I’ve already share some of the new AI features in Office, like Excel Ideas or real-time captions / subtitles in PowerPoint.
Today I’ll switch to Office editor, to share something amazing. I added Clippy to this post title and the idea is similar to the Clippy intents a long time ago:
An AI assistant will analyze the text while you are writing it or reading it, and it will suggest actions related to this text.
A single image is the best way to show this
I received this email last week and I notice that part of the text was automatically highlighted and show an amazing suggestion. It seems that the Word, Outlook editor is becoming more and more intelligent.
And I’m really looking forward to some extensibility SDK, so someone can really bring back Clippy at 100%
a set of foundational components and features to accelerate MR app development
in Unity. The latest Release of MRTK (V2) supports HoloLens/HoloLens 2, Windows
Mixed Reality, and OpenVR platforms.
Provides the basic
building blocks for unity development on HoloLens, Windows Mixed Reality,
Showcases UX best
practices with UI controls that match Windows Mixed Reality
and HoloLens Shell.
via in-editor simulation that allows you to see changes immediately.
Is extensible. Provides devs
ability to swap out core components and extend the framework.
wide range of platforms, including
Microsoft HoloLens 2
Microsoft Immersive headsets
Windows Mixed Reality
OpenVR headsets (HTC Vive /
Input Simulation Service
The Input Simulation
Service emulates the behaviour of devices and platforms that may not be
available in the Unity editor. Examples include:
HoloLens or VR device head tracking
HoloLens hand gestures
HoloLens 2 articulated hand tracking
As usual, a video is the best way to describe this
Unreal Engine 4.22 released
New: HoloLens Remote Streaming Support
Unreal Engine 4 now supports Holographic Remoting
through the Windows Mixed Reality plugin! This allows Unreal
applications to run on a Windows desktop PC and stream the rendered result
wirelessly to HoloLens over a Wi-Fi connection in real time.
After an amazing event with my friends from Metro Toronto UG, it’s time to share some resources. It was initially supposed to be focused only on Azure Notebooks, but somehow we spend a lot of time talking about Cognitive Services and Custom Vision, that was great!
Today I’ll switch to Excel to share some of the other amazing AI features embedded in Microsoft Office: Excel Ideas.
Excel Ideas is this new tool we have in Excel which will allow us to get some insights about the selected information in a worksheet. In order to use this tool, we need to select a set of data and click the [Ideas] button in the Ribbon.
In order to write this post, I downloaded a sample set of spatial data from SpatialKey (see references). The sample insurance file contains 36,634 records in Florida for 2012 from a sample company that implemented an agressive growth plan in 2012. There are total insured value (TIV) columns containing TIV from 2011 and 2012, so this dataset is great for testing out the comparison feature. This file has address information that you can choose to geocode, or you can use the existing latitude/longitude in the file.
Once I selected the full set of Data, is nice to see the following insights
If you are a PowerBI user, this type of information and analysis will be familiar. To me is nice to see that we have this capabilities in a single click in a popular tool like Excel.
There are over +40 insights and it’s nice to browse them and find that in Miami Dade County, the site deductible is higher for Steel Frame and Reinforced Concrete constructions.
With 2 click we can analyze some Open Data related to traffic on Ontario and see how the traffic slowly increases in Hwy 69.
An amazing tool inside Excel to quickly get insights on our data.
Integrated with Azure IoT Edge and working with the Microsoft Azure Machine Learning service (public preview), this Azure IoT Starter kit enables developers to build vision AI solution and run their AI models on the device.
The device uses the Qualcomm vision intelligence platform for hardware acceleration of the AI model to deliver superior inferencing performance. And is specifically designed to deploy AI models built using Azure Machine Learning with Azure IoT Edge.
I just realize that you can also deploy to this camera, ONNX models from Azure AI Gallery, Azure ML models and of course, custom models created using CustomVision.ai. It’s all supported and managed using Azure IoT Edge.
So, now it’s time to check my delivery dates to see how much time I need to wait for my device to arrive and start to check the export option available in the CustomVision.ai portal!
So, I’m fully focused on have an amazing Canadian !nnovate Event in Avanade and I almost miss this new service, in the Cognitive Services Family: Anomaly Detector.
I was planning to run my 30K Around the Bay this weekend and also finish my session for the next Global AI Night (link), however I may play around with this service and add a quick reference on the next event.
After spending sometime today reading about the service, it seems that it works with time series of data and using specific models, it focus on anomalies of data on the series and .. magic! I think the official documentation explains this better:
The Anomaly Detector API enables you to monitor and detect abnormalities in your time series data with machine learning. The Anomaly Detector API adapts by automatically identifying and applying the best-fitting models to your data, regardless of industry, scenario, or data volume. Using your time series data, the API determines boundaries for anomaly detection, expected values, and which data points are anomalies.