#automation software testing services san francisco

[mariacallous]

The Biden administration is asking the world’s largest technology companies to publicly commit to tightening the digital security of their software and cloud services.

The voluntary pledge, first reported by WIRED, represents the latest effort by the Department of Homeland Security’s Cybersecurity and Infrastructure Security Agency (CISA) to build support for its Secure by Design initiative, which encourages tech vendors to prioritize cybersecurity while developing and configuring their products.

By signing the pledge, companies promise to make a “good-faith effort” to implement seven critical cybersecurity improvements, ranging from soliciting reports of vulnerabilities in their products to expanding the use of multi-factor authentication, a technology that adds an extra login step to the traditional password.

The pledge—which CISA plans to announce at the RSA cybersecurity conference in San Francisco next week—poses a major test for CISA, which last week marked the one-year anniversary of its Secure by Design campaign. The initiative is a top priority of CISA’s leadership, but it has produced mixed results, with some companies continuing to flout its urgent advice. The tech industry’s reaction to the pledge—and especially the number of software giants that sign it—will serve as a litmus test for how the private sector views CISA’s continuing push for increased corporate investment in cybersecurity.

“We're really excited about the companies that are on board,” Eric Goldstein, CISA’s executive assistant director for cybersecurity, tells WIRED. He declined to say how many vendors have already signed the pledge, but he says they include some “really significant” players in the tech industry.

WIRED asked more than three dozen of the biggest software companies whether they had signed or planned to sign the pledge. Only a handful responded. Login technology provider Okta said it had signed, while security vendor BlackBerry said it was considering doing so. Notably, software giants Amazon, Google, and Microsoft did not say whether they were signing.

“CISA says they have 50 companies that are signing and giving quotations to put on the website,” says a tech industry official familiar with the matter, who requested anonymity to speak candidly. “I don’t know any company that has signed.”

The seven goals laid out in the pledge represent security practices that experts say would dramatically improve companies’ cyberdefenses and make it easier for customers to safely use their products.

The goals include significantly increasing users’ use of multi-factor authentication, including by automatically enabling it or prodding users to activate it; eliminating default passwords, including by requiring users to choose strong passwords at product setup; and making it easier for customers to understand hacks of products they use, including by letting them review logs of suspicious network activity for free.

Companies signing the pledge would also commit to hardening their products against entire classes of vulnerabilities, such as by using memory-safe programming languages that completely block memory-based attacks; fostering better software patching, including by making patching easier and automating it when possible; creating vulnerability disclosure programs that encourage users to find and report product flaws; and publishing timely alerts about major new vulnerabilities, as well as including detailed information in all new vulnerability alerts.

The pledge offers examples of how companies can meet the goals, although it notes that companies “have the discretion to decide how best” to do so. The document also emphasizes the importance of companies publicly demonstrating “measurable progress” on their goals, as well as documenting their techniques “​​so that others can learn.”

CISA developed the pledge in consultation with tech companies, seeking to understand what would be feasible for them while also meeting the agency’s goals, according to Goldstein. That meant making sure the commitments were feasible for companies of all sizes, not just Silicon Valley giants.

The agency originally tried using its Joint Cyber Defense Collaborative to prod companies into signing the pledge, according to the tech industry official, but that backfired when companies questioned the use of an operational cyberdefense collaboration group for “a policy and legal issue,” the industry official says.

“Industry expressed frustration about trying to use the JCDC to obtain pledges,” the official says, and CISA “wisely pulled back on that effort.”

CISA then held discussions with companies through the Information Technology Sector Coordinating Council and tweaked the pledge based on their feedback. Originally, the pledge contained more than seven goals, and CISA wanted signatories to commit to “firm metrics” for showing progress, according to the industry official. In the end, this person says, CISA removed several goals and “broadened the language” about measuring progress.

John Miller, senior vice president of policy, trust, data, and technology at the Information Technology Industry Council, a major industry trade group, says that change was smart, because concrete progress metrics—like the number of users using multi-factor authentication—could be “easily misconstrued.”

Goldstein says the number of pledge signatories is “exceeding my expectations about where we’d be” at this point. The industry official says they’re not aware of any company that has definitively refused to sign the pledge, in part because vendors want to “keep open the option of signing on” after CISA’s launch event at RSA. “Everyone’s in a kind of wait-and-see mode.”

Legal liability is a top concern for potential signatory companies. “If there ends up being, inevitably, some type of security incident,” Miller says, “anything [a] company has said publicly could be used in lawsuits.”

That said, Miller predicts that some global companies facing strict new European security requirements will sign the US pledge to “get that credit” for something they already have to do.

