October, 2018

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How social science research can inform the design of AI systems

O'Reilly on Data

The O’Reilly Data Show Podcast: Jacob Ward on the interplay between psychology, decision-making, and AI systems. In this episode of the Data Show , I spoke with Jacob Ward , a Berggruen Fellow at Stanford University. Ward has an extensive background in journalism, mainly covering topics in science and technology, at National Geographic , Al Jazeera, Discovery Channel, BBC, Popular Science , and many other outlets.

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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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The Market of Data at Strata

David Menninger's Analyst Perspectives

In 2017 Strata + Hadoop World was changed to the Strata Data Conference. As I pointed out in my coverage of last year’s event , the focus was largely on machine learning and artificial intelligence (AI). That theme continued this year, but my impression of the event was of a community looking to get value out of data regardless of the technology being used to manage that data.

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Machine Learning And Data -- Where You'd Least Expect It

Bruno Aziza

Since the concept of “machines learning” was introduced in the 1950s, the field has gone from a cryptic domain understood by a few (Turing, Markov, Legendre, Laplace or Bayes) to a technology that every company must deploy.

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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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Prescriptive analytics: The cure for a transforming healthcare industry

IBM Big Data Hub

Prescriptive analytics offers healthcare decision makers the opportunity to influence optimal future outcomes. Based on decision optimization technology, these capabilities allow users to not just recommend the best course of action for patients or providers, they also enable comparison of multiple “what-if” scenarios to assess the impact of choosing one action over another.

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Spring Cleaning In December: Declutter Your Insights House

Srividya Sridharan

Feeling overwhelmed with all the data that your teams must wrangle before even getting to data science? Feeling like you have more than enough dashboards and tools? Feeling like you don’t have any more room in your complex data and analytics environment for yet another platform? Feeling like you can’t keep up with the exploding […].

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Seven Steps to Success for Predictive Analytics in Financial Services

Birst BI

Remember when you began your career and the prospect of retirement was an event in the distant future? How many of the poor decisions you made over the years could have made for a better retirement outcome had you had a crystal ball to see into the future? With better knowledge about the future, would your decisions have been different? For many career professionals, the reality of retirement is now significantly closer.

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Teradata and the Analytics Universe

David Menninger's Analyst Perspectives

This year, Teradata rebranded the Teradata users conference from "Partners" to "Analytics Universe", and there is a reason for it. For decades, Teradata has represented the high end of the analytic database, but new innovations and technologies are adding flexibility to Teradata's licensing as they compete. For the full breakdown of Teradata's Analytics Universe 2018, and my analysis of all the largest announcements, watch my hot take video.

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Is It Time to Jump-Start Your Data Offense?

Juice Analytics

Legendary Alabama coach Bear Bryant believed in defense: “Offense sells tickets, but defense wins championships.” Legendary boxer Jack Dempsey saw virtue in offense: "The best defense is a good offense.” Legendary analytics guru Thomas Davenport takes a more neutral stance in his Harvard Business Review article What’s your Data Strategy? "The key is to balance offense and defense.

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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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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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Tableau Conference Keeps on Getting Bigger and Better

DataRobot Blog

by Jen Underwood. Tableau’s right place, right time, right solution market momentum continues to fuel what seems to be unstoppable growth over the past five years. Hosted in New Orleans at the massive. Read More.

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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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A CEO Question: Start With Culture OR Tech?

Mark Raskino

[link]. Recently I was asked this rather smart question by the CEO of a financial services company. He knows they must embark on a digital transformation journey. Given what we have learned from the experience of others, should he lead the effort with culture change or technology change? The reflexive answer that I expect you want to give is: “both”, in parallel.

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A Rising Crescendo Demands Data Ethics and Data Responsibility

Bruno Aziza

Data ethics is not a subject that you would have expected to be a centerpiece of conversation among Chief Data Officers and senior business leaders in the recent past. However, times are changing.

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Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know

Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.

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The Chief Marketing Officer and the CDO – A Modern Fable

Peter James Thomas

This Fox has a longing for grapes: He jumps, but the bunch still escapes. So he goes away sour; And, ’tis said, to this hour. Declares that he’s no taste for grapes. — W.J.Linton (after Aesop). Note: Not all of the organisations I have worked with or for have had a C-level Executive accountable primarily for Marketing. Where they have, I have normally found the people holding these roles to be better informed about data matters than their peers.

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Is your data safe during hurricane season?

IBM Big Data Hub

Hurricane season is upon us and the US is facing its seventh hurricane this season already. No matter how severe or mild, hurricanes and other national disasters are a concern for both individuals and businesses who operate in these areas.

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Industry Pulse September 2018 Highlights

DataRobot Blog

by Jen Underwood. Long time, no news summaries…what happened? I’ll share the scoop on that soon. In the meantime, Cloudera and Hortonworks announced a merger that was really “big” news yesterday. That merger. Read More.

