Thu.Jun 27, 2019

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Take Advantage Of Modern CEO Dashboards – Examples And Templates

datapine

“The only safe ship in a storm is leadership.” – Faye Wattleton. For any business to succeed, it needs purpose, direction, and the resources to grow as well as adapt to the landscape surrounding it – which is why strong leadership is essential. As a CEO, you’re responsible for overseeing every aspect of your business, from the people and the internal culture all the way through to key sales, marketing, and financial strategies.

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How IBM is advancing Watson Anywhere with new DataOps and discovery capabilities

IBM Big Data Hub

While data is an enterprise’s most valuable resource when it comes to gaining competitive advantage and improving business performance, time is a critical component. Businesses run 24x7, tasking our data citizens to maximize actionable insights that will drive the actions of tomorrow.

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Sirius Captures No. 1 in MSP 501 Ranking of the Top Managed Service Providers in the World

CDW Research Hub

Sirius recognized for its strategic business decisions, dedication to client support, and intuitive knowledge of the managed services market. San Antonio, TX – 27 June, 2019 — Sirius Computer Solutions, Inc. (Sirius), a leading national IT solutions integrator, ranked first in what is widely viewed as the most comprehensive global survey of managed services providers (MSPs), Channel Futures /Channel Partners’ 2019 MSP 501.

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3 Great Additions for your Jupyter Notebooks

MLWhiz

I love Jupyter notebooks and the power they provide. They can be used to present findings as well as share code in the most effective manner which was not easy with the previous IDEs. Yet there is something still amiss. There are a few functionalities I aspire in my text editor which don’t come by default in Jupyter. But fret not. Just like everything in Python, Jupyter too has third-party extensions.

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Get Better Network Graphs & Save Analysts Time

Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.

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IBM Watson OpenScale wins 451 Firestarter Award for making AI outcomes fair and explainable

IBM Big Data Hub

Learn why 451 Firestarter awarded IBM OpenScale for improving AI outcomes.

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GraphDB: MongoDB Document Store Integration for Large-scale Metadata Management

Ontotext

One of the latest new features of GraphDB is the MongoDB document store integration. This is a really exciting feature as it increases the write scalability of RDF solutions when dealing with document-centric data. It allows us to store some of our data outside of GraphDB, but still query it from GraphDB’s SPARQL editor. What are the benefits of such integration?

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GraphDB: MongoDB Document Store Integration for Large-scale Metadata Management

Ontotext

Ontotext’s GraphDB is an enterprise-ready semantic graph database (also called RDF triplestore as it stores data in RDF triples). It provides the core infrastructure for solutions where modeling agility, data integration, relationship exploration, cross-enterprise data publishing and consumption are critical. GraphDB is fully compliant with W3C’s standards and can perform logical inference at scale allowing users to derive new facts and relationships.

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One simple chart: Who is interested in Spark NLP?

O'Reilly on Data

As we close in on its two-year anniversary, Spark NLP is proving itself a viable option for enterprise use. In July 2016, I broached the idea for an NLP library aimed at Apache Spark users to my friend David Talby. A little over a year later, Talby and his collaborators announced the release of Spark NLP. They described the motivation behind the project in their announcement post and in this accompanying podcast that Talby and I wrote, as well as in this recent post comparing popular open source

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How to beat “fake news”

DMBS2

Most observers hold several or all of the views: “Fake news” and the like are severe problems. Algorithmic solutions have not worked well to date. Neither have manual ones. Trusting governments to censor is a bad idea. In light of the previous points, trusting large social media corporations to censor is a bad idea too. Educating consumers to evaluate news and opinions accurately would be … difficult.

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Measure Twice, Cut Once: How the Right Data Modeling Tool Drives Business Value

erwin

The need for an effective data modeling tool is more significant than ever. For decades, data modeling has provided the optimal way to design and deploy new relational databases with high-quality data sources and support application development. But it provides even greater value for modern enterprises where critical data exists in both structured and unstructured formats and lives both on premise and in the cloud.

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Understanding User Needs and Satisfying Them

Speaker: Scott Sehlhorst

We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.

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Political issues around big tech companies

DMBS2

The technology industry has an increasingly complex relationship to government and politics, most importantly in three areas: Privacy and surveillance. Censorship. Antitrust, general economic regulation, and other competition management. Here’s some of what I think about that, plus links to a lot more. 1. For a long time, I’ve maintained: Privacy and surveillance are very big deals.