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Oracle: All the New Stuff Inside Everything

Oracle Open World 2017

As expected, Oracle OpenWorld 2017 (Oct. 1 – 4 2017) featured a large number of announcements. The debut of Oracle 18c, the latest version of Oracle’s eponymous database, grabbed the most attention. Given it’s billing as an autonomous database and Oracle’s flagship product, this is not suprising.. While the idea of a database infused with machine learning that automates all types of database management functions is intriguing, it overshadowed the real impact of Oracle releases. Oracle 18c was only one of several AI-infused “autonomous” products. Instead, the sum of Oracle’s presentations amounted to adding machine learning into all levels in the Big Red Cloud Stack. AI is now integrated into

Quantum Computing Gets a New Player

Feynman Diagram

This was originally published on the Amalgam Insights website. Last week (the week of September 25th, 2017) Microsoft made a huge announcement at its annual Ignite and Envision conference. Microsoft has become one of a small number of companies that is demonstrating quantum computing. IBM is another company that is also pursuing this rather futuristic computing model. For those who are not up to date on quantum computing, it uses quantum properties such as superposition and entanglement to develop a new way of computing. Current computers are built around tiny electron switches called transistors that allow for two states, which represent the binary system we have today. Quantum computers leverage

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

Something New and Exciting

If you have had the opportunity to go to the Amalgam Insights website today, you would have noticed that I have just joined as a Contributing Analyst. I’ve known the founder, Hyoun Park, for many years and have always respected his insights and, especially, his economic modeling skills. As a Contributing Analyst, I will be working on research, projects, and content on collaboration and new ways of work, developer tools, IT project efficiency, governance, and methodologies, and DevOps. I will also be using my recent experience working for a large, global, bank in looking at how my research applies to regulated industries especially Financial Services. So you can look for my

Atlassian Summit 2017 Livestream

I’ve concluded that, for a lot of tech company user conferences, the livestream is the best choice. You get the announcements and keynotes, some of the better sessions, but none of the expense and hassle. If you are a hardcore software developer or IT professional, then the conference is likely worthwhile since it provides an opportunity to connect to others in your field. For bloggers, marketing pros, analysts, and the rest of the ecosystem, the livestream does just fine. Livestreams were also a way to “attend” events that your company or schedule would not permit. Such is the case with Atlassian Summit 2017. The company I worked for (but no

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.

Something New and Exciting

If you have had the opportunity to go to the Amalgam Insights website today, you would have noticed that I have just joined as a Contributing Analyst. I’ve known the founder, Hyoun Park, for many years and have always respected his insights and, especially, his economic modeling skills.

As a Contributing Analyst, I will be working on research, projects, and content on collaboration and new ways of work, developer tools, IT project efficiency, governance, and methodologies, and DevOps. I will also be using my recent experience working for a large, global, bank in looking at how my research applies to regulated industries especially Financial Services.

So you can look for my insights and analysis over at the Amalgam Insights site but much of it will be mirrored here as well.

He’s back…..