South Korea will make AI, Big data, and 5G network the centerpieces of what it claims to be a SOLUTION to create jobs and increase growth after the disappearance of the new coronavirus pandemic.
The government of South Korea has a big plan to work on a large-scale project to promote a digital economy, seeking synergy with private sector investment and improving industrial productivity and overall competitiveness.
They will actually work on 10 objectives to accelerate the transformation of a digital economy, which includes the construction of Big Data systems, 5G Network, AI to remote businesses, and improve security on the long term.
The project comes as the South Korean trade-dependent economy prepares to fall even further due to the Coronavirus pandemic.
Even though the country has so far managed to contain its own outbreak, March was its worst month for job losses since the global financial crisis, with part-time workers and young people being the hardest hit.
The fourth-largest economy in Asia lost 476,000 jobs in April, the worst monthly decline since 1999 when the country emerged from the Asian financial crisis, according to official data.
Some temporary workers have also lost their jobs, even though South Korea has maintained most of its open economy.
As part of its plan to survive the economic crises, South Korea plans to create funds to support the development of AI, build sites for testing robots, and help companies launch new services that use Big data.
They will also support the construction of a national 5G network. The main goal here is to improve South Korea’s economic growth potential and create sustainable jobs for the future generations.
La diffusion rapide et mondiale de COVID-19 a mis en avant les outils avancés d’analyse des big data, des entités de tous les secteurs de l’industrie et des soins de santé qui cherchent à surveiller l’impact de ce virus.
Big Data et COVID-19 ?
En effet, depuis que le COVID-19 a frappé les USA, les chercheurs ont travaillé d’arrache-pied pour découvrir la nature du virus, pourquoi il affecte plus que d’autres, quelles mesures peuvent aider à réduire la propagation et où la maladie ira probablement ensuite.
Entre reconnaître les signes et les symptômes, suivre le virus et surveiller la disponibilité des ressources hospitalières, les chercheurs sont confrontés à d’énormes quantités d’informations. Ces dernières sont très extensibles et volumineuses pour que les humains puissent les comprendre et les analyser par eux-mêmes.
L’intelligence artificielle peut éliminer de nombreuses fausses pistes et va permettre d’identifier des cibles potentielles. Cela va accélérer par suite la découverte éventuelle du vaccin contre le COVID-19.
Le principal avantage du big data est le fait de créer une opportunité pour une évaluation plus rapide et presque en temps réel de la prise de décision. Cela sauvera des vies et permettra d’identifier plus rapidement des thérapies efficaces
Les data de la pandémie de COVID-19 feront probablement partie de l’ensemble de preuves qui seront présentées aux autorités réglementaires une fois qu’une ou plusieurs thérapies identifiées semblent efficaces.
Cela créera potentiellement un précédent sur la façon dont les données vont être utilisées dans des situations similaires à l’avenir.
À première vue, en utilisant les données collectées et les ratios des données fiables nous avons créé un modèle qui estime le nombre de cas dans les semaines prochaines :
Vrais cas probables aujourd’hui 44
Vrais cas probables dans une semaine 476
Dans ces conditions, il faut signaler que nous allons arriver à 2000 cas probables dans deux semaines et plus de 35000 cas dans un mois. Il semblerait que c’est une estimation alarmante pour la Tunisie !
Par ailleurs, le but de cet article sur COVID-19 est de regrouper les recherches existantes, de rassembler les données pertinentes et de permettre aux lecteurs de comprendre les données publiées et les premières recherches sur l’épidémie de coronavirus.
Les décès et les infections dus au coronavirus dans le monde ont dépassé ceux de l’intérieur de la Chine pour la première fois depuis le début de l’épidémie.
Maintenant la question qui se pose est peut-on faire des estimations de cas de Coronavirus sur le court et moyen terme ? Et ce en se basant sur des données antérieurs ?
Les infections dans le monde ont atteint plus de 87 000, selon le traqueur de l’université Johns Hopkins, alors que les cas en Chine se sont élevés à 80 860, selon la Commission nationale chinoise de la santé.
Mais à bien considérer les choses, le centre d’infection le plus important en dehors de la Chine est en Italie, où il y a près de 25 000 infections confirmées et plus de 1 800 décès.
Le début d’épidémie
Le 31 décembre 2019, le bureau chinois de l’Organisation mondiale de la santé (OMS) a entendu les premiers rapports d’un virus inconnu derrière un certain nombre de cas de pneumonie à Wuhan, une ville de l’est de la Chine comptant plus de 11 millions d’habitants. COVID-19 a touché ensuite environ 80 969 personnes en Chine continentale, tuant 3 162 personnes.
