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Ben Horowitz (What You Do Is Who You Are: How to Create Your Business Culture)
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David Farley (Continuous Delivery: Reliable Software Releases through Build, Test, and Deployment Automation)
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Walter Isaacson (Elon Musk)
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Change always starts at home. The only person you can actually change is yourself. No matter how functional or dysfunctional your organization, you can begin applying XP for yourself. Anyone on the team can begin changing his own behavior. Programmers can start writing tests first. Testers can automate their tests. Customers can write stories and set clear priorities. Executives can expect transparency. Dictating practices to a team destroys trust and creates resentment. Executives can encourage team responsibility and accountability. Whether the team produces these with XP, a better waterfall, or utter chaos is up to them. Using XP, teams can produce dramatic improvements in the areas of defects, estimation, and productivity.
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Kent Beck (Extreme Programming Explained: Embrace Change (The XP Series))
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Question every requirement. Each should come with the name of the person who made it. You should never accept that a requirement came from a department, such as from “the legal department” or “the safety department.” You need to know the name of the real person who made that requirement. Then you should question it, no matter how smart that person is. Requirements from smart people are the most dangerous, because people are less likely to question them. Always do so, even if the requirement came from me. Then make the requirements less dumb. 2. Delete any part or process you can. You may have to add them back later. In fact, if you do not end up adding back at least 10% of them, then you didn’t delete enough. 3. Simplify and optimize. This should come after step two. A common mistake is to simplify and optimize a part or a process that should not exist. 4. Accelerate cycle time. Every process can be speeded up. But only do this after you have followed the first three steps. In the Tesla factory, I mistakenly spent a lot of time accelerating processes that I later realized should have been deleted. 5. Automate. That comes last. The big mistake in Nevada and at Fremont was that I began by trying to automate every step. We should have waited until all the requirements had been questioned, parts and processes deleted, and the bugs were shaken out. The algorithm was sometimes accompanied by a few corollaries, among them: All technical managers must have hands-on experience. For example, managers of software teams must spend at least 20% of their time coding. Solar roof managers must spend time on the roofs doing installations. Otherwise, they are like a cavalry leader who can’t ride a horse or a general who can’t use a sword. Comradery is dangerous. It makes it hard for people to challenge each other’s work. There is a tendency to not want to throw a colleague under the bus. That needs to be avoided. It’s OK to be wrong. Just don’t be confident and wrong. Never ask your troops to do something you’re not willing to do. Whenever there are problems to solve, don’t just meet with your managers. Do a skip level, where you meet with the level right below your managers. When hiring, look for people with the right attitude. Skills can be taught. Attitude changes require a brain transplant. A maniacal sense of urgency is our operating principle. The only rules are the ones dictated by the laws of physics.
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Walter Isaacson (Elon Musk)
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Walter Isaacson (Elon Musk)
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”
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Walter Isaacson (Elon Musk)
“
I became a broken record on the algorithm,” Musk says. “But I think it’s helpful to say it to an annoying degree.” It had five commandments: 1. Question every requirement. Each should come with the name of the person who made it. You should never accept that a requirement came from a department, such as from “the legal department” or “the safety department.” You need to know the name of the real person who made that requirement. Then you should question it, no matter how smart that person is. Requirements from smart people are the most dangerous, because people are less likely to question them. Always do so, even if the requirement came from me. Then make the requirements less dumb. 2. Delete any part or process you can. You may have to add them back later. In fact, if you do not end up adding back at least 10% of them, then you didn’t delete enough. 3. Simplify and optimize. This should come after step two. A common mistake is to simplify and optimize a part or a process that should not exist. 4. Accelerate cycle time. Every process can be speeded up. But only do this after you have followed the first three steps. In the Tesla factory, I mistakenly spent a lot of time accelerating processes that I later realized should have been deleted. 5. Automate. That comes last. The big mistake in Nevada and at Fremont was that I began by trying to automate every step. We should have waited until all the requirements had been questioned, parts and processes deleted, and the bugs were shaken out. The algorithm was sometimes accompanied by a few corollaries, among them: All technical managers must have hands-on experience. For example, managers of software teams must spend at least 20% of their time coding. Solar roof managers must spend time on the roofs doing installations. Otherwise, they are like a cavalry leader who can’t ride a horse or a general who can’t use a sword. Comradery is dangerous. It makes it hard for people to challenge each other’s work. There is a tendency to not want to throw a colleague under the bus. That needs to be avoided. It’s OK to be wrong. Just don’t be confident and wrong. Never ask your troops to do something you’re not willing to do. Whenever there are problems to solve, don’t just meet with your managers. Do a skip level, where you meet with the level right below your managers. When hiring, look for people with the right attitude. Skills can be taught. Attitude changes require a brain transplant. A maniacal sense of urgency is our operating principle. The only rules are the ones dictated by the laws of physics. Everything else is a recommendation.
