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Tech & Innovation Blog
Roberto S. Named ADP Inventor of the Year: This is How We Roll
Innovation, Future of Work, What We Do
We thrive on innovation and turning ideas into action. Anyone can be an inventor and an innovator.
When Roberto S. joined ADP, he never imagined how far he’d “Roll.”
He started his ADP journey by working as a Machine Learning Engineer. In May 2022, he moved from the Brazil Labs to the Innovation Lab in Roseland and was awarded the ADP 2022 Inventor of the Year.
ADP’s Inventor of the Year recognizes an associate who develops products with great features. Tech associates submit a summary of the invention to the ADP Patient Program, providing a unique solution to a challenge.
Roll is the first digital AI/ML HCM solution for small businesses, offering payroll, time and attendance, and more. Everything a small business needs for running HR & payroll in a simple chat-based mobile application. Roberto’s patents have driven Roll from an idea on a whiteboard to a real in-market offering.
“Roberto’s contributions to ADP and, specifically, Roll, has been invaluable, and how he focuses on driving technology forward and innovating to create new technology makes him so successful,” Roberto Masiero, SVP of Innovation, said. “It’s no surprise he’s been named the Inventor of the Year!”
ADP recognizes the hard work and innovative efforts that go into filing a patent application. Every inventor named on a patent application receives a monetary award for each utility and each design. Roberto was chosen based on his contributions, providing technically detailed and sound documentation.
Machine Learning in Roll
The machine learning models Roberto designed for Roll use a chat interface to interact with clients. In the process, Roberto and his team developed a variety of NLPS (Natural Language Processing) technologies for Roll in the intent classification, questioning, and answering domains.
On a weekly basis, the team meets to discuss strategic and tactical developmental ideas for Roll, including a technical paper reading session, in which they collectively brainstorm ideas to help make a better application.
“Developing technologies for Roll is a never-ending process of asking questions and learning,” Roberto said. “This is a team effort. I’m only the messenger and sometimes the guy poking everybody with links and technical articles.” On the team, he gives kudos to Guilherme G., Roberto C., Carlos N., and Juliano V.
The Team’s Patent Process
Roberto sees the patent process as a method to transform ideas into a formal document that will increase ADP’s innovative power on the market. “There is always a great team working behind the scenes to help engineers describe a solution and ensure this initial description will make it to a patent, with all the legal aspects covered,” Roberto said.
As the Inventor of the Year, Roberto encourages other inventors to keep in touch with the patent team to understand the process and give their ideas a try.
Advice for Technologists
“My career journey has been a remarkable, fun 5-year ride at ADP,” Roberto said. “If you’re considering a tech career, I’d encourage you to apply to ADP because this is where you can bring your ideas forward, receive feedback, and try new things.”
Transformation is at the heart of what makes ADP unique. With innovation rooted in our values, ADP continues to provide opportunities such as our patent program, showcasing ideas from associates at all levels.
“It is always important to ask yourself how the idea will benefit ADP,” Roberto said. “Keep your minds open and study new areas and domains. Sometimes the innovation happens in the intersection of domains of expertise!”
#MachineLearning #MachineLearning #HCM #Technologists #Roll #Inventor
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Tech & Innovation Blog
Workforce News Minute: How will innovation shape the world of work in 2023?
Innovation, What We Do, Future of Work
Accessible Video Controls
Workforce News Minute: How will innovation shape the world of work in 2023?
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More and more, what we will see
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going forward is, you know, personalization
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becoming more and more ubiquitous across all the disciplines of the world of work.
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And we use data.
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We use machine learning.
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We use A.I.
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to create these models that can be tailored
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to you, that individual worker.
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And with that, we’re going to move from
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sort of this world that HR is, you know,
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a world of rules into a world of exceptions.
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Managing each associate as its own person with its own set of,
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you know, personalization aspects to the world of work.
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That’s the way I see it.
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More and more, we will have this diversity of behaviors
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on the relationship between the employer and the employee.
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Innovation remains in the spotlight as businesses prepare for the future of work. How will new ideas and new tools meet emerging expectations of workers?
In this Workforce News Minute, Roberto Masiero, Senior Vice President of ADP Innovation Labs, talks about how data-driven tech will make work more personal in 2023.
For more insights, subscribe to the tech blog and receive monthly newsletters from us.
Tech & Innovation Blog
Data Privacy: The Future is Now
Innovation, Tech Trends, Career Insights
As a leader in the industry that collects a wide range of data from employees, we ensure the information is safe with us.
Say you met a technologist at a hackathon and want to connect with the person more. Instead of exchanging business cards like before, you’ll likely pull out your phone and exchange information digitally.
From LinkedIn profiles, Instagram usernames, hometown, and family relationships to mentions in articles from years ago, the internet and digital world do not erase one’s footprints in most cases.
With all information and data becoming digitalized in the 21st century, it’s time to utilize them in a way that’s never been done before. Data is not just your social media photo or where you went for vacation; it can be numbers and confidential information from financial to hospital records.
We recently had the opportunity to speak with Xiaojing W., our Distinguished Engineer who advocates for data privacy and user-respectful interactions. She shared with us some ways she keeps applications safe and secured at ADP.
