Sat.Oct 13, 2018 - Fri.Oct 19, 2018

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Blockchain applications in the Federal Government sector

Rocket-Powered Data Science

My current position is Principal Data Scientist and Executive Advisor at global technology consulting firm Booz Allen Hamilton. In this role, I am frequently asked many questions about the work we are doing, specifically with the U.S. federal government. I always defer those types of questions to open source materials, including articles, press releases, and content published on my company’s website.

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4 imperatives for making business intelligence work

O'Reilly on Data

Create a coherent BI strategy that aligns data collection and analytics with the general business strategy. Results-based leaders rely on having the right information at the right time in order to support operational decision-making. That’s why decision-makers consider business intelligence their top technology priority. They recognize the instrumental role data plays in creating value and see information as the lifeblood of the organization.

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Why data science at banks is missing the mark, and how to fix it

IBM Big Data Hub

The business that gets there first won’t necessarily win digital and AI game. It will be the one that ingrains digital and AI in its business as much as possible. Starting from applying intelligent data science where it matters most and progressively using it in every aspect of the business.

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Workplace safety and data analytics

3AG Systems

We all want to get home safely, right? For some of us, the worst risk we face at the office is a sore neck from bad posture. But for many others, the risk of serious personal injury on the job site is very real. One of the best approaches to safety management begins from the ground up, through a safety-driven culture that focuses on getting every employee to be aware of their surroundings and actions.

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15 Modern Use Cases for Enterprise Business Intelligence

Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

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Data integration is equally important across all company sizes

BI-Survey

I t is interesting to see that data integration between on-premises and cloud applications is ranked an equally important use case across all company sizes while data integration between cloud applications becomes more important the smaller the company is. Primary use cases for cloud data management by company size (n=165). Using the cloud for processing calculations and data mining models is especially important for mid-sized companies.

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Self-Service Data Prep Empowers Business Users!

Smarten

What is Self-Service Data Preparation? Self-serve data preparation allows business users with average technical skills to gather and prepare data for analysis without the help of an IT professional or a data scientist. So, why is that important? Data prep is often the forgotten step in advanced analytics but, without a self-service data preparation tool, the process can take a long time and it can result in incomplete data, data that is hard to analyze and, sometimes, a total work stoppage while

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BI strategy beyond Excel (video)

3AG Systems

In this video, Matthew from 3AG Systems expands on the themes discussed in our earlier blog post, BI strategy beyond Excel.

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5 Architectural Principles to Consider Before Choosing Your Infrastructure

Nutanix

When it comes to application and desktop virtualization projects, choosing the right infrastructure for your business is among the most important decisions you’ll need to make.

IT 20
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The 7 Essential Steps for IT Transformation

Nutanix

IT strategy has shifted to prepare for and kickstart digital transformation as a business-critical initiative—but there’s still a datacenter to run.

IT 20