UiPath (NYSE: PATH) today announced it has joined the MuleSoft Technology Partner Program with the release of a MuleSoft Certified Connector for the UiPath Platform. MuleSoft Certified Connectors, accessible on MuleSoft’s Anypoint Exchange, are developed by MuleSoft’s partners and developer community and have been reviewed and certified by MuleSoft. The UiPath connector allows companies to simplify integration to the UiPath Platform and enables them to build seamless automations while harmonizing different integration approaches that address highly complex needs with scale and flexibility.
Customers can address more use cases by combining MuleSoft with the UiPath Platform. This integration makes it easy to invoke or retrieve information from within an application and seamlessly integrate software robots into the local software ecosystem. For example, pre-determined events, such as an account update in a Customer Relationship Management (CRM) system, can trigger a robot to run a specific business workflow.
“UiPath has always been an open platform,” said Dhruv Asher, UiPath SVP of Business Development and Product Alliances. “Our partnership with MuleSoft provides customers more choices across their automation journey and demonstrates our continued investment in the Salesforce ecosystem.”
The MuleSoft Technology Partner Program includes leading enterprise software companies across both functional applications, such as CRM, enterprise resource planning (ERP), marketing automation, and HCM, as well as across industries, including financial services, healthcare, retail, and media and telecom. Using MuleSoft, technology partners help customers achieve greater speed, agility, and efficiency by making it possible for companies to turn every asset in their organization – data, bots, and applications – into reusable building blocks to scale and increase the speed of work.
MuleSoft customers can learn more about the MuleSoft Certified Connector for UiPath by visiting https://www.mulesoft.com/exchange/com.mulesoft.connectors/mule4-uipath-connector/.
UiPath customers can learn more about how to integrate data from siloed apps and systems faster and automate complete workflows more efficiently with MuleSoft at: https://www.mulesoft.com/platform/enterprise-integration.
UiPath has a vision to deliver the Fully Automated Enterprise™, one where companies use automation to unlock their greatest potential. UiPath offers an end-to-end platform for automation, combining the leading Robotic Process Automation (RPA) solution with a full suite of capabilities that enable every organization to rapidly scale digital business operations.
MuleSoft is a registered trademark of MuleSoft, Inc., a Salesforce company. All other marks are those of respective owners.
Coventry University is using MuleSoft technology to break bigger systems into data-led services that can meet the fast-changing requirements of students around the globe.
The fast-growing institution – which teaches students offline in Coventry and at other campuses, as well as providing online lessons to individuals around the world – is looking to build a digital foundation for continuing business change.
The organization is using MuleSoft’s integration platform to support Agile transformation processes. Then, when the institution wants to change direction, the business won’t be held back by legacy technology systems. Stephen Booth, the university’s CIO, says:
What we've had across all of our systems is big monoliths that are difficult to change. We have a giant student records system that connects to a finance system, and we've got lots of these bits of string gluing different systems together, such that every time you try and change something, it's a huge amount of work. Putting in something like MuleSoft lets us break up those monoliths into smaller systems that we can change a piece at a time and it simplifies the way in which we integrate data.
Booth says MuleSoft’s platform provides a degree of surety. Having a single integration point means that, when the IT team makes changes, they know how systems and services are going to work, so testing is reduced and speed is increased:
It's built on top of a cloud stack. As well as the platform, you typically get a customer success architect who will work with you to implement that platform. You get a lot of pre-formed patterns of use, so best practices that have been codified into how to achieve integration. And they have training programs, whereby you can get your own staff up to speed, so that they can operate on the platform and be certified.
Coventry has been live on MuleSoft for about 18 months. Before implementing the platform, the university undertook a full tender process and a proof-of-concept evaluation, during which it narrowed down potential vendor partners from 10 to three. MuleSoft was chosen because it offered the most complete solution, recalls Booth:
It wasn't the cheapest in terms of cash on the day, but when you look at total cost of ownership, because MuleSoft is fully formed with all these connections, you can be more productive more quickly. Some of the solutions were like a box of Lego bricks. They can do everything, but you've got to build it all yourself. We're also a Salesforce customer, so there's a fairly natural synergy there in terms of the platform as well.