Why Data Privacy is important
By Xiaojing W., Distinguished Engineer
On September 7, 2017, a consumer credit reporting agency announced that it had breached the data of approximately 143 million U.S. consumers, including customers’ names, dates of birth, social security, driver’s license, and credit card numbers. These incidents resulted in a loss of consumer trust, therefore, future business opportunities.
ADP takes pride in building applications that put customers’ privacy first with holistic security and privacy practices. In fact, our Chief Data Officer developed a holistic privacy framework instilling the privacy culture and centrally managing the practices in daily data operations. 
Here are some of our methods:
- Identification and classification of sensitive information as a part of data governance and management
- Implementation of enterprise-level and system-level data observability/monitoring
- Safeguarding information through various data security controls and advanced technologies such as privileged access management credential choices, secured APIs, file shares, and encryption through data’s entire lifecycle Implementation of Data Management Capability Assessment Model (DCAM) measurement processes to make privacy and security auditable
When it comes to creating a trusting experience for users, we have five best practices to share:
- Engage users in setting the privacy boundaries they want while getting the desired functionalities.
- Build a consistent consent model whenever we collect or use data
- Always include a system of consent receipts for auditing
- Bring full transparency and visibility into why we collect the data, how the data is processed/stored, and with whom we share the data
- Practice minimal data collection and store only the necessary data for future operations
With over 1M clients (about the population of Delaware in the United States), ADP pays more than 38M workers worldwide (about the population of California in the United States), and just in the US alone, we reach nearly 20% of the private US workforce.
As a leader in the industry that collects a wide range of data from employees, we make sure the information is safe with us. At the same time, we pay attention to the design process, ensuring a safe, user-friendly experience for everyone involved.
Here are five design patterns for creating user-respectful and privacy-aware interactions:
- Users must actively opt-in to having their data collected and used
- Users must give consent to every type of data processing activity
- Users must be allowed to withdraw their consent easily at any time
- Users should be able to check every organization and all third parties that will handle the data
- Use just-in-time data collection
Tech Trend: All about Data
Data is always changing, which means more people want ways to keep their information private. This has led to the development of new techniques that preserve user information in large datasets.
Here are four types of technologies that are getting attention in the industry:
- De-identification: we remove or encrypt PII and CII. Multiple techniques, such as tokenization, K-anonymization, and pseudo-anonymization, are provisioned within a Single Global Data Platform (SGDP).
- Differential Privacy: The idea is to add a layer of privacy by adding noise to the original data sets. The new sets make it extremely difficult to infer information about a single individual, while the accuracy of the data analysis and machine learning tasks is not compromised too much.
- Synthetic Data: is algorithmically generated data that mirrors the patterns and composition of the original dataset. Synthetic data can be significant for engineers to test with production-like data. It is also widely used for training the machine learning models used in fraud detection systems and applications with no data or hard-to-get initial data.
- Zero-knowledge proof: Utilizing cryptographic technology, a claimant can validate assertions of confidential information to its verifier without disclosing the details. By leveraging blockchain-based decentralized identity ledger, individuals and companies can easily control who has access to their digital identities. This provides trustful proof of identity, making it easier for users to manage credentials across the web securely.
You may ask, how does the new landscape in data privacy change our product design thinking?
To better understand our clients and the needs of their employees, we must have a comprehensive view of who they are (i.e., profile data) and what they do, and how that impacts their day-to-day (i.e. behavior).
By following HBR‘s new data privacy rules, our products will empower users with trustworthy technology solutions.
Our private permissioned blockchain also safeguards highly sensitive personal data while simultaneously allowing individuals complete control. This innovative technology enables ADP to craft new products and services that benefit employees and clients.
Closing Thoughts
Data privacy isn’t the Privacy Officers’ job; it’s a collective responsibility. As engineers who are often tasked with the technical aspects of securing sensitive data, we must understand the landscape of privacy-enhancing tools and technologies.
Keep in mind that we must stay up to date with the changes in the data industry as our users trust us with their information. Taking care of the trust and protecting the data should be everyone’s top priority.
#Data #DataPrivacy #WomeninStem #Automation #UserExperience
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Tech & Innovation Blog
AI Art: Will it Disrupt the World as We Know it?
Innovation, Tech Trends, Machine Learning
If Picasso were to be alive in 2022, would he use Artificial Intelligence technology to make art?
AI Art: Will it Disrupt the World as We Know it?
By Amy H. Chiu, Tech Brand Content Developer
I can’t help but wonder, if Picasso were to be alive in 2022, would he use Artificial Intelligence (AI) technology to make art?
With a background in visual arts, I spent sleepless nights in the art studio, sketching and studying every brushstroke. Every step in the art creation was filled with unexpected beauty. A small drop of black ink could alter the entire canvas. In traditional art forms, there was no control + z key to undo changes.
I remember Adobe visited my art community years ago and showcased a variety of digital tools from Creative Cloud. The tutorials broadened my horizon and challenged my definition of art. I experienced the power of switching pen tools and colors on the screen, including the accuracy and consistency of texture in design. The techniques would have taken hours and days in a hands-on studio, considering mixing colors, cleaning the tools, and using multiple mediums come at a cost.