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Walter Isaacson (Elon Musk)
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Harper Lee
“
It felt like fate when I first encountered the automated trading system that promised to transform small investments into substantial wealth over time. The marketing was aggressive, bombarding my social media feeds with images of people lounging on exotic beaches, driving fancy cars, and celebrating their newfound financial freedom. WhatsApp info:+12723328343 As a recent college graduate struggling to make ends meet, I was desperate for a way out of my financial rut, and the allure of easy money was too tempting to ignore. On a whim, I decided to take the plunge. I borrowed from my meager savings and even took out a small loan to fund my excitement. The rush I felt when signing up was like nothing I had ever experienced—an intoxicating thrill, like hopping onto a rollercoaster at full speed. At first, everything seemed to be going exactly as promised. My investment seemed to grow almost overnight, doubling and tripling in value.
My skepticism began to fade, replaced by a sense of confidence and hope for the future. I even shared my success with friends and family, excitedly telling them about the platform that was going to change my life. I imagined a future free from financial worries, a life of luxury and freedom, all thanks to this “revolutionary” trading system. But soon, a familiar sense of unease began to settle in. What had been an impressive surge in profits suddenly plateaued, and I found myself facing unexpected hurdles when trying to withdraw my funds. Pop-up messages about my “account needing an upgrade” and “market tightening” explained away the issues, but the discomfort grew. Still, I convinced myself that success required patience and continued to hold out hope that the system would recover. As weeks turned into months, my investment continued to dwindle. The once-promising account balance plummeted, and each attempt to reach customer support went unanswered. The promises of easy wealth had turned into an unsettling nightmare. Email info: Adwarerecoveryspecialist@auctioneer. net Desperate for answers, I began scouring the internet for any information or advice. That’s when I stumbled across reviews of ADWARE RECOVERY SPECIALIST , a service that seemed to specialize in helping people like me recover lost funds from fraudulent platforms. I felt a glimmer of hope as I read about others who had managed to retrieve their investments with the help of ADWARE RECOVERY SPECIALIST. Perhaps, after all, there was still a way out of this mess. I reached out to their team, and to my relief, they were able to assist me in recovering a portion of the money I thought I had lost for good. ADWARE RECOVERY SPECIALIST gave me the guidance and support I needed to navigate this complicated process, helping me regain control of a situation that had seemed hopeless. Their professionalism and expertise allowed me to salvage what I could, and for that, I am incredibly grateful.
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CRYPTO RECOVERY COMPANIES FOR HIRE CONTACT ADWARE RECOVERY SPECIALIST
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Human~Sup^^port}}**How do I get a human at Expedia?
“
In many organizations where automated functional testing is done at all, a common practice is to have a separate team dedicated to the production and maintenance of the test suite. As described at length in Chapter 4, “Implementing a Testing Strategy,” this is a bad idea. The most problematic outcome is that the developers don’t feel as if they own the acceptance tests. As a result, they tend not to pay attention to the failure of this stage of the deployment pipeline, which leads to it being broken for long periods of time. Acceptance tests written without developer involvement also tend to be tightly coupled to the UI and thus brittle and badly factored, because the testers don’t have any insight into the UI’s underlying design and lack the skills to create abstraction layers or run acceptance tests against a public API.
