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At Antwak, we interview Product Managers (PM) across the globe about their experiences and professional journey as Product Manager. How do they handle multiple tasks and responsibilities? What is a day in the life of a Product Manager like? Have you ever wondered what do Product Managers care about? And what Product managers need to know? Let's check out what these successful professionals say about their life as a Product Manager: Gretchen (Gretchen Rodriguez) - Sr Product Manager eBay: She shared the challenges she faced in this role while doing product management before moving to the US. During that period the job title Product Manager was not that popular and was wondering how to proceed and that's when she decided to wait for the opportunity to apply for this role to get this job title and role specifically to start officially. It was a challenge to wait to get this role after a long wait. But again it was worth waiting. Sr. Product Manager Abhishek (Abhishek Shukla) -Adobe, Ex- Flipkart shared the challenges he faced in setting up a new product in his first 30 days. He focused on learning about the product and market in the first 30 days to achieve success. Learning about the product is not simply knowing product details but the challenges and uncertainties attached to it. Knowing about your customers, vendors, marketers, competitors, stakeholders in the ecosystem as a whole. Strive to determine your place in the ecosystem and your competitor's strategies. Apart from these takeaways, one should also focus on the company's core competencies and product strategies. Product Manager-Preeti Sekar also speaks about the challenges an early professional might face in this role as a PM in the first 30 days. A person might be from a different domain, profile, and experience and new to this role facing all sorts of criticism and feedback from customers, stakeholders, etc, and eventually one can settle themselves with the roles and responsibilities of a Pr

IDENTITY AND ACCESS MANAGEMENT Identity and access management (IAM) is a collective term that covers merchandise, processes, and policies for managing user identities and regulating user access in the company. Access and User are two very important IAM theories. Access refers to the permission or authorization given to access a file (read, create or modify a doc). Users can be employers, auditors, suppliers, contractors or customers. How Identity and Access Management works IAM systems are intended to perform three key undertakings: identity, authenticate, and authorise. This means, just the right people ought to access PCs, equipment, software applications, any IT assets, or perform certain tasks. IAM components forming up an IAM system include: 1. A data set containing users identities and access privileges. 2. IAM instruments for creating, observing, modifying, and deleting access advantages. 3. A system for inspecting login and access history. 4. The list of access privileges needs to be updated including new entry users and for users whose roles are ever-changing. 5. IAM works generally fall under IT divisions or sectors that handle Cybersecurity and data management. Examples of Identity and Access management Here are instances of IAM at work. When a user tries to log in to the system, the system checks his identity with the data saved in the database. Once the user is identified after authentication as the right user, he's permitted to post his work. A person who works as a contributor to content management has full access to make changes in the database. A production operator can see an online work process however may not be permitted to modify it. Through IAM, specific clients in the association are permitted to access and deal with sensitive data. And if there's no IAM, anybody (like unauthorised ) could get to confidential organization records, prompting a potential data breach. In this viewpoint, IAM assists organizations with meeting rigid

Product Management could be your key to move out of a stagnating career. At times many of us may feel that we are stuck in a profession, in a job role, or in an organization that is not for us. It may feel like it is not our true calling. Well, then why waste time? Make a career switch into a career of your choice. Muster the courage and make the move. If Product Management is your likely choice, then this is the right blog for you. If not, then why not explore what is it like to be a PM! (Product Manager not Prime Minister) So, what would you be doing as a PM? Wearing multiple hats. As a Product Manager, you have to wear different hats at different times. Be a Psychologist - Embark upon a journey to empathize and understand consumer needs and challenges Be a Consumer Behaviour expert - Leave no stone unturned to mine latent consumer insights Be a Marketeer - Use frameworks to gauge the perfect product-market fit Be a Diplomat - Negotiate with and influence relevant stakeholders to obtain desired results Be an Architect and an Interior Designer - Build and design products that address consumer pain-points effectively and transpires into a practical and scalable solution Be a co-ordinator - Guide and Direct cross-functional teams to deliver timely results in sync with the overarching objective Be a crisis manager - Diagnose the situation, identify hurdles and be agile in resolving them while the product is being tested in the market Be a Relationship Manager - The duty of a PM does not end as soon as the product is launched. It extends further to keep creating and nurturing a delightful experience for the customer. Now, you're aware of the roles you are likely to perform. What about the skills required to fulfil them efficiently? Well, most experienced PMs emphasize on soft skills being the differentiator between a good and a great PM. Let's have a look at the most essential hard and soft skills required to be a product manager: Com

