Sat.Dec 01, 2018 - Fri.Dec 07, 2018

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Consolidation around Cognos 11.1 and other news from IBM Analytics University

David Menninger's Analyst Perspectives

IBM's Analytics University (held in both Miami and Stockholm) brought about some large changes. Big announcements this year included a consolidation of IBM's Watson Analytics into Cognos 11.1, helping provide some clarity to their analytics offerings, along with new visualizations and better data preparation. This also includes a new conversational assistant to help generate narrative explanations of displays and interactive queries.

Analytics 167
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Tools for generating deep neural networks with efficient network architectures

O'Reilly on Data

The O’Reilly Data Show Podcast: Alex Wong on building human-in-the-loop automation solutions for enterprise machine learning. In this episode of the Data Show , I spoke with Alex Wong , associate professor at the University of Waterloo, and co-founder of DarwinAI , a startup that uses AI to address foundational challenges with deep learning in the enterprise.

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Top 12 BI tools of 2019

CIO Business Intelligence

With more and more data at our fingertips, it’s getting harder to focus on the information relevant to our problems and present it in an actionable way. That’s what business intelligence is all about.

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To all Data Scientists - The one Graph Algorithm you need to know

MLWhiz

Graphs provide us with a very useful data structure. They can help us to find structure within our data. With the advent of Machine learning and big data we need to get as much information as possible about our data. Learning a little bit of graph theory can certainly help us with that. Here is a Graph Analytics for Big Data course on Coursera by UCSanDiego which I highly recommend to learn the basics of graph theory.

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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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3 business experts, 3 use cases on business-ready data

IBM Big Data Hub

Most businesses, independent of their business model, are concerned with compliance and profit. The business must comply with the law, regulations and conduct guidelines, and to be sustainable, the business must remain profitable.

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How More Companies Can Maximize the Potential of Analytics

Decision Management Solutions

“While most companies understand the importance of analytics and have adopted common best practices, fewer than 20 percent, according to a recent McKinsey Analytics survey , have maximized the potential and achieved [Advanced Analytics] at scale.”. The same survey data is used in a great piece of McKinsey analysis – Breaking away: The secrets to scaling analytics.

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Top drivers and benefits of cloud BI differ significantly by company size

BI-Survey

T he top drivers of cloud BI differ significantly by company size. Small companies are attracted to the cloud because of flexibility, cost, reduced infrastructure maintenance and scalability. For large companies, scalability is the top driver, followed by speed of implementation, cost and agility. Mid-size firms are driven by cost, flexibility, performance and security.

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Customer data mart provides single, accurate view of warranty clients

IBM Big Data Hub

Domestic & General uses an IBM-based customer data mart for a comprehensive view of each of its clients, which enables better customer experiences.

IT 70
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Interviews with Microsoft Data Community Speakers and Leaders

Paul Turley

What is the key to advancing your career in the Microsoft data platform? Here is some advice from some of the most successful people in the industry. Every year we have some big community events that bring together community leaders from all over. These are international user group and community leaders who write books and speak at conferences. we had our local Oregon SQL Saturday “SQL Train” which is a chartered train - some coaches that one of our speaker’s chartered to bring all of our speake

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What is ad hoc analysis, and why should you be careful with it?

3AG Systems

What is ad hoc analysis and ad hoc reporting? In a world where businesses live or die on data, self service BI is the information super-food we’ve been waiting for. Or so the rhetoric around this popular tool would have us believe. So what is ad hoc analysis? Exactly what the name implies — reporting prepared for a specific or immediate need. Also known as data exploration, exploratory data analysis and data discovery, this form of self service business intelligence has many names, but one big p

IT 40
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8 Steps to Transformation at Speed & Scale – Your Guide to Deploying StratOps

📌Is your Data & AI transformation struggling to really impact the business? Discover the game-changing StratOps approach that: Bridges the Gap : Connect your Data & AI strategy to your operating model, to ensure alignment at every level. Prioritizes Outcomes : Focuses on concrete business outcomes from day one, rather than capabilities in isolation.

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Q&A with Elaine Yee, VP of Sales – Americas West

Nutanix

Nutanix is thrilled to have just recently lured Elaine Yee as our brand new VP of Sales – Americas West

Sales 20
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Why is Natural Language Processing Important?

Smarten

What is Clickless Analysis and Why Should I Care? What is Clickless Analysis, and why is it important to your Advanced Analytics solution? Clickless Search Analytics provides seamless augmented analytics and advanced data discovery, using machine learning and natural language processing (NLP), in a self-serve environment that is easy enough for every business user resulting in increased user adoption, improved data democratization, and return on investment (ROI).

ROI 40