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Jez Humble (Continuous delivery)
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some work activities are displaced, but new ones, more fulfilling and value-adding, arise. What are the new ones? Think of these activities that everyone knows are crucial, but that actually none has the time to perform – for example, spending one hour per week with each team member to coach them.
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Pascal Bornet (INTELLIGENT AUTOMATION: Learn how to harness Artificial Intelligence to boost business & make our world more human)
“
Think big, start small, and scale fast”: Initiate the transformation with the definition of a multi-year, company-wide vision, roadmap, and business case. These plans need to be flexible and adaptable. Then, “start small” with the implementation of a pilot, and take the time to learn from this first experience. Finally, implement the broader scope in stages to manage the risks. Gradually increase the speed and scale of the transformation, and as a result, generate high impact. “IA is a business transformation, not a technology project”: The perspective of business benefits should guide the transformation. This transformation involves not only technology, but more importantly, people – with change management, and retraining – and processes – with redesigns. “IA is a journey, not a destination”: IA is not a one-off exercise; it is a never-ending transformation journey. It continually brings additional benefits to the organization by applying evolving concepts, methods, and technologies. Hence, building teams with the right skills to guide the company in this transformation is critical. “Infusing IA into the culture of the company”: Implementing IA with siloed, isolated teams does not work. Automation needs to be infused into the company. Change management, education, empowerment, and incentivization of everyone in the company is vital. Every employee should know what IA is and what its benefits are, and be empowered and incentivized to identify use cases and build automation.
”
”
Pascal Bornet (INTELLIGENT AUTOMATION: Learn how to harness Artificial Intelligence to boost business & make our world more human)
“
But what aren't you doing already? What more can you possibly do?’
‘I guess he means the team stuff’, I said. ‘The bonding. The camaraderie I've never really been –‘.
‘Don't start judging yourself’, she said sharply. ‘Don't start seeing yourself in the light of those kinds of standards.’
‘No, but it's true. There's always been the part of work I've struggled with, the unquestioning side. The feeling of joining in. I've always tried to do it at this kind of remove. Maybe what he's saying is –‘
‘Of course you've done it at a remove. How else are you supposed to do it and still be you?’
‘But maybe those days are gone’, I said. ‘Maybe I have to accept that. Maybe there just won't be those kind of jobs anymore - the ones where you can roll out of bed and staggering without speaking to anyone and keep your head down and just do it, you know? maybe this is what work is, now’
[…]
‘Definitely. Simple tasks can be automated. They've already almost got the machine learning to do what you do. It's about what else a human can bring to the table, which is, literally, their humanity.’
It was possible, I realised, to imagine. A semi-global future in which the bulk of paid human employment would revolve not around hard skills, but around the messy, blurry business of interpersonal success. A new divide would open up, between the well liked, The easy to get along with, and the awkward, The rude, the unfriendly. I pictured the encampment on which I had lived, filled not as it was then, with migrants, unfortunates, hard drinkers, the out of luck. But instead, the abrasive, the poorly adjusted, the excessively reserved and painfully shy. (p.136-7)
”
”
Sam Byers (Come Join Our Disease)
“
ABOUT MATIYAS
We are an enthusiastic and energetic establishment dedicated to bringing automation and transforming business processes digitally. We understand the value of technological advancements for increasing productivity and enhancing quality, and our in-house teams of dedicated professionals offer various services to achieve this objective effectively. Matiyas digital solutions help to streamline manufacturing business functions, increase profitability, automating efforts and increase the quality of production.
Our Customized manufacturing digital solutions can assist you to address all the hurdles that occur during the manufacturing process. You can have complete control over the manufacturing process by handling inventory management and supply chain management effectively. At Matiyas, we are committed to bringing digital transformation in manufacturing through advanced solutions and excellent services
Matiyas is providing industry 4.0 digital solutions to:
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Our digital solutions empower the manufacturers to closely supervise each and every stage of the manufacturing process and gives the absolute control over it, as a result you observe an ample reduction in wastage and material exchange possibilities which not only improves production quality but quantity too.
