Wed.Jun 12, 2019

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An Introduction to the Powerful Bayes’ Theorem for Data Science Professionals

Analytics Vidhya

Overview Bayes’ Theorem is one of the most powerful concepts in statistics – a must-know for data science professionals Get acquainted with Bayes’ Theorem, The post An Introduction to the Powerful Bayes’ Theorem for Data Science Professionals appeared first on Analytics Vidhya.

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Data Management on Display at Informatica World 2019

David Menninger's Analyst Perspectives

This year, I attended Informatica World 2019, Informatica's annual user conference. The main focus this year was on the cloud with a heavy does of AI. Under that focus, Informatica's conference emphasized capabilities across six areas (all strong areas for Informatica): data integration, data management, data quality & governance, Master Data Management (MDM), data cataloging, and data security.

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What is Future Enterprise Systems Africa All About?

Corinium

Welcome to Future Enterprise Systems Africa (FESA 2019) , our new conference born out of the DigiCon series of events. The slight shift in focus is to hone in on the practical steps of digital transformation the nuts and bolts of what the next generation business requires in order to survive. Two key areas were identified – the architecture teams and the innovation teams.

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The Insights Beat: Save Your Data Strategy From A Nosedive

Srividya Sridharan

(Jeremy Vale and Paolo Santamaria contributed to this post.) This month’s Insights Beat focuses on the latest research in our insights-driven playbook; showcases multiple data, analytics, and machine-learning vendor evaluations; and shines a light on B2B analytics techniques. Is Your Data Strategy Lacking? Time To Sound The Alarm In order to compete in the age of […].

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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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Four Challenges Facing Cloud Security

Corinium

Companies across the continent are rapidly adopting cloud services to improve efficiency, scalability and access. However, this rapid adoption of cloud services is seeing an exponential rise in attacks and vulnerabilities. One of the core functions of CISO Cape Town is for IT security experts to gather and share new strategies to defend against the online realm, strategies that may incorporate traditional applications, and in other cases tackle challenges differently.

Strategy 150
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4 Brilliant Ways To Use Big Data To Boost Gmail Security

Smart Data Collective

Google is taking privacy more seriously these days. Last year, the Washington Post reported that they adopted some new big data security standards. Some of these standards were put into place to improve Gmail security. However, there are still a lot of measures that Gmail users themselves need to take. Big data is making it easier to keep your Gmail secure , but only if you take the right precautions.

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Tips For Writing Linux Device Drivers For Big Data Environments

Smart Data Collective

Linux programming is a vital skill for data developers. If you are creating applications for big data, you should familiarize yourself with the process of creating Linux device drivers. Here is the process of developing a Linux driver for your big data applications. Basic Linux Driver Development Overview. Are you interested in Linux driver development ?

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Data for All: Empowering Users With AI, ML, and Analytics

Sisense

At Sisense, our mission is