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Lead Data Science Consultant/ Berater

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How Artificial Intelligence can detect and combat money laundering networks

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AI technology has proven to be reliable, especially when it comes to detecting money laundering, and is empowering leading firms to tackle the issues in an increasingly effective manner, writes John Spooner. Artificial Intelligence (AI) has evolved from being a technology buzzword to the commercial reality it is today.  This technology is

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Analyst’s eye: a subjective review of big data solutions

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Nowadays, the availability of technology for large-scale analysis is not a problem. Often, however, the excess of available options makes it difficult to choose the right path for yourself. Register here

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7 common myths around Data Science

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What’s data science and why is it so important? Every day we hear and read about data science and unfortunately, it gets often confused with other terms or it is simply misunderstood. Actually, data science stands for a very specific set of activities and skills, bringing value to data and

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IoT and Big Data: 6 Retail and Financial Services trends to watch out for

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While the impact of the IoT industry in the past few years has been nothing short of impressive, the disruption this technology will bring to the financial services market will be just as impactful. According to a research study by Markets and Markets, the global banking and financial services IoT

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Articles Learning & Development

Building Spring Boot application for Apache Kafka Admin operations

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1. About this article Apache Kafka is a distributed streaming platform which is for building real-time streaming data pipelines and applications. Managing Kafka cluster is not an easy task and sometimes confusing. In this article, I will show you how you can implement an application which is capable to do

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6 Important Big Data Future Trends

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Many people agree that big data is here to stay and not a mere fad. Something that is not so clear-cut to everyday individuals concerns the future trends of big data analytics. These technologies are quickly evolving. What does that mean for the businesses that use them now or will

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Real-time decision making for auto loans – Case Study

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Using Akka, Spark and Cassandra To Scale Real-Time Auto Loan Decisioning At Capital One Capital One Auto Navigator For most people, going to the car dealer is a chore right up there with unwanted dental surgery or a visit to the local DMV. It’s just a necessary but unpleasant task

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The rise of event stream processing

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“The perfect kind of architecture decision is the one which never has to be made”  Robert C. Martin From being a phenomenal trend to becoming one of the most essential IT designs considerations, event streaming has evolved to be pivotal for businesses due to an exponential increase in data and

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Articles Popular

Kibana: Data visualization made easier

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Kibana makes data analytics easy. It is one of the elites in providing visualization solutions for enterprises for data sets including runtime data, server logs, market statistics, geo-spatial data mappings, density graphs. It works with Elasticsearch and supports machine learning. The tool can unravel secrets such as trends/patterns from the

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3 reasons your company needs real-time anomaly detection

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In the business world, time is money. When an anomaly, or unexpected data pattern, occurs, each second can amount to additional loss or missed opportunities. This is especially true for a fast-moving, data-driven business. When manual thresholds and dashboards prove no match at managing millions of metrics, companies need to

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Real-Time Data Streaming, Kafka and Analytics, Part 2: Going Beyond Pure Streaming

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Data transaction streaming is managed through many platforms, with one of the most common being Apache Kafka. In our first article in this data streaming series, we delved into the definition of data transaction and streaming and why it is critical to manage information in real-time for the most accurate