Little did I know, that was just the beginning.
Fast forward to 2022 – all it takes is a few keywords and programming languages to create art.
An AI-generated work, “Théâtre D’opéra Spatial,” won first place in the digital category at the competition. Credits to Jason Allen
Several weeks ago, a Colorado-based artist sparked controversy when they submitted a piece created using artificial intelligence (AI) and brought home a $300 First Prize.
By harnessing the power of machine learning algorithms, artists can now create works that would have taken hours and years to complete with traditional mediums. That said, what are the pros and cons of relying on algorithms? Let’s look at what we know about AI art and its impact.
What Defines AI Art?
AI art is any artwork created partially or entirely by artificial intelligence. In most cases, AI art is generated by algorithms, meaning artists write code or use software for the machines to learn. The algorithm then captures the style and aesthetic the artists want by reviewing thousands of existing paintings before generating one.
One of the most famous examples is “The Painting Fool,” a software that generates artwork digitally and paints in various styles. It was created by Simon Colton of Imperial College, London. Further reading: Painting Fool’s portfolio reveals artificial artist.
The Algorithm to Make AI Art
When you make AI Art, you will encounter a class of algorithms called Generative adversarial networks, or GANs. They are composed of a generator and a discriminator. The generator creates images from scratch while the discriminator evaluates them and determines whether they’re real. Both the generator and discriminator get better at their respective tasks, resulting in increasingly realistic fake images.
In other words, one may generate photographs of human faces and realistic images of animals that don’t exist in the world. GANs also translate images from sketches to color photographs and texts to images. For example, users may put in: “a small bird is purple with green and has a very long beak,” and get realistic photographs that match the description in the output. Read more examples here.
If you want to try GANs, here are a few steps. Step one is selecting several authentic images for training. Next, generate a few fake images using the generator. Step three is training the discriminator to use both real and fake ones. Lastly, generate more fake images and train the full GAN model using only counterfeit images. You may find detailed instructions and working python code here.
The Scary Side of AI Art
Technologies are evolving. They are convenient yet dangerous.
My biggest concern as a creator is to see people lose their respect and appreciation for artists. Although one may romanticize and say art is about the process and the original ideas behind it, the result matters, especially for agencies that hire graphic designers and advertising experts.
“Art? I can do that in 20 seconds with a detailed description in AI.” Hearing comments like this has impacted the motivation and the reality of artists. That’s when I think about the cost and effort art students pay to attend art schools.
What will the Dean tell future art students on their graduation day? ‘Good luck finding an art job out there and doing better than AI’? Although this may sound a little extreme, the concern remains as there are already limited career opportunities in the field.
My best friend attended the Otis College of Art and Design to become a fashion designer. The annual tuition on a full-time basis for 2020/2021 is $69,532. She always drew fashion illustrations on tablets and paper. Every shade and every detail mattered. Handing in the illustration collection late could result in a lost opportunity in a competitive internship.
If AI could do what she learned in four years and at a much faster speed with more pattern selections, was it worth it for her to pay the tuition and go through the training?
The Cost of AI Art
With AI Art in place, how does one price the work? Is it based on the artist’s fame, artwork’s material, time spent, or simply how “good” the art looks?
In 2018, an algorithm-generated painting sold for $432,000 at Christie’s, one of the world’s largest auction houses. The ‘painting’ was created by a designer using a computer. The news sure sparked intense conversations in the art communities. How should AI impact the value of the art generated? Should it be worth less? Then again, look at the price of NFTs (Non-Fungible Tokens). Need we say more?
AI-generated art challenges the definition of what we call ‘art.’ Consider how NFTs and AI art are created and sold. Both use algorithms, which are a set of rules. How they are applied can produce different and unique results, sparking inspiration and controversial debates. Only time will tell what else AI can do in the realm of art, but one thing is for sure: it has brought us closer to the future.
AI Art Continues to Evolve
AI art is still relatively new, and there’s much we don’t yet know about it. However, AI is profoundly impacting the art world—creating new types of artwork and how experts judge artwork in competitions.
“I see the power in AI Art, and that makes me want to support and protect traditional artists even more,” Srinivas P., the Sr. Mainframe Developer, said. “There could be a different category for AI-generated artwork in future competitions.”
Srinivas and I also connected with Sangeetha G., an artist specializing in character drawing. “Live art competitions would be great opportunities for people to see the value of traditional art. Creating-in-progress is something computers do not show.”
Computers didn’t develop the painting concept solely on their own. AI still requires human involvement before generating the result. The algorism can take a photo of a seascape and apply the style of van Gogh’s “Starry Night.” If the user is unhappy with the result, edit the input by changing a few words and generating the “perfect” one.
It’s fair to ask: are we creating art or playing a puzzle game?
For now, the ability to produce something entirely new from scratch separates us from machines. In the future? Maybe not so much.
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Tech & Innovation Blog
NFTs: The Price of Bragging Rights
Innovation, Tech Trends, Machine Learning
If buying an NFT does not give you the right to reproduce and sell copies, what exactly do you own?
