7 Key Predictions for the Future Of Voice Assistants and AI

When voice emerged in 2011 with Siri, no one could have predicted how it would drive tech innovation. Now, more than a decade later, it’s estimated that 35% of Americans over the age of 12 own at least one smart speaker (i.e., Google Home, Amazon Echo) and mobile users are three times more likely to […]

ML & AI Mobile Apps: How to Integrate the Tech

Advancements in Machine Learning (ML) and Artificial Intelligence (AI) are transforming mobile app development. ML/AI mobile apps now have the power to understand speech, discern images, interpret gestures, and more. But more than that, they allow users to connect with the world around them in new and exciting ways. And users have embraced the new […]

Why You Should Add Voice Search to Your App

Did you know that voice search accounts for 50% of all online searches, and 30% of searches without a screen? The use of voice search is so common that it’s becoming second nature to many, especially since it has been integrated into devices they use every day. Now, the ability to search the internet has […]

Rethinking Mobility: Twenty Perspectives on Mobile Transformation in 2020

  Business leaders are always thinking about the future, but their planning timeframes sometimes don’t commit to immediate, incremental change. Many leaders favor taking a “wait and see” approach to implement mobile technologies, but consistent, small actions create momentum so that it’s possible to confront future disruptions on the organization’s terms.    The following blog […]

How Voice Technology is Disrupting the Retail, Financial, Healthcare and Travel Industries

  Voice technology in mobile app development is gaining mainstream acceptance. Artificial intelligence (AI) is becoming more efficient in identifying user intent, and heavy-hitters like Amazon, Google and Apple are fueling the voice search trend with their branded hardware. With the progression of AI, innovative decision makers are beginning to explore new opportunities to leverage […]

How to Develop a Google Assistant App: Handling User Input

  User input is crucial in creating an interactive conversation between the user and Dialogflow. It allows programs to generate custom responses for the users, and execute specialized actions for them. Previously, in our first blog, we touched on the idea of Entities; also known as slot-filling variables. In this tutorial, we will learn how to […]

How To Develop A Google Assistant App: Getting Started With Dialogflow

  Dialogflow provides a new and innovative way for users to interact with mobile apps by integrating voice-based conversational interfaces powered by AI.   The conversational platform allows developers to connect with users via the Google Assistant, Amazon Alexa, and other platforms. For the purpose of this post, we will be focusing on using Dialogflow […]

How Is Amazon Alexa Fueling The Next Generation Of Mobile Apps?

  The 2018 Consumer Electronics Show proved that voice isn’t going anywhere soon, in fact, it’s prominent in almost every industry. From automotive to healthcare, there has been significant growth in digital assistants. What’s possible now with voice is just the beginning of what will come in the following years and it shows great potential […]

7 Mobile App Development Trends That Will Get Bigger In 2018

  On Christmas Day alone, consumers spent $196 million on apps, in-app purchases, and subscriptions in both the App Store and Google Play according to Sensor Tower. There was a significant increase of 12.3% over last year’s spending of approximately $174 million.   This shows that there has been continuous growth in the mobile app […]

3 Reasons Why Enterprises Hesitate to Adopt AI in Mobile Apps

  The growing gap between artificial intelligence (AI) investment and adoption is a prominent topic for debate. Although there is evidence showing AI technology promises to benefit efficiency, productivity, automation, personalization, among other primary business concerns, there is still widespread confusion slowing down the application of data-driven business models.   Despite massive investments being poured […]