The biggest project running on the platform to date is the university’s Student Engagement Program, which aims to re-imagine the way in which Coventry works with its undergraduates and postgraduates. Booth says too many academic systems focus on the requirements of staff and he wants to develop a student-centric approach:
We've looked across the entire student lifecycle, not just being a student applicant. So, starting from initial first contact through to recruitment, attraction, enrolment, support and being alumni at the other end, we've tried to look at the whole lifecycle and to re-envision that.
That approach has entailed a rewrite of the university’s legacy student records platform, which had become large and unwieldy. The aim is to create a system with a more social dimension that allows the university to support communities of interest. Booth’s team started this process by focusing on the admission process, which meant building integrations with the legacy student records platform:
We can't just switch it off. And that's where MuleSoft comes in and sits in the middle. If you imagine a successful applicant joining Coventry, they have to register with us on our virtual-learning environment, pay course fees and enrol in the student records system. All those things require integrating and that's what we use MuleSoft for.”
The technology provides other benefits, too. As well as a platform for Agile transformation, Booth says MuleSoft has boosted service robustness. He cites the example of a major finance system upgrade, which his team had to run during Coventry’s main enrolment period:
In the past, we'd have had to make a hard choice of slowing transformation down or interrupting enrolment for a day and all the problems that brings. With MuleSoft, we were able to do that upgrade, and take the finance system down, without impacting enrolment. So, we've seen that improvement in overall service availability as opposed to maybe system availability, and that's such an important transition to be thinking in service terms rather than just system terms.
Booth also points to the ability to drive further transformational change. The legacy student records system has 180 integrations with other systems. By the time his team has finished their re-imagination and rewriting work, Booth envisages that number will be down to 40:
That is a massive improvement in our ability to maintain the platform and to change because we've got fewer things to test.
The university’s long-term plans for integration include replacing the entire legacy student records system, which will probably take another two-to-three years at least. The institution is currently adopting SAP SuccessFactors as its HR system. Booth says they’re integrating SAP with the university’s wider business environment through MuleSoft:
The vision is to put MuleSoft and integration at the centre to enable continual change. There are future capabilities of the platform we're also interested in. They're bringing out some RPA technology in terms of automation that we will get into but right now the focus is on making it the centre of our integrated ecosystem.
Booth’s main advice for other CIOs thinking about implementing MuleSoft is to avoid seeing the platform as just another technology project:
The really powerful thing for us has been the fact that it's enabled an operational change to an Agile delivery model. So, don't lose the opportunity to change the way in which you work because that's where you’ll really see benefits and that is where you can really start to deliver a meaningful digital transformation as opposed to just putting in the next shiny bit of tech.
Scikit-learn helps people comprehend the basics of machine learning; and it's easy to use. Some experience in the programming language Python and a basic understanding of statistics will let users to do a lot.
There's an extensive library of standard machine-learning tools available through Scikit-learn. Companies use it for models to bucket customers into groups or predict which customers are about to leave.
There isn't a certificate for expertise in Scikit-learn because it's a fundamental part of the field. But many core machine-learning and data-science certificates like those Amazon and Microsoft offer will dig into Scikit-learn.
Machine-learning experts need a basic understanding of statistics and probability. Modern machine-learning algorithms rely on those methodologies to help predict trends.
SciPy provides data scientists and machine-learning experts with tools for managing statistical analysis. That includes the tests they use to understand if the trends they see are significant or are flukes, a methodology called hypothesis testing.
There isn't a certificate for understanding the statistical underpinnings of machine learning, but there are courses that cover the basics on learning platforms like Udemy.
Intermediate Python knowledge can get workers far in data science, but moving on to complex machine-learning problems requires understanding more intricate parts of the programming language.
Machine-learning experts need to know how to use Python-based packages like NumPy, a way to run algorithms on extensive datasets with many data types. For example, NumPy can help predict what a user might do with a product based on thousands of different data points.
While Python is a preferred language, many companies and institutions use another statistical-programming language, like R, instead. Most packages that work in Python also work in R.
The Python Institute offers certifications in more advanced Python skills.