We understand the major problems manufacturing businesses come across and we tailor best manufacturing digital solutions accordingly.
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Interested to Automate and Collaborate Effectively Through Our Custom Digital Solutions?
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Customized Manufacturing ERP Solutions Bringing Automation. Enhancing Productivity.
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Pharmaceutical Product Exporters in Ahmedabad
India’s Leading Exporters of Quality Pharmaceutical Formulations in India. We offer Pharmaceutical Drug Formulation and Pharmaceutical Marketers.
Research Pvt. Ltd. is top manufacturing the anti-infective Tablets. We have a wide range of pharmaceutical product exporters in Ahmedabad India.
ERPL is one of the fastest growing pharmaceutical manufacturing company in India. Spread over 1,47,500 sq. ft. acres, this modernized manufacturing plant with ultra-modern facility is set up in North Indian State of Uttarakhand.
The facilities are approved by cGMP, WHO-GMP, GLP, ISO 9001:2000 and other global regulatory bodies.
ERPL has carved out a distinct place of its own in manufacturing of best quality pharmaceutical products. Our success is the mirror of the hard work and team spirit put up the excellence of the professionalism by our dedicated Directors to excel and concurred new horizons with the motive of “Commit to Quality and Customer Satisfaction”
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Esmero
“
Revalgo leads the way in transforming sales dynamics for distributors and manufacturers. Their cutting-edge AI-driven automation platform offers an array of solutions, spanning from sales automation software to supply chain optimization. By simplifying intricate sales procedures and automating order processing, Revalgo liberates sales teams from tedious manual tasks. Experience the future of business resilience with Revalgo's transformative solution today!
”
”
Revalgo Inc
“
Miguel Antunes, R&D Principle Software Engineer at OutSystems, a low-code platform vendor, relayed an example of this very challenge. Their Engineering Productivity team at OutSystems was five years old. The team’s mission was to help product teams run their builds efficiently, maintain infrastructure, and improve test execution. The team kept growing and took on extra responsibilities around continuous integration (CI), continuous delivery (CD), and infrastructure automation.
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Matthew Skelton (Team Topologies: Organizing Business and Technology Teams for Fast Flow)
“
I read a post on Palestinian Refugee ResearchNet’s blog claiming that Facebook was blocking the term “Palestinian” from being used in page titles. The post included a screenshot of an attempt to create a page called “Palestinian Refugee ResearchNet,” with a warning splashed across the top that read: “Our automated system will not allow the name ‘Palestinian Refugee ResearchNet.’ It may violate our Pages Guidelines or contain a word or phrase that is blocked to prevent the creation of unofficial or otherwise prohibited Pages. If you believe this is an error, please contact our Customer Support team.” The blogger, Rex Brynen, tested several similar titles, replacing “Palestinian” with “Israeli” and “Afghan.” Both worked, so he wrote to the support team.
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Jillian York (Silicon Values: The Future of Free Speech Under Surveillance Capitalism)
“
The next billion-dollar startup will only have three employees.” The culture of that startup would be “AI first,” and it would use autonomous AI agents to get work done. All marketing and sales would be automated via AI bots, and the three employees would be: The CEO, who would handle vision and purpose and lead public-facing marketing. She would also code and be involved in engineering. The Product Lead, who would interface with customers and team to manage the product roadmap and drive development The Operations Lead, who would be responsible for the outcome of the AI bots and handle finance and legal and smooth operations. We
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Salim Ismail (Exponential Organizations 2.0: The New Playbook for 10x Growth and Impact)
“
Microsoft Dynamics 365 Supply Chain Management Solutions
Optimize your supply chain with Dynamics 365 Supply Chain Management. Our Microsoft expertise ensures efficient supply chain management.
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Increased Efficiency: Automate and optimize your supply chain processes to reduce manual efforts and errors.
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With our extensive experience in Microsoft Dynamics 365, we are committed to providing top-notch supply chain management solutions tailored to your business needs. Our team of experts will work with you to implement and optimize Dynamics 365 Supply Chain Management, ensuring you get the most out of your investment.
