The presence of Gen AI in digital product engineering is gearing up. Its capacity to automate and enhance product development is revolutionizing the industry. The practical application of Gen AI in digital product engineering companies is growing exponentially, leading to faster and more successful development cycles that result in high-quality and more polished products.
Newer technologies in this spectrum are reshaping traditional IT operations and infrastructure, driving modernization. Gen AI has revolutionized business processes and organizations through the strategic integration of Large Language Models (LLMs), which have become central to this transformation. These models can understand and generate human-like text, go beyond mere language processing, and have unlocked new efficiencies, fundamentally changing how businesses operate and deliver value to customers. The rise of Gen AI has redefined customer experiences, creating opportunities for unprecedented innovation and growth in various sectors.
Gen AI is showing a promising impact in streamlining product engineering. Product engineers are deploying this technology to speed the development of prototypes, handle iterations, generate code, and a lot more. Continue reading our blog to explore the core of how Gen AI can foster the transformation of digital product engineering companies.
As a catalyst, Gen AI is revolutionizing digital transformation by automating routine tasks and optimizing business processes, freeing up human resources for strategic roles.
Did You Know?
According to McKinsey, using GEN AI in business strategically can automate up to 70% of tasks that take up your employees’ time. This can lead to a notable increase in productivity, with a yearly improvement rate of 3.3%.
Human resources in organizations cannot be discounted and are an essential component to work with in collaboration with the AI components for digital transformation to be impactful.
We have already seen in our previous blog posts the technical impact of how Gen AI’s toolbox, has changed the implementation of the Software Development Lifecycle (SDLC) and how it has Accelerated the Product Development cycle impacting multiple touchpoints in the digital product engineering cycle.
In short, the phases involved in product development integrating Gen AI tools and techniques are as follows
As the disruptor, Gen AI is disrupting and radicalizing the markets. As more data is being generated, the computing power, data storage, and processing capabilities are creating a competitive market of data lakes, data warehouses, cloud storage, cloud warehouses, data fabrics, etc., all of which are using powerful algorithms on structured and unstructured data, and impacting business value drivers, employees, and customer experiences.
GEN AI capabilities can transform digital product engineering companies bringing in innovative products and Customer Experiences (CX). To explore how Gen AI capabilities can be utilized in digital product engineering, we must touch upon the ecosystem in which such organizations thrive. We then need to understand the advantages and challenges present, and finally prepare the blueprint for architectural changes that have brought digital transformation in the product engineering companies.
For any product engineering company to thrive in today’s competitive digital engineering market, the essential ticker is the real-time intelligence built into all aspects of its internal operations to meet customer needs. How can an organization achieve this success?
Data is present in huge quantities and continuously being generated at an exponential rate. However, for any organization to move towards AI-driven automated decision-making, they need to ensure information quality. How?
Every organization should follow the above key steps to find meaningful insights from data, realizing AI-driven solutions for greater optimization.
However, there will always be advantages and challenges that influence the process of digital transformation in product engineering companies when integrating Gen AI tools and techniques.
The transformative impact of GEN AI -driven tools and techniques in product engineering companies can be judged by the advantages it brings:
No change is ever possible without challenges to overcome, and every organization should prepare to address the challenges.
Once the ecosystem has been fine-tuned to the business specifications based on the knowledge of what advantages and challenges an organization can face when integrating AI-related tools and techniques, the next step is overhauling the architectural blueprint for interoperability, flexibility, and scalability.
For better interoperability and improving scalability and sustainability product engineering companies will find it useful to re-schematize their software architectural blueprint and adopt the below architecture. Customization is the key. The one-fit for all may not always work.
As we come towards the end of the article, it would not be wrong to say that Gen AI is supercharging the traditional product development workflow. Right from the design to the final stages of the product development lifecycle, Gen AI holds the show, resulting in organizations focusing on more innovative and strategic tasks. As more and more companies are adopting and integrating Gen AI at the forefront of product development, they are easily able to tailor these products based on needs, customer demands, market trends, and more. Even after showing so much potential, there are several industries that have readily embraced this technological maestro and but for many, it’s still the beginning.
We at Calsoft are one of the early adopters of Gen AI and are leveraging its capabilities to drive innovation and excellence in our in-house product development activities. At the same time, our expertise lies in Gen AI, Analytics & ML, and Data focusing on enterprises and ISVs. To empower your digital product engineering services transformation by leveraging the goodness of this technology, explore our Gen AI offerings