NFTs: The Price of Bragging Rights
Why would someone spend $2.5 million on a Link to a JPEG?
You might have already seen examples of NFTs like funny ape drawings or celebrity avatars used as an account holder’s picture on Twitter. So, who would buy a personalized digital token of a dancing bear in a tutu? Is it worth $2.5 million dollars? What value are you really getting?
First, a quick definition of an NFT:
Non-fungible token (NFT)
noun
Units of data that are stored on a blockchain. People can buy and sell NFTs; they can be associated with unique digital files such as photos, videos, and audio.
What is the difference between buying an oil painting at a gallery and buying a bunch of 2D digital pixels?
Here’s the definition of ownership.
If you purchase a painting from a gallery, you get to take it home and hang it up in the physical world we live in. You OWN the original painting. All others may have photos or even reproductions, but they will never have that one piece of unique physical canvas. For example, Picasso’s original artwork will always be Picasso. People cannot recreate the same exact painting.
NFT Buyers:
If you purchase an NFT, which could be anything from JPEG to a screenshot of a tweet, it does NOT make you the owner of the “art,” it only gives you the right to claim partial ownership. Buying an NFT does not give you the right to reproduce it and sell copies. Buyers showcase immutable public transactions on the blockchain to prove ownership. Read more: NFTs – what exactly do I own?
It’s worth pointing out that although the owner has the right to use the NFT EXCLUSIVELY, a copy of the digital art can literally ‘look’ as good as the original when people take screenshots to copy and paste the images. With a right-click to save, the copies of digital files are precisely the same as the original NFT. It comes down to the owner bragging about whether they own the original NFT.
NFT Creators:
For NFT creators, you have the right to reproduce, distribute copies, and display the work in public. However, the NFT royalties work differently. Creators earn royalties through subsequent sales in the secondary market. The transaction occurs without the need for any intermediaries. Remember, not every NFT generates royalties. Everything needs to be written on the smart contract; otherwise, the creator has no claim. Read more: What are NFT royalties?
Why do people go crazy over these?
Let’s break it down.
An NFT gives you a token of ownership on the blockchain. Rather than supporting an artist by donating to them on PayPal or BuyMeACoffee, you can support them by purchasing their NFTs in exchange for documenting your purchasing record on a public, visible ledger. A second benefit, buying an NFT may appeal to collectors who gain pleasure from owning rare, digital goods. A third benefit is that each NFT has a market value, and anyone can buy/sell NFTs. For starters, it is more accessible than investing in the housing market. New to NFTs? Here are some options to store them.
Risks in NFTs
But before you dive right in, consider the risks of buying and selling NFTs. If you want to purchase one to support an artist, ask if the value you derive from ownership aligns with what it means to own an NFT. There are business opportunists who create NFTs from written codes, disregarding the meaning of art creation. For example, the 10000 Lazy Lions NFTs with different combinations of eyes, clothing, and mane are made from randomly generated codes instead of careful craftsmanship from artists.
Another danger is the way we are using NFTs. Before the pandemic, everyone from organizations to influencers jumps on trends trying to chase the cash. For example, agents have produced NFT from past photographs and artwork of the famous deceased to “celebrate” their legacy using them in the NFT market.
Many are predicting this could be the next housing bubble. Has it started to crash? What do you think? Something to consider before purchasing that dancing bear in a tutu.
For more emerging tech topics, subscribe to our blog and receive monthly newsletters.
We’re hiring! Learn more about what it’s like working for ADP here and our current openings.
Tech & Innovation Blog
How to Determine if Returning to a Company is the Right Choice?
Voice of Our People, Career Advice, Career Insights
“To me, ADP is a tech-first company where innovations are always welcomed and are prioritized first.”
To Boomerang or not to Boomerang: How to Determine if Returning to a Company is the Right Choice?
David C.
According to a recent article, The Rise Of Boomerang Employees During 2022, published by Forbes, experts noticed a rising number of boomerang workers—meaning people who left their jobs and are returning to the same company.
We recently met David C., Senior Director of Application Development, at our tech New Hire training and discovered his boomerang story and learned more about his career journey. With more than 20 years of experience in a wide range of technologies, including DevOps Solutions, Datacenter Architecture, Product Architecture, Storage Architecture, Cloud Architecture, virtualization technologies, Active/Active, and Standard Disaster Recovery Solutions, David shares key elements to consider before returning to a company.
Coming to ADP
David’s ADP career began in 2000 when he worked as a consultant in product engineering, installing web-based applications into the hosting center. He had different roles throughout his career and landed in Development, leading MyADP/Mobile DevOps teams.
“I went from analyzing products for installing, building, and testing Disaster Recovery Sites to working for client support, infrastructure, deployment delivery, automating process, and moving to AWS,” David said. “It’s always fulfilling to grow with different teams at ADP!”
His team worked to support production clients and development groups for deployments, delivery, performance, and monitoring, where they tracked the daily health of all environments residing in the hosting centers.
Migrating all our data center from Roseland to Bridgewater in 2002 was a memorable milestone in his career. “I was so proud to receive the President’s Award for growing our data centers to support our products,” David said.
