Harbor Research

09/04/2024

In the early 2000s, Marvin Minsky—a cognitive scientist and one of the fathers of artificial intelligence—liked to say that we can make a computer capable of beating the reigning genius of chess, but we can’t make a robot capable of walking across the street as well as any normal two-year-old child.

The real world is not a strictly regulated closed system like a chess game. Sensing moves on a virtual board and responding within agreed-upon rules is one thing. Sensing and physically responding in actual reality—where a huge number and type of unexpected events might occur—is quite another.

In fact, the entire AI industry has been through multiple attempts since the 1950s to grow into a mature market. Each of these efforts collapsed because the technology was unable to meet the unrealistic public and investor expectations generated by non-real-world computing triumphs like those of IBM’s Watson.

https://zurl.co/3kyb

03/04/2024

Software and digital technologies are displacing physical hardware and replacing labor-intensive services in nearly every market and application imaginable, and it shows no signs of slowing down.

The traditional differences between so-called high technology companies and the remaining product and service businesses that utilize the innovations that tech-focused developers provide are fading away.

In one form or another, every company is becoming a technology developer, which is forcing businesses to re-think how they approach growth.

https://zurl.co/Z5YS

Harbor Research provides insights and guidance on growth strategy and how to achieve value in the age of Smart Systems and the Internet of Things

23/02/2024

We're proud of the work we've done with for Smarter Homes & Buildings (ASHB) (formerly CABA) on AI in smart homes. https://zurl.co/HGg8

The Smart Home Technology & Market Trends project includes feedback from more than 800 consumers in the U.S. and Canada.

14/02/2024

“Edge computing” has always been a slippery term, partly because there’s not a single location that can be called the “network edge.” Any network has many potential edges. What edge computing refers to is the need to perform data processing as close to production as the application in question requires. Not every sensor needs computation ability parked right next to it. Some do and some don’t, and it depends entirely on context.

“The edge” is actually part of a much larger distributed systems story that involves collecting and feeding data into context-sensitive computation to make things happen in the real world in real time. Why does this matter? Because 85-90% of the data now being generated by billions—and soon trillions—of connected devices will lose most of its value if it is not processed seamlessly in real-time.



https://zurl.co/kptR?utm_source=facebook&utm_medium=Zoho+Social

07/02/2024

Advancements in artificial intelligence ( ) and machine learning ( ) have been dominating the headlines for months, but there’s also been a much less discussed shift happening on the other side of AI/ML: and .



https://zurl.co/T3KZ?utm_source=facebook&utm_medium=Zoho+Social

05/02/2024

Today, management attention in most OEMs still focuses on the known, the predictable, and the quantifiable. Anything too difficult to measure is often treated as if it were unreal. Even more misleading is the assumption that by adding software to the mix, “business as usual” will prevail over a given planning period. Such assumptions leave little room for technology disruptions or the increased presence of unfamiliar competitors.

https://zurl.co/ncbZ

01/02/2024

The only constant when it comes to is evolution. Infrastructure has never been static. From the ancient Roman plumbing systems to the electric streetlamps of the 1800s, we’ve continuously improved and upgraded our infrastructure. Today is no exception. Our infrastructure is in critical need of updating and, this time, it’s more than physical: the next evolution of infrastructure will be digital.

https://zurl.co/yhXr?utm_source=facebook&utm_medium=Zoho+Social

Tomorrow’s infrastructure combines physical with digital to power a digital nervous system, enhanced connectivity and smart micro grids.

29/01/2024

Today, management attention in most OEMs still focuses on the known, the predictable, and the quantifiable. Anything too difficult to measure is often treated as if it were unreal. Even more misleading is the assumption that by adding software to the mix, “business as usual” will prevail over a given planning period. Such assumptions leave little room for technology disruptions or the increased presence of unfamiliar competitors.

https://zurl.co/qr0Z

29/12/2023

Thank you to all of our customers and partners for making 2023 a great year. Cheers to a successful 2024 for all!

25/12/2023

Happy Holidays from the Harbor Research Team. We hope everyone has a relaxing and joyful holiday season.

02/11/2023

Today, management attention in most OEMs still focuses on the known, the predictable, and the quantifiable. Anything too difficult to measure is often treated as if it were unreal. Even more misleading is the assumption that by adding software to the mix, “business as usual” will prevail over a given planning period. Such assumptions leave little room for technology disruptions or the increased presence of unfamiliar competitors.

https://zurl.co/CP74