La province du Hubei a été la plus durement touchée par COVID-19, la plupart des infections se produisant à Wuhan même.
Mais il faut souligner que la Corée du Sud est probablement une aberration statistique. La pile croissante de données a permis aux autorités de tester rapidement la maladie et de suivre sa propagation rapide Lors d’épidémies précédentes, des retards dans la collecte et le suivi ont entrainé des temps de réponse lents.
La suite alarmante
En dehors de la Chine, l’Italie a enregistré le plus grand nombre de cas, avec 10 149 personnes infectées confirmées, principalement dans le nord du pays. Le pays tout entier est désormais verrouillé après la prolongation de la quarantaine couvrant le nord du pays le 9 mars. Puis le Royaume unis avec un nombre total de cas qui s’élevait à 1 372, contre 1 140 à la même heure samedi. Ensuite la France qui a compté dimanche soir 127 morts et 5 423 cas de contamination depuis le début de l’épidémie.
Étude de données et interprétations
Le nombre total des cas infectés détectés en Italieaujourd’hui est de 21,157 en une courbe strictement croissante et alarmante. D’où on estime si le nombre de nouveaux infectés détectés hier était de 2,500, ils seront aujourd’hui de 3,497 nouveaux cas. On souligne ici sur le nombre des personnes détectées contre celles infectés sinon le nombre devrait être beaucoup plus élargi.
En effet, durant les deux semaines de la détection des premiers cas, l’Italie n’a pas enregistré des victimes. Mais au cours de 14 à jours, on a commencé à enregistrer des morts pour que ça atteigne aujourd’hui les 1,441 (175 nouveaux morts aujourd’hui et 250 hier).
Ce qui fait que le taux de mortalité du Corona en Italie aujourd’hui est de 6.8 % augmentant chaque jour de 0.5 point et dépassant la moyenne mondiale qui se situe aujourd’hui à 3.8 %.
On parle de deux taux de mortalité, le taux de mortalité général (nombre de morts divisé par le nombre d’infectés) et qui est aujourd’hui de 6.8 % en Italie et puis le taux de mortalité de cas fermés (récupération ou mort) et là le taux de mortalité atteint les 43 %.
En outre, on estime une augmentation d’infectés de 12 à 16 % quotidiennement et une augmentation de morts de 10 à 15 %.
L’écart entre le nombre de nouveaux infectés et récupérés augmente en exponentiel ce qui a généré le chaos qu’on distingue aujourd’hui.
Pour conclure, l’Espagne et la France suivent le même scénario que l’Italie malheureusement ou encore pire !
En résumé, il est temps pour un wake up all et arrêter de banaliser le COVID-19 ! Suivez les instructions gouvernementales car les chiffres sont vraiment alarmants !
In computer terms, “vision” involves systems capable of identifying elements, places, objects or people from visual images and all of those are gathered by a camera or a sensor.
Indeed, that’s the technology that enables your smartphone’s camera to recognize which part of the image is capturing and to feed technology such as Google Image Search.
In 2020, we will witness tools and technologies with computer vision deployed for an increasing number of uses.
This is fundamental to the way autonomous cars can “see” and manage the danger.
The production team will use “computer vision” cameras to detect defective products or equipment failures, and the security cameras will be able to alert if there’s something out of the ordinary, without requiring 24 hours surveillance, 7 days on 7.
Computer vision allows facial recognition
Computer vision also allows facial recognition, which we will hear a lot about in 2020.
We have already seen how technology can control access to our smartphones in the case of Apple’s Face ID and how the airport from Dubai uses it to offer the customer a more comforting trip.
However, as the use cases increase in 2020, there will also be more and more debate over limiting the use of this technology due to the potential privacy risks and the possibility of ‘state control similar to the ‘Big Brother ‘phenomena.
Despite the fact that data-mining is a newcomer to the business field today, nobody can deny its importance in making businesses grow. In this article, we will provide our readers with a detailed definition of data mining. We will also talk about its uses of and its influence.
To make it simple, data-mining is all about gathering and digging data. Then, you need to analyze it in order to get relevant and useful information. Data miners of course usebusiness intelligence solutionsinstead of the old tools and software to track and analyze the huge amount of structured and unstructured data.