Over the next few years, he worked with more teams and helped launch the MyADP product. David was extremely honored and proud to be nominated for ADP President’s Club hosted in Spain, where they celebrated Sales and IT’s achievement in 2014.
David and his wife in Spain
Taking a Turn
David’s career journey took a turn in 2019 when he left ADP to work in DevOps for a bank, supporting more than 150,000 users. The new environment was a growth experience for him.
“I’ve learned about supporting structure, especially crisis management and reliability-related topics in the banking industry,” David said.
A significant difference he noticed between working for a bank and ADP was our environment and emphasis on tech. “I value our focus on tech. To me, ADP is a tech-first company where innovations are always welcomed and are prioritized first,” David said.
It was difficult for him to leave ADP after 19 years, and he’s so glad to be back. “I came back after two years at the bank. The leadership teams at ADP always make me feel included. Friendships and the culture were the biggest reasons I decided to come back,” David said. “The bonds you build at work are irreplaceable.”
David and His Family
Boomerang Self-Assessment Questions
We were curious about David’s decision-making process before he returned and asked him to share some insights.
He gave us these five questions to ask before returning to a previous employer:
1) Why did you leave the company?
2) Has the direction of the company changed since you left?
3) Were you concerned about the company’s previous direction? What were the concerns?
4) What role are you taking when you return? Are you moving to a position you previously couldn’t?
5) Do you see yourself growing in the new position? Does the path lead you to the future you envision?
You might be interested in exploring other good reasons for returning to your former employer. Recommended reading: What to Do When You’re Returning to a Company You Used to Work For by Harvard Business Review.
Returning to ADP
David took a big step by returning, and he’s happy to grow his career within DevOps as they build the infrastructure for automation. When we asked for details on why he returned, he shared with us how amazing it was to see the teams expanding in a great direction. During his two years away, the team continued building a solid support system for clients. Every day was a learning experience through virtual, in-person networking and mentorship.
“As an associate, I enjoy working at an organization where they value each employee, providing guidance and support programs,” David said. “I was especially grateful for ADP’s support in my education. I worked full-time while taking classes online and graduated with an Associate Degree in Business Administration.” The balance between family, work, and personal growth is the foundation for David’s passion as a Senior Director of Application Development at ADP.
Welcome back, David!
Interested in a career in Application Development? Let’s work together!
Learn more about working at ADP here and our current openings.
Tech & Innovation Blog
Is Data Science the Right Career for You?
Voice of Our People, Career Advice, Career Insights
Data Science is perfect for you if you enjoy storytelling and solving complex problems with data.
Is Data Science the Right Career for You?
Mark P.
By Mark P., Lead Data Scientist, Product Development DataCloud
As a Data Scientist at ADP, I use workforce data to tell stories, using curiosity to analyze and display the data. In this blog, I’ll share my observations of experiences and trends in the growing field of data science.
According to the U.S. Bureau of Labor Statistics, data science will continue to grow, and the number of jobs is estimated to increase by 28% through 2026. In other words, data scientists are in demand, and our role will continue to impact many industries.
What comes to mind when you hear “data science”? Numbers and graphs? Machine learning and big data?
Let’s dive into a quick definition.
What is Data Science?
My perspective on data science was shaped years ago. People started referring to themselves as data scientists and posting jobs for “data scientists” around the same time that machine learning with big data was spreading to industries and companies beyond tech.
I view data science as the methodical analysis of an extensive dataset to understand a subject of interest. Machine learning is a powerful means of such analysis, but not the only one. I focus on a different area, writing query code and dynamic calculations to produce interactive visualizations. To me, the significance of big data is more of a spectrum than a boundary. Science is a systematic study for understanding, and we can understand things with smaller amounts of data too. But big data like ADP has made the insights and applications deeper and more reliable.
Pragmatically speaking, data science can be whatever an employer considers it and communicates through the specific skills they seek. No definition of data science can replace an employer’s expectations, the candidate’s expression of their experience, and conversations about career fit and advancement. With evolving technologies and models, there are a growing number of opportunities in this career. As a Data Scientist at ADP, it is certainly rewarding to have occupational, organizational, and demographic facts on over 30 million US workers to explore – anonymized of course!
Mark and his niece
Top Trends in Data Science
Currently, two of the most visible trends in data science are cloud-based development and the advanced application of natural language processing (NLP).
Cloud-based platforms and services such as Amazon Web Services and Databricks make it easier to source data, develop analyses and models, collaborate with colleagues, and deploy products. We work closely with these partners and have often spurred innovation in their products as we expand our capabilities.
NLP has many current and potential applications in human capital management, including client support, occupation and skill classification, job posting development, and candidate recruitment. Since jobs are diverse, overlapping, and constantly evolving, building and maintaining comprehensive, systematic knowledge can be challenging. NLP can make our solutions more scalable and data-driven than classifications created by human experts alone.
Day in the Life as a Data Scientist
My research on restaurant employment and wages during the COVID-19 pandemic represents many common day-to-day components of data science work. While it is well-known restaurants were one of the most heavily impacted industries, ADP data shows some cities fared better than others. You can see this in the 18-month employment trends for 3 of the largest 50 US metros.
