Étiquette : #DATA ENG

Click here to learn more about Sascha Giese. Skilling up becomes more important (and necessary) every day. Tech environments are more complex now than ever before, and they’re only going to become more complex as new technologies emerge and legacy tech remains. Tech pros know they have to develop skills…

Big data has given birth to a number of new applications. Both mobile and desktop devices are able to use more sophisticated applications to serve users in every part of the world. Tech Beacon wrote some very insightful guidelines for people trying to develop applications. Source : https://www.smartdatacollective.com/growing-importance-of-big-data-in-application-monitoring/ Date :…

Our cutthroat digital age has started to implement AI applications in our everyday lives, various industries; and businesses, and sales are no exception. The way how AI is changing sales activities and strategies, affecting customer relations and developing partnerships between sales representatives and AI, recently became a fundamental buzz in…

The influx of disruptive technologies in many industries has brought massive transformation. The healthcare industry is no different when it comes to technological intervention taking over its functioning. Particularly emerging technologies like artificial intelligence (AI), automation, machine learning, etc., have significantly impacted the healthcare sector. Source : https://datafloq.com/read/how-artificial-intelligence-impacting-healthcare/7068 Date :…

How TD Wealth did it. Source : https://hbr.org/2019/10/building-a-culture-that-embraces-data-and-ai Date : October 28, 2019 at 02:19PM Tag(s) : #DATA ENG Share this… Email Facebook Twitter Linkedin Whatsapp Print

The biggest danger to Blockchain networks from quantum computing is its ability to break traditional encryption [3]. Source : https://datafloq.com/read/quantum-computing-blockchain-facts-myths/7082 Date : October 28, 2019 at 02:56PM Tag(s) : #DATA ENG Share this… Email Facebook Twitter Linkedin Whatsapp Print

In the early 2000’s, IBM Deep Blue was on the lookout for its next Grand Challenge.  It had achieved an exhilarating win over chess grand master Garry Kasparov in 1997.  But that was a game with deterministic outcomes where superior processing power gave Deep Blue a significant advantage over even…

The process of software development is rapidly evolving with the emerging new technologies being introduced in the field. In order for any software development service to be reliable and successful, it is necessary for the software development team to keep up with these technologies. Source : http://www.datasciencecentral.com/xn/detail/6448529:BlogPost:902518 Date : October…

Imagine, you are the first data scientist in a company, may be in the industrial company, in one of the old industries, old economy branches. Then, you are a unicorn. Basically, you start data science from the scratch: you must introduce, explain, promote and establish data science. To manage this…

To date, there are more than 830,000 data science LinkedIn profiles registered worldwide. Despite this number of Data Scientists available/in roles online currently, it’s no secret there is still a major talent shortage. In fact, according to a report by O’Reilly Media, nearly half of all European companies are struggling to fill data science positions. Studies performed…

Which statistical method you use to compare data sets depends on two main factors: your overall goal and the type of data you have. Parametric data means that you know the underlying distribution (for example, your data might be normally distributed). Non parametric tests are an option if you don’t know…

No doubt about the fact of how quickly the healthcare industry is progressing each day and is expected to reach Rs. 19,56,920 crore (US$ 280 billion) by 2020. With the pace of development, it has become highly important to manage and take complete care of the patients and other particulars…

Choosing a backup method for data backup requires being aware of the factors that affect data backup in the short and long term. Having an off-site backup ensures that the data is far enough away from a local incident so that the business can recover normal function quickly. However, when…

Large enterprises running big data ETL workflows on AWS operate at a scale that services many internal end-users and runs thousands of concurrent pipelines. This, together with a continuous need to update and extend the big data platform to keep up with new frameworks and the latest releases of big…

Data Leadership – Stop Talking About Data and Start Making an Impact! from DATAVERSITY To view just the On Demand recording of this presentation, click HERE>> Original Air Date: October 22, 2019 About the Webinar For any organization to be successful, whatever we do with data must connect to meaningful…

Data mining, a process that involves identifying patterns and anomalies in large data sets, is widespread among many of today’s companies. Experts predict the big data market will reach $103 billion in revenue by 2027, far exceeding 2019’s predicted $49 billion. Source : https://datafloq.com/read/5-real-applications-of-data-mining/7067 Date : October 25, 2019 at…

The goal of Industry 4.0 is deceptively simple: maximize efficiency and profits, operate a leaner organization and, wherever possible, introduce automation in areas that humans find dangerous or repetitive. Source : https://www.smartdatacollective.com/big-data-challenges-of-industry-4-0-worth-considering/ Date : October 25, 2019 at 11:51AM Tag(s) : #DATA ENG Share this… Email Facebook Twitter Linkedin Whatsapp…

This is part of a series of posts about the ‘little of visualisation design’, respecting the small decisions that make a big difference towards the good and bad of this discipline. In each post I’m going to focus on just one small matter – a singular good or bad design…

4 key considerations to deliver real business value for AI — and avoid AI and ML intitiatives that fail to operationalize and lead to dead ends.Read More Source : https://venturebeat.com/2019/10/25/how-to-succeed-with-ai-and-machine-learning-at-scale/ Date : October 25, 2019 at 02:05PM Tag(s) : #DATA ENG Share this… Email Facebook Twitter Linkedin Whatsapp Print

Data security in tomorrow’s organisations will be fundamentally different than data security today. If you believe that data security today is a challenge, you will be surprised what it will be tomorrow. As I have said many times over: every organisation will be hacked, and if you are not yet…