I have no doubt we will see artificial general intelligence (AGI) in my lifetime. For those wondering, AGI is a machine that has the capacity to understand or learn any intellectual task that a human being can. A number of tests have been proposed for this intelligence. One of these requires a machine to enter an average American home and figure out how to make coffee: find the coffee machine, find the coffee,

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I often get asked the question, “What is your data strategy?” It’s a bit of a tricky question as in some areas we do a lot with data, and in other areas, we do very little with it. The market has trained folks to believe they need to become ‘data-centric’ via a data strategy — and so it goes.

The data tools market has various solutions with overlap amongst the different segments which are defined differently by the analysts that cover them.

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Screen-scraping technology has been used for many years to speed the extraction and input of data by automating the user interface (UI) of an application. Consider a person entering data into an application. When performing manual data input, this person will enter data via the keyboard which transfers that information to fields in the UI of an application. If the user has millions of data-points, they might be better off writing a macro that automates the cut-and-paste of these data-points from a spreadsheet to the application.

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A surprise awaited me as I arrived to a recent analyst briefing. My scheduled analyst, the one responsible for integration, had to cancel. His replacement was the analyst responsible for IoT. What were we going to talk about? As it turns out, quite a lot.

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Since our Anypoint Platform October 2018 release, you’ve likely heard us talking a lot about the application network graph. We have continued to build on this foundational release and increasingly the application network graph is driving intelligence across Anypoint Platform.

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GraphQL provides front-end developers a query layer that returns back-end data from diverse, complex sources in a friendly and efficient way. Learn more about the relationship between GraphQL and Anypoint Platform.

It’s conference season, and this year we hosted Sibos in Sydney. Amongst the hot topics were Australia’s New Payments Platform (NPP), open banking and marketplace banking. In this post I share the top insights and trends emerging in the financial industry.

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Many customers I meet are either evaluating or beginning their implementation of microservice architectures. Some of these customers are coming off big-bang projects that have failed to replace large legacy assets.

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I have always been a firm believer that there is no such thing as a dumb question. Many times I have outed myself as the dumbest guy in this room with a simple question, and in the process, I hope I have been able to enlighten others.

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For those of us who work in financial services, blockchain is the most interesting technology trend to emerge in recent years. Evangelists of this technology expose the decentralized nature of blockchain, and use phrases like “world computer” to describe the promise of this technology. While it’s true that blockchain has revolutionary potential, it’s important at this stage of the adoption cycle to investigate valuable use cases that will drive broader adoption.

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