece of writing, I will be explaining about the AI and data science concepts and their differences in detail. So, without wasting any more time, let’s get started!
Future of AI in Education; Such a Great Revolution
This is the time when everyone is aware of the magic that AI is doing all over the world. Yes, it is true and no one can deny the fact that AI is ruling all over the world almost in all the fields and is making our lives more exciting and autonomous. Like other fields, it is playing an important role in the field of education.
According to a survey, Artificial Intelligence (AI) recently started to penetrate into other industries in China. It was forecasted that by 2022 the Chinese market size of online education aided by artificial intelligence would amount to around 70.3 billion yuan.
VeChain Has Introduced Blockchain-Based Healthcare Data Management Platform At Cyprus Hospital
Blockchain possesses incredible potential, that's why blockchain systems are considered as a paradise for data. In all these years, the discovery of Blockchain has been enjoyed for the introduction of distributed systems to secure data by cryptography.
From the creation of cryptocurrency to distributed ledger systems and mobile applications, this technology is being welcomed by every business vertical, and its adoption has become complimentary for companies. Moreover, its adoption can majorly be cherished by the healthcare industry.
A number of IT institutions are engaged in finding the most promising usage of blockchain technology in healthcare. Let's take a brief look at Blockchain adoption in 2020.
The Global Blockchain Adoption
In 2020, the worldwide spending on blockchain systems is USD 4.3 billion. As per Statista, the market of Blockchain will be worth 20 billion USD by the year 2025. Its most critical adoption can be seen in the healthcare industry, where this technology is being considered as the biggest game-changer.
The truth is that this technology has shown a path to distributed systems coupled with unmatched security measures That secure data in a chain of blocks infused with cryptographic locks. Top-notch level security and quality of not being tempered by any external entity boost its adoption in several instances.
Machine Learning in Static Analysis of Program Source Code
Machine learning has firmly entrenched in a variety of human fields, from speech recognition to medical diagnosing. The popularity of this approach is so great that people try to use it wherever they can. Some attempts to replace classical approaches with neural networks turn up unsuccessful. This time we'll consider machine learning in terms of creating effective static code analyzers for finding bugs and potential vulnerabilities.
App ideas to generate revenues for startups in 2019 & beyond
Every entrepreneur starts a business with a vision to take it to exceptional heights. The bitter truth is, no matter in which industry domain you are working, you cannot survive for long if you do not perform extraordinarily.
How Ecommerce Fueled By the Pillars of AI Technology
At present, we see artificial intelligence is implemented across the corridors of business operations and also the way we shop and trade online. To hit a home run in the retail game, genius AI applications, PIM solutions, and e-commerce development tools are now offering smart solutions: predictive analysis, recommendation engines, inventory management, and warehouse automation to create a more profitable shopping experience for consumers.
Now more than ever, e-commerce is an AI innovation game
Artificial Intelligence often sometimes seems complicated to newbies but in reality, it is simple in use and gives you the ability to predict customer needs. This paves the way for e-commerce companies to become a “big brand” or “big business” with revolutionary AI tools.
Now that AI algorithms making way for consumer acceptance of AI like never before, how can you use it to create more profitable outcomes in e-commerce?
Interesting E-commerce Stats:
With an estimated global population of 7.7 billion, 25 percent of people shopping through e-commerce stores. According to Statista, 52% of e-commerce stores will have omnichannel capabilities by 2020 which means they can communicate and sell with their consumers via multiple channels. For example, they can use their e-commerce website, Facebook e-shop, email account, and Instagram account.
Examples of AI tools and PIM software for e-commerce businesses that can help them have a high bar on customer service and marketing:
Testing Water Melon using Neural Networks: Full Dev. Cycle from prototyping to the App. at Google Play
The beginning
It all started when I found an app. on Apple market, that supposedly was able to determine the ripeness of a water mellon. A program was… strange. Just think about it: instead of knocking using your knuckles, you were supposed to hit the water mellon with your iPhone! Nevertheless, I have decided to repeate that functionality on an Andtoid platform.