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Transform your supply chain with Dynamics 365 Supply Chain Management. Contact us today to learn more about how we can help you achieve a more efficient and effective supply chain.
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Dynamics365scm
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all team members as well as passers-by can see the latest information at a glance: count of automated tests, velocity, incident reports, continuous integration status, and so on. This
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Gene Kim (The DevOps Handbook: How to Create World-Class Agility, Reliability, and Security in Technology Organizations)
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Having automated tests that are reliable: when the automated tests pass, teams are confident that their software is releasable.
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Nicole Forsgren (Accelerate: The Science of Lean Software and DevOps: Building and Scaling High Performing Technology Organizations)
“
To achieve market orientation, we won’t do a large, top-down reorganization, which often creates large amounts of disruption, fear, and paralysis. Instead, we will embed the functional engineers and skills (e.g., Ops, QA, Infosec) into each service team, or provide their capabilities to teams through automated self-service platforms that provide production-like environments, initiate automated tests, or perform deployments.
”
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Gene Kim (The DevOps Handbook: How to Create World-Class Agility, Reliability, and Security in Technology Organizations)
“
Greenfield DevOps projects are often pilots to demonstrate feasibility of public or private clouds, piloting deployment automation, and similar tools. An example of a greenfield DevOps project is the Hosted LabVIEW product in 2009 at National Instruments, a thirty-year-old organization with five thousand employees and $1 billion in annual revenue. To bring this product to market quickly, a new team was created and allowed to operate outside of the existing IT processes and explore the use of public clouds. The initial team included an applications architect, a systems architect, two developers, a system automation developer, an operations lead, and two offshore operations staff. By using DevOps practices, they were able to deliver Hosted LabVIEW to market in half the time of their normal product introductions.
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Gene Kim (The DevOps Handbook: How to Create World-Class Agility, Reliability, and Security in Technology Organizations)
“
Don’t be afraid to provide white glove customer support for early adopters to help them through the onboarding process. Sometimes automation also entails a host of emotional concerns, such as fear that someone’s job will be replaced by a shell script. By working one-on-one with early users, you can address those fears personally, and demonstrate that rather than owning the toil of performing a tedious task manually, the team instead owns the configurations, processes, and ultimate results of their technical work. Later adopters are convinced by the happy examples of early adopters.
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Betsy Beyer (Site Reliability Engineering: How Google Runs Production Systems)
“
Selling is crucial to your success because without the sale, you do not make any money. The great thing about writing a book to position yourself is that the book does a lot of the selling for you. People read the book and come to you for more answers. If you have products created to match the theme of your book, your platform (website) will do the selling for you. Automate as much of the process as you can with opt-in boxes, video sales landing pages and special offers. Make it as easy as you can for your fans and followers. Once your products are created, simply write about them, talk about them, and create articles from the content and say, “Yes” to interviews. The buzz created will point people back to your site where your automatic sales team is ready to take orders 24 hours a day.
”
”
Kytka Hilmar-Jezek (Book Power: A Platform for Writing, Branding, Positioning & Publishing)
“
Amazingly, the transformations are not primarily based on automation. Instead, the incredible improvements come from modifying policies around the system of work and the policies that control work in process, ensuring that there are effective cross-functional teams, subordinating everything to the constraint, and managing handoffs well.
”
”
Gene Kim (The Phoenix Project: A Novel About IT, DevOps, and Helping Your Business Win)
“
Technology has also given us greater automation that allows us to take large tasks and turn them into more manageable tasks. The pressure then comes from executive management to be “fully informed and fully engaged” in every aspect of our operation, after all, it’s easier than ever to do so! This of course misses the point that those advancements free the leader from the “small” things and allows them to focus on things with bigger impact like, team member development, strategy and other proactive measures. We’re missing out on the big picture if we are constantly focused on the small things.
”
”
Cameron L. Morrissey (The 7 Deadly Sins of Leadership: And How to Overcome Them in Yourself and Others)
“
There are various incremental improvements to the way software is delivered which will yield immediate benefits, such as teaching developers to write production-ready software, running CI on production-like systems, and instituting cross-functional teams.