2/HOW DOES IT WORK:
The Business intelligence solutions provide relevant and continuous ETL (extract-transform-Load) data processing to help organizations and businesses warehouse data smoothly. In fact, after finishing the mining process, business owners and decision makers will be provided with useful reports of summarized data. Before data-mining came to save us, these reports needed a high level of expertise.
As modern businesses rely on a massive amount of data today, they should check it and analyze it whenever they need useful information. This is how the term “Big Data” was created. Indeed, business owners, leaders and organizations use data-mining systems in order to get helpful data that is manipulable and flexible, so they can make better decisions.
4/THE USES OF DATA-MINING:
We can rely on business intelligence solutions in many fields. In fact, data that comes from sales, consumer behavior, market trends, categorizations, etc, needs to be treated for many specific industries. In addition, data-mining has an extremely important role on other fields such as biomedical research and educational organizations.
Since there are many web development companies and agencies in the market, in this article we will tell you why steps is the perfect fit for your business. We will discuss the history of our company as well as our achievements, our highly experienced team, and we will give you more details about our services. Steps is an IT company founded in 2012 specialized inWeb and mobile development and data mining. We opt a B2B (business to business) approach offering our high quality services to a large base of national and international clients.
1/ Our history:
After establishing our company, we provided offshore web and mobile development services to governments, and businesses. Indeed, we already had international clients since our first year in the market. Besides, we started developing a constructive database and building our team’s expertise in data mining and analysis. Then, we started exploring data that we collected through our previous work and in 2016, having acquired a strong experience and grasp of data mining.
Since our foundation, we have been making big steps into the market and working with up to 167 clients from all over the world. Moreover, we succeeded to accomplish more than 10 big projects. This large base of clients allowed us to build a highly qualified team.
3/ Our team:
We are so proud to have more than 20 proficient engineers who are constantly working in order to satisfy our dear clients. Their professionalism and commitment allowed them to strengthen their expertise. In fact, our team is composed of different departments; mobile and web development, data-mining and marketing. We are apt to create high quality projects with the latest trends in the marketing field.
As your satisfaction depends on our availability and rapidity to respond to your needs, we guarantee that we will be at your disposal whenever you need us.
Web Development and Design :
The most important thing every website needs today is to be responsive and user-friendly. Indeed, we create interactive websites and compatible with different devices. Moreover, we provide assistance with both the aesthetic and technical aspects without forgetting to put our unique and creative touch.
Mobile App Development:
Our qualified and experienced team is apt to develop all different types of apps for both IOS and Android devices. We create well- designed and innovative apps with efficient features in order to boost the engagement of your clients.
We analyze data and turn it into useful information to help our clients make better decisions. Our data-mining experts will allow you to forge the best strategy for your business using pattern recognition technologies.
Discover our 5 unavoidable big data solutions for small businesses. In fact, the whole word is constantly talking about big data analysis and its impact on businesses. Armed with actionable data, companies can gain a competitive edge. They can also have a comprehensive view of their clients. Thanks to data science, business owners can craft the right products and services for the right clients. In addition to this, data analysis helps you to accurately forecast the preferences of customers. Consequently, big data analysis is also offering solutions to small business. First, let’s start with SAS.
1/What’s SAS ?
You think that a small business doesn’t need data analytics. You better rethink what you have said. In fact, business intelligence is now a must for every company, regardless of its size. Thus, SAS, a leader in business analytics software, provides you with data analytics which help you to make insightful business forecasts. Having this at hand will lead you to a better decision-making. Give your business new perspectives. But what about ClearStory Data ?
Overwhelmed with raw data and unable to grasp the right insights out of it ? Clear story data specializes in uncluttering large bulks of unstructured data. This data intelligence service showcases high quality business insights out of raw data. ClearStory Data works by combining your business’s internal data with publicly available information to help you make better business decisions. The insights are used to evaluate the status quo of the company and prepares the ground for potential positive shifts. Thanks to data mining, you can establish a new road map to work and better visualize your future in the market. Now, let’s move to kissmetrics.
Have you ever heard of ROI? The Return on Investment metric is so important in the research marketing department. It allows you to know that the investment you are undertaking is worth it or no. To measure the effectiveness of your work, you need to keep a track of your marketing actions. Kissmetrics is a leader in terms of data analytics. It is your essential tool to gather data and analyze it for the best of your business. But one second, are we forgetting a leading figure in data science?