CISA’s Secure by Design campaign is the centerpiece of the Biden administration’s ambitious plan to shift the burden of cybersecurity from users to vendors, a core theme of the administration’s National Cybersecurity Strategy. The push for corporate cyber responsibility follows years of disruptive supply-chain attacks on critical software makers like Microsoft, SolarWinds, Kaseya, and Change Healthcare, as well as a mounting list of widespread software vulnerabilities that have powered ransomware attacks on schools, hospitals, and other essential services. White House officials say the pattern of costly and often preventable breaches demonstrates the need for increased corporate accountability.

The Biden administration is using the federal government’s contracting power to set new minimum security standards for the software that agencies buy, with the goal of modeling responsible behavior for the entire industry. White House officials are also studying proposals to make all vendors, not just federal contractors, liable for security failures, but that effort faces an uphill battle in Congress.

With no authority to require better cybersecurity for the entire software industry, the White House has tasked CISA with prodding companies to commit to voluntary improvements. That effort began last April with the publication of specific recommendations for incorporating cybersecurity into the product design, development, and configuration process. CISA consulted with the tech industry and the security research community on refinements to that document and released an updated version last October. At around the same time, CISA announced that it had obtained Secure by Design commitments from six major K-12 educational technology vendors. That move, while limited to one industry, signaled CISA’s clear desire to convert its guidance into public corporate pledges.

“It has long been our goal … to move from just the white papers and the guidance to get companies to say, ‘Yes, we agree, and here’s what we're doing,’” Goldstein says. “The pledge really is that concrete manifestation of the guidance that we’ve been developing for a year.”

But the efficacy of the voluntary pledge remains to be seen. “Pledging companies will self-assess and self-report,” says Katie Moussouris, CEO and founder of Luta Security, “so only time will tell if they’ve effectively applied the measures and if the pledge proved to be an effective accountability mechanism.”

Miller says he expects the pledge to keep companies accountable because of the potential legal consequences of neglecting promised improvements. In the meantime, government officials are counting on customers to pressure vendors to both sign and abide by the pledge.

“Right now, we see the demand for safe and secure products to really be significant,” Goldstein says. “We think that … customer demand will drive that progress for us.”

[ravnique]

Ideal Customer Persona: Marketing Director Mark

About Them

Name: Mark Thompson

Role: Marketing Director

Industry: SaaS (Software as a Service)

Company Size: Mid-sized (100-500 employees)

Demographics:

Age: 35-45 years old

Education: Bachelor's in Marketing or Business, often with an MBA

Location: Urban areas with a tech industry presence (e.g., San Francisco, New York, Austin)

Experience: 10+ years in marketing, 3-5 years in a leadership role

Professional Background:

Strong understanding of digital marketing, analytics, and customer acquisition strategies

Experienced in leading cross-functional teams and managing marketing budgets.

Use Case

How they use our product:

To manage and optimize digital marketing campaigns across multiple channels (e.g., social media, email, SEO)

To gain insights into customer behavior and campaign performance through advanced analytics and reporting tools

To streamline and automate repetitive marketing tasks

What they’re trying to achieve:

Increase lead generation and conversion rates

Enhance brand visibility and engagement

Improve ROI on marketing spend

Gain a competitive edge through data-driven decision-making

Previous Solution & Pain Points

Previous Solution:

A combination of multiple marketing tools (e.g., email marketing platforms, social media schedulers, web analytics tools)

Manual processes for campaign management and performance tracking

Pain Points:

Fragmented data across different tools leading to inefficiencies and inaccuracies

Time-consuming manual processes

Difficulty in measuring the true impact of marketing efforts on revenue

Challenges in personalizing marketing campaigns at scale

Benefits

Main Benefits from Using Our Product:

Integrated Platform: Unified solution that brings all marketing tools and data into one platform

Automation: Streamlined workflows for campaign management, reducing manual effort

Advanced Analytics: Comprehensive reporting and analytics that provide actionable insights

Scalability: Ability to personalize campaigns at scale, driving better engagement

Improved ROI: More efficient use of marketing budgets through data-driven optimization

Buying Trigger

What Causes Them to Seek Out Our Product:

Need to consolidate marketing tools for better efficiency

Growth in company size leading to more complex marketing needs

Desire to improve marketing performance and accountability

Feedback from the executive team demanding better metrics and ROI

Frustration with current tools' limitations and lack of integration

Buying Process

Typical Process People Go Through to Buy Our Product:

Research: Initial online research to identify potential solutions, reading reviews and case studies

Evaluation: Shortlisting a few platforms, attending demos, and comparing features and pricing