Visualizations like these are the tip of the iceberg: the most visible part of the work requires much more underneath. In addition to conceiving and developing metrics, models, and graphics to create knowledge, data scientists need to find good data sources and write code to retrieve and process their information. They need to understand the limitations of their sources – things like sample bias, predictive labels, outright errors – and communicate and correct them.
Restaurant employment change, monthly since Jan 2020
And data scientists need to query people as well as data! For example, interviewing local restaurant association executives for their expert perspectives and calling US Bureau of Labor Statistics economists to discuss statistical methods.
How can I gain experience in Data Science?
If you are interested in data science, you can find a ton of resources, including boot camps, online courses, Medium articles, and YouTube videos. If you look up #datascience on TikTok, it has 89 million views! Of course, classes are a great way to acquire vital education, but they can be a significant investment in time and money. You may wish to test your interest with a project that involves either a question you’d like to answer or a problem you’d like to solve. You’ll gain not only motivation but also a proof point to share with potential employers.
As an example, when 2020 presidential candidate Andrew Yang proposed a universal basic income, I was curious to know who might benefit from $1k a month and how to quantify the benefits objectively. I searched for household spending data, turned up relevant data and code from the Bureau of Labor Statistics, and then used free versions of SAS and Tableau to create a public dashboard to answer that question.
Data Science Team at ADP
I’d advise anyone interested in data science to follow their curiosity and search the web for public data and free tools. You’ll face technical challenges along the way, but sites like W3 Schools and Stack Overflow can help you tackle them as they arise. Of course, many people prefer the structure of classes to an open-ended, “many-options-no-right-answer” type of project. The former is fine – but if you can take the leap and try the latter, you’ll gain a good experience of what real-world work is often like!
Final Thoughts
Data Science is a great option if you can:
- Think creatively and enjoy solving complex problems with data
- Problem-solve in a team environment
- Communicate effectively in programming languages
Three self-examination questions for Data Scientists interested in ADP:
- Does working with one of the most comprehensive employment data sets excite you?
- Are you inspired by transforming the understanding of and opportunities for millions of workers?
- Are you a technologist who continually breaks down challenges, champions creative approaches, and collaborates routinely with a diverse team of professionals?
Interested in a career in Data Science? Let’s work together!
Learn more about working at ADP here and our current openings.
Tech & Innovation Blog
Remote Work Era: Three Challenges to Overcome
Diversity, Equity, and Inclusion
Time to grab on to the perfect opportunity to learn organizational skills, independence, and self-motivation!
Remote Work Era: Three Challenges to Overcome
By Amy H. Chiu, Tech Brand Content Developer
In May 2022, Airbnb’s career page received 800,000 visits since its remote work announcement. What’s the hype? When people say, ‘I work remotely,’ do you think of working from home in pajamas and not worrying about being stuck in traffic?
Remote working is more than that.
As we embrace hybrid and remote workspace, there are more conversations you and your team will be having, including challenges and solutions. As a full-time remote associate who works from a different time zone, I’ve learned methods to stay connected with my team.
My friends in tech often ask me what it’s like working remotely because some of them are considering switching their workstyle. My short answer is remote working is not for everyone.
The story began when I started working remotely as a freelancer a few years ago. Without going to the office, I engaged and experimented with various strategies to complete projects with accuracy and efficiency.
Challenge One – Communication
Are you afraid of missing the hallway conversation that could potentially build trust and work relationships among the team? As an extrovert, my solution is to speak up and share my updates during virtual happy hours and video calls. For example, I challenge myself to say more than “how are you” and answer more than “I’m good.” Having a real, human-to-human conversation during virtual happy hour has taught me to be more empathetic and understanding. I’d check in with my coworker from the other side of the country who caught the flu and adjust the calendar priorities accordingly.
I imagine reaching out can be a challenge for those more reserved in a new environment when they first start in a full-time remote position. This is when turning on video cameras can be helpful during online meetings. We recognize facial expressions during conversations that help us understand the tone of voice without saying too much, and smiling is always a plus!
Challenge Two – Time Management
Another challenge comes in time management, which is especially important for those who work with teams from different time zones. I recommend productivity and time tracking tools such as Toggl and DeskTime that allow you to log the time you spend on each project. The key is to build a schedule for yourself and stick to it. It’s easier to have a routine despite having scheduled meetings on the day or not.
Knowing when to start and pause working is the key for ambitious individuals. Since there’s no hard stop or visually seeing your coworkers packing up to leave at five in the afternoon, give yourself the reminder and permission to finish tasks during your working hours.
Challenge Three – Work Motivation
For those who enjoy the office atmosphere, I recommend joining coworking spaces such as WeWork and Galvanize. You could find a variety of office layouts and meeting spaces, using them to focus on your business. The community can also be an excellent opportunity to network and increase motivation at work.
I work from home and dedicate a space for work only. Having the habit motivates me and sets me in business mode every morning. According to a Social Psychological and Personality Science paper, the researchers asked subjects to change into formal and casual clothing before cognitive tests. They found wearing formal business clothing increases abstract thinking. On the days when I need an extra energy boost, I put on business clothing, even off-camera. The formal attire makes me focus better, and I tend to complete my tasks faster with accuracy.
