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Deep Learning and Analytics: What is the Intersection?

Emergent artificial intelligence (AI) technologies, especially the automated algorithms populating analytics platforms, are impacting and reshaping the world of business analytics. The underlying connections between traditional analytics processes and the disruptive technologies will make you cheer if you happen to be a data scientist or a business analyst — because your redefined role in the […]

Working Towards Explainable AI

“The hardest thing to understand in the world is the income tax.” This quote comes from the man who came up with the theory of relativity – not exactly the easiest concept to understand. That said, had he lived a bit longer, Albert Einstein might have said “AI” instead of “income tax.” Einstein died in […]

Data Intelligence on the Edge

The term “edge intelligence,” also referred to as “intelligence on the edge,” describes a new phase in edge computing. Organizations are using edge intelligence to develop smarter factory floors, retail experiences, workspaces, buildings, and cities. The edge has become “intelligent” by way of analytics that were formerly limited to the cloud or in-house data centers. […]

Utilizing Business Intelligence with AI

Business intelligence (BI) is, in essence, new information that is not necessarily common knowledge and is sought to gain a competitive advantage over the competition. Business intelligence comes from a variety of sources, ranging from spies working for the competition to data mining. Contrary to the theme of several current articles, business intelligence is not […]

Advances in Natural Language Processing

Natural Language Processing (NLP) unlocks the ability of machines to read text, hear speech, and interpret words, and NLP has advanced greatly in the last five years. NLP improves data analytics, detects malware, and fights fake news. For example, using NLP the Citation-Informed Estimated Truth (CIET) software program identifies authentic news with a 78 percent […]

Self-Service Analytics Use Cases

Self-service analytics offers dynamic reports to business users, who can analyze the data by sophisticated, in-built functions. This kind of user empowerment reduces reliance on IT staff. Moreover, self-service business intelligence (BI) capability may additionally equip users with external data access and built-in features to instantly generate finished reports. To use a complete range of […]

Blockchain Trends in 2020

2020 is likely the year when blockchain technologies will witness higher adoption rates and usage across industry niches. As announced in 2019, China may lead the way to substantial investment in blockchain research and applications. The largest cryptocurrency exchanges are in China, and this year may see some dramatic deployment shifts from the multi-cloud blockchains […]

Fundamentals of Cognitive Analytics

The journey of data analytics began with simple descriptive (review of past events) and diagnostic (analysis of past events) exercises and moved to the more sophisticated predictive and prescriptive genres,where advanced data models have enabled accurate future forecasts and actionable intelligence. And now cognitive computing has further strengthened the actionable predictive power of the machines […]

Data Architecture Trends in 2020

Data Architecture is tightly entwined with Data Strategy. It is the infrastructure to realize Data Strategy goals; the blueprint for managing data. It’s a big tent: ETL, Big Data, cloud, data virtualization, DataOps, governance, analytics, and anything else related to describing, organizing, integrating, sharing, and governing data. A look at many topics and discussions going […]

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