Remove specials us extreme-weather
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Turning climate risks into business opportunities 

IBM Journey to AI blog

Climate change causes extreme weather events across the world that endanger people’s lives and disrupt the businesses on which they depend. In addition to extreme weather risks, there can be chronic climate risks, such as rising sea levels and sustained higher temperatures.

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Everything is Connected, Everything Changes

Alation

The popularity of location data and GIS-styled analyses has amplified a common cry in GIS- turned-data-science circles: “Spatial isn’t special!” I think this spatial isn’t special cry has good intentions, those of us trained in GIS shouldn’t be gatekeepers, rather we should be gate openers. Spatial isn’t special.

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Climate change predictions: Anticipating and adapting to a warming world

IBM Journey to AI blog

The collaboration is currently focused on building an AI-powered foundation model to make climate and weather applications faster and more accurate. The model could potentially be used to identify conditions that raise the risks of wildfires and predict hurricanes and droughts. degrees Celsius (2.66 Global Change Research Program.

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How one IBMer is creating a more sustainable future for the island where he grew up

IBM Journey to AI blog

These extreme and unpredictable weather events can topple the island’s utility infrastructure, resulting in damaging power outages, financial impacts and property loss. The community relies on external sources for most of its energy supply, which could result in an increased costs to residents.

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Conversational Agents in LangChain

Heartbeat

Recommended Content Security Harpreet Sahota joins us from Deci today to detail YOLO-NAS as well as where Computer Vision is going next. LangChain wants us to start moving to LCEL, so let me show you how to create an agent. ? Sunrise: 8:12 CST Sunset: 16:28 CST Averages and extremes 03 Dec Average high -6.8 °C n``` Awesome!

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Meet the winners of the Tick Tick Bloom: Harmful Algal Bloom Detection Challenge

DrivenData Labs

We need creative solutions that combine methods with satellite and other data to make these satellites help us. Although an area-based group k-fold CV may appear to be better for training a tree model in this region, this is due to the unbalanced data label, and using a model trained with unstable data is always risky.

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Machine Learning in Marketing: Benefits and Examples of Use?—?NIX United

Mlearning.ai

And this is where machine learning can be extremely effective. If you’re interested in collaborating with such a team, or just want to consult on the need for incorporating machine learning into your marketing processes, please, contact us. Let’s start our list of machine learning marketing use cases with Netflix.