We get to know our homes and their quirks—the radiator that pings and hisses as it overheats a room to tropical levels, the hallway floor that creaks like a haunted house, the shower that takes seemingly forever to warm up.

This relationship is intimate and emotional, and at times our homes seem almost alive.

“Buildings have long mimicked living organisms–plumbing circulates through the walls, wires innervate every room, and concrete and beams provide skeletal support, but until recently, buildings lacked the most critical body part: a brain,” said Stephan Biller, Vice President of Watson Internet of Things (IoT) at IBM.

When buildings have a “brain,” or become smart, they can serve our needs in new and unprecedented ways.

One example is Huf Haus, the German pre-fabricated home manufacturer. They have created the world’s first house that learns from its residents.

Called “Outlook,” the smart home gets to know people through their interactions, which are collected through a network of sensors and analyzed by IBM’s Watson IoT platform. Huf Haus also uses watsonx Assistant to ensure the home and its occupants can interact naturally.

“Artificial intelligence and IoT technology provide a tremendous amount of insights to improve the lives inside of buildings,” said Srijnan Sanyal, Leader, Global Watson IoT Industry Lab. “This includes personalization, energy management, digital assistants, security, and more.”

Through voice commands, facial recognition* and understanding behavioral patterns, Huf Haus learns how to make its residents as safe and comfortable as possible and adapt to changing living or working situations.

Huf Haus will remember lighting and temperature preferences in the morning and how a resident likes the drapes open if it’s a sunny day. It will have their coffee ready and the news on—and even can recommend what to wear depending on the weather.

Forgetful residents? Huf Haus can remind them of a doctor’s appointment that day and suggest the best route to the appointment, based on traffic patterns and events. If a friend visits, the home will identify them via facial recognition* and unlock the door. It can sense if it’s noisy outside and close the windows.

UF HAUS and IBM present HUF HAUS with Watson

This ultimate personalization even extends beyond the home, said Sanyal.

“If you are watching a Netflix show on your smartphone when traveling in an Uber, the show will continue to play on your TV when you get home,” said Sanyal. “And the digital assistant in your car will know to guide you to your doctor’s appointment, but will call into a work meeting on the way.”

All about that data

Today’s smart buildings collect massive amounts of data. And by 2022, 500 smart devices will be present in a typical family home—adding even more data.

This level of personalization in smart homes is made possible by integrating and converting data across devices into insights that help us better understand customers.

But personalization is just one prime example of how data can change our lives.

“By aggregating the data of millions of homes, we can learn how to better protect the privacy and ensure the security of homeowners,” said Sanyal. “Energy and utilities companies could better manage their gas, water, and electricity distribution to homes, neighborhoods, and cities.”

AI could also be infused into hospitality applications, say to serve as a smart assistant for hotels. It could have a future in retail, banking, and just about any industry, as it could learn a specific industry’s lingo.

For manufacturing, automotive, and electronics companies, this gold mine of data helps them to create new services and products for their customers.

“Automotive companies are collecting enormous amounts of data and can use that to offer new services in a non-intrusive way, like traffic information, restaurant or grocery store recommendations, or even better insurance,” said Sanyal.

Companies can go beyond individual sales transactions to build a lifelong relationship. One McKinsey analysis across 30 industries showed that average earnings-before-interest-and-taxes margin for aftermarket services was 25 percent, compared to 10 percent for new equipment.

Office buildings can also be made smarter, benefiting not just building management but also the office residents.

KONE, a global leader in the elevator and escalator industry, is already analyzing vast amounts of data from sensors embedded in elevators to identify and predict maintenance issues.

KONE’s products and services blend cutting-edge technology with an understanding of people’s needs to improve people flow in homes, offices, neighborhoods, and cities. In both residential and office buildings, different stakeholder groups—developers, facility managers, building residents—are taken into account, as each have unique challenges and needs.

As with Huf Haus, the goal for every industry is to open up new possibilities for helping people, their customers.

“All this data provides new revenue streams and value for industrial companies,” said Sanyal. “In the future, it will open up even more powerful opportunities for changing and integrating society and our world.”

How can IoT data improve products?

Was this article helpful?
YesNo

More from Artificial intelligence

Top 6 innovations from the IBM – AWS GenAI Hackathon

5 min read - Generative AI innovations can transform industries. Eight client teams collaborated with IBM® and AWS this spring to develop generative AI prototypes to address real-world business challenges in the public sector, financial services, energy, healthcare and other industries. Over the course of several weeks, cross-functional teams comprising client teams, IBM and AWS representatives worked to design, develop and iterate on prototypes that push the boundaries of what's possible with generative AI. IBM used design thinking and user-centric approach to guide the…

IDC 2024 SaaS CSAT Award for Financial Governance, Risk and Compliance presented to IBM, September 2024

2 min read - IBM's prowess in the Financial Governance, Risk and Compliance (GRC) sector has been recognized by IDC, a leading global market intelligence firm. In its 2024 SaaS Path Survey, IBM emerged as a standout performer, securing the highest customer satisfaction scores in the Financial GRC application market. The survey, which collected ratings from approximately 2,900 organizations worldwide, asked customers to rate their vendor on over 30 different customer satisfaction metrics. IBM's high customer satisfaction scores, compared to the overall average in…

IBM experts break down LLM benchmarks and best practices

3 min read - On September 5, AI writing startup HyperWrite’s Reflection 70B, touted by CEO Matt Shumer as “the world’s top open-source model,” set the tech world abuzz. In his announcement on X, Shumer said it could hold its own against top closed-source models, adding that it “beats GPT-4o on every benchmark tested” and “clobbers Llama 3.1 405B. It’s not even close.” These were big claims—and the LLM community immediately got to work independently verifying them. Drama ensued in real-time online as third-party…

IBM Newsletters

Get our newsletters and topic updates that deliver the latest thought leadership and insights on emerging trends.
Subscribe now More newsletters