Consultation: Internal discussions with the marketing team and other stakeholders (e.g., IT, finance)

Trial: Requesting a free trial or pilot program to test the product

Decision: Final decision made by the Marketing Director, often in consultation with the executive team

Approval: Securing budget approval and negotiating contracts

Choice Factors

Things They’re Looking for in a Product Like Ours:

Ease of Use: Intuitive interface and easy onboarding process

Integration: Seamless integration with existing tools and systems

Scalability: Ability to grow with the company and handle increasing volumes of data and users

Support: Reliable customer support and resources for troubleshooting and optimization

Value: Competitive pricing and clear ROI

Innovation: Regular updates and new features that keep the platform ahead of industry trends

[generativeinai]

Why Every Team Needs an AI Copilot Solution in 2025?

The modern workplace has never moved faster. As we step into 2025, the speed of innovation, the complexity of workflows, and the expectations for productivity have all reached new heights. To stay competitive and agile, companies are turning to a new kind of team member: the AI Copilot.

Much more than a tool, an AI Copilot is a context-aware digital assistant that collaborates with human workers—offering insights, automating tasks, streamlining decisions, and enhancing creativity. Let’s explore why every team, across industries and functions, needs an AI Copilot solution in 2025.

1. Boosts Productivity Without Burnout

Workloads are growing, but humans have limits. AI Copilots help close the gap between increasing demand and human capacity. By summarizing long documents, generating reports, drafting emails, or even writing code, AI can drastically reduce time spent on routine tasks.

Instead of working longer hours, teams work smarter.

Stat to know: According to McKinsey, generative AI can automate up to 60–70% of employee time in functions like marketing, software development, customer service, and legal.

2. Enhances Decision-Making with Data-Driven Insights

In 2025, data is more abundant than ever—but raw data is only useful if interpreted correctly and quickly. AI Copilots can synthesize large datasets in real-time, generate visualizations, spot trends, and even suggest actions based on predictive analytics.

This helps teams make faster, smarter decisions without waiting on analysts or dashboards.

3. Bridges Skill Gaps and Democratizes Expertise

Not every team has a data scientist, a legal expert, or a senior marketer on hand. AI Copilots can act as knowledge bridges—providing answers, generating compliant documents, and helping less-experienced team members punch above their weight.

Whether it’s a junior developer using AI to write more efficient code or a sales rep generating a tailored pitch deck, AI evens the playing field.

4. Fosters Creativity and Innovation

AI is not just for automation; it’s a powerful collaborator for brainstorming and content creation. Marketing teams use AI to generate campaign ideas. Product teams simulate user flows with AI-driven prototypes. Even C-level executives use copilots to test strategies and scenario plan.

AI enables creativity at speed and scale—making teams not only more efficient, but also more innovative.

5. 24/7 Operational Agility

AI Copilots never sleep. They’re available across time zones and can handle queries and tasks asynchronously. In remote and hybrid teams, this is a game changer. AI ensures that no information is lost, no task forgotten, and no opportunity delayed—whether your teammate is in San Francisco or Singapore.

6. Improves Collaboration and Knowledge Sharing

AI Copilots can act as team memory—summarizing meetings, keeping track of action items, tagging documents, and making relevant past knowledge accessible when it's needed. This reduces duplication of effort and keeps everyone on the same page, literally and figuratively.

7. Adapts to Every Role and Industry

From HR to finance, from software to healthcare, AI Copilots are not one-size-fits-all. They're increasingly customizable and integrate deeply with existing workflows and tools (Slack, Notion, Jira, Salesforce, etc.).

The result? Every team—from frontline workers to leadership—can benefit without needing to reinvent the wheel.

The Future Is Not Human vs. AI—It’s Human + AI

Organizations that adopt AI Copilots in 2025 will outperform those that don’t—not by replacing human talent, but by amplifying it. The teams of tomorrow will be defined by how well they leverage AI to extend their capabilities.

AI Copilots aren’t a luxury anymore—they’re a strategic necessity.

Conclusion

As AI matures and becomes more accessible, the real question isn’t whether to use an AI Copilot Solution, but how fast you can onboard one. Businesses that embrace this shift early will see exponential gains in performance, engagement, and innovation.

[govindhtech]

Nodeshift Offers Affordable AI Cloud with Intel Tiber Cloud!

A San Francisco-based firm called Nodeshift is making waves in the industry with its ground-breaking cloud-based solutions at a time when AI development is often associated with exorbitant costs. Nodeshift is democratising the development of AI by providing a worldwide cloud network for training and running AI models at a fraction of the cost of market leaders like Google Cloud and Microsoft Azure.

