This AI-First Digital Engineering Company Is Transforming The Future Of Business
The proposition of AI in the business landscape has been an evolving discussion, one that is observing ubiquitous advancements with the entry of Generative AI. Gartner anticipates that by 2025, about 30% (zero as of today) of new drugs and materials will be discovered using Generative AI techniques. Given that this type of AI has been around for only a few years, the scale and speed of business impact are immense.
Generative AI is emerging as a pillar for executives looking to maximize their company’s agility and transform quickly. One such company that has been leveraging this technology is Quantify, an AI-first digital engineering firm that has proven its mettle by successfully executing complex AI and data projects. I caught up with Asif Hasan, co-founder of Quantiphi to take a closer look at how this business utilizes its unique AI-First digital engineering approach to modernize industry standards and expand capabilities with unparalleled speed.
Gary Drenik: Quantiphi is an AI-First Digital Engineering company. What is this new category “AI-First Digital Engineering”? Any interesting facts about the name?
Asif Hasan: If we look at the evolution of technology services over the last decades, you will see multiple stages of evolution starting from mainframe integration services to Y2K to client server-based enterprise applications to mobile and most recently cloud.
In 2012, something truly defining happened – AlexNet, a convolutional neural network (CNN) architecture was able to achieve high level precision in object detection through computer vision. This gave us the confidence that an entirely new breed of companies would be required to help businesses harness the power of AI and we started Quantiphi in early 2013. In 2017, with the introduction of self-attention-based transformer networks, it became increasingly obvious that machines will be able to decipher the world through sight, sound, language, and pattern recognition. This would enable businesses to reimagine their value chain with an AI-First approach where they would be able to solve the previously unsolvable problems.
AI-First digital Engineering is Quantiphi’s way of making AI Infrastructure, Software Engineering Services and Business Transformation expertise available in a single service provider. It enables enterprises to reimagine their value chain with an AI-first lens and realize transformational business opportunities through a mix of Applied AI, Cloud and Data solutions.
Drenik: That is interesting – any interesting facts about the name ‘Quantiphi’?
Hassan: We strive to combine the best of both worlds – the rigor of scientific methods with an eye for sustainability, balance, and harmony. That’s why you have two parts to the name,
- “Quanti” representing the use of scientific methods to solve problems.
- “-phi” representing the Golden ratio (used in art and design to achieve beauty, balance, and harmony)
Drenik: What differentiates Quantiphi from the big players like Accenture/Deloitte and from smaller players like startups?
Hassan: As an organization, we have achieved a corporate dynamism that sets us apart from the start-up companies while our ambitious appetite for risk and larger growth gradient differentiates us from the mature players.
To give you a glimpse into our growth mindset, our AI-first digital engineering solutions have delivered more than 2500 AI projects with over 450 global companies across multiple industries. We can understand the differentiation through these eight aspects.
Quantiphi is different from the larger players as we have a higher Solution Catalog Depth, high talent density and strong IP enablement. With a scale of nearly 4000 professionals and a track record of success over the past decade, we are different from other companies because we combine the agility and talent density of the startup with the scale of global service providers.
Drenik: Quantiphi works on bridging the gap between e-commerce and in-store shopping with a 360-degree view of the consumer journey. What do you see as the benefits of AI in this sector as consumer behavior becomes harder to predict?
Hassan: With consumer shopping preferences witnessing a shift towards online medium (which accelerated during the pandemic) has made it easier and more rewarding to predict consumer behavior. Of course, it comes as a no-brainer that marketing analytics plays a key role here which does all the heavy lifting on the data to provide readily actionable insights, thereby the business can focus purely on decision making. This knowledge lets businesses create frictionless customer experiences, personalize customer interactions and engagement through a data driven approach. Artificial intelligence/machine learning plays a massive role, behind-the-scenes in connecting the siloed customer behavior data across various touchpoints/data sources, to provide a singular view for each customer. Sometimes it’s straightforward but often it’s not.
Thanks to the recent developments in AI, businesses can get a better understanding of their customers and often even humanize their brands. Integrating AI-powered solutions is a surefire way to create a holistic view of customers across different touchpoints and know customers better than they do. AI techniques also help brands create more robust buyer personas, and segment customers based on real-time customer analytics to help anticipate customers’ needs and exceed their expectations. The sooner retailers integrate AI into their business, the quicker they can benefit from it.
Drenik: What area in consumer e-commerce do you see the most opportunity and potential?
Hassan: According to a recent Prosper Insights & Analytics survey, we see the most potential with Millennial consumers preferring AI Chat Programs compared to other generations which include – Gen-Z, Baby Boomers, and Gen-X. Where Millennials have an average of 31.9% preferring to communicate with an AI Chat Program with services such as banking/financial services, health care matters, online shopping/purchases, telecom & entertainment services, and travel services. Compared to Baby Boomers who have an average of 12.8% preference of communicating with an AI Chat Program with the same services.
Technology today, specifically the advancement in AI & ML has the potential to provide a seamless, personalized customer experience that will entice customers to return. Marketing automation and customer data platforms are two of our favorite technology solutions that Quantiphi has spent years building expertise in. These tools can assist your team in organizing their efforts by automating repetitive tasks such as lead nurturing or email campaigns. A CDP (Customer Data Platform) also offers unified cross-channel marketing capabilities, allowing you to tailor content to individual needs across all channels, including web, social media, mobile apps, and more! Another advantage of these solutions is the ability to serve ads based on an individual’s preferences rather than targeting them with general advertising messages that may not be relevant for them at this point in their journey.
Drenik: Thank you Asif Hasan for the insight on Quantiphi. The future of AI is continuing exponential growth especially in the consumer e-commerce space. I enjoyed learning more about your clientele and look forward to seeing Quantiphi excel in the AI business.
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