Mobile Devices + AI are Redefining Connected Living
2023 was the year of AI, no question. We saw it everywhere, from the news to our social media feeds and on our mobile devices. And as all emerging technology does, it is starting to make its way into our homes.
If we think of how tech has already become integrated into our homes, we may think of video doorbells with connected apps, smart thermostats, or Amazon Alexa or Google Assistant making our grocery list. These types have technology have become more commonplace in the home in the few years that they have been available. With the latest release by Samsung, AI is now becoming more a part of our devices which is transforming how we react with our phones, create, connect and more.
As the lines have become blurred with personal and work use of devices, AI-powered technology (and what risks it imposes), delivered on a mobile device, just adds to the list of things to be aware of for enterprises. And with the explosive rise of AI, its already in our homes, in some ways you may not realize.
Household Tasks One way we see AI used in the homes is to increase convenience for us. For example, with the LG InstaView Fridge, it can suggest recipes based on the ingredients inside. There are also now smart ovens, like the June Oven, that can detect the type of food inside and adjust cooking time accordingly. These types of features reduce mental load on daily tasks and can help reduce overall stress.
The kitchen is predicted to be the primary place where we will see AI growth, according to Grand View Research’s Smart Home Automation Market Size, Share & Trends Analysis Report. It predicts that the kitchen will have the highest compound annual growth rate (CAGR) in the forecast period, due to the large amount of products coming out that use technology in the sector.
In 2022, the largest market revenue share category was home security. With the rise of Ring doorbells, Amazon Blink in-home cameras, and more accessible remotely on homeowners’ devices, the ease and comfort of home security was taken to a new level.
As smart home features continue to evolve, we are also likely to see more voice-activated assistants, like Alexa and Google Home. Voice-controlled AI assistants are already commonplace, and they will likely continue to integrate further with smart home systems in the future.
Entertainment Another category that we can look to for AI-powered improvements is entertainment. Streaming services like Netflix use AI to detect the shows and movies we like, and to deliver us more content that we may enjoy.
Ever wonder why you are drawn to certain movies? Could it be that the image represented for the movie relates specifically to you? Netflix has invested substantially in this area using machine learning to optimize their artwork and image personalization.
Energy Management With smart thermometers like Nest and Ecobee, user preferences and habits can be used to optimize efficiency and energy usage. These systems can also adjust temperature based on factors like external weather conditions and occupancy.
Nest has a few new AI enhancements including “Nest Aware” to provide scene recognition outside your property using cameras and facial recognition technology, is that a deer or a human wandering outside your house? Additionally with Next Cam IQ if Nest sees someone in your home it does not recognize, it can call the owner via the app on your phone. Pretty cool.
Health and Wellness The increased usage of wearable tech, such as Apple Watches and Oura rings, has allowed people to better track their sleep, heart rate, activity, and other health metrics. AI-driven apps can streamline this data and make health suggestions customized to each user, such as exercise suggestions, mental health support, or ways to manage stress levels. AI can also provide real-time health updates and potentially predict future health issues.
Smart Cities and Transportation AI algorithms will be able to optimize traffic flow, along with energy consumption and other public works data. This can assist with city planning and traffic light schedules, allowing for improved efficiency on the roads.
Along with optimizing traffic flow, the use of AI-powered and self-driving vehicles will impact our journey in the car. It is intended to improve safety and minimize human error, but we have yet to see the impact on a large enough scale to determine broader implications. In the near future, consider these autonomous cars more mainly for fleets and commercial vehicles versus for individuals.
AI Data Privacy and Ethical Questions While there are many upsides to the implementation of AI in our homes and in our lives in general, there are also some notable concerns. First and foremost is the issue of data privacy. While these devices are helping us, they are also collecting huge amounts of personal data. In order to maintain consumer trust, companies will have to prioritize privacy policies about data storage, usage, and access. Where is this data coming from? Where is this data stored? Who can access it? And under what circumstances? These are questions that traditional data protection laws are not equipped to answer.
Another challenge that comes with use of AI is ethical concerns. Finding the proper balance of efficiency, convenience, and privacy is a task that will require ongoing consideration. This balance may also require updated regulatory frameworks as future challenges arise in the ethical use of AI.
Impact on Managed Mobility Services One of the most significant impacts of AI on MMS will be the increased efficiency in device management. AI algorithms will enable MMS providers to detect, diagnose, and resolve device issues more quickly and accurately. Predictive analytics will identify potential problems before they occur, enabling proactive measures to be taken.
AI will also enhance the security features of MMS. AI algorithms can detect and prevent security breaches by analyzing user behavior and detecting anomalies. This will enable MMS providers to identify and respond to security threats quickly, reducing the risk of data breaches.
Finally, AI will help MMS providers to reduce costs by automating routine tasks and reducing the need for human intervention. For example, AI algorithms can automate device setup and configuration, reducing the need for manual labor.
What’s Next While AI must be used with caution and ethical considerations, it is poised to become a major part of American life both in the business world and personal realms. The improvements that are likely to come with AI will allow for greater freedom and efficiency in our connected living and overall lives.
Is your head spinning thinking about the rapid changes AI will bring to your enterprise’s Mobility Program? OVATION has been guiding enterprises since 2002 with leading edge thought leadership to implement and update mobile management practices. Our team is comprised on wireless experts together with our technology enabled managed services that can compliment your internal practices leaving you a mature well run mobility program. Contact us today to see how OVATION can help.