Press "Enter" to skip to content

Introduction to EU GDPR

The General Data Protection Regulation (GDPR) (EU) 2016/679 is a regulation in EU law on data protection and privacy for all individuals within the European Union. It addresses the export of personal data outside the EU. The GDPR aims primarily to give control to citizens and residents over their personal data and to simplify the regulatory environment for international business by unifying the regulation within the EU.

It was adopted on 27 April 2016. It becomes enforceable on 25 May 2018, after a two-year transition period. The GDPR replaces the 1995 Data Protection Directive. It affects everyone who lives in the EU and any company that does business in the EU or has consumers in the EU, which in 2018 is nearly everyone.

Even if you don't live in Europe, or if your company isn't based in Europe, this is a good chance these rules will still apply to you, or have an affect on the tools you use every day. The EU General Data Protection Regulation (GDPR) is the most important change in data privacy regulation in 20 years. The Industries catering the European customers should be aware of the law and the implications if this is not being followed.

Read more about "Introduction to EU GDPR" course:


Deep Learning & Computer Vision

"Machine Learning is the science of getting computers to learn and act like humans do, and improve their learning over time in autonomous fashion, by feeding them with data and information in the form of observations and real-world interactions."

Deep learning is a machine learning technique that teaches computers to do what comes naturally to humans: learn by example. Deep learning is a key technology behind driverless cars, enabling them to recognize a stop sign, or to distinguish a pedestrian from a lamppost. It is the key to voice control in consumer devices like phones, tablets, TVs, and hands-free speakers. Deep learning is getting lots of attention lately and for good reason. It's achieving results that were not possible before. In deep learning, a computer model learns to perform classification tasks directly from images, text, or sound. Deep learning models can achieve state-of-the-art accuracy, sometimes exceeding human-level performance. Models are trained by using a large set of labeled data and neural network architectures that contain many layers.

*Deep Learning is a subfield of machine learning concerned with algorithms inspired by the structure and function of the brain called artificial neural networks.

Computer Vision is a field of computer science that works on enabling computers to see, identify and process images in the same way that human vision does, and then provide appropriate output. It is like imparting human intelligence and instincts to a computer. In reality though, it is a difficult task to enable computers to recognize images of different objects. Computer vision is closely linked with artificial intelligence, as the computer must interpret what it sees, and then perform appropriate analysis or act accordingly. Computer vision is concerned with the automatic extraction, analysis and understanding of useful information from a single image or a sequence of images. It involves the development of a theoretical and algorithmic basis to achieve automatic visual understanding.

The applications of computer vision are numerous and include: agriculture, augmented reality, autonomous vehicles, biometrics, character recognition, forensics, industrial quality inspection, face recognition, gesture analysis, geoscience, image restoration, medical image analysis, pollution monitoring, process control, remote sensing, robotics, security and surveillance, transport and more...


Read more about our Deep Learning & Computer Vision course:

טיפ 5 – מחשוב ענן מינוף ושיפור יכולות הארגון

זהו, הגענו לטיפ האחרון 5#

אז איך מעבר למחשוב ענן יכול למנף הזדמנויות, להקטין סיכונים ולהתייעל מבחינה עסקית? גלו בסרטון המסכם.

מקווים שהצלחת להפיק את המירב ולמקסם את יכולות הארגון שאתם עובדים בו!

למידע נוסף צרו קשר:


Cloud Security Essentials

Cloud Security is one of the most discussed topics among IT professionals today. And not too long into any conversation about the most highly touted cloud models software as a service (SaaS), infrastructure as a service (IaaS) or platform as a service (PaaS) the talk often turns to cloud security.

The growing adoption of cloud services will increase the demand for security professionals who can apply the proper controls to public, private, community and hybrid cloud models. Also, cloud service providers, organizations adopting cloud services and professional service firms assisting with cloud management and implementation will all need qualified cloud professionals. As organizations replace traditional IT architectures with cloud models, cloud expertise will move from a "nice to have" capability to a "must have."

Read more about our Linux Fundamentals course here:


מחשוב ענן גיבוי והתאוששות מאסון

טיפ 4# - מחשוב ענן גיבוי והתאוששות מאסון

בעבר הרחוק היה נהוג לבצע גיבוי באתר הארגון המקומי אבל אחרי מקרים בהם אבד מידע יקר לצמיתות ונוצר קושי רב בהתאוששות הארגון במקרה של אסון, החברות גדולות החלו מבצעות גיבויים באתרים מרוחקים.

איך גיבוי ענן עוזר לנו במקרים כאלו? גלו בטיפ4#

טיפ 3# אבטחת מידע – Cloud Computing

היום בטיפ 3# אבטחת מידע.
פריצות אבטחה הן האיום הרגיש שכל ארגון חושש ממנו, קיימות מגוון רחב של תקלות ובעיות שיכולות לקרות ללא התראה ולכן חשוב לוודא שהשירותים שארגונכם צורך מאובטחים. בסרטון הבא תראה איך מחשוב ענן יכול לסייע לך.