72% of global companies believe using AI will make work flow faster. As an ever evolving discipline, AI allows businesses to rapidly iterate workflows. Iteration on this scale helps reap savings in operational costs, labor, and time. In turn, this translates into a cascading array of benefits that vault your company far ahead of the competition. However, deciding the correct strategy of algorithms, skill sets, and tech stacks can be challenging. This is where our team can step in to give your brand an edge.
Machine learning (ML) is a subset of artificial intelligence that enables systems to learn and iterate without being explicitly programmed. This takes place with the help of algorithms, historical data, observations, graphs, and patterns. The primary objective of machine learning is to allow computers and systems to learn autonomously without human interference.
Deep learning is an ML technique that employs algorithms similarly to how neurons work in human brains. These algorithms are known as artificial neural networks, and they consistently analyze data within given logical structures to draw insightful conclusions that benefit businesses. With time, these networks become deeper by accumulating information layers, improving performance.
Bot development is defined as a set of processes and activities that are carried out to design, deploy, and implement artificial intelligence into computer programs. Once done, these programs can mimic human conversations and respond to predetermined written prompts. These programs are known as bots and are widespread across websites for easy consumer interactions.
Conversation is the next wave of relationships businesses will build with their users. If the conversations are crafted to delight your users and help them meet their goals, this creates a virtuous cycle of engagement with your brand that creates irreplaceable value. From strategy to final production, our team of UX writers, designers, and engineers build best-in-class omni-channel experiences that help you scale such conversations.
Chances are we built your favorite apps.
Firefighters have one of the most stressful occupations in the world. In a bid to simplify their job, we helped Xerox build a powerful native iPad app that would handle the bulk of their daily inspections checklist and save them hundreds of man hours.
As the undisputed leader in everything retail, Walmart wanted to unveil its vision for the future of shopping. We helped them create a virtual shopping experience that put shoppers inside a working VR store, which Walmart showcased at SXSW 2017.
Denmark is one of the most expensive countries in the world to own a car. But Dribe used Flexdrive, a technology we helped develop, to let Danes drive more by subscribing to cars and revolutionizing car culture in the eco-friendly Scandinavian nation.
Creating genuine user engagement is not easy for a brand–even for an icon like Disney. So, we helped them build an iPhone and Apple Watch experience that brought their universe alive through trivia, stories, and quotes which users simply loved.
Going car shopping is tough; everything looks great at the dealer’s! To help customers out, Audi partnered with us to set up iPad displays that would let users experience virtual driving, tutorials, and even the feel of the Audi A8 in stunning 3D visuals.
Over 1.5 billion people trust AccuWeather’s forecasts. But, to keep employees and operations safe, their business users needed more custom tools. The product we built for them helped them increase profits and make their clients vastly more productive.
AI can be broadly divided into two categories that are based on capabilities and functionality. In terms of capabilities, AI is further divided into three types that include Artificial Narrow Intelligence (ANI), Artificial General Intelligence (AGI), and Artificial Superintelligence (ASI). Based on functionality, AI comprises Reactive Machines, Limited Memory, Theory of Mind, and Self-Aware.
Today, artificial intelligence is all around us, flourishing with breakthroughs in the technological world, and playing an active role in our lives. Some popular real-life examples of artificial intelligence include voice assistants like Siri, Alexa, and Google Assistant, self-driving cars, Google Search, social media monitoring and recommendations, maps and navigation, and manufacturing robots.
The artificial intelligence market is set to grow, and how! This reflects the increasing implementation of the technology across industries and its popularity as an emerging technology. The AI market was valued at US$ 87.04 billion in 2021 and it's expected to surpass US$ 1,597 billion by 2030 while growing at a CAGR of 38.1%.
Across our 12+ years of experience, we have worked with over 500 clients such as Walmart, Audi, Nike, Royal Caribbean, Union Bank, Anderson Columbia, National Geographic, and The Economist. At the same time, we have completed projects across 60+ industries including finance, construction, eCommerce, IT, healthcare, retail, sports, and automotive.
Our developers and engineers are known for their commitment to open lines of communication—something all our clients can attest to. We believe our team delivers its best work in a collaborative environment and ensure the dialogue around your project always brims with fresh ideas.