Most statistical analysis in Python will use a tool called Pandas, which lets programmers manipulate large datasets. Programmers can arrange data in columns and rows, though each entry can contain any data type.
Pandas produces graphic representations of data with visualization platforms like Matplotlib or Seaborn. That gives machine-learning experts a way to see any trends in the data and present it internally if needed.
There isn't a certification for understanding advanced Pandas usage. It's typically wrapped up in core certificate programs and data-science courses like those the learning platform DataCamp offers.
Google brought AI to a more general audience in 2007 when it launched the open-source software platform TensorFlow. While TensorFlow is still ubiquitous, the open-source platform PyTorch has quickly emerged as a favorite among machine-learning experts and enthusiasts.
Machine-learning enthusiasts looking to break into AI should have a strong understanding of the strengths and weaknesses of these frameworks.
Machine-learning frameworks like PyTorch and TensorFlow are both highly flexible languages. But there are tools that work with the platforms to reduce the complexity and focus specifically on problems like deep learning.
Keras is one of the most popular frameworks that sits on top of TensorFlow, opening up more complex techniques for a broader audience. Users can create deep-learning models with the framework.
Most machine-learning analysis doesn't happen on a laptop. Instead, it will occur on a cloud server, if not many of them.
Some machine-learning cloud tools like Google Colab are readily available, especially using TensorFlow. But many companies may be tied to Amazon Web Services or Microsoft Azure, and knowledge of those AI tools will be necessary to handle immense amounts of data.
Certifications like those for Amazon Web Services' machine-learning specialty cover how to handle those problems. Microsoft also offers the Azure data-science associate certification.
Docebo is one of the best learning management systems for corporations, thanks to features such as social learning, Salesforce integration, mobile learning, e-commerce, free extensions, custom domains and artificial intelligence. Its more than 400 integrations include Adobe Connect, Confluence, Dropbox, Evernote, Facebook, G2, GitHub, Google Analytics, PayPal, Stripe, Trello and WordPress.
Who should use it:
Businesses that need social learning features will appreciate Docebo.
Demand for time-saving automation from business teams has increased in more than 90% of companies
New easy-to-use solution combines MuleSoft RPA and MuleSoft Composer to automate complex business tasks across legacy and modern systems
ADT, AT&T, Bayer Crop Science, and Western Union are using MuleSoft to drive business growth and increase operational efficiency, productivity, and agility
NEW YORK, June 29, 2022 /PRNewswire/ -- MuleSoft CONNECT 2022 – Salesforce, [NYSE: CRM], the global leader in CRM, today introduced the next generation of MuleSoft, a unified solution for automation, integration, and APIs to easily automate any workflow so any technical or non-technical team can adapt to constant change and business complexity.
The solution now includes no-code capabilities to automate repetitive manual tasks using bots with MuleSoft RPA (robotic process automation) and to quickly connect data from any system, such as Slack, Stripe, and Workday, with MuleSoft Composer. The new capabilities are fully integrated into Salesforce Flow1, a complete suite of automation technologies across the Customer 360 to help save time, increase productivity, and deliver better experiences. Business teams like sales can close deals more efficiently and service agents can quickly sync customer records to Strengthen customer service interactions.
"As an integral part of Salesforce Customer 360, MuleSoft helps companies integrate complex systems and data, while expanding the universe of people who can use automation across any system or workflow," said Shaun Clowes, Chief Product Officer, MuleSoft. "The result is empowered business and IT users, from sales and customer service to HR and finance, who can do more with less – quickly creating workflows and integrations that drive efficient growth and faster time-to-value."
Modern, easy automation and integration bring the future of work to every team
With macroeconomic uncertainty across markets, hiring, prices, and more, businesses are focused on efficient growth, cost savings, and productivity. More than 90% have seen a rise in demand for time-saving automation from business teams over the past two years, according to new Salesforce research. However, the all-digital, work-from-anywhere world has increased the number of systems and amount of data companies must manage and connect, creating integration roadblocks to automation progress. And when new systems are needed or business requirements change, 96% of companies find it difficult to modify existing automations.
