The new staff flew around the office, performing regular tasks like obtaining coffee, delivering meals, and passing off stuff. They didn’t get in the way of anyone or breach anyone’s personal space. They waited for elevators unobtrusively and politely. And, perhaps most importantly, they did not complain.
For some months, Naver, a South Korean internet company, has been experimenting with incorporating robots into office life. A fleet of roughly 100 robots drives around on its own within a futuristic, starkly industrial 36-story high-rise on the outskirts of Seoul, travelling from floor to level on robot-only elevators and occasionally close to humans, rolling past security gates and accessing meeting rooms.
Naver’s web services network, which includes a search engine, maps, email, and news aggregation, is powerful in South Korea, but it lacks the global reputation of a corporation like Google. The organisation has been looking for fresh expansion opportunities. It agreed to pay $1.2 billion for Poshmark, an online secondhand store, in October. Now, Naver sees the software that runs robots in corporate offices as a product that other companies might want in the future.
Robots have found a place in various workplaces, like factories, retail, and hospitality, but they are mainly missing from the cubicle and conference room world. There are some difficult privacy issues: Experts warn that a machine brimming with cameras and sensors roving business hallways may become a nightmarish weapon of corporate monitoring if exploited. It is also challenging to design an environment in which machines may move freely without disrupting employees.
According to Naver, the robots are purposely “brainless,” which means they are not rolling computers.
However, Naver has performed extensive research to guarantee that its robots, which imitate a rolling garbage can, look, move, and respond in a way that employees find comfortable. Furthermore, it hopes to lay the framework for future office robots while developing its own robot privacy standards.
Employees at technology companies are frequently encouraged to test their own products, but with its robots, Naver has transformed its entire office into a development and research lab, employing its workers as test subjects for future workplace solutions.
When Naver workers drive to the office, which was completed this year, the corporation automatically sends them parking reminders via the workplace app. Employees pass through face recognition security gates while masked to avoid the spread of the coronavirus. Artificial intelligence software recommends areas of attention for employees’ annual health exams at Naver’s in-house health clinic.
Naver began construction on the office in 2016 after designing it from the bottom up with robots in mind. When a robot arrives, every door is designed to open. There are no small corridors or other obstructions on the floor. To assist the robots in orienting themselves, the ceilings are tagged with numbers and QR codes. Robot delivery lanes are available at the cafeteria.
Sketch Your Way Into Coding! Notate Will Sure It’s Accurate
The pen-based interface, called Notate, lets users sketch in computational, digital notebooks
Cornell University researchers have created an interface that allows users to handwrite and sketch within computer code—a challenge to conventional coding, which typically relies on typing. The pen-based interface, called Notate, lets users of computational, digital notebooks open drawing canvases and handwrite diagrams within lines of traditional, digitized computer code.
Powered by a deep learning model, the interface bridges handwritten and textual programming contexts: notation in the handwritten diagram can reference textual code and vice versa. For instance, Notate recognizes handwritten programming symbols, like “n”, and then links them up to their typewritten equivalents.
“A system like this would be great for data science, specifically with sketching plots and charts that then inter-operate with textual code,” said Ian Arawjo, lead author of the paper and doctoral student in the field of information science. “Our work shows that the current infrastructure of programming is actually holding us back. People are ready for this type of feature, but developers of interfaces for typing code need to take note of this and support images and graphical interfaces inside code.”
Arawjo also said the work demonstrates a new path forward by introducing artificial intelligence-powered, pen-based coding at a time when drawing tablets are becoming more widely used. “Tools like Notate are important because they open us up to new ways to think about what programming is, and how different tools and representational practices can change that perspective,” said Tapan Parikh, associate professor of information science and paper co-author. Information on the tool was published in the proceedings of The 35th Annual ACM Symposium on User Interface Software and Technology.
The post Sketch Your Way into Coding! Notate Will Sure it’s Accurate appeared first on Analytics Insight.
Educational Institutions: How To Ensure Data Security
Collecting sensitive data from thousands of students and employees, education is one of the sectors most vulnerable to data breaches. With limited cybersecurity budgets and know-how, schools are an easy target for cybercriminals and are especially prone to employee carelessness. However, increasingly strict regulations are making data protection mandatory in education as well, to protect students’ and employees’ personal information.
Human error is responsible for 26% of all data breaches in education. An email with personal student information accidentally sent to the wrong person or to all the individuals in an email thread already represents a violation. Hackers can also easily gain access to school networks through university library computers and infect them using malware-riddled USBs.
To ensure data protection compliance and security, educational institutions need to ensure that basic cybersecurity measures such as antivirus solutions and firewalls are adopted. However, to prevent data leaks and address employee carelessness, educational institutions need to go one step further and look at Data Loss Prevention (DLP) solutions.
Control and monitor sensitive data directly
DLP solutions have become a critical component of educational institutions’ data protection efforts. They allow educational institutions to monitor and control the sensitive data they collect through predefined policies for personal information.
Using contextual scanning and content inspection, DLP solutions can identify sensitive data in over a hundred file types, blocking its transfer through insecure channels such as popular messaging apps, file-sharing services, or personal emails. DLP tools can also prevent sensitive data from being copied and pasted or printed. Any attempts to violate DLP policies are logged and reported, helping educational institutions identify bad data protection practices or common unauthorized data exit channels.