Ecommerce Tech Trends 2020: Era of Immersive Technologies
Technologies like AI, VR/AR, Cryptocurrency, IoT will take center stage in 2020 and also form as the backbone of tomorrow’s ecommerce tech innovation. Beyond the sales and revenue focused world of ecommerce, 2020 ecommerce tech trends will provide the capability to create new software solutions, mobile apps, and services that will lead to creating a richer and more satisfying shopping experience.
AI Robotization with InterSystems IRIS Data Platform
Fixing the terminology
A robot is not expected to be either huge or humanoid, or even material (in disagreement with Wikipedia, although the latter softens the initial definition in one paragraph and admits virtual form of a robot). A robot is an automate, from an algorithmic viewpoint, an automate for autonomous (algorithmic) execution of concrete tasks. A light detector that triggers street lights at night is a robot. An email software separating e-mails into “external” and “internal” is also a robot.
Artificial intelligence (in an applied and narrow sense, Wikipedia interpreting it differently again) is algorithms for extracting dependencies from data. It will not execute any tasks on its own, for that one would need to implement it as concrete analytic processes (input data, plus models, plus output data, plus process control). The analytic process acting as an “artificial intelligence carrier” can be launched by a human or by a robot. It can be stopped by either of the two as well. And managed by any of them too.
The Future of Artificial Intelligence in the Education System: Everything One Should Know
Artificial Intelligence refers to the theory of computer systems or human-made robots programmed with performing tasks as humans, such as learning, generalization, and reasoning. With this ability, AI has become a significant part of human lives. Similarly, AI and the education & tutoring web solutions are inseparable from being observed by the astounding inventions enabling machines to mimic human roles.
СodeSide. The new game for Russian AI Cup
The AI Cup community and Mail.ru Group in collaboration with Codeforces.com invite you to the real battle! Get ready for the sleepless nights and calloused hands — take part in Russian AI Cup, which is one of the most challenging and vivid artificial intelligence programming competitions in the world. Believe us, managers of this madness did their best to create the game you'd want to play.
To become part of the competition, you need Internet access, computer, creativity, and enthusiasm for being a part of this extraordinary Cup. By the way, you might need some coffee. Welcome!
AI-assisted IntelliSense for your team’s codebase
Earlier this year, we extended our ML model training capabilities beyond our initial Github trained base model to enable you to personalize your IntelliCode completion suggestions by creating team models trained on your own code.
Python for AI: A match made in heaven
AI along with its subsets like machine learning and deep learning is making such things possible which were unimaginable by humankind a few years back. It is affecting the realities and sometimes changing reality completely.
The power of AI is well acknowledged by businesses as 84% of respondents in a study voted that they believe artificial intelligence will allow them to enjoy a competitive edge over competitors.
Although entrepreneurs have an idea about AI but what most of them lack is proper implementation. The use of optimum programming tools for a complex technology like AI can create wonders for the world of business.
Every custom web developer knows that a python is an apt tool for building AI-enabled -applications. The language has been used to create 126,424 websites so far. Since its launch in the late 1980s, python has seen remarkable growth not only in users but in applications too.
Python is the favorite language for software developers to create applications that have artificial intelligence, machine learning, etc features embedded in them. But there are reasons behind everything.
This blog is written with the intent to unveil these reasons. Let’s explore why python is extensively used in AI-enabled software development services.
Use AI in marketing: Let’s get into the customers' mind
Do you know ~ according to research, 93% of customers make purchase decisions based on visual appearance. Visual elements of your brand are the key deciding factors for a majority of potential customers.
Your logo, website colors, chatbot texts, etc all have an impact on the psychology of people who come across them. Some colors or features attract them and some make them leave your website instantly.
In this era, interactive features with the help of technologies like Artificial intelligence are enhancing such effects. AI has the power to add interactive elements to your presentation. This creates a connection between your company and its customers.
ML.NET Model Builder Updates
ML.NET Model Builder
This release of Model Builder comes with bug fixes and two exciting new features:
- Image classification scenario – locally train image classification models with your own images
- Try your model – make predictions on sample input data right in the UI
Authors' contribution
alizar 4874.6marks 2200.43Dvideo 1257.0stalkermustang 1084.0BarakAdama 779.1ZlodeiBaal 629.0Firemoon 595.0AlexeyR 585.0ivansychev 537.7Markaty 525.5