MuleSoft Automation addresses those concerns with capabilities that allow customers to:
Salesforce customers drive value for their employees, customers, and business with automation
Salesforce customers are running 4.8 billion MuleSoft transactions daily and decreasing operational costs by 74%, while saving over 100 billion hours of work every month with Salesforce Flow.2
Across industries, customers are using Customer 360 with MuleSoft to automate workflows at scale and enable business growth:
Pricing and Availability
1Flow Integration and Flow RPA are built into Salesforce Flow. Flow Integration is powered by MuleSoft Composer, and Flow RPA is powered by MuleSoft RPA.
2Multiply the assumed human capital needed to execute a typical process by the total number of processes automated in March 2022. The calculation assumes $20/hr, and 5 minutes of time saved. Money saved = # processes * (assumed money saved/process = $20/hr*5min/process or $1.67/process) = 1,311,913,101,975 processes*$1.67/process = $2.1908949e+12. Time and hours-saved calculations are based on the number of processes automated in March 2022, multiplying the assumed time (5 minutes) and cost ($20/hr) to complete a typical business process. Hours saved = # processes * (estimated avg time saved/process = 5 min) = 1,311,913,101,975 *5 min = 109,326,091,831 hours.
Salesforce, the global CRM leader, empowers companies of every size and industry to digitally transform and create a 360° view of their customers. For more information about Salesforce (NYSE: CRM), visit: www.salesforce.com.
Any unreleased services or features referenced in this or other press releases or public statements are not currently available and may not be delivered on time or at all. Customers who purchase Salesforce applications should make their purchase decisions based upon features that are currently available. Salesforce has headquarters in San Francisco, with offices in Europe and Asia, and trades on the New York Stock Exchange under the ticker symbol "CRM." For more information please visit https://www.salesforce.com, or call 1-800-NO-SOFTWARE.
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RALEIGH, N.C., June 28, 2022 /PRNewswire/ -- Green Irony, a Raleigh-based tech consulting company and strategic MuleSoft partner, has launched Revive - an offering tailored to help MuleSoft customers whose business objectives have been derailed by failed deployments and flawed integration architectures. This launch is a response to significant market feedback.
"Unfortunately, we're seeing a large install base of MuleSoft customers where low-cost partners did not set them up for success. This is highly disappointing to us since we've always seen MuleSoft as a strategic platform that lets customers invest in solving digital transformation's top technology problem: scalable systems integration. The approach of throwing under-skilled labor at a platform like MuleSoft without a foundation is counter-productive, and many customers have paid the price and missed high-level business goals because of it."
- Aaron Shook, Founder & CEO of Green Irony
Aligning with MuleSoft CONNECT 2022's themes of innovation and driving business outcomes, Revive's purpose is to rescue customers struggling to thrive and realize the full potential of their MuleSoft investment. The Revive program leverages state-of-the-art artificial intelligence to quickly identify all APIs within an enterprise's IT environment and diagnose issues to quickly get customers back on track.
Through the Revive offering, Green Irony's team evaluates the customer's existing architecture, utilization of MuleSoft capabilities, development best practices, and upcoming roadmap to maximize the use of Anypoint Platform with architectural patterns that meet business objectives.
"Anypoint Platform is not a magic wand. Its true power lies in giving companies the ability to design APIs more strategically to align with business goals. By using artificial intelligence, Revive lets us quickly diagnose what went wrong and make recommendations for how we can get back on track. We're very excited to help this underserved segment of the MuleSoft customer base realize their original visions of scalable, API-led integration fueling greater business agility."
- Aaron Shook
Revive deliverables include a distillation of Green Irony's findings through a platform assessment and an in-depth implementation plan that includes budget, resourcing, and timelines required to meet business objectives.
About Green Irony
Green Irony is a Raleigh-based tech consulting company specialized in building integration architectures to enable digital transformations. They help clients align business goals to scalable technology solutions in partnership with world-class platforms to deliver rapid value. These partners include MuleSoft, Salesforce, Noname Security, and FormStack.
Green Irony was founded in 2016 as a Salesforce partner when they saw the capabilities of the platform to drive business value to stakeholders quicker than any other technology when applied correctly. They set out to build an organization best equipped to deliver on the promise of this world-class software by combining best-of-breed technology expertise with platform expertise to address the challenges of complex enterprise software environments.
