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DATE: December 1, 2020 TIME: 2 PM Eastern / 11 AM Pacific PRICE: Free to all attendees This webinar is sponsored by: About the Webinar Graph databases are seeing a spike in popularity as their value in leveraging large data sets for key areas such as fraud detection, marketing, and…
DATE: December 2, 2020 TIME: 8:00 AM - 11:45 AM Pacific / 11:00 AM - 2:45 PM Eastern PRICE: Free to all attendees Welcome to DATAVERSITY’s newest education opportunity, Demo Day, an online exhibit hall. We’ve had many requests from our data-driven community for a vendor-driven online event that gives…
DATE: December 8, 2020 TIME: 2 PM Eastern / 11 AM Pacific PRICE: Free to all attendees About the Webinar The difficulty of implementing a new data strategy often goes under-appreciated, particularly the multi-faceted procedural challenges that need to be met while doing so. Deficiencies in organizational readiness and core…
加速器安卓版免费试用
加速器安卓版免费试用

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加速器安卓版免费试用

Click to learn more about author Thomas Frisendal. What can data modelers learn from accountants? Accounting is a solidly established practice that the world cannot live without. One of the established guidelines for accountants is called GAAP (Generally Accepted Accounting Principles in the US), and there are similar international setups. You might guess these standards are about rules, but actually, accounting is much more than that. It contains some very…

Click to learn more about author Patrick Hubbard. In the sparkly, golden days before the new normal, many office workers probably considered “infrastructure” to be the buildings they worked in and their desks and computers. But in what seemed like the blink of an eye, workers learned infrastructure has become a complex digital amalgam — it’s the cloud, mobile access, proxies, VPNs, Slack, Zoom, laptops, tablets, and SaaS everywhere in between.…

Click to learn more about author Anand Govindarajan. During the days of building data warehouses and BI systems, all that was captured, as truly “metadata,” was the data about creation/access of the data structures for audits, data about the execution of data loads, and so on. Primarily, whatever supported the “operations” of the data warehouse. During the Data Modeling phase, the description of the entities was captured in the modeling…
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Cornell University is a privately endowed research university founded in 1865. Ranked in the top one percent of universities in the world, Cornell is made up of 14 colleges and…

Human trafficking is believed to be the third-largest criminal activity in the world, according to the FBI. The Department of Homeland Security advises that industries around the world including agriculture,…

Click to learn more about author Michael Jack. Background UMass Memorial Health Care is the largest healthcare system in Central Massachusetts. It is the clinical partner of UMass Medical School,…
加速器安卓版免费试用
加速器安卓版免费试用

Augmented analytics combines sophisticated machine learning (ML) and natural language processing (NLP) to enable…

Analytics, is described as: “[An] encompassing and multidimensional field that uses mathematics, statistics, predictive…

Business Intelligence (BI) includes the technologies and tools used to analyze and report on…

Descriptive analytics, or business intelligence, uses historical information to answer the question “What Happened?” Think of…

Predictive analytics defines outcomes through models to answer the question “What will likely happen?”…

Prescriptive analytics uses outcomes and scenarios to answer the question “What should we do…
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Augmented analytics is one of the top 10 technologies Gartner identified with the potential to cause significant digital disruption in the next three to five years. The hallmark of augmented analytics is its high reliance on AI and ML technologies. AI and ML together will transform enterprise Data Management in the coming years, and many emerging technologies like the multi-cloud, edge, serverless, IoT, and big data will collaboratively contribute to…

“If Google can deliver results across the entire internet in seconds, why do I have so much trouble finding things in my organization?” asked Jonathan Adams, Research Director at Infogix, at the DATAVERSITY® DGVision Conference. In a presentation titled, “I Never Metadata I did Not Like” Adams outlined successful approaches to understanding and managing metadata What is Metadata? According to the DAMA International Data Management Body of Knowledge (DAMA-DMBoK2), the…

The uniqueness of serverless computing is its ability to survive without the presence of physical machines and systems software. In the serverless computing world, the client subscribes to a set of services including special “APIs and web services” that software developers can use to quickly build useful and scalable architectures for on-demand computing services. Serverless can be considered Function-as-a-Service (FaaS), but the term “serverless” is more inclusive, indicating a broader…

The shift in the business perception of data has now catapulted Data Management into new heights. Data Science is a core component of Data Management now, but Data Management and Data Science are often seen as two different activities. Working among data analysts, data engineers, and DBAs, data scientists spend their time getting the data infrastructure right for data analysis and competitive intelligence. But, in the growing next-generation data market,…

Cornell University is a privately endowed research university founded in 1865. Ranked in the top one percent of universities in the world, Cornell is made up of 14 colleges and schools serving roughly 22,000 students. Jeff Christen, data warehousing manager at Cornell University and adjunct faculty in Information Science, and Chris Stewart, VP and general manager, USA at WhereScape, talked with DATAVERSITY® about how Cornell dealt with the end-of-life for…

Kristen Serafin, associate director at Financial Industry Regulatory Authority (FINRA) and Lizzie Westin, lead systems analyst at FINRA, speaking at DATAVERSITY® Enterprise Analytics Online Conference, shared how they were able to gain traction for a successful machine learning program. The presentation was titled Ushering in the Age of Machine Learning. FINRA is a private, not-for-profit organization, responsible for regulating equities and options trading activity. Although FINRA reports to the federal…
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DATE: February 6, 2019, This webinar has passed. The recording will be made available

DATE: February 6, 2019, This webinar has passed. The recording will be made available

DATE: February 6, 2019, This webinar has passed. The recording will be made available

DATE: February 6, 2019, This webinar has passed. The recording will be made available

DATE: February 6, 2019, This webinar has passed. The recording will be made available

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