Nodeshift

Terraform can help automate deployments

Thanks to its integration with Terraform, you can automate the deployment of GPU and Compute virtual machines, as well as storage. This place is a great fit for your AWS, GCP, and Azure expertise.

Steps x NodeShift on GitHub

To generate resources on it and launch your code straight into GPU and compute virtual machines, utilise the GitHub Actions pipeline.

What People Say About NodeShift

With its new decentralised paradigm, it is poised to reshape cloud services, altering the dynamics of the market and opening up new avenues for innovation.

The NodeShift founders have been chosen to participate in Intel’s startup accelerators, Intel Ignite and Intel Liftoff. Their goal is to build a strong foundation for growth by collaborating with seasoned business owners, mentors, and engineers. This will facilitate in expediting the advancement of decentralisation technology and expanding its operations worldwide.

Developing business apps in the cloud securely and at a significant cost savings is made simple for developers by the NodeShift platform. By applying applied cryptography to distributed computing, it is possible to leverage technical breakthroughs.

With years of experience implementing Palantir’s business SaaS platform in the cloud, KestrelOx1 is excited to support the NodeShift project and team as they push the boundaries of what is possible in the cloud and ensure data security.

It is revolutionary that Nodeshift is a component of the Intel Liftoff Programme. It will always be able to improve their cloud services thanks to this strategic partnership, which gives them unrestricted access to state-of-the-art hardware and software.

Intel Liftoff

“The close collaboration with the Intel Liftoff Programme has significantly improved and accelerated our own development and success in the market.” The co-founder of Nodeshift, Mihai Mărcuță.

Developing and training cloud-based AI systems can be extremely expensive for small and medium-sized businesses. Leading suppliers’ exorbitant prices frequently strain budgets to the breaking point, inhibiting innovation. With savings of up to 80% over popular cloud services from Google, AWS, and Azure, Nodeshift takes on this challenge head-on.

The Cost-Cutting Method of Nodeshift

Nodeshift’s creative utilisation of already-existing, underutilised processing and storage resources is the key to its incredible cost effectiveness. As an alternative to building their own data centres, it makes use of a network of geographically dispersed virtual machines that are purchased from both major and small telecom providers. This model improves scalability and flexibility in addition to cutting expenses. Here at Nodeshift, security and data protection come first.

Because Nodeshift is SOC 2 certified and follows strict standards like GDPR, it guarantees the highest level of data security and privacy.Image Credit to Intel

Strengthened by the Tiber Developer Cloud at Intel

As a participant in the Intel Liftoff Programme, it has unmatched access to the Intel Tiber Development Cloud. You may easily find cutting-edge hardware components and necessary software tools for developing AI here. Because of this collaboration, Nodeshift engineers can make sure that their products are always at the forefront of technology by thoroughly testing and improving them.

Max security and performance for AI applications are ensured by Nodeshift because to its access to the newest AI accelerator technologies, such as Intel Gaudi 2 or Gaudi 3, and contemporary CPU developments, such Intel SGX. It keeps its solutions one step ahead of the competition by utilising Intel’s expertise to further develop them.

Gaining More Recognition and Trustworthiness

Apart from the technology assistance, it gains from the powerful startup acceleration apparatus of Intel. In addition to increased media presence, this entails introductions to mentors, prospective clients, and important industry people. Being present at Intel events helps it become more visible in the market and improves its standing with investors, staff members, and clients.

The story of its demonstrates how creative thinking and smart alliances can revolutionise the tech sector. It is opening up AI development to a wider audience at a lower cost and opening doors for new kinds of technical breakthroughs by utilising Intel’s resources and their distinctive approach to cloud infrastructure.

Intel Ignite

“Decentralisation will be the foundation of NodeShift’s new paradigm, which will redefine cloud services and alter the dynamics of the market. This will present new opportunities for innovation.” The NodeShift founders have been chosen to participate in Intel’s startup accelerators, Intel Ignite and Intel Liftoff. Their goal is to build a strong foundation for growth by collaborating with seasoned business owners, mentors, and engineers. As a result, NodeShift will be able to expand its operations internationally and quicken the advancement of decentralised technologies.