To learn more about Green Irony's expertise, Revive, and other service offerings, visit greenirony.com.
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SOURCE Green Irony
Software engineers are critical to Salesforce and earn some of the company's highest salaries. This category made up a majority of the H-1B visa data. Salesforce hires engineers to work on its core business applications like Sales Cloud and Service Cloud, its platform technology, collaboration features within Salesforce's apps, and developer tools for its own team to use.
The roles below are general, and more specific platform and security engineering roles are broken out into other sections.
AMTS stands for associate member of technical staff and is often an entry level engineering or technical position. Similarly, MTS means member of technical staff, and LMTS means lead member of technical staff. These are some of the job titles that appeared most often, with some notably high paying roles.
This category also includes the highest paid hire in the data: the senior director for software engineering in California who was offered $330,000.
Software engineers and developers
Software engineer: $120,000 to $215,000
Senior software engineer: $151,041 to $219,565
Software engineering AMTS: $119,350 to $144,000
Software engineering MTS: $105,000 to $180,000
Software engineering SMTS: $105,040 to $220,000
Software engineering LMTS: $142,500 to $265,000
Software engineering PMTS: $224,000 to $300,000
Lead software engineer: $215,280 to $257,088
Principal software engineer: $250,000 to $275,000
Software engineering architect: $287,040 to $325,000
Engineering and software development managers
Manager, software engineering: $137,000 to $218,360
Senior manager, software engineering: $154,122.80 to $245,863.58
Senior director, software engineering: $283,717 to $330,000
Director, software engineering: $231,100 to $267,008
Director of engineering: $285,000
As a cloud software company, Salesforce hires a lot of engineers to make sure its products are secure and easily accessible.
The following roles are part of Salesforce's engineering department but focus specifically on security, reliability, and systems engineering across all of Salesforce's products.
Site reliability engineer: $153,000 to $195,000
Systems engineer: $113,568 to $128,790
Senior systems engineer: $129,500 to $210,000
Performance software engineer: $165,000 to $200,000
Network security architect: $300,000
Network engineer: $125,000
Lead network security developer: $244,000
Other specialized roles in Salesforce's engineering department include developers for Salesforce's platform of apps and data scientists. Salesforce has a massive platform of outside applications that can be used alongside Salesforce's core tools, and easily customizable tools for customers to create their own apps.
Additionally, data, artificial intelligence, and machine learning are key to how Salesforce continues to evolve its products. Its artificial intelligence software Einstein helps users automate mundane tasks, track trends about customers, and predict how customers will respond to various company outreach methods.
These are some jobs across the platform and data science teams that were included in the H-1B visa data.
Salesforce developer/admin: $140,000
Tableau business intelligence developer: $180,000
Salesforce platform developer: $160,000
Senior data scientist: $190,000
Data engineer: $118,450 to $180,000
Data platform engineer: $152,300
Director, data science: $275,600
When Salesforce signs on customers, a big part of the process is implementing the technology and making sure it works for the business. Salesforce has a large team of consultants and architects that help customers with these steps.
These jobs are critical to making sure customers are getting the value they need out of Salesforce's products and keeping customers happy.
Solution architect: $140,000 to $173,000
Technical architect: $150,000 to $225,000
Program architect: $160,000 to 196,860
Senior technical architect: $144,506.88 to $210,000
Senior technical consultant: $122,315 to $148,750
Product managers also have some of the highest salaries at Salesforce, according to the data. Product managers generally manage the process of rolling out a new product, including planning and troubleshooting, as well as figuring out the strategy for how to convince customers to buy it.
Product manager: $121,800 to $190,000
Senior product manager: $170,000 to 245,000
Director, product management: $197,980 to $284,000
VP Strategy and innovation: $270,000
Strategic account partner, VP: $320,000
While there weren't a lot of marketing and sales roles in the H-1B visa data, these jobs provide a glimpse of the salaries offered in that department.
Manager, sales strategy and operations: $134,227 to $145,500
Account executive/Strategic account executive: $99,000 to $175,000
Senior marketing manager: $165,000 to $172,780
Director, product marketing: $215,000