Why it’s still worth it to learn Java

Python and Go may get all of the hype, but Java is still potentially the smartest language for developers seeking a new job to learn right now. Despite being more than 20 years old, Java remains an enterprise mainstay: The programming language currently tops the TIOBE Programming Community index, and Java developers saw some of the fastest-growing salaries in the US in 2018, according to Glassdoor. Link

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Is Your Insurance Business Missing a Critical Decision Window When it Comes to AI?

Yesterday Craig Bedell from IBM’s Global Insurance Industry Leadership Team wrote: “I believe most insurance companies have hit a critical point in time with regards to their investments in analytics, innovation and even AI, where business leaders are measuring more critically the “success” of programs to date by what they have contributed to the bottom line of the organization. I am seeing innovation and analytics groups struggling, not for the lack of developing new insights, but rather because their insights are not being adapted into the day-to-day decision-making processes of the company to really make the differences they promise.” Recently, Craig and James Taylor co-authored this whitepaper

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The ML Surprise

Peter Norvig points to the ML “surprise” described in Josh Cogan’s article “The Surprising Truth About What it Takes to Build a Machine Learning Product“:  “Optimizing an ML algorithm takes much less relative effort, but collecting data, building infrastructure, and integration each take much more work. The differences between expectations and reality are profound.” Link

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Rolando Hernandez: Spaghetti Rules vs. Business Rules

How do you explain Decision Management and Business Rules Management to a CEO, why it matters to them, and why they should hire you? In 60 seconds? Here is how I do it. First, I have 30 seconds to explain Business Rules Management. I need a better name for that concept, so I call it Spaghetti Rules vs. Business Rules. I took a page out of the Marketeer’s Handbook and coined a term that is worth a thousand words or an hour in a seminar. Then I drew a picture. This picture says it all. CEO’s “get” rules in 10 seconds. Next, I have 30 seconds to explain Decision Management...” Link

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Finding Optimal Locations of New Store using Decision Optimization

Vincent Beraudier, IBM, in his notebook describes how to model and solve the following business problem: “A fictional Coffee Company plans to open N shops in the near future and needs to determine where they should be located knowing that most of the customers of this coffee brewer enjoy reading and borrowing books, so the goal is to locate those shops in such a way that all the city public libraries are within minimal walking distance.” He used Chicago open data as an example, and applied IBM’s Decision Optimization on Cloud available for trial for free. Link

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Data Decisioning

Data Decisioning was recently founded by Peter Schooff and John Morris, two veterans with decades of success in enterprise technology. Why? “What’s more important than data to today’s enterprise? The decisions a company makes based on that data will determine their success in the marketplace. In fact, improving decisioning is one of the central arguments for implementing a big data or AI solution in the first place. Our goal at Data Decisioning is to help make sense of the massive volumes of data that threaten to overwhelm companies every day.” Their website provides interesting articles for DM practitioners. Link Continue reading

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Google: Your Deep-Learning-Tools-for-Enterprises Startup Will Fail

Today Peter Norvig, the Research Director at Google, posted at LinkedInWhether you like it or not, selling enterprise tools for machine learning is really hard. Why? The industry is still fragmented, too many different components and moving parts without standardization, so you can’t create a one size fits all solution. If your startup is working on deep learning tools to serve a broad enterprise customer base, you are probably going to fail. But hey, don’t take my word for it, hear it from Clemens Mewald, “Your Deep-Learning-Tools-for-Enterprises Startup Will Fail” at https://lnkd.in/gVEffZC

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