Read more on Govindhtech.com

[otoseyir]

Michigan becoming a hub for artificial intelligence inventions

Michigan has the largest number of artificial intelligence and machine learning patents issued in the Midwest since 2010 with the Detroit area ranking among the top nine regions for innovation across the country, according to a new report. The Detroit-Warren-Dearborn metropolitan area had 896 AI patents issued, making it the ninth-most innovative U.S. metro, according to CommercialCafe, a commercial real estate Internet listing service. While Silicon Valley in California far surpasses any other metro area for AI patents, metro Detroit held its own on the list largely because of the presence of the automotive industry and related suppliers, in addition to the growing startup network in Detroit, the report said. "Because the U.S. is home to several global leaders in both automotive and key automation technologies, markets like the Detroit metro area are intriguing to both investors and innovators worldwide," the October report said. "With nearly 900 AI and ML patents at the close of 2022, the Detroit MSA ranked as the ninth-most innovative metro in the U.S. — and continues to show that the Motor City inventive spirit remains strong." The companies topping the list of AI/ML patents were Ford Global Technologies with 321 patents, GM Global Technology Operations with 296 and Magna Electronics with 53 patents issued. Specifically, CommercialCafe cited the partnership between Google and Ford Motor Co. to convert the 105-year-old Michigan Central train station and surrounding neighborhood into the Michigan Central Innovation District as a hub for mobility and entrepreneurship. As part of the mobility-focused, smart city project, Google agreed to provide cloud technology, as well as work force development training to high school students and job seekers in the Detroit area, the report said. In addition to Ford, General Motors and Stellantis have established mobility and software engineering projects in Michigan in recent years, bringing Silicon Valley closer to home, it said. Ford could not be reached for comment. A GM spokesperson said the company was unable to comment on patent filings or their intended use "due to the competitive nature of the space." A growing startup center Alan Taub, director of the University of Michigan's Michigan Materials Research Institute, said an increased interest in startups is also leading to a more competitive mobility market, which is why Michigan is seeing more AI patents. "The technology revolutions of connected vehicles, self-driving vehicles and electric vehicles are moving at an unprecedented rate for the industry," Taub said. "And with the introduction of new startups, all of a sudden intellectual property moved from sort of the bare minimum to a major part of the strategy of companies. … I think if you just do a historical look at the number of patents around mobility, it has skyrocketed, because they're much more valuable, and it's a much more hyper-competitive space." HostingAdvice.com, a web-hosting information site, recently ranked Detroit as one of the top 13 cities drawing startups away from Silicon Valley. Detroit ranked No. 6 on the list, citing the city's economic resiliency after the 2008 financial crisis and the city's business-friendly tax environment. In the 2022 Global Startup Ecosystem Report by Startup Genome, an innovation policy advisory and research firm based in San Francisco, Detroit was ranked the No. 1 city in the U.S. for emerging startup ecosystems. Henry Liu, an engineering professor and director of Mcity, UM's mobility testing facility, said AI is becoming an essential part of autonomous vehicles. "AI is going to transform every aspect of mobility, not only just the vehicle, but the infrastructure, the manufacturing of the vehicles, and in service to people," Liu said. A typical use of AI in mobility is in self-driving vehicles. Liu used the example of a Tesla, which has eight cameras and 12 sensors that feed information about the traffic, pedestrians and other vehicles to the control system. In the past, the development of…

[techrobot1235]

Top Trends and Future Scopes of DevOps

What is DevOps?

Organizations can build, deploy, and maintain applications and services with the aid of DevOps. It integrates development and operations.Patrick Dubois coined the term “New DevOps” in 2009. Utilizing the model’s compelling use cases will determine the future reach of DevOps. DevOps has a bright future as the best method for combining operations and development.

The phrase “DevOps” wasn’t first used until a conference in San Francisco in 2010, when Patrick Dubois and John Willis discussed the most effective ways to use automation tools when deploying code updates to live production systems.

Future Trends That Will Affect DevOps

DevOps unites developers and operations to accelerate deployment. DevOps does more than just speed up code deployment—it also improves code quality by cutting down on bugs and giving customers more useful features. Over the past decade, DevOps has also changed as a whole. In the modern era, it involves more than just having developers create scripts for their processes or automate repetitive tasks. It’s important to have a culture, and an understanding of how implementing DevOps practices can benefit the company.

 So let’s examine future trends that will impact DevOps:

Microservices architecture: Apps are divided into smaller units (microservices) that can be created and deployed separately in this type of architecture. With this strategy, businesses can quickly adapt to shifting market conditions by expanding their operations or adding new features without hurting the application as a whole.

Cloud-native technology: This technology uses containers, immutable infrastructure, and microservices to create a new approach to software design and deployment. For DevOps professionals, this innovative approach has many advantages. As a result of having less reliance on a single application or service, they can iterate more quickly. Using the immutable infrastructure also enables developers to deploy changes without interfering with production services.

Automation and CI/CD: IT operations and software development combine to create more reliable, effective, and efficient systems. The rules emphasize cooperation between IT operations and software developers to enhance workflow. Organizations will automate their testing and deployment procedures as they progress toward automating their infrastructure. They won’t have to spend as much time on manual labor and can stay updated with technology.

