Our research, knowledge, thoughts, and recommendations about building and leading businesses on the Internet.
As 2017 comes to a close, we as a team are grateful to our relationships with our friends, family, team members at Anant, and our adopted team members at our clients and vendor teams. Anant wishes you the best in the New Year. As Arturs, aptly titled our end of year retreat deck “The Mountains we’ve Climbed,” I can with certainty say that it’s because of you: the relationships we’ve built and those we are getting to know.
In 2017, our team made tremendous progress with clients new and old, new partnerships, internal efficiency, and most importantly acquiring and retaining amazing talent.
With our partnerships, we were able to help a handful of companies who’ve made it to and remain on the Fortune 500, and this next year, we’ll be helping at least one Fortune 10 company if not more. Our work at this level is a validation that our approach works for teams inside larger companies as well as our smaller ones.
Our small to medium business and non-profit clients continued to prosper with our help. We took roles as their Virtual CIO as we provided Professional Services and Managed Digital Subscriptions & Solutions to help them build and maintain their business platforms.
As we turn to the next chapter at Anant, we’ve made some sacrifices throughout the year. Leveraging the shared knowledge of books and advice from our clients and vendors, we were able to cut off activities which weren’t returning the expected return on investment. By doing this, we achieved record level efficiency and growth in the main metric that matters most: how many clients and how much we’re helping our clients.
We decided to separate our product initiatives from our main service offerings. Our product developments still continue on as open-source initiatives (Appleseed Framework). We will focus our internal Research & Development to improve the Anant Business Platform which is helping us recruit our talent, learn about our current clients and source new ones, coordinate our team of teams to get the work done, and make intelligent decisions from data collected from our system of systems.
While soul searching, or really just thinking about what we have done well t
hroughout our history, one concept kept coming back to me. Throughout the last nearly 8 years, we’ve taken ownership of our client’s business platforms as their virtual CIOs even when they didn’t have one.
Our body of knowledge in the Modern Enterprise and our approach to Internet Architecture has now become a singular focus for us:
We want to teach you and your team how to build the next generation of your business.
Happy Holidays! We look forward to helping many of you and your teams achieve wild success next year.
This summer I was fortunate enough to be able to join Anant. Coming from primarily a research background, I had little experience of how companies run. This was a great experience for me in learning about the development cycle, how companies streamline workflow, and much, much more about day-to-day operations. And of course, meeting the team at Anant was incredible and I met some fantastic people who taught me a lot, from getting ready to go to college to general life advice.
While here, I specifically worked on the Mindy project. Mindy aims to aggregate different types of listings, such as jobs, skills, or companies, and categorize them to automatically generate connections. This summer, we focused on stage 1, which involves scraping job listings from as many sites as possible and then extracting information. This extracted information, such as social media tags and the type of the listing can be used for the pairing portion when combined with algorithms that do similar tasks for other types of data.
While I had done data science and machine learning before, I had never created a front-end display or a pipeline for the whole process like I had to do for Mindy. As a result, I got to explore some very cool technologies like elasticsearch and React to create a complete product. I also was able to go much more into depth in natural language processing, as I wrote about in a previous blog post.
At the end, I was able to help create a system that can automatically scrape information from multiple websites, process it, extract additional information from descriptions, and categorize it. This was all placed into a slick front-end, allowing for easy searching of jobs. And then came docker. Perhaps one of the more daunting and involved things I’ve done, learning to dockerize and deploy was quite a challenge. However, at the end, we were able to do it all successfully, giving easy pushing to servers and letting anyone, anywhere, use our platform in a handful of minutes.
Beyond Mindy, I learned a lot about how a business operates. Seeing how agile works, with sprints and trello integration, was a really new process to me and I was amazed at how effectively it was able to aid communication. It was also very interesting to work in a professional environment and the Anant weekly co-works were very cool.
This last summer was an experience I will never forget. From freezing with a broken AC to eating lunch by the canal to getting eaten alive from mosquitos, I wouldn’t miss a single moment of it. Anant taught me how to run a business, and how to run it well.
As a returning Summer Apprentice, I do not see my last two summers as two separate experiences. Instead, I see them as one journey, split into two parts – one of which could not be as valuable without the other. Last summer, I was introduced to the very foundations of a business to answer the basic questions “what is a company?” or “what makes a company successful?” From a learning standpoint, working at a startup was the best way to answer these questions. In a single meeting, I could have a sales / marketing employee sit next to me, a business analyst two chairs away, and the CEO right across my face. Learning the ins-and-outs of a company couldn’t have been more informative and effective than working side-by-side with such a variety of roles within the company.
