Software developer Emily Koskinen recently joined Lempea after a traineeship through Mimmit koodaa. Program coordinator Milja Köpsi: “We need to have a broad discussion about stereotypes and what we expect men and women to be. When we perpetuate these stereotypes, we lose strength and skill.”
RAIN is the data application platform that lets businesses fuse and monetize data from any source with no coding required, to accelerate their business transformation with digitalization.
Our first newsletter is out! As with everything we do on this oh-so-dynamic journey of the native edge-to-cloud data transformation, we learn on the job. We make assumptions, test them with our partners and customers, and iterate. This first issue is based on, like, 80% assumptions and 20% feedback. We’d like to flip those numbers by asking you how we can improve.
We’ll be attending the Kubernetes Slovenia Spring 2021 Meetup next week. Andraž Logar and his colleagues at 3fs helped Henri Kivioja turn his idea – of pushing data processing capabilities as close as possible to where the data are created – into the platform we now call RAIN. Isn’t it about time that Kubernetes awesomeness went mainstream in Finland?
“The cheapest new energy production as such is Finnish onshore wind. Period,” says Juha Sarsama, CEO of Ilmatar Windpower Plc. And: “There is lots of premium to be had if the grid needs frequency and you can provide the exact amount of power that you have committed to during the exact 15 minutes when it is needed. (…) [T]this where data becomes crucial.”
The amount and variety of data that we will have access to can be overwhelming and even paralyzing. There will be a lack of standardization at first, and confusion as to where one should start to get a grip on it all. But it also represents a tremendous opportunity to manage everything more ecologically and cost-effectively.
To spur some good ideas on how to reduce carbon emissions from its district heating system, the Finnish capital organized the Helsinki Energy Challenge. We see an ever increasing role for smart data collection, edge AI data reduction, availability and control across the edge-to-cloud continuum. Many future systems, including our energy system, depend on it.
Turning your data into a competitive edge doesn’t need to cost an arm and a leg. The important thing is to start experimenting with data collection for AI-informed business decision making. There is plenty of low-hanging fruit to be had with the Internet of Things (IoT) in the energy sector.
When the required response time becomes sub-second, or even in the range of milliseconds, a centralized cloud solution without edge computing and fast connectivity will be too slow. Virtual power plants’ (VPPs’) cloud infrastructure and RAIN’s dynamic, modular edge architecture are “a match made in Kaivokatu – a.k.a. ‘heaven’”.
Through RAIN’s web UI, one can connect any data feeds coming from any connected machine. The physical location of where the processing node runs can be anywhere. The output can be shown anywhere. The resulting action can take place anywhere. It all happens on the edge-to-cloud continuum.
American wind power was in the headlines in more ways than one this week. Last month, apparently, a frequency disruption and a lack of operating reserves in France nearly caused a Europe-wide blackout. What is the current state of distributed data processing capabilities in the European grid?
Within the next twenty years, wind is projected to become the largest source of energy in Europe. The Nordic energy network and market is of particular interest due to its advanced technology road map, including the availability of 5G connectivity, and its deepening integration. Let’s talk with the experts.
Cameras can be great for monitoring what happens at specific locations, for taking inventory, for tracking how things change or move, how people behave, and even for finding people or lost items. Here we have pothole detection as an example use case of object recognition with Edge AI.
The telco paradigm of intelligent data processing and routing at the edges AND the cloud – which we sometimes refer to as the “edge-to-cloud continuum” – is the future of the energy system.
Software developer Emily Koskinen recently joined Lempea after a traineeship through Mimmit koodaa. Program coordinator Milja Köpsi: “We need to have a broad discussion about stereotypes and what we expect men and women to be. When we perpetuate these stereotypes, we lose strength and skill.”
RAIN is the data application platform that lets businesses fuse and monetize data from any source with no coding required, to accelerate their business transformation with digitalization.
Our first newsletter is out! As with everything we do on this oh-so-dynamic journey of the native edge-to-cloud data transformation, we learn on the job. We make assumptions, test them with our partners and customers, and iterate. This first issue is based on, like, 80% assumptions and 20% feedback. We’d like to flip those numbers by asking you how we can improve.
We’ll be attending the Kubernetes Slovenia Spring 2021 Meetup next week. Andraž Logar and his colleagues at 3fs helped Henri Kivioja turn his idea – of pushing data processing capabilities as close as possible to where the data are created – into the platform we now call RAIN. Isn’t it about time that Kubernetes awesomeness went mainstream in Finland?
“The cheapest new energy production as such is Finnish onshore wind. Period,” says Juha Sarsama, CEO of Ilmatar Windpower Plc. And: “There is lots of premium to be had if the grid needs frequency and you can provide the exact amount of power that you have committed to during the exact 15 minutes when it is needed. (…) [T]this where data becomes crucial.”
The amount and variety of data that we will have access to can be overwhelming and even paralyzing. There will be a lack of standardization at first, and confusion as to where one should start to get a grip on it all. But it also represents a tremendous opportunity to manage everything more ecologically and cost-effectively.
To spur some good ideas on how to reduce carbon emissions from its district heating system, the Finnish capital organized the Helsinki Energy Challenge. We see an ever increasing role for smart data collection, edge AI data reduction, availability and control across the edge-to-cloud continuum. Many future systems, including our energy system, depend on it.
Turning your data into a competitive edge doesn’t need to cost an arm and a leg. The important thing is to start experimenting with data collection for AI-informed business decision making. There is plenty of low-hanging fruit to be had with the Internet of Things (IoT) in the energy sector.
When the required response time becomes sub-second, or even in the range of milliseconds, a centralized cloud solution without edge computing and fast connectivity will be too slow. Virtual power plants’ (VPPs’) cloud infrastructure and RAIN’s dynamic, modular edge architecture are “a match made in Kaivokatu – a.k.a. ‘heaven’”.
Through RAIN’s web UI, one can connect any data feeds coming from any connected machine. The physical location of where the processing node runs can be anywhere. The output can be shown anywhere. The resulting action can take place anywhere. It all happens on the edge-to-cloud continuum.
American wind power was in the headlines in more ways than one this week. Last month, apparently, a frequency disruption and a lack of operating reserves in France nearly caused a Europe-wide blackout. What is the current state of distributed data processing capabilities in the European grid?
Within the next twenty years, wind is projected to become the largest source of energy in Europe. The Nordic energy network and market is of particular interest due to its advanced technology road map, including the availability of 5G connectivity, and its deepening integration. Let’s talk with the experts.
Cameras can be great for monitoring what happens at specific locations, for taking inventory, for tracking how things change or move, how people behave, and even for finding people or lost items. Here we have pothole detection as an example use case of object recognition with Edge AI.
The telco paradigm of intelligent data processing and routing at the edges AND the cloud – which we sometimes refer to as the “edge-to-cloud continuum” – is the future of the energy system.