”
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David Farley (Continuous Delivery: Reliable Software Releases through Build, Test, and Deployment Automation)
“
Implementing functional test automation will get the team to work closer and prepare the system for the use of executable specifications later.
”
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Gojko Adzic (Specification by Example: How Successful Teams Deliver the Right Software)
“
Wage Garnishment
Majority of students complete their education with student loan debt. Once you have graduated from college and stepinto the real world, you realize it isn’t as easy as it seemed. Student loan is one of the most difficult loans to repay and it also cannot be discharged into bankruptcy. Thus it has to be repaid!One thing that should always be kept in mind is to never skip your loan payments. If this happens and happens consecutively for months it will open doors to many other problems. It will put your loan in default; your entire loan amount and interest will become due immediately. It will adversely impact your credit score. We discuss Wage Garnishment with The Student Loan Help Center team, let’s see what they said about it.
So What is wage garnishment?
Wage garnishment happens when your loan is in default (you can consult The Student Loan help center if you want) i.e you have not paid the loan for consecutive 270 days. Now Wage garnishment is one of the legal consequences of going into default. Through this method the government starts deducting 15% of your income. That means you in hand income willreduce with only 85% coming in your bank account. However the amount of wage that can be garnished for private loandiffers from state to state since every state is not allowed to garnish the wages.
How to avoid?
As discussed before, wage garnishment happens only when your loan is in default. The department of education sends you one letter when you are in default. The best way to avoid this problem is to avoid going to default. There are numerous measures you can adopt right from very beginning to keep your loan repayment on track. For eg, starting to pay interest in your grace period, automating the process of monthly payments to get some discount from bank etc. Now what if you are in default or going in default, then the best option would be to consider forbearance or deferment which will stop your wages from being garnished.
How can it be challenged?
If you have just received the notice from Department of Education then you are given one opportunity to get a hearing and object to wage garnishment. You can challenge wage garnishment on following grounds:
Your income
Your employment
Procedures followed to start the garnishment etc
Also your wage garnishment cannot begin before the notice of 30 days. During this time period you request a hearing garnishment will be put on hold and if 30 days are over garnishment will not stop if you have won the hearing.
One of the Best Student Loan consolidation services in USA is The Student Loan Help Center in Florida for all kind of Student Loan consultation you can contact any time.
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The Student Loan Help Center
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Algiz Technology provide enterprise it teams best MSI Packaging, Application Virtualization tools including the MSI packager, with the most advanced
software packaging tools for deployment with a complete suite of automated customization, testing, MSI packaging and management reporting capabilities.
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”
Algiz Technology
“
Why I was successful In 2014, I was 29 years old. I was selling against companies that had been in the QuickBooks integration business for five years or more. Some competitors had millions of dollars in venture capital. Their websites were the equivalent of a five-star hotel. These competitors had large sales and marketing teams that could easily show the value of their solution. The companies had a team of programmers. I had my pajamas, a corded phone, a cookie-cutter website, and a laptop computer. I signed up about three hundred new accounts because I was the first person to pick up the phone and I spoke English. I could answer questions on what my software can automate. If there was a problem, I called the customer and we did a screenshare. You need to talk to customers on the phone and you cannot email customers to death. Many customers later told me they reached out to competitors and received no response to sales or support inquiries. These customers said they chose my company because I was responsive. Potential customers want to speak to someone in their area who understands their language. You need to connect with them. Many people signed up for Connex because they liked me over the phone. We attract many small business owners. I had similar interests and I owned a business, just like them.
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Joseph Anderson (The $20 SaaS Company: from Zero to Seven Figures without Venture Capital)
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a disciplined team can slow down the pace of its descent toward monolithic hell. Team members can work hard to maintain the modularity of their application. They can write comprehensive automated tests. On the other hand, they can’t avoid the issues of a large team working on a single monolithic application. Nor can they solve the problem of an increasingly obsolete technology stack. The best a team can do is delay the inevitable.