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The Future of Enterprise Performance Management is Dynamic Making AI Real (Part 3)

Jedox

The latest edition of our blog series “Making AI Real” lays out a vision for how new capabilities in FP&A systems can support Enterprise Performance Management of the future with much of the required functionality already available today. From Static to Dynamic EPM. New technologies in financial planning & analysis systems like machine learning and artificial intelligence offer businesses the chance to move beyond static performance management is characterized by historic, user-defined b

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Manufacturing Sustainability Surge: Your Guide to Data-Driven Energy Optimization & Decarbonization

Speaker: Kevin Kai Wong, President of Emergent Energy Solutions

In today's industrial landscape, the pursuit of sustainable energy optimization and decarbonization has become paramount. Manufacturing corporations across the U.S. are facing the urgent need to align with decarbonization goals while enhancing efficiency and productivity. Unfortunately, the lack of comprehensive energy data poses a significant challenge for manufacturing managers striving to meet their targets.

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And the 2018 EMEA Partner Summit Award Winners are…

Cloudera

What an evening! Last week Cloudera hosted over 150 attendees at our annual EMEA Partner Summit in Amsterdam with attendees from over 21 countries across the region. Representatives from across the Cloudera ecosystem came together to hear from company executives and EMEA leadership as well as interactive sessions on Machine Learning, AI and Data Analytics, Cloud and Platform as well training and certification opportunities.

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Tableau talks up natural language interface for creating visualizations

CIO Business Intelligence

How many statisticians do you need to build a new data model? Zero, according to Tableau Software: It says the next version of its widely used analytics tool will do it itself. Tableau demonstrated this, and a new feature called Ask Data that allows users to create visualizations by describing what they want in natural language, at an event for customers in New Orleans last week.

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Column chart with variance

3AG Systems

-NEW- Questions about this visual? Book an in-person call with our team now. Featured in Microsoft's August 2018 Power BI desktop update , this Power BI custom visual is designed for easily comparing time series data. It is built for reporting actual, forecast, planned, and previous year data and allows users to quickly identify when a series deviates from its baseline.

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Is your data strategy being hurt by these 3 cloud myths?

IBM Big Data Hub

Aberdeen reports that nearly 80% of businesses in their study are now using public cloud. But that still leaves over 20% of businesses that are not availing themselves of the benefits of public cloud.

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Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications

Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage

Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.

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What’s the significance of the IBM acquisition of Red Hat?

Hurwitz & Associates

First, both IBM and Red Hat are clients of our company. Now that that is out of the way, what do we think about the acquisition of Red Hat? We predict that the acquisition will have a major impact on the cloud market and a positive impact on IBM as a player in this highly combative market. Red Hat has had the ability to carve a path that many companies have tried to replicate – build a multi-billion dollar enterprise software business completely focused on offering open source technology.

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Users view Hadoop as a technology for implementing new types of use cases

BI-Survey

T he question of the most important drivers for using Hadoop shows a clear trend. Six out of ten responded: “Hadoop is a new technical platform for things we have not previously managed to do”. Three out of ten answered that Hadoop is a “technically better platform”. Only in midsize companies were these two drivers (“optimization through a technically better platform” with 40 percent and “implementation of new types of use cases” with 53 percent), relatively close together.

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Web API Data Sources with Power Query and Scheduling Data Refresh in the Power BI Service

Paul Turley

Using a Web API is a convenient way to expose and consume data over an Internet connection. Exercising some essential design patterns, understanding and working with the Power Query Formula Firewall is essential if you need to consume Web API data with Power Query and schedule data refresh with the Power BI Service.

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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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Strategic CX: A Deep Dive into Voice of the Customer Insights for Clarity

Speaker: Nicholas Zeisler, CX Strategist & Fractional CXO

The first step in a successful Customer Experience endeavor (or for that matter, any business proposition) is to find out what’s wrong. If you can’t identify it, you can’t fix it! 💡 That’s where the Voice of the Customer (VoC) comes in. Today, far too many brands do VoC simply because that’s what they think they’re supposed to do; that’s what all their competitors do.

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Column chart with relative variance

3AG Systems

-NEW- Questions about this visual? Book an in-person call with our team now. Featured in Microsoft's October 2018 Power BI desktop update , this Power BI custom visual is designed for easily comparing time series data. It is built for reporting actual, forecast, planned, and previous year data and allows users to quickly identify when a series deviates from its baseline.

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Win with AI: Insurance company Guidewell looks to get data for AI

IBM Big Data Hub

James Wade, Director of Application Hosting at Guidewell and IBM Analytics Hemanth Manda spoke with Dave Vellante in New York City on the eve of the 13 September taping of the Win with AI digital broadcast about the challenge of getting data ready for AI and how IBM Cloud Private for Data can help.

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Recent Cyber Attacks Demonstrate Why IRM is Critical for ERM Success

John Wheeler

In the last few weeks, several global shipping ports have been targeted with major cyber attacks. Ports in San Diego, California and Barcelona, Spain experienced significant business disruption as a result of ransomware. Land operations such as loading/unloading of boats as well as other related business services were halted for days while the technology groups worked to remedy the situation.

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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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Entity Resolution Checklist: What to Consider When Evaluating Options

Are you trying to decide which entity resolution capabilities you need? It can be confusing to determine which features are most important for your project. And sometimes key features are overlooked. Get the Entity Resolution Evaluation Checklist to make sure you’ve thought of everything to make your project a success! The list was created by Senzing’s team of leading entity resolution experts, based on their real-world experience.