This summer, I took what I learned about project management, business analysis, and the Agile framework and applied those areas of expertise to both internal and external projects at Anant. As Project Manager of Mindy, an internal machine learning-based project, I took on a role I had never experienced before. How did I start? Well, I went back to last summer and used my knowledge of communication and business tools to serve as an efficient and effective leader.
I started off my standardizing the way our team – a team of student apprentices just like me – would function. The Agile Framework served to be the best way to fulfill the needs of the Mindy project. It provided us a way to release small chunks of the project on a weekly basis while always having opportunities to learn from previous weeks.
However, being a project manager requires more than merely dictating a path for the team members to follow. I have to act on what I say. This is where the line between a “boss” and a “leader” is drawn. A boss orders. A leader acts on his/her orders with the team. For example, because Mindy is a data engineering process enhanced by machine learning, manual labor is required to “teach” the categorizing of data. The program must “learn” how to categorize the various jobs, but this requires hand annotations completed by a human. To learn more about how Mindy requires machine learning click here. In this situation, a boss would have ordered the team to annotate the data. Instead, I sat in front of the computer and went through all 273 data and labeled each one appropriately. After all, I was the most familiar with the category meanings. I knew that my manual labor would get the job done fast and effectively.
Another large portion of my summer at Anant was spent on an external client project with US Food Imports (USFI). My main job as the Internet Architecture Apprentice was to maximize the efficiency of the API Grabbers, which collects all data from a designated API. These scripts were written in NodeJS – a language I had never used before. Before the summer, I was well-versed in Java and Python. While the syntax of NodeJS was similar, its functionality was nothing like what I had dealt with before. Initially, I had to get used to the asynchronous nature of the language, which meant dealing with simultaneously running code within the same program. Working around callbacks and continuously reading / writing to files were my most significant challenges. However, I had always believed that once a programming language is learned, it isn’t too difficult to learn others. After all, the basic knowledge of variables, functions, and data storage stay fairly consistent across programming languages.
Nevertheless, even working with a brand new piece of technology for USFI compelled me to go back to my previous summer as a Business Operations Apprentice and utilize those skills once again. Throughout my experience working for USFI, I kept a customer focus – one of Anant’s core values – to ensure my work is benefitting the client. Whether it was finding the most effective Node modules or refactoring the code, every decision I made was for the benefit of the client so they were satisfied with the work I did.
The past two summers have been my most insightful and enriching experiences yet. Not only has it helped me to narrow down what I want to do later on in college and beyond, but it has taught me how to be a better worker. The three main lifelong lessons I have learned from my summer apprenticeships at Anant are interpersonal and communication skills, the power of google, and the importance of always prioritizing the customer.
Towards the end of April we hosted the DC Tech Enterprise Meetup where we had various people from the business world come and demo applications that they believe can be useful for the Modern Enterprise. We had presenters from Uniplus Consultants, DivvyCloud, and Anant showcasing a total of four different business applications.
Nagesh Kakarlamudi, Software Architect at Uniplus Consultants, Inc., presented a business application platform intended from small and medium size businesses. His software highlighted the importance of being able to get small but powerful applications up and running in a short-time span.
Jeremy Snyder, VP of Business Development at DivvyCloud, presented a large scale autonomous policy enforcement platform. This application is meant for organizations that are dealing with soaring infrastructure needs while at the same time having to ensure security policies are being met across all systems. His demo showcased the importance of keeping all instances of your virtualized infrastructure compliant with your enterprise policies.
Rahul Singh, CEO of Anant, presented Docker, a business application that has revolutionized the way many technology firms now deploy code. Docker is a tool that can be used to contain, store, and transport software applications. It helps programmers focus on programming by making environment setup and testing as easy as possible.
Arturs Oganesyan-Peel, Business Analyst at Anant, presented Metabase, an open-source business intelligence tool that supports multiple database types. Metabase is an intuitive analytics application that is very easy for the non-technical user to become familiar with while also having capabilities that a database expert could find useful. It’s ability to manipulate and display data in a variety of ways, as well as its integration / sharing functionalities make it useful for any enterprise that believes it’s ready to use data as a major driver of business decisions. See his slide below:
We’d like to thank all the presenters for participating and we are looking forward to our next Meetup!