July, 2017

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4 Types of Data Analytics to Improve Decision-Making

ScienceSoft

Learn about different types of data analytics and find out which one suits your business needs best: descriptive, diagnostic, predictive or prescriptive.

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My 10-step path to becoming a remote data scientist with Automattic

Data Science and Beyond

About two years ago, I read the book The Year without Pants , which describes the author’s experience leading a team at Automattic (the company behind WordPress.com, among other products). Automattic is a fully-distributed company, which means that all of its employees work remotely (hence pants are optional). While the book discusses some of the challenges of working remotely, the author’s general experience was very positive.

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Predictive Analysis is Easy for Every User

Smarten

Plug Your Users In For Crucial Decisions with Plug n’ Play Predictive Analytics! What did we do about planning and forecasting in the past? Well, a lot of what we did was based on guesswork. We might look at historical data and plan for growth that was unrealistic because it did not reflect the competitive market growth or the advent of online competition.

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Office 365 and Digital Transformation: What CIOs Need to Know

Bruno Aziza

Office 365 is a transformational force acting on IT strategy and business networks. To embrace Office 365 for its full potential, CIOs need to set a strategic course forward that does away with entrenched thinking and embraces cloud-first principles.

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The Path to Product Excellence: Avoiding Common Pitfalls and Enhancing Communication

Speaker: David Bard, Principal at VP Product Coaching

In the fast-paced world of digital innovation, success is often accompanied by a multitude of challenges - like the pitfalls lurking at every turn, threatening to derail the most promising projects. But fret not, this webinar is your key to effective product development! Join us for an enlightening session to empower you to lead your team to greater heights.

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Deploy Applications with Simplicity and Performance using IBM Hyperconverged Systems Powered by Nutanix

Nutanix

As a follow-on to our multi-year partnership announcement on May 16, IBM has released details on their new Hyperconverged Systems powered by Nutanix Enterprise Cloud Platform software.

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Fitting Bayesian structural time series with the bsts R package

The Unofficial Google Data Science Blog

by STEVEN L. SCOTT Time series data are everywhere, but time series modeling is a fairly specialized area within statistics and data science. This post describes the bsts software package, which makes it easy to fit some fairly sophisticated time series models with just a few lines of R code. Introduction Time series data appear in a surprising number of applications, ranging from business, to the physical and social sciences, to health, medicine, and engineering.

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Just Buying Into Modern BI and Analytics? Get Ready for Augmented Analytics, the Next Wave of Market Disruption

Rita Sallam

Machine learning automation is affecting all of enterprise software, but will completely transform how we build, analyze, and consume data and analytics. Over the past 10 years or more, visual-based data discovery tools (e.g. Tableau, Qlik, Tibco Spotfire) have disrupted the traditional BI market (e.g. IBM Cognos, SAP BusinessObjects). Yet, as transformative as these tools have been, analytics is once again at a critical inflection point.

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Data Discovery Tools Are Crucial Tools for Business Users

Smarten

Advanced Analytics Software and Smart Visualization Empowers Business Users. Advanced Analytics Software, Data Discovery Tools and Smart Visualization can improve your planning and forecasting process, and empower your organization. The Smarten Business Intelligence environment provides advanced analytics tools that are simple enough for business users and sophisticated enough to mash-up and manage data for optimal analysis, and flexible reporting.

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How New IT Models Are Changing The IT Skills Landscape And Internal IT

Bruno Aziza

At the center of these IT transformations lie converged infrastructure (CI), hyper-converged infrastructure (HCI) and “software-defined” environments to help achieve digital business goals of faster time to market and improved customer engagement.

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NEXT 2017 D.C.: All the News Fit to Print

Nutanix

One of my favorite phrases from.NEXT 2017 came from SAP’s CEO Bill McDermott, who sat down with our own Dheeraj Pandey and the 3850+ attendees of annual Nutanix user conference and shared, “there is no room for small dreams.

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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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The Value is in the Data (Wrangling)

Darkhorse

TL;DR: Gather data from inside and outside the firewall Understand (and document) your sources and their limitations Clean up the duplicates, blanks, and other simple errors Join all your data into a single table Create new data by calculating new fields and recategorizing Visualize the data to remove outliers and illogical results Share your findings continuously If you aspire to be a data scientist, you’re really aspiring to be a data wrangler.

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How BI can help create a unique customer experience

ScienceSoft

Striving to deliver a unique customer experience, companies should not overlook the benefits that customer intelligence can bring.

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Create High-Impact Data Visualizations: Nine Effective Strategies

Occam's Razor

I believe deeply in the value of making data accessible. In service of that belief, there are few things that bring me as much joy as visualizing data (smart segmentation comes close). There is something magical about taking the tons and tons of complexity that lurks in our data, being able to find the core essence, and then illustrate that simply. The result then is both a mind and heart connection that drives action with a sense of urgency.

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Quality is Important! Agility is Necessity!

Smarten

Agility and Quality: A Vital Balancing Act! This might be a strange comparison but let me make it anyway! Think of data agility and data quality like a tight rope act. The tightrope walker is thinking about getting to the other side without falling. The audience wants to see grace and beauty during the process. They want to see a QUALITY act. In the case of the tightrope walker and the audience, they sometimes have very different goals.

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How to Build an Experimentation Culture for Data-Driven Product Development

Speaker: Margaret-Ann Seger, Head of Product, Statsig

Experimentation is often seen as an aspirational practice, especially at smaller, fast-moving companies who are strapped for time and resources. So, how can you get your team making decisions in a more data-driven way while continuing to remain lean and maintaining ship velocity? In this webinar, Margaret-Ann Seger, Head of Product at Statsig, will teach you how to build an experimentation culture from the ground-up, graduating from just getting started with data-driven development to operating

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Interesting Times: Business Change In An Era Of Tech Disruption

Bruno Aziza

From AI to machine learning, transformational technology is changing the landscape of how companies conduct business.

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Predictive Analysis for Rasiklal!

Smarten

The simplest, easiest and spreadsheetble (I just invented this word) information which can be used for predictive and forecasting is defined data over a period. For example, date or time driven patterns which keep repeating till the cows come home. We will not discuss this here and hope you are relieved of some scepticism about this article at this stage.

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Clickless Analytics, ??? ??? ????? ?? {Part 1 of ?}

Smarten

I am going to be blatantly trumpeting of our products, its road map and its usage in this article, and you are likely to get more value out of this than a book on analytics. My guess is that you will read ahead since you are a sceptic. Let us address what you may be thinking based on the title of this article. It is about bots, AI, machine learning or voice based search.

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Do Citizen Data Scientists Mark the Death of Data Scientists?

Smarten

To be successful in business, every organization must find a way to accurately forecast and predict the future of its market, and its internal operations, and better understand the buying behavior of its customers and prospects. With the democratization of business intelligence and the advent of self-serve business intelligence tools, organizations hope to encourage and create Citizen Data Scientists and enable the average business user to leverage sophisticated predictive algorithms and BI tool

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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.

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Citizen Data Scientists? Yay or Nay?

Smarten

It seems that everyone today is talking about Citizen Data Scientists. For some organizations the concept is perhaps frightening. The term may conjure up images of novices trying to do the work of someone with years of training and failing miserably in the process. For others, the image may be of an organization run amuck with business users leveraging sophisticated advanced analytics tools to create and share data that may be misinterpreted or distributed improperly.