Archive for email

The Specter of Spectre (and Meltdown)?

CPU Usage

About a month ago, my desktop computer started having problems. Weird problems. For example, loading an uncached website was exceeding slow. I thought that maybe that was because of a network issues or something was up with Firefox. After a bit of digging around I realized that was unlikely. The same problems happened with both Microsoft Edge and Google Chrome. Speed tests from my browser and router were within normal parameters.

About the same time I began to have issues with Outlook. Specifically, Outlook would be very slow to synch IMAP accounts. I have several email accounts that I access via IMAP and updating them all would often so slow that Outlook would hang or crash.

There were other applications affected, especially when running a number of Office applications or streaming music from Spotify while working. Could it be a virus? Unlikely. Unless it’s a very new and stealthy one, my anti-virus would have picked it up. Hardware problem? Everything checked out. Something in Windows corrupt? Not seeing the usual signs of that and the Ubuntu BASH shell is also running pretty slow. It would have to be a pretty deep DLL issue to have that type of effect.

What I finally realized is that my problems began after a recent Windows update. This would be the update with the patch for Meltdown and Spectre. Could the patch have dramatically affected the performance of my PC this much? It’s certainly possible. A patch that changes how the chip handles parallel and concurrent operations would make sense as the culprit. Programs that download multiple components from the internet or are trying to synch several folders from multiple IMAP accounts at once would also be impacted more from kernel level patches.

I can’t tell. Does anyone have solid evidence of Windows 10 patches slowing down basic applications like Browsers or Outlook? Who else is seeing these same issues? Let me know.

 

Microsoft Infuses Products with Machine Learning and the Social Graph

Micsoroft plus LinkedIn Social Graph

This article was recently published on Amalgam Insights.

 

This past week (September 25 – 27, 2017) Microsoft held it’s Ignite and Envision Conferences. The co-conferences encompass both technology (Ignite) and the business of technology (Envision). Microsoft’s announcements reflected that duality with esoteric technology subjects such as mixed reality and quantum computing on equal footing with digital transformation, a mainstay of modern business transformation projects. There were two announcements that, in my opinion, will have the most impact in the short-term because they were more foundational.

The first announcement was that machine learning was being integrated into every Microsoft productivity and business product. Most large software companies are adding machine learning to their platforms but no company has Microsoft’s reach into modern businesses. Like IBM, SAP and Oracle, Microsoft can embed machine learning in business applications such as CRM. Microsoft can also integrate machine learning into productivity applications as can Google. IBM can do both but IBM’s office applications aren’t close to having the market penetration of Microsoft Office 365. Microsoft has the opportunity to embed machine learning everywhere in a business, a capability that none of their competitors have.

For the average knowledge or office worker, having machine learning embedded in the applications that they use every day means help doing their normal daily tasks. Machine learning in of itself is useful for analysis or automation. The real power of machine learning will be most evident when it is available to help with everyday tasks such as scheduling, analyzing data in spreadsheets, managing customers, developing financial projections, enhanced search capabilities, and creating impactful presentations. For corporate workers, this is the type of AI technology that helps them to do their jobs better, making them more valuable rather than obsolete.

The second was the integration of Microsoft 365, Microsoft’s social graph platform, with LinkedIn and Dynamics social graphs. Since Microsoft purchased LinkedIn, the big question has been “how will they leverage it?” The answer is finally here. By combining the Microsoft 365 (contacts internal to the company) and Dynamics (contacts external to the company) social graphs with the personal connections of employees, Microsoft products will help to surface and leverage useful relationships no matter what they are. There are some obvious advantages. First, it means being able to connect the right group of people together to accomplish something no matter how they are linked. By breaking down the walls between the personal, internal, and external relationships, Microsoft will allow knowledge workers to find and foster essential connections that are at the heart of business. The most obvious beneficiaries will be sales and marketing by surfacing paths to and intelligence about people that they need to do business with. Social graphs also represent rich data that can be mined for a variety of other purposes. Since the Microsoft 365 is extensible, other information about people, relationships, and location can be added to the extended social graph. This will create a rich pool of information that can be mined for a variety of purposes. Applications include finding and managing vendors and partners, recruiting new personnel from internal and external pools, identifying better ways to communicate, and seeking out M&A targets.

Microsoft’s announcements are, aside from the quantum computing announcement, more incremental but in a good way. They are taking highly hyped but useful technology and making it relevant to the masses. Both machine learning and social graphs will no longer be primarily the realm of specialized applications. Instead, through inclusion in Microsoft’s most ubiquitous apps especially Office 365, they have the potential to become part of the fabric of everyday work life.