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Case Studies Books More Big Data Trends in 2020 GDPR, CCPA, and the AI Explainability Question Data Privacy Day 2020: 5 Lessons From The Past To Better Secure The Future Community Data Platforms Announces Grants to Support Local, Evidence-Based Decision-Making WISeKey’s VaultiTrust Delivers Secure IoT Digital Identities to Global Corporations Advertisement Upcoming Webinars Jan 30 Webinar: Why You Need End-to-End Data Quality to Build Trust in Kafka DATE: January 30, 2020 TIME: 2 PM Eastern / 11 AM Pacific PRICE: Free to all attendees This webinar is sponsored by: About the Webinar By adopting streaming architectures like Apache Kafka as a way to ingest and move large amounts of data very quickly, organizations are making major investments… Feb 5 DGPO Webinar: State of New Jersey – Supporting Criminal Justice Reform with Data Governance DATE: February 5, 2020 TIME: 2 PM Eastern / 11 AM Pacific PRICE: Free to all attendees This Webinar is Developed by: About the Webinar New Jersey legislation requires the courts to run a risk assessment against a defendant to determine the risk for non-appearance or likelihood to re-offend. To… Feb 11 DataEd Webinar: Data Architecture vs. Data Modeling – Compare and Contrast DATE: February 11, 2020 TIME: 2 PM Eastern / 11 AM Pacific PRICE: Free to all attendees About the Webinar Many are confused when it comes to data. Architecture, models, data – it can seem a bit overwhelming. This program offers a clear explanation of both Data Architecture and Data… On Demand Webinars Featured Online Training "What is...?": Build Your Own Bundle Click here for a free preview Learning Plan: Modeling Data as Graphs Click here for a free preview Learning Plan: Next- Generation Data Governance Click here for a free preview Latest Blogs by Industry Experts GDPR, CCPA, and the AI Explainability Question Click to learn more about Abhi Yadav In most large organizations, artificial intelligence (AI) and machine learning (ML) are powering key business functions, from big data analytics and customer service to fraud detection and personalized marketing. Insights that AI and ML can produce are powerful, but it’s often difficult, if not impossible, to explain how these algorithms arrived at them. This limitation could pose significant problems for compliance with the… Hybrid Solutions are the Hot Topic for 2020 LeaseWeb mei 2015, Hannie Verhoeven Fotograaf Click to learn more about author Lex Boost. In 2019, global hybrid solutions became the ‘hot topic’ for businesses. Industry experts anticipate this trend to continue this year as businesses seek to utilize the benefits of both public and private cloud solutions. The ability to merge public clouds with the capabilities of private clouds allows companies to efficiently handle high levels of activity –… Digital Transformation: Eight Tips for Selecting Digital Technology Click to learn more about author Manikandan (Mani) Seetharaman. Selecting technology is a challenging and complex task, particularly for global organizations. Screening available options that fit basic needs is the easy first step, but the real work lies in determining how far to advance from there. Multiple considerations need to be balanced, so having a roadmap to maximize corporate resources and make the best decisions is essential. Eight Tips for… Case Studies Case Study: Building a Business Intelligence Team with Confidence and Transparency Meeting the company’s goals is the responsibility of everyone in the organization, so even those who aren’t directly influencing the cost or the revenue side should know what those goals… Case Study: Crisp Video Finds Confidence in Cost-Effective Cloud Storage The last thing a manager wants to think about before falling asleep at night, is whether the customer data archived yesterday will be there tomorrow. Who knows when a client… Case Study: Data Protection and HCI for Carrs Tool Data Architecture Upgrade “Existing conditions” is a term for conditions that don’t last very long. Amazon changed the face of retail. Google democratized access to information. Facebook and pretty much every social media… Search Content by Data Topics BI / Data Science Database Data Architecture Data Literacy Data Strategy Data Modeling EIM Governance & Quality Smart Data What is...? What is a Data Analyst? Data analysts help businesses make better, more informed decisions by not only collecting and… What is a Data Architect? A data architect provides clear specifications, models, and definitions, translating a business’ Data Strategy… What is a Data Engineer? Data engineers build Data Architecture through infrastructures and foundations. A data engineer is tasked… What is Data Literacy? Data literacy describes the ability to read, work with, analyze, and argue with data,… What is DataOps? DataOps (Data Operations) is collaborative Data Management practices “focused on improving the communication, integration,… What is a Data Scientist? Data scientists emphasize rigor and performance when obtaining, scrubbing, exploring, modeling, and interpreting data.… Most Recent Articles Big Data Trends in 2020 In 2019, automation frameworks designed to process big data made it much easier to go from the start of a new analytics project to the production phase. Additionally, per the requirements of GDPR, many more businesses now have Chief Protection Officers (and likely Chief Data Officers), which has, in turn, resulted in their shifting from ad hoc analytics to more efficient, streamlined big data platforms. It is predicted that data… So You Want to be a Data Architect? Being a data architect requires a good understanding of the cloud, databases in general, and the applications and programs used to maximize their potential. A fully functional data architect understands all the phases of Data Modeling, including conceptualization and database optimization. They also understand a continuing education is part of the job. Typically, a data architect has a degree in information technology, computer science, computer engineering, or a similar field.… Updating Data Governance: Set Up a Cohesive Plan First Enterprises are taking Data Governance—planning and programming to control and secure data—more seriously. In a recent DATAVERSITY® Trends in Data Management Report, 76 percent of organizations have a Data Governance program in place or such a plan for the future. This makes sense as companies focus more on security and business growth. Data breaches have increased. Ransomware families have grown 700 percent since 2016 and attacks are up 365 percent… Data Governance Trends in 2020 Data Governance always has been a complicated issue for most organizations. That won’t change in a big way in 2020. In fact, the increasing prevalence of technologies like artificial intelligence (AI) and machine learning (ML) may show up some of the pains even more. Don’t take that to mean that companies aren’t becoming more mature in their approach to Data Governance, though. AI, ML, the Internet of Things (IoT), and… The Future of Deep Learning Deep learning (DL) became an overnight “star” when a robot player beat a human player in the famed game of AlphaGo. Deep learning training and learning methods have been widely acknowledged for “humanizing” machines. Many of the advanced automation capabilities now found in enterprise AI platforms are due to the rapid growth of machine learning (ML) and deep learning technologies. What’s Next for Deep Learning? attempts to answer this question… The Art of Data Extraction To be a data-driven business, companies need data. A lot of data. They have plenty of data in-house to work with, of course — their customer and sales data, data they get from their subscriptions to third-party data providers, and so on. But what about all that data on the web? Sou...