I'm a so-so fan of Skype. I've used it on an infrequent basis and have had more than a few dropped calls. Audio and video alike. However, it's a cheap way to make long distance calls and seems to work better over wi-fi and the video quality is improving on a regular basis. So therefore it's probably a great tool for the classroom. But how can you use Skype to do more than just make calls? Well, there's a pantload of interesting ways! Check out these fun ideas: Collaborate! Meet with other classrooms: One of the most common projects educators utilize Skype for is setting up exchanges with classrooms around the world, usually for cultural exchange purposes or working together on a common assignment. The program's official site provides some great opportunities to meet up with like-minded teachers and students sharing the same goals. Practice a foreign language: Connect with individual learners or classrooms hailing from a different native tongue can use a Skype collaboration to sharpen grammar and pronunciation skills through conversation. Peace One Day: Far beyond classroom collaborations, the Peace One Day initiative teamed up with Skype itself and educators across the globe to teach kids about the importance of ending violence, war, and other social ills. Around the World with 80 Schools: This challenge asks participating schools to hook up with 80 worldwide and report back what all they've learned about other cultures and languages. Talk about the weather: One popular Skype project sees participants from different regions make note of the weather patterns for a specified period of time, with students comparing and contrasting the results. Collaborative poetry: In this assignment, connected classrooms pen poetic pieces together and share them via video conferencing. Practice interviews: The education system frequently receives criticism for its failure to prepare students for the real world, but using Skype to help them run through mock-up

Martin Ingram Virtually Everything More posts | Read bio December 28, 2010 - 3:09 P.M. The economics of desktop virtualization 4 Comments TAGS:desktop virtualization, enterprise, finance, government, healthcare, hosted desktop virtualization, PC IT TOPICS:Cloud Computing, Cybercrime & Hacking, Desktop Apps, Emerging Technology, Healthcare IT, Laptops & Netbooks, Virtualization, Windows With Thanksgiving and Christmas behind us and the New Year upon us, it is time to take stock and see what changed for desktop virtualization in 2010.  One thing is very clear: We have moved from desktop virtualization being 'about to take off' to 'has taken off' -- the evidence for this is pretty clear in the number of licenses sold. With volumes sold in the low millions, desktop virtualization is way beyond the tryout and pilot stage. However, desktop virtualization is not yet for every user. There are a number of areas where it's still not a good fit. For example, a user who does not always have access to the Internet from his or her laptop may not be able to use a hosted virtual desktop. This is a problem that will be addressed by client hypervisors in coming years. These provide the management benefits of desktop virtualization to the intermittently connected user. For now, they are very new but will become critical for mobile workers and may also have a major role to play in bringing down the costs of desktop virtualization for non-mobile users as well. Of perhaps more concern is the question of the economic basis for hosted virtual desktops. This has recently become more visible thanks to Microsoft's paper 'VDI TCO Analysis for Office Worker Environments,'  which compares the total cost of ownership of traditional PCs and their virtual desktop alternatives. Their conclusion is that hosted virtual desktops are more expensive to deliver than a traditional, well-managed PC. There are a number of interesting points and conclusions to draw from this document. Firstly, Micros

Nairobi 2010 Conference Reoprt  Climate Change and Natural Resource Use in Eastern Africa: Impacts, Adaptation and Mitigation Report of the 3rd Scientific Conference of the Ecological Society for Eastern Africa (ESEA) and co-hosted with the Pan African Climate Justice Alliance (PACJA) at Multimedia University College, Nairobi, 19 - 21 May 2010 By Nicholas Oguge, Caroline Lumosi, Teddy Odindo, Joseph Ngondi and Philista Malaki October 4, 2010 Summary While the Earth's climate has changed throughout history, the current warming trend has been of particular concern because most of it is human-induced and proceeding at a rate that is unprecedented.  One of the greatest concerns of this global warming is climate variability and change.  The risks associated with climate change add to development challenges such as food and water insecurity. Although climate change is only one of the many drivers negatively affecting biodiversity and ecosystem services, it certainly exacerbates the other factors such as land degradation and unsustainable natural resource use. There is general concern on the accelerating deterioration of the human environment and natural resources. This would widen poverty levels confronting eastern African countries and threaten gains made towards achieving the Millennium Development Goals. Thus, the Ecological Society for Eastern African organised its 3rd annual scientific conference with a theme addressing this global challenge.  The idea was to bring together researchers, policy makers and the general public together to discuss the climate change phenomena, its impacts, mitigation strategies and adaptation measures with regard to natural resource use in Eastern Africa. In order to address above issues and to reach out to a wider audience, we designed the conference strategically on three tiers:   1. Plenary talks: to provide policy information and direction, science on climate change, ecological and socio-economic effects, how to commun