Welcome to Remote Work
Remote working requires self-discipline, communication skills, and an open mind to collaborate. There will be challenges working with time zones and across teams when you are not sitting across from your coworker in the same office. However, the rewarding feeling of accomplishing projects remotely with the team makes the experience valuable. Please grab on to the perfect opportunity to learn organizational skills, independence, and self-motivation!
We are hiring!
Learn more about what it’s like working for ADP here and our current remote openings.
Tech & Innovation Blog
APIs vs. Web Service: What’s the Difference?
Learning Curve, Innovation, Application Development
Key takeaway: All web services are APIs, but all APIs are not web services.
APIs vs. Web Service: What’s the Difference?
We live in a digital age where almost everything is done through an API or Web Service. Have you ever wondered about the differences? Why should you care? This blog breaks down the differences between APIs and Web Services and explains why you might need one or the other for your business.
Definitions
Application Programming Interface (API):
APIs are a set of routines, data structures, and protocols that support building applications. You can find them in libraries or operating system services such as those offered by the language in your projects.
Web Service
Web Services are a way to provide machine-to-machine communication over the internet. W3C defines them as software systems designed for interoperability and connectivity among devices, people, or organizations across networks.
APIs vs. Web Services
Key takeaway: All web services are APIs, but all APIs are not web services.
Style of Communication
- APIs: takes in any style of communication
- Web Services: supports styles such as Simple Object Access Protocol (SOAP), Universal Description Discovery and Integration (UDDI), and Web Services Description Language (WSDL)
Operation
- APIs: Don’t need a network
- Web Services: Need a network for its operation
Web Services 101: Three Things You Need to Know
1) Web Services can be developed by one company, used by another, and hosted by a third company.
2) Developers can write Web Services in various languages and still have them communicate with one another by exchanging data using web services.
3) Web means HTTP protocol, and Service refers to request/response. Web Services are not tied to any operating system or programming language.
APIs 101: Three Things You Need to Know
1) APIs and industry standards make communication easier between different programs. They don’t indicate or restrict how you use the data. What you do with the information is in your control.
2) APIs allow you to get data between two systems in real-time. This means that you don’t have to wait for the data from one system to be copied over to the other system. You can start using the data as soon as they are entered into the first system, saving time for your team.
3) An API defines how data is stored and transmitted between systems. An API also means the operations required to process the data.
With industry-standard APIs in place, it’s now easier for one organization to say, “we support HR-Open version x,” and other organizations will know precisely what that means by learning the industry-standard API definitions and documentation when it comes to data representations and operations.
HR Open Standards Consortium (Leslie on the right)
Future Integrations: How Can You Help?
ADP works with two industry standards at ADP: HR Open Standard and LIMRA. We spoke to Leslie E., Senior Director of Application Development, and she shared with us her take on integrations for our Human Capital Management (HCM) products.
Q: What’s the difference between using HR Open standard and LIMRA?
Leslie: ADP participates in two industry standards to understand the future of application development. If you are looking for help with your HR integration from a full hire to retirement, then HR Open is a great option. If you are more interested in voluntary benefits, LIMRA would be your perfect choice.
Q: What’s the future of using API standards? 
Leslie: Using API standards is critical in moving forward. Our job is to make sure that we’re doubling down on investing our time to make these standards usable. A great best practice is to work with partners on terminology and sample data, then go through the translation step.
Q: What’s the future in application development?
Leslie: Moving forward, I’d like to see us all use integration and standards instead of building custom layouts. But it’s only possible when we work together to design, enhance, and maintain standards, ensuring they are meaningful and effective in application integrations.
As our world becomes increasingly more complex, the need for APIs will continue to grow. They will allow businesses to quickly and easily bring together various applications to share data while hiding the details of how those systems work. The industry standards set by API providers help ensure that both sides of the integration use the same structure or schema, making it easy to repeat the implementation with other partners.
Q: Why should we care about industry standards?
Leslie: Efficient communication comes from using industry standards. Industry standards allow us to define a system record, translating our languages and partners’ languages into one common language. In the end, we provide a better experience for our clients, improving accuracy and reducing errors. It’s a win-win!
Q: What’s one piece of advice for developers interested in using APIs?
Leslie: When sharing information, remind your teams to be highly content-conscious when transmitting and securing the data sets. We have a detailed security review checklist for our partners here at ADP. Make sure everything you are doing in data transmittal follows strict security guidelines!
Final Thoughts
Developers continue to find ways of combining the two services to build more fantastic applications. The web APIs vs. service debate is not one with a clear-cut answer, but the benefits for both sides are adding more possibilities to application development.
Do you prefer using one over the other? Both APIs and Web Services serve as essential cores in the field and are especially useful in different projects. Remember, while APIs can be one or offline, Web Services require a network. The overlapping idea is that all web services are APIs, but not all APIs are web services.
Interested in a career in Application Development?
Learn more about what it’s like working for ADP here and our current openings.