4/ Google Analytics:
We can’t talk about data analytics and overlook google analytics ! Google orchestrated this tool to dive into business data and craft precise insights on market forecasts. This is an available web analytics service offered by Google. It reports the traffic of websites. By this, business owners can grasp the needs of their potential clients and reward loyal ones with a loyalty program. Google analytics dashboard is just an initiation to the marvelous impact of data science on your work. It will give you a general overview on the performance of your website. However, you need a more comprehensive vision of what’s going on in your industry. To fulfill this objective, we give you the data mining agency you are looking for.
Steps is one of the pioneering startups in Tunisia specialized in data science. Working with international clients, steps’ data scientists are equipped with the latest technologies to grasp data and destruct it for the best business insights. The projects of Steps range from analyzing water data to sketch predictive analysis for market trends. Thank to the data submitted by clients, data analysts can make sentiment analysis regarding the behavior of specific customers. Want to learn more about this new technology to increase your sales. Contact us now!
The retail industry witnesses a digital revolution. Physical sales are constantly dropping. In fact, people are turning to mobile apps to enjoy online services. Thus, you should turn your eyes to digital expansion to increase sales. By doing this, you will profit from the paramount impact of data analytics in terms of increasing sales.
1/ Satisfy a New Type of Well-Informed Customers:
Data science holds the keys to a brighter future for the retail culture. A new type of customers is taking place in the market. Average clients are disappearing. In fact, well-informed prospects are there waiting for you to amaze them with brilliant offers. It is worth noting that the new digital customers became quite demanding. They expect to find their favourite brands on aesthetically pleasant and functional web apps. Develop for them user friendly apps full of practical information. Make sure your clients find specific criteria like the speed of services and updated web pages. Otherwise, they will automatically turn to other online plateforms to shop online.
2/ Know the Needs of your Clients with Data Analytics:
Retailers should reconsider their digital transformation. They need to join the newly introduced mobile and online channels. Certainly, Data analytics will allow you to grasp the preferences of your customers. It gives you a 360 ° overview of consumers. It analyzes their comments and feedback. Data scientists can tell you what your clients most like and what they disdain.
As a retailer, you should consider seriously the analysis of your clients’ business data. Thanks to this process, data analysts can extract the right reports about the buying decisions of your clients. In addition to this, data mining helps you to segment your clients. Every customer shouldd be treated as a unique experience. Marketers should adress distinct groups.
3/ Predict their Buying Decisions:
Data analytics is your new ally to predict the next buying decision of your customers. As a result, the marketing department of your company will be thankful for your. In fact, steps helps you to devise data mining techniques to assess the sentiments of clients. With the assistance of data-driven decisions, you will be well more equipped to conquer the market. You will be able to grasp the curiosty and logic of clients. In one hand, you will anaticipate the needs of users. On the other hand, you will provoke the anger and envy of your business competitors. Organizing your steps will save you time and costs in your way to satisfy your clients.
4/ Invest in New Digital Channels:
Consumers research products online before moving to the actual step of buying it. They go through a variety of positive and negative comments. Then, they can sketch their final decision about a product. As a result, retailers should invest more on their business digital channels to provoke the curiosity of customers. All along the day, prospects are hooked on their electronical devices. Thus, businness owners should be available for their followers. They need to provide them with the necessary information wherever they are.
5/ Rely on Business Intelligence Reports:
To seduce clients, retailers should not overlook the magic of data analytics to spot the precise preferences of clients. Through the establishment of business intelligence reports, you will be more able to grasp what your clients need at first; no more random miscalculated costy marketing compaigns. Having updated data insights is an essential element in your commercial strategy.
6/ Get a Full Understanding of your Clients:
Regardless the use of crucial business insights, retails still rely unfortunately on archaic methods to evaluate what works best for consumers. These random insignts won’t provide a 360° degree understanding of the customer. For this reason, our data scientists elaborated an effective platform to analyse the appropriate data to generate the adequate reports for your business. Data analytics can also help to show retailers their full costs at a bigger level, right down to the day-by-day expenditure, meaning they can remove unnecessary spend where it is not being utilised and put it towards better uses in areas that provide the highest return of investment.
To conclude, it is essential for retailers to have a customer-focused omnichannel business model. Customers are becoming more and more demanding. They expect more than a retailer stating they have competitive prices. They expect retailers to deliver on these promises. To guarantee a magnificent user experience for your clients, contact us to analyse the necessary data for your next marketing strategy. Reach us on: steps.tn
The water industry adapts data for more efficiency. In fact, the world is witnessing another crisis: water scarcity. Indeed, several conflicts over water resources are marking new headlines. This situation increases the worries of scientists. Even authors such as Steven Solomon expressed their fear in bold words. They incite the stakeholders of the water industry to take serious measures to tackle this threat.