Home > Data Science > How to learn Data Science in 2021? Data Science (DS) is a great, promising, and most demanding career. But are you confused about being a beginner and wanna know the Right Way to Learn DS? Technology is more into digitisation and due to this extensive transformation, huge data is expected to be produced in the coming future. To make use of such big data we need data scientists who can layout, design and filter the data in an organized way. All things considered, with a huge number of options available choosing the correct curriculum program and admission to the right institute is important. Besides all this, the course and institute to be suitable for your requirement are extremely difficult. While online courses are an incredible path for some to upskill, good opportunities from top colleges and universities are the platform for data scientists to test their knowledge in their field. Here are the five essential guidelines to turn into an expert in Data Science: Get a Data Science certificate or similar degree To get an opportunity as an entry-level data researcher, one would require a four-year certification in DS, math, insights and software engineering. Degrees can likewise give temporary job openings. All things considered if you have just secured a 4 yr certification in a different background through online e-courses or basic boot camps and workshops. The focus should be given to mastering the skills required for DS. Take a look at this course from AntWak on Data Engineering delivered by top global experts. Take comprehensive courses and devote time to learning You can become a top-class data researcher by taking a full course at a time. It will be the skill and instruments needed to turn into a data researcher, many critical projects and coaching help. A variety of such courses are available online that offer top to bottom analysis of subjects, for example, data scratching, AI, big data analysis and many more. To begin your learning

"Ever consider how asynchronous online students manage their time? Ever receive emails about the online workload? The following 5 tips might help online students adjust to your online learning environment and prevent burn out. "

The term Product Life Cycle (PLC) refers to the time period of a product being introduced to consumers into the market until it's removed from the scene. Five stages in PLC: Development- At this stage, costs are assembled with no parallel revenue. Some products require years and large capital investment to develop and then test their value. Since risk is high, outside funding sources are limited. Introduction- This stage is about growing a market for the product and building product awareness. At this stage marketing costs are high, as it's necessary to reach out to the target audience, also intellectual property rights protection is obtained. Product pricing may be high to recover costs linked to the development stage and funding for this stage is typically through investors. Growth- The product has been accepted by customers, and companies are seeking to increase market share. For innovative products, there is little competition at this stage, so pricing can remain at a higher level, both product demand and profits increase, and marketing is aimed at a wide audience. Funding for this stage is generally still through lenders or through increasing sales revenue. Maturity- Sales will stabilize, competition increases, so product features may need to improve to maintain market share while unit sales are at their highest at this stage, prices tend to reduce to be competitive. Production costs also tend to reduce because of more efficiency in the manufacturing procedure. Companies usually do not need additional funding at this stage. Decline- This is associated with decreasing revenue due to market saturation, high competition, and changing customer needs. Companies may choose to discontinue the product, sell the manufacturing rights to another business. This is the stage where the packaging will often announce "new and improved." PLC (Product Life Cycle) Watch AntWak's Ultimate PLC Management Guide videos by Real Life Professionals for better unders

FORE School of Management (FSM), New Delhi has invited applications for admission to 2years full-time Post Graduate Diploma in Management (PGDM) Program in General and International Business (IB) for 2016 session. The applicants must hold bachelors degree with minimum 50% marks in aggregate of all the subjects studied at any universities.

In a business world where change is constant, knowledge becomes an essential asset for any organization. Survival and growth require the development of solutions that will optimize collaboration and knowledge management.\n\nFocussing on this topic we recently produced our first whitepaper. It analyses the benefits associated with the introduction of Enterprise 2.0 solutions, and positions the collaborative management of knowledge as a stable and lasting solution, especially in these times of economic tumult.

