Posted by Iterate.ai in the Press
In the past couple of weeks, Iterate.ai has been referenced in multiple press articles ranging from prominent technology reports to direct interviews with our Chief Technology Officer (CTO) Brian Sathianathan. Below are concise summaries of the articles that have mentioned us.
Iterate.ai was on Intellyx’s spotlight in early March 2022, sharing our Signals and Interplay platforms to its readers. Intellyx accurately describes us as, “a low-code enterprise application builder with both external-facing and integrations and internal AI-driven digital work processes.” Also, ProgressiveGrocer’s recap article of the 2022 Food Marketing Conference, mentioned Iterate.ai and more specifically, quoted Brian as he was a keynote speaker for the Michigan-based conference. Brian was quoted twice in this article, explaining his prediction that “the digital-first economy will be half of the economy by 2023” and his assertion that “every one of your products could have ‘brains’ or memories.”
Similarly, Brian recently published two articles himself, asserting the necessity and importance of low code for enterprises’ futures. The first was a publication in the DevPro Journal about how low-code strategies are transforming manufacturing. In the article, Brian explains how low code development makes processes within the Industrial Internet of Things (IIoT), Artificial Intelligence (AI), and Machine Learning (ML) into “easy-to-assemble modules within drag-and-drop interfaces.” In other words, low code truly offers a more efficient, less expensive solution for manufacturers looking for better results. Importantly, Brian uses his expertise to offer practical “do’s and don’t’s” for manufacturing and IIoT application development. Notably, reminding development teams of the importance of an interconnected ecosystem, using low code to connect every piece of the project, and upskilling the current workforce.
Moreover, Brian also wrote for TechTarget’s ComputerWeekly where he tackles the misconceptions about low code head-on. Brian asserts that common fallacies against low code are outdated and are stunting the magnificent potential that low code has to offer. As Brian names, the key advantage of low code is connectivity. He continues with a call to action, “the reality is that today’s developers need to get faster.” Brian explains that enterprises are in tough competition with one another, constantly vying to deliver the best customer experience using advanced technologies, and that only using high code is inefficient, and not cost effective. Brian does offer some assurance to developers who may still feel unsure about using low code in their work, offering three points for consideration in order for developers to feel confident in choosing low code systems: specialization acceleration, production deduction, and how vigilance breeds resilience. He expresses that without low code, there are not enough developers out there to meet the current demand that enterprises are in need of. Similarly, Brian says that with the right modern low code strategy, developers will quickly be able to build production-ready applications. Lastly, Brian mentions that of course security is important to consider in any technological decision being made for an enterprise; he explains that developers need to look for low code systems that include a built-in security layer and sandboxing, for example. With all of these conditions being met, Brian reminds readers that low code is what will transform developers’ capabilities for the better.
Lastly, In an interview with Unite.ai, Brian was asked about his start with AI technologies, bias in AI development, companies who have used our Interplay platform, and the benefits of using low code for scaling AI technology. Brian took readers down memory lane, recapping his experiences with algorithm-driven learning in college, and experience building cryptography and other security technologies for Apple early in his career. Readers were also able to learn about the transformation of Iterate.ai, from its genesis as a specialized search engine for enterprises to find start-up partners in 2013, to becoming a successful multi-company organization in the present-day. Brian also provided two use cases that conveyed successful partnerships between our Interplay platform and two major companies, Ulta, and Jockey respectively.
Notably, Brian confronted bias in AI development head-on, explaining that “AI bias occurs when engineers let their own viewpoints and preconceptions shape their AI training data sets” and how this typically happens subconsciously- however harmful, nonetheless. Brian asserts that bias makes results from AI applications incorrect and useless. This comes as no surprise, being that at Iterate.ai, we value diversity and inclusion.
At the conclusion of the interview, just as he’s done on his own publications, Brian asserted why low code is important for scaling AI technology, explaining that crafting AI solutions is incredibly expensive and not practical based on our current workforce. Instead, low code can “produce and scale effective solutions.”
With increasing conversations about future technological advancements within AI, ML, and IoT, for example, and considerations for low code usage, Iterate.ai continues to be at the forefront of these discussions.