”
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Chris Richardson (Microservices Patterns: With examples in Java)
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Karin Hurt (Courageous Cultures: How to Build Teams of Micro-Innovators, Problem Solvers, and Customer Advocates)
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create their own OKRs for their own organization. For example, the design department might have objectives related to moving to a responsive design; the engineering department might have objectives related to improving the scalability and performance of the architecture; and the quality department might have objectives relating to the test and release automation. The problem is that the individual members of each of these functional departments are the actual members of a cross‐functional product team. The product team has business‐related objectives (for example, to reduce the customer acquisition cost, to increase the number of daily active users, or to reduce the time to onboard a new customer), but each person on the team may have their own set of objectives that cascade down through their functional manager. Imagine if the engineers were told to spend their time on re‐platforming, the designers on moving to a responsive design, and QA on retooling. While each of these may be worthy activities, the chances of solving the business problems that the cross‐functional teams were created to solve are not high.
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Marty Cagan (Inspired: How to Create Tech Products Customers Love (Silicon Valley Product Group))
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Gene Kim (The DevOps Handbook: How to Create World-Class Agility, Reliability, and Security in Technology Organizations)
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Laura Bell (Agile Application Security: Enabling Security in a Continuous Delivery Pipeline)
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The dimensions impacting your team’s structure the most, and the ones you must most carefully consider include: The maturity of the market: the less mature the market (read: the more unique your product category is), the more evangelizers you need, as opposed to the next point: The maturity of your product: the less mature the product, the more hand-holding the customer needs. The maturity of your deployment process: the easier it is for the customer to get on-boarded and become self-sufficient, the more streamlined your organization can be (fewer roles, less complexity and fewer people touching the customer). The size of your customer base: the more customers you have to manage, the more important it is to move quickly towards automating activities in order to control costs. The extent of the Land-and-Expand strategy: the more potential for expansion there is with your customers, the more involved you want to be with them over time and the more quickly you would want to move commercial responsibilities over from Sales to the Customer Success organization.
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Guy Nirpaz (Farm Don't Hunt: The Definitive Guide to Customer Success)
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Phase 1: Discovery 1. Define the problem statement What is the challenge that will be solved? The problem statement is defined at this step and becomes the foundation of the project. Here is a sample problem statement: The company has more than one hundred thousand email addresses and has sent more than one million emails in the last twelve months, but open rates remain low at 8 percent, and sales attributed to email have remained flat since 2018. Based on current averages, a 2 percentage-point lift in email open rates could produce a $50,000 increase in sales over the next twelve months. It’s important to note that a strong and valid problem statement should include the value of solving the problem. This helps ensure that the project is worth the investment of resources and keeps everyone focused on the goal. 2. Build and prioritize the issues list What are the primary issues causing the problem? The issues are categorized into three to five primary groups and built into an issues tree. Sample issues could be: •Low open rates •Low click rates •Low sales conversion rates 3. Identify and prioritize the key drivers. What factors are driving the issues and problem? Sample key drivers could include: •List fatigue •Email creatives •Highly manual, human-driven processes •Underutilized or missing marketing technology solutions •Lack of list segmentation •Lack of reporting and performance management •Lack of personalization 4. Develop an initial hypothesis What is the preliminary road map to solving the problem? Here is a sample initial hypothesis: AI-powered technologies can be integrated to intelligently automate priority use cases that will drive email efficiency and performance. 5. Conduct discovery research What information can we gain about the problem, and potential solutions, from primary and secondary research? •How are talent, technology, and strategy gaps impacting performance? •What can be learned from interviews with stakeholders and secondary research related to the problem? Ask questions such as the following: •What is the current understanding of AI within the organization? •Does the executive team understand and support the goal of AI pilot projects?
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Paul Roetzer (Marketing Artificial Intelligence: Ai, Marketing, and the Future of Business)
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Broadly speaking, for effective delivery and operations of modern software systems, organizations should attempt to minimize intrinsic cognitive load (through training, good choice of technologies, hiring, pair programming, etc.) and eliminate extraneous cognitive load altogether (boring or superfluous tasks or commands that add little value to retain in the working memory and can often be automated away), leaving more space for germane cognitive load (which is where the “value add” thinking lies).