Less-code apps: They can be modified using drag-and-drop features. This trend will assist businesses in automating business procedures and accelerating delivery. By doing away with the need for onsite maintenance and custom development, this trend will also assist businesses in lowering their IT expenses. It offers a scalable solution for handling workflow and business process changes, which are frequently difficult for many organizations.

Integration of Kubernetes with DevOps: It has become even easier for businesses to integrate Kubernetes with DevOps due to its emergence as a top container orchestration engine. Since Kubernetes provides a flexible platform for application deployment in any environment with any infrastructure or cloud provider, businesses from all sectors have quickly adopted it.

Scope of DevOps in Various Industries

These are the industries where DevOps will have potential in the future:

IT industry

DevOps simplifies processes and makes it easier for developers to introduce new features. The future of DevOps in the IT sector is promising. Employing DevOps specialists is becoming more essential for businesses as it gains popularity.DevOps specialists manage the entire process from development to deployment. They must have a thorough understanding of both the technical and non-technical facets of software development.

Telecommunication

Software engineering and operations engineering techniques are used in the DevOps methodology. It develops products with the highest quality, stability, and security.

Medical Care

DevOps helps bridge the gap between development and operations, often used by businesses for software-based products, but also in other fields like healthcare.

Hospitality

One of the global industries that is evolving the fastest is this one. Technology has made it simpler for hotels to offer better service to their customers and improve the quality of their lives. Even now, some hotels use artificial intelligence (AI) to improve processes like room service and save time and money.

Conclusion

DevOps will help to improve the business’s capacity to produce, introduce, and maintain high-quality software solutions. It will assist organizations in quick automation and focus on continually enhancing results. The development, IT, and business teams communicate effectively due to these trends.

[sohibahmad]

Easy Tips to Understand Angular JS custom software development in 2020

Angular js is one among the leading custom software development on trend in 2020. Angular js also can be an outstanding framework for creating interactive elements and components of an online site. Being on the list of popular JavaScript frameworks improves efficiency, and developers find it most useful for building dynamic programming framework and supporting MVC. Angular has released the foremost recent version, Angular 7.0.

In 2009, Angular JS was created by two developers, Misko Hevery and Adam Abrons, as a side project. Both had originally started the project to make an end-to-end tool that allowed web designers to interact with both the front and thus the rear . AngularJS uses the MIT license, which is extremely flexible for all developers also as companies. it's getting used as a neighborhood for creating SPAs (exceptionally robust, scalable and versatile). The SPA framework is extremely balanced in JavaScript and allows the utilization of HTML as a template language. It empowers developers to make client-side applications. GoodWorkLabs is a software  development outsourcing company with the best Angular JS development team. GoodWorkLabs offers AngularJS Web development and software package development services in San Francisco , India. Goodoworklabs focuses on scalable product and solution events using Angular JS and other JS frameworks like Ember.JS, Backbone JS, and Node.JS, whether for mobile or cross-platform web applications. they consider scalable development and software package development outsourcing, web application or mobile platform solutions. Angular JS is written in JavaScript. the great thing and thus the logic of Angular being popular within the market is that it's a gaggle of ready-made modules to simplify the creation of single page applications. Angular JS tracks the structure of the MVC. We all know that MVC stands for Model View Controller and is one among the favored patterns of software design to develop web applications. Key Features

The main features of Angular JS custom software development are -

Data binding - is that the automated data synchronization between the model and considers the components. Scope - These are objects that ask the model. They act as a glue between the controller and take into consideration. Controller - These are JavaScript functions linked to a specific scope. Services - AngularJS comes with several built-in services, like $ http, to make an XMLHttpRequests. These are singleton objects that are mounted on the device for fewer than one occasion. Filters - Select a subset of things from an array and return a replacement array. Policies - Policies are markers in DOM elements, like elements, attributes, CSS, and more. they're often wont to create custom HTML tags that employment with new custom widgets. AngularJS has built-in directives like blind, ngModel, etc. Routing - is that the concept of switching views. System View Whatever - MVW is usually a design pattern for dividing an application into different parts called Model, View, and Controller, each with distinct responsibilities. AngularJS doesn't implement MVC within the normal sense, but rather closer to Model-View-ViewModel (MVVM). The Angular JS team humorously refers to the present as Model View Whatever. Deep links - Deep links allow you to encode the state of the appliance within the URL so as that it's often bookmarked. The device are often restored from the URL to an equivalent state. Dependency Injection - AngularJS features an inside dependency injection subsystem that helps the developer easily build, understand, and test applications.

conclusion for  Angular JS custom software development

These reasons should provide you with an idea of why Angular is so powerful. Not all web applications should use Angular. as an example , if you're writing a game or a computer-intensive math program, there is no reason for Angular to fit your specific problem domain. apart from generic web applications, it should function a viable framework to develop.