How to Prepare for a Data Scientist Interview? Are you struggling to get into data science and wondering what the interviews will be like? You might even know data science. You might also know about Data Science tools and techniques but still getting rejected in the interviews. It is essential to brush up your skillset to become a Data Scientist in demand. These are some times where many of us are hoping to change or find some job. Interview preparation has become an important step to land a good job. What's more, interviews are a serious thing for everybody. Uncertainty, randomness, and human blunders make an interview damn unnerving. Preparing for an interview is the only way to limit your misfortunes during an interview. Here's the step by step guide for Data Science Interview Process The Interview process begins directly from the point you begin investigating the various job positions that allure you. Furthermore, it goes up to the stage of in-person (face to face) interviews. Remember that this is a crucial interview procedure. You probably won't need to experience every single step in your interview procedure. Comprehend and follow the Different Roles, Skills and Interviews Update your Resume and Start Applying! Telephonic Screening Clearing the Assignments In-Person Interaction(s) Post-Interview Steps The above-mentioned steps will be helpful all through your Interview preparation! Know about different Roles, Skills and Interviews in Data Science The main thing you need to comprehend is that there are many jobs in the data science environment. An average data science project has a life cycle. A data scientist is just one part of an effective data science project. Let's check out a quick run-through of different data Scientist job roles. Data Scientist Business Analyst Data Analyst Data Visualizer Analyst Data Science Manager Data Architect AI Engineer PC Vision Engineer

It has been stated in the Unified Threat Management assignment that the data and network security has become critical for the business organizations in the present times. It is essential that the organizations implement new policies and mechanisms to protect the data sets.

Threaded discussion is an old technology. It's inspiring to think of new ways we can talk together at a distance that allow integration of both synchronous and asynchronous technology. I often thing we'll look back on the course management systems we use today and think of them as something like a 300 baud modem. Eyes Front! What's over the horizon line?

Here's the step by step guide for Data Science Interview Process The Interview process begins directly from the point you begin investigating the various job positions that allure you. Furthermore, it goes up to the stage of in-person (face to face) interviews. Remember that this is a crucial interview procedure. You probably won't need to experience every single step in your interview procedure. Comprehend and follow the Different Roles, Skills and Interviews Update your Resume and Start Applying! Telephonic Screening Clearing the Assignments In-Person Interaction(s) Post-Interview Steps The above-mentioned steps will be helpful all through your Interview preparation! Know about different Roles, Skills and Interviews in Data Science The main thing you need to comprehend is that there are many jobs in the data science environment. An average data science project has a life cycle. A data scientist is just one part of an effective data science project. Let's check out a quick run-through of different data Scientist job roles. Data Scientist Business Analyst Data Analyst Data Visualizer Analyst Data Science Manager Data Architect AI Engineer PC Vision Engineer You need to have great correspondence and critical thinking skills. You need not know Python and technicals skills. A data architect will probably be tested on his/her programming skills. Get prepared as per the company's expectations. Prepare for the interviews- Create your Digital presence Over 80% of employers we addressed revealed that they check an applicant's LinkedIn profile. Recruiters need to crosscheck and assure the claims made in the resume are genuine or not. You ought to have a LinkedIn profile. It ought to be updated and enhanced by the role(s) you're applying for. Make a GitHub account. Writing computer programs is a crucial task in the data science job role. Transferring your code and ventures to GitHub helps the recruiters see your work directly. Regularly

Classroom management has always been under the spotlight for many years in view of it's critical importance in academic achievement.In our time being, I think this issue is getting much more momentum as the students' misbehaviour is on the increase.Getting productive educational results is, assuredly,the desire of any teacher ,and the only way to achieve this is through managing your student's behaviour effectively.In this regard, i am sharing with you 5 tips I consider effective and practical for class management 1.

Jon Mott recently published an article in EDUCAUSE Quarterly on Envisioning the Post-LMS Era. Jim Groom captures the reactions of individuals who have been exploring the link between learning management systems and personal learning environments. There is a sense - and I'll admit I felt it as well in reading the article - that many long-time contributors to the discussion were not referenced in the article. In theory, the review process should draw attention to important omissions of literature. However, most reviewers would likely not see the spaces (blogs) where much of the conversation happens before it jumps into mainstream as good sources. I've posted below that I wrote while at University of Manitoba addressing the LMS/PLE issue. I'm not sure how long an archive of their copy will exist, so posting it here might give it a bit more of an existence.

Ask any teacher what they wish they had more of and the most common answer is likely to be time. Schools are inherently busy places and there is always much to be done. We all want to meet the needs of every student, add value to their education with breadth and depth, ensure adequate coverage of the curriculum and include aspects of play and discovery. Add up all that is done in a day over and above face-to-face teaching and you can only wonder at how we manage to fit it all into the time we have. So is there an answer to this dilemma, is there a secret method to finding more time in our schedules to achieve all that we want to?

Sometimes, it seems the class you are teaching is more than you can cope with. The truth is all teachers face times like this. The sad part is that many good teachers decide that the best move for them in these times is to leave the profession; a trend we need to fix. 

Existing financial management approach explored in the Stott's Pty Ltd case study is capable enough to calculate the budgets in different forms but the process is time consuming.