1/ What Do Reports Say ?
Following the 2016 report from the UNEP-hosted International Resource Panel, the demand on water supply will significantly grow by 40 % in 2030. Therfore, these alarming figures will even put more pressure on water utility providers. They should invest double efforts to provide the precious water. We talk about doubling our water consumption in the last century. The increasing demand on water resources is only getting issues more complicated. Thus, the water industry should change and evolve to meet the expectations of the increasing number of customers. The organizations that manage water supplies around the world are facing critical issues. The water scarcity is chief among them.
2/ How Can Data Analytics Save Water ?
Shortage in water supply will negatively affect food chains. It can even bring about lingering economic crises. Consequently, it will hinder economic growth. To put an end to this critical problem, water utilities companies are increasingly resorting to digital platforms and data analytics. Using data mining techniques, they can detect water leakages and improve the use of water resources. According to the latest statistics issued by the World Bank, the world loses about 25-35% of water due to leaks and bursts. The annual value of this non-revenue water (water produced and lost by utilities) is equal to $14 billion. But how can data science alter this situation?
3/ How Do We Operate ?
With the assistance of our business partners, STEPS orchestrated IT solutions to use and interpret data. Using data intelligence services, we manage the extraction and distribution of water resources to customers. Our data analysts orchestrate business insights to bring about new measures to tackle water losses. We can also predict different leaks in distinct locations. Thanks to data mining services, STEPS and its worldwide partners are working to raise awareness about water consumption. We provide data solutions to guarantee a better management of water.
4/ Does Data Science Helps to Detect Leaks?
We gather information about your business. During the next phase, we allow the technical teams to intervene on the site. By this, we can prevent water frauds and leakages. The software provided relevant data like the start time of a leak and when it was fixed, based on real-time information. This situation will bring about more focused investments based on types and frequency of problems in each zone. Data analytics , with its precise predicative analysis, is really changing the face of the water industry.
5/ Want to Profit from this Innovatory Process?
Steps has already worked with more than 167 clients over the world on reducing Non Revenue Water. Thanks to precise data analytics, we worked to detect current frauds and optimize water management. We enable business stakeholders to elaborate faster and more effective responses. Learn more about our activities on steps.tn
Do you know the difference between structured and unstructured data ? In fact, the IT development has brought about a revolution in the perception of data. As Joe Kaeser, CEO of Siemens states it, “Data is the oil, some say the gold, of the 21st century”. Thus, managers should reconsider their way of treating this precious resource. Moreover, data can contribute to the establishment of insightful business reports. It can also be an effective means to save time and costs. In other terms, your company should catch up with the trends of the market. You should delegate the analysis of its data to skilled data scientists. But first how many types of data do we have ?
We distingush 2 types of data:
1/ Structured Data :
In fact, structured data refers to any piece of information that is segmented and stored in pre-defined manner. This type of data exists in different parts. Each piece of input is labeled and stored according to an overarching data model. This phase is the first step of data science. Right after collecting raw data, data miners clean the available material. Thus, the decluttered clouds of information become ready to the data analysis phase. It is worth noting that structured data is much more easier to deal with than raw information. Data miners may also deal with documents that incorporate tags. These latters are used to organize elements of clouds. This data is also referred to as structured data. Data analysts are pleased to deal with this blocks of information. Otherwise, they need to tackle …
2/ Unstructured Data:
In contrast to the previous type of data, unstructured data does not refer to a pre-defined structural model applied to it. It does not include labels or tags appointing to different structural elements within it. When we say data miners deal essentially with unstructured data, we mean that they have mainly textual format in their hands. Data specialists will tell you that this format alludes to texts existing together to create a single file. As a consequence data miners are subjects to unstructured complex textual forms of data.
Unstructured data makes the work of data scientists much harder. It provokes few problems of storage. It can even affects badly the workflow of performance perspectives. In today’s industries, data is power. Data scientis are your partners to better business results. They crunch data to provide you with the
Worried about your company’s data ? Steps engineers are here to take care of it. We collect, analyze and model the best business intelligence reports for you. These reports will put you ahead of your competitors. Steps’ experts will provide with the right scientific tools to prepare your next marketing roadmap. Our data analysts can help you to adjust your data to every business need. In fact, data is impacting every field and becoming the engine that impacts the growth of many industries. Don’t want to get stuck into these large-format data ? You firmly believe in the magic of data analytics ?
Rely on the expertise of our data miners to treat smoothly your complex set of data !