[mingyipcr]

Key parameters and important characteristics of fluorescent quantitative PCR instrument

When purchasing a fluorescent quantitative PCR instrument, several key parameters should be paid attention to:

1. The detection throughput of the instrument (Throughput)

The first thing to consider is the frequency with which the laboratory currently needs to use a quantitative PCR instrument. David Ginzinger, head of genome analysis equipment at the University of California, San Francisco Cancer Center, has tested most of the quantitative PCR machines on the market. He said that if it is not used in large-scale batches, for example, it is mainly used to test known genes, then expensive high-end products are really not needed. But if it is those laboratories that need to find new drug targets and disease markers, they need instruments that can accommodate 384-well plates and run faster. However, just such a high-throughput instrument is not fast enough, and you will find that sample preparation becomes a bottleneck for the speed limit. Therefore, high-throughput laboratories often need further automated instruments. As long as the "click", the instrument will automatically process samples, purify nucleic acids, and prepare PCR templates.

2. The ability of multiple amplification

Multiple amplification is getting hotter and hotter. Real-time quantitative PCR machines are not immune. The high-end quantitative PCR instrument has multiple detection channels, so the instrument can detect the amplification process of multiple templates in the same sample tank. The new LightCycler2.0 has 6 detection channels, 3 more than the original. SmartCycler II has 4 detection channels. Stratagene, famous for its library

products, also has a quantitative PCR machine Mx3000P, which is less than half the price of Roche and has a good reputation, which is 4 detection channels. However, multiple amplification is not suitable for everyone, because it complicates the experiment.

3. software

When you are going to choose a quantitative PCR machine, you must check the accompanying software. Is it easy to use? Is it possible to perform the analysis you need? There are several output formats. However, you need to pay attention to whether the software that is too easy to use has simple functions and cannot perform complex calculations. The previous software still requires you to do further analysis. The new software can already handle everything. In addition to basic functions, some software can also have more functions, such as primer and probe design, multiple analysis design, background correction, data normalization, and so on. Willian Demyan, head of the Application and Technical Services Department of Roche's Applied Science Department, emphasized: Quantitative PCR is a geometric amplification process. At the beginning, the difference between one copy and the result is geometrically different.

4. Flexibility

Although the large-scale busy laboratory equipment is advanced, it is enviable, and the conventional laboratory can also have wonderful choices. The current suppliers have many technical experts, not only understand your current needs, but also consider possible changes in your future requirements very thoughtfully, such as providing a variety of upgradeable accessories and modules. BioRad's MyCycler can select modules and upgrade to real-time quantitative. ABI's quantitative PCR instrument has a variety of different sample tanks, which can change a 96-well tank into a double 384-well tank to meet part of the high-throughput requirements. For laboratories that are just starting to do a small amount of qPCR, the SmartCycler II quantitative PCR instrument is a good choice. A basic module has 16 independent temperature-controlled sample tanks, and 16 completely independent different experiments can be performed at the same time or before and after. Access"; when the laboratory needs a larger-scale experiment, it can be upgraded economically, from 1 to 6 basic modules, that is, 96 sample wells. Although a 96-well plate cannot be used, when a student starts a small experiment, others can plug in and start their own independent experiments at any time without interfering with each other, which increases flexibility. It is a very flexible choice for laboratories that only do a few experiments at the beginning and have a tight budget.

5. Uncertainty

 Although the software can be partially corrected, it is better to buy an instrument with less system error and not require so many calculation corrections than to rely on calculation corrections. Cinzinger believes that special attention should be paid to the differences between the sample holes of the instrument. In addition to the well-known temperature difference between the sample holes, there are also the optical path distance between the sample hole and the detection probe, the slight difference in the length of the optical fiber responsible for receiving and transmitting signals, the slight difference in the distance and angle between the lens and the sample hole, and even The influence of the sample slot on signal transmission. Cinzinger has done the same test on most of the commercially available quantitative PCR machines. He performs real-time amplification of the same samples and reaction reagents in each well of the instrument. Unfortunately, many times, there will be different results between different sample wells.

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3D Metrology Market Is Expected To Witness Higher Demands Till 2025

The global 3D metrology market size is estimated to reach USD 12.6 billion by 2025, registering a CAGR of 8.8% over the forecast period, according to a study conducted by Grand View Research, Inc. Increasing demand for high precision and accuracy in measurement, advancements in 3D metrology systems, growing focus on quality control, and hike in R&D expenditure is expected to fuel the market growth over the forecast period.