Tech & Innovation Blog
We are Proud to Design and Create a Workplace for Everyone
Diversity, Equity, and Inclusion
ADP will continue to strive to be the best place to work, creating a workplace for diverse talents.
We are Proud to Design and Create a Workplace for Everyone
At ADP, we’re constantly working to provide the best possible experience for our clients and associates. We’re proud to announce that we’ve been recognized with various awards! Whether providing outstanding service or creating a great place to work, we always strive to be the best.
iWIN – Business Resource Group
Women Impact Tech 100
When it comes to gender equity in the technology industry, ADP is leading by example. Our technologists are dedicated to developing inclusive products and services, providing a path forward for all our teams.
Women Impact Tech, an organization focused on improving opportunities for women in STEM, has named ADP one of the top 100 Women Impact Tech companies. The recognition criteria measure employee feedback on workplace culture for women, benefits, diversity, equity, and inclusion efforts.
We are excited to see that our work is reshaping the tech space.
“These top 100 companies are doing the right things that make a difference in women’s ability to have meaningful careers, offering a culture for women to thrive,” said Paula Ratliff, the President of Women Impact Tech.
The good news doesn’t end here! We have also earned recognition from Top 50 Employer by Woman Engineering Magazine, Top 50 Best Workplaces for Women in India, and the AnitaB.org 2021 Top Large Company for Women Technologists for the second consecutive year.
“As a leader, I want to create an environment of empowerment with a diversity of thought and perspectives,” said Laurie Liszewski, VP of Product Development at ADP.
Opportunities across ADP include participation in our Women’s Leadership Development Program, Grace Hopper Celebration with AnitaB.org, and our Business Resource Groups such as iWIN (International Women’s Inclusion Network).
“There’s a lot here to be excited about. We’re all working together, and we’re going to be stronger in the long run,” said Amber Abreu, Senior Manager of User Experience (UX) research at ADP.
We can’t wait to see what’s next!
Next Big Things in Tech
ADP DataCloud has been named on Fast Company’s first-ever list of the Next Big Things in Tech list, honoring the technology breakthroughs that promise to shape the future. We have earned this recognition for our powerful people analytics solution, ADP DataCloud, which leverages our vast workforce data to address the most significant challenges businesses face today, including employee retention, pay equity, diversity, equity, and inclusion shift economic policy. Read the press release here.
In addition to this award, ADP DataCloud has also earned a Stratus Award, the Top HR Product of the Year, and the Data Analytics Innovation of the Year.
We are proud of the product enhancements our teams developed:
- The new Diversity, Equity, and Inclusion (DEI) Dashboard allow companies to see the makeup of their workforce and address underrepresentation.
- Organizational Benchmarks taps ADP’s workforce data to help companies decide how best to deploy workers.
- When paired with ADP DataCloud’s Pay Equity Storyboard, clients can generate a personalized planner and budget to help them close gaps and measure maturity against peers.
This award further validates our clients and prospects of what’s to come and why they need us. Congratulations to everyone who has been a part of the development!
ADP 2022 Built In Best Places to Work
We are the proudest of our valuable people and the culture here. Built In, a top industry source for tech candidates to research and review companies, has named ADP with seven awards, including 2022 Best Places to Work in LA and New York City, Best Large Companies to Work & Best Benefits in both cities.
“Now more than ever, we’re proud to offer an engaging workplace with a dynamic culture that empowers our associates to foster innovation and develop innovative ideas with limitless possibilities,” said Aaron S., Senior Vice President of Product Development at ADP. “We are thrilled to be recognized in New York City and will continue our relentless focus on growing our technology from the energy of our associates.”
“Our highly engaged associates know we’re committed to providing each person with opportunities to use their diverse expertise to develop great products and technology that help deliver amazing client experiences,” said Leonard K., Senior Vice President of Product Development. “Built In LA’s recognition is an honor and a direct reflection of the innovation and dedication of our associates.
Built In’s Best Places to Work program rates companies based on their compensation, benefits, and culture. This year’s list highlights those employers who have created a culture that supports employees in-office and virtually that is diverse, equitable, and inclusive.
Great Place to Work®
Great Place to Work® (GPTW), a global authority on workplace culture, named ADP Brazil Labs and ADP India one of the best companies to work for 2021. GPTW has a mission to build a better world by helping organizations become a great place to work for all.
Here are the award nominations.
ADP India
ADP India
- India’s Best Workplaces for Women 2021
- India’s Best Workplaces™ in IT & IT-BPM 2021
- India’s Best Companies to Work For 2021
- Commitment to Being a Great Place to Work
ADP Brazil Labs
ADP Brazil Labs
- One of the Best Companies in the Rio Grande do Sul.
- Women Impact Tech 2022 Honoree
The awards recognize ADP India and ADP Brazil Labs not only for their talented associates but also for an environment of technological culture and innovation applied in the workspace.
Our clients, associates, and tech recruiting teams remain focused on cultivating valuable relationships in the challenging times of pandemics. We will continue to strive to be the best place to work, creating a workplace for diverse talents.
Thank you, and Congratulations to all our associates who make ADP one of the best places to work!
Interested in a tech career at ADP?
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