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Matthew Skelton (Team Topologies: Organizing Business and Technology Teams for Fast Flow)
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To begin the discussion of the Tipping Point, I’ll start with a prominent strategy, “Invite-Only,” that is often used to suck in a large network through viral growth. Another method to tip over a market is with a “Come for the Tool, Stay for the Network” strategy. Take Dropbox, for instance, which is initially adopted by many people for file backup and keeping files synced up between work and home computers—this is the tool. But eventually, a more advanced and stickier use case emerges to share folders with colleagues—this is the network. And if that doesn’t work, some products can always just spend money to build out their network, with a strategy of just “Paying Up for Launch.” For many networked products that touch transactions like marketplaces, teams can just subsidize demand and spend millions to stimulate activity, whether that’s in paying content creators for your social network, or subsidizing driver earnings in rideshare. If the hard side of the network isn’t yet activated, a team can just fill in their gaps themselves, using the technique of “Flintstoning”—as Reddit did, submitting links and content until eventually adding automation and community features for scale. In the end, all of these strategies require enormous creativity. And to close out the Tipping Point section of the book, I introduce Uber’s core ethos of “Always Be Hustlin’”—describing the creativity and decentralized set of teams, all with its own strategies that were localized to each region. Sometimes adding the fifth or one hundredth network requires creativity, product engagements, and tactical changes. In the goal of reaching the Tipping Point, teams must be fluid to build out a broad network of networks.
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Andrew Chen (The Cold Start Problem: How to Start and Scale Network Effects)
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This is what happened when I cofounded LinkedIn. The key business model innovations for LinkedIn, including the two-way nature of the relationships and filling professionals’ need for a business-oriented online identity, didn’t just happen organically. They were the result of much thought and reflection, and I drew on the experiences I had when founding SocialNet, one of the first online social networks, nearly a decade before the creation of LinkedIn. But life isn’t always so neat. Many companies, even famous and successful ones, have to develop their business model innovation after they have already commenced operations. PayPal didn’t have a business model when it began operations (I was a key member of the PayPal executive team). We were growing exponentially, at 5 percent per day, and we were losing money on every single transaction we processed. The funny thing is that some of our critics called us insane for paying customers bonuses to refer their friends. Those referral bonuses were actually brilliant, because their cost was so much lower than the standard cost of acquiring new financial services customers via advertising. (We’ll discuss the power and importance of this kind of viral marketing later on.) The insanity, in fact, was that we were allowing our users to accept credit card payments, sticking PayPal with the cost of paying 3 percent of each transaction to the credit card processors, while charging our users nothing. I remember once telling my old college friend and PayPal cofounder/ CEO Peter Thiel, “Peter, if you and I were standing on the roof of our office and throwing stacks of hundred-dollar bills off the edge as fast as our arms could go, we still wouldn’t be losing money as quickly as we are right now.” We ended up solving the problem by charging businesses to accept payments, much as the credit card processors did, but funding those payments using automated clearinghouse (ACH) bank transactions, which cost a fraction of the charges associated with the credit card networks. But if we had waited until we had solved this problem before blitzscaling, I suspect we wouldn’t have become the market leader.
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Reid Hoffman (Blitzscaling: The Lightning-Fast Path to Building Massively Valuable Companies)
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Then campaigns would be designed based on content our in-house team had composed—and the final, fifth step, the micro-targeting strategy, allowed everything from video to audio to print ads to reach the identified targets. Using an automated system that refined that content again and again, we were able to understand what made individual users finally engage with that content in a meaningful way. We might learn that it took as many as twenty or thirty variations of the same ad sent to the same person thirty different times and placed on different parts of their social media feed before they clicked on it to act. And knowing that, our creatives, who were producing new content all the time, knew how to reach those same people the next time CA sent something out.
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Brittany Kaiser (Targeted: The Cambridge Analytica Whistleblower's Inside Story of How Big Data, Trump, and Facebook Broke Democracy and How It Can Happen Again)
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