The increasing adoption of 3D metrology equipment in industries such as automotive, aerospace, engineering and construction, medical, electronics, heavy machinery, and energy and power is one of the most influential factors behind the growth of the market. The surge in demand for coordinate measuring machine for inspection, measurement, and quality check of various components, coupled with better flexibility, less set-up time, and improved outcomes are expected to play a vital role in the growth of the market. In sectors such as automotive and aerospace and defense, the demand for 3D metrology equipment is particularly high and is subject to strict standardization to reduce measurement errors.

3D metrology is widely used for quality control and inspection applications to ensure smooth production while eliminating any additional costs. Within quality control and inspection, the technbology is used for dimensional analysis, machine calibration, CAD-based inspection, and alignment. The advent of industry 4.0 brings forth the rise of smart manufacturing technologies, which, in turn, adds new and diverse complexities within the inspection process. Hence, smart factories that are being developed will find these manufacturing technologies integral to their success.

Geographically, North America accounted for the highest 3D metrology market share in 2018 owing to established automotive and aerospace industries and the presence of many metrology equipment manufacturers and distributors. The Asia Pacific region, however, is expected to exhibit the highest CAGR owing to an increasing number of automotive and electronics manufacturing units in India and China. Automobile industries utilize 3D metrology for different applications such as quality control and inspection, and reverse engineering.

Some of the prominent players in the market include Zeiss International; Hexagon AB; FARO Technologies, Inc.; KLA Corporation; JENOPTIK AG; Nikon Corporation; KEYENCE CORPORATION; CREAFORM; API Metrology; Perceptron, Inc.; 3D Systems, Inc.; and Intertek Group Plc. These players have taken significant initiatives to increase their consumer reach, mostly through new product launch. For instance, in June 2018, Hexagon AB launched the Leica BLK3D solution for real-time 3D measurement. It enables immediate and precise three dimensional measurements from any image it captures.

Zeiss International, on the other hand, launched the metrology solution for e-Mobility that would provide seamless quality assurance for powertrain in hybrid, electronic, and hydrogen fuel cell vehicles. The company also concluded the acquisition of GOM in June 2019 to further strengthen its leading technological position together with GOM, especially in the area of optical digitization systems.

To request a sample copy or view summary of this report, click the link below: www.grandviewresearch.com/industry-analysis/3d-metrology-market

Further key findings from the study suggest:

The services segment is projected to register a CAGR of 9.1% from 2019 to 2025. The growing demand for calibration and measurement services across various product testing laboratories is expected to further fuel the segment growth

The automotive segment dominated the market in 2018 and is expected to account for over 23.0% of the global 3D metrology market share in 2025. This is owing to growing number of automotive production units and complex vehicle designs in the emerging economies

The Asia Pacific regional market accounted for over 18.0% of the global market in 2018 owing to the increasing automotive production in emerging countries, such as India, and Japan

Prominent market players include Hexagon AB; Zeiss International; FARO Technologies, Inc.; Nikon Corporation; KLA Corporation; JENOPTIK AG; and KEYENCE CORPORATION.

Grand View Research has segmented the global 3D metrology market based on component, hardware, services, end use, and region:

3D Metrology Component Outlook (Revenue, USD Million, 2015 – 2025)

Hardware

Software

Services

3D Metrology Hardware Outlook (Revenue, USD Million, 2015 – 2025)

Coordinate Measuring Machine (CMM)

Optical Digitizer & Scanner (ODS)

Video Measuring Machine (VMM)

3D Automated Optical Inspection System (AoI)

3D Metrology Services Outlook (Revenue, USD Million, 2015 – 2025)

Quality Control & Inspection

Reverse Engineering

Virtual Simulation

3D Scanning

3D Metrology End-use Outlook (Revenue, USD Million, 2015 – 2025)

Aerospace

Automotive

Medical

Construction & Engineering

Heavy Machinery

Others

3D Metrology Regional Outlook (Revenue, USD Million, 2015 – 2025)

North America

Europe

Asia Pacific

Latin America

Middle East and Africa

U.S.

Canada

U.K.

Germany

France

China

India

Japan

South Korea

Brazil

Mexico

About Grand View Research Grand View Research, Inc. is a U.S. based market research and consulting company, registered in the State of California and headquartered in San Francisco. The company provides syndicated research reports, customized research reports, and consulting services. To help clients make informed business decisions, we offer market intelligence studies ensuring relevant and fact-based research across a range of industries, from technology to chemicals, materials and healthcare.