Control removable devices
As previously mentioned, USBs can be used by cybercriminals as infection tools and as a way to bypass login screens and gain access to a computer. However, the infection can also happen unintentionally when a student connects a USB to a school computer, unaware their device has been infected. When sensitive data is copied onto a USB, it also becomes vulnerable to loss as USBs are notoriously easy to lose or forget.
DLP solutions come with device control policies that help educational institutions limit or block the use of portable devices. The use of USBs can thus be limited to trusted devices such as school-issued USBs, and any sensitive data transfers onto removable devices can be flagged, giving educational institutions a clear insight into who has attempted to transfer sensitive data, when, and with which device.
Protect sensitive data on all operating systems
Students and employees often use their personal devices to connect to school networks. These devices run on diverse operating systems, not just on Windows, and often include macOS and several Linux distributions. To ensure continuous data protection, educational institutions need to consider cross-platform cybersecurity solutions that can be managed from a single interface.
Such centrally administered solutions offer two major advantages. They reduce costs as a single solution replaces several specialized tools for different operating systems. They also simplify data protection management when IT personnel is limited. Often one person is enough to manage them. However, educational institutions choosing to go the cross-platform route need to ensure that the solutions they choose offer feature parity for all operating systems and don’t have limited applicability to other operating systems apart from the primary one they were initially designed for.
Filip Cotfas, Channel Manager, CoSoSys
The post Educational Institutions: How to Ensure Data Security appeared first on Analytics Insight.
Land Your Dream Data Job! Choose GIM’s Big Data Analytics Programme Now
Enrolling in GIM’s big data analytics programme would enable aspirants to meet changing data paradigms
The concept of big data is not new anymore. The integration of big data analytics in business operations is helping leaders gain productive insights into new questions and tasks that data owners did not even know were possible earlier. A lot of research dealing with big data is emerging now. Plenty of startups are offering to extract their values from data and provide valuable insights. However, the most important aspect of deploying big data analytics in a productive manner is to employ skilled and talented candidates who can ace the information yielded from these datasets and wield strategies that can help these leaders gain an edge in the market.
Candidates aspiring to become skilled data professionals have to master various domains that are involved in big data, like data analytics, business intelligence, and others. The demand for efficient big data professionals is rapidly growing in the tech market, hence, institutions all over the world are racing to create an ecosystem that enables organizations to conduct real-time, data-driven decision-making. Besides, big data careers offer lucrative financial compensation, which is one of the many reasons why more and more tech aspirants are joining the big data domain in the current scenario.
Well, in a nutshell, the job landscape in the tech ecosystem has changed abundantly. And one of the most trailblazing educational institutions that are tapping into the futuristic potential of the industry is the Goa Institute of Management. The institution is advancing the development of future-ready, data-fluent managers, who will be fully equipped to manage the evolving industrial paradigms and accelerate data-driven decision-making processes.
A Roadmap to the Programme
The Goa Institute of Management is among the top premier business institutes in India that aims to offer students and faculty an ideal environment for gathering and imparting knowledge. The futuristic infrastructure and facilities provided by the institute ensure that the enrolling candidates stay ahead of the industry demands and that the faculty get all the resources available that will help them impart knowledge effectively.
GIM’s Big Data Analytics course has made a significant impact on the big data industry. The program is basically designed to impact the students with an adequate understanding of different areas of management with a focus on the application of big data analytics tools and techniques that can solve complex business problems. This big data analytics course is a combination of management and analytics subjects that ultimately manifests in students as modern skills that will give them a competitive edge by upskilling them through both data fluency and business sense. Besides these facilities, the program also provides a unique 5-month internship program that will aid students to gain practical work experience and deal with real-time data silos. Students learn in an environment that serves as an incubator for future managers under the guidance of knowledgeable teachers.
You can apply at https://forms.gim.ac.in/ to enroll in this programme.
Various Approaches to Inculcating Knowledge
The Goa Institute of Management integrates various approaches to impart knowledge in the best ways possible.
- A 40:60 blend of business experience and big data analytics-related experience make up the program’s architecture.
- Students are assisted in acquiring the skills and internalizing the values that will enable them to function as effective leaders in distinct companies.
- The curriculum also includes significant case-based learning, simulations, seminars, and practical hands-on training. There are also individual and group tasks, as well as thorough exposure to real-work business issues through on-site initiatives.
- In order to make the program even more lucrative, the course is thoughtfully created using feedback from consultants, teachers, and a cross-section of top industries in the domain of analytics.
GIM Acquired 100% Placement for its PGDM- Big Data Analytics Batch of 2023
The 2023 PGDM- Big Data Analytics class at GIM has announced 100% placements, with the highest CTC at INR 40.2 lakhs per annum. Based on previous reports and as speculated by multiple tech analysts, the size of the big data market is predicted to increase dramatically, hence, the average pay for big data managers at GIM has increased by more than 30% from the previous one. Earlier, the average CTC was INR 17.2 lakhs per annum.
GIM’s primary goal is to help develop efficient professionals who are adept with data and are prepared to handle the evolving paradigms of data-driven decision-making.
The post Land Your Dream Data Job! Choose GIM’s Big Data Analytics Programme Now appeared first on Analytics Insight.
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