Andrew Ng reports from CES-2020

Andrew NG wrote “AI Steals CES” in his weekly Batch: “AI ruled the convention floor at the annual Consumer Electronics Show in Las Vegas. As usual, many products on display were half-baked concepts or solutions looking for problems. Among the highlights, some were already here, some almost ready, and others still in the lab.” He splits major displayed products in 3 categories: Here, Near, On the Horizon. Link

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Create Serverless Workflows with AWS Step Functions

AWS published a tutorial that describes how to use AWS Step Functions to design and run a serverless workflow that coordinates multiple AWS Lambda functions. It is a very simple while powerful mechanism to orchestrate your decision services deployed as AWS Lambda functions. In particular, it explains how to use State Machines for building stateful business applications by integrating stateless business services.   Link

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Decisions Are The Heart Of Insight-To-Action Cycles

Forrester’s April-2018 report “The Dawn Of Digital Decisioning” is now available for downloads (thanks to Decision Management Solutions): “A key challenge in digital business: deciding what to do in the customer’s moment of need — and then doing it. Digital decisioning software capitalizes on analytical insights and machine learning models about customers and business operations to automate actions (including advising a human agent) for individual customers through the right channels. Read on to learn about the requirements driving these new use cases, their potential to improve customer experiences, and the challenges application development and delivery (AD&D) pros face in building themLink

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Who will win? Spring Boot or Quarkus

DZone published the article “Microservices: Quarkus vs. Spring Boot“: “Nowadays, with the Microservice Architecture, perhaps it does not make sense anymore, nor any advantage, build something multi-platform (interpreted) for something that will always run on the same place and platform (the Docker Container — Linux environment). Portability is now less relevant (maybe more than ever), those extra level of abstraction is not important. Having said that, let’s perform a simple and raw comparison between two alternatives to generate Microservices in Java: the very well-known Spring Boot and the not so very well-know (yet) Quarkus.Link Continue reading

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Movie industry embracing AI

Warner Bros. has become the latest studio to publicly embrace artificial intelligence. The movie division has signed a deal with Cinelytic to use the latter’s AI-driven project management system that was launched last year. Under the new deal, Warners will leverage the system’s comprehensive data and predictive analytics to guide decision-making at the greenlight stage. The integrated online platform can assess the value of a star in any territory and how much a film is expected to make in theaters and on other ancillary streams. Link1 Link2

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BI Vendors failed to replace Spreadsheets

Toolbox published an article that, in particular, states: “Once viewed in the dashboard, business users wants to move that data to a spreadsheet. For most of the 2000s, BI vendors fought this desire from business users. BI vendors developed and marketed options that replaced spreadsheets. Fortunately, in the past decade, BI vendors have given up the fight, and BI solutions now work well with typical spreadsheet applications. They work so well that many people skip the BI vendor’s fancy interface or web application in favor of just getting data right into their spreadsheets. For all the glitz and appeal of the BI application interface, getting data straight into the spreadsheet is an excellent self-service interface for business users.

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Learning to Learn

We humans have the unique ability to learn from any situation or surrounding. We adapt our learning. We can figure out how we can learn. To acquire this kind of flexibility in learning, AI needs to have an effective and efficient way to learn about the learning process. The “learning to learn” problem (or Meta-Learning) appeared when technologists are trying to solve the exponential increase in computing power, as AI started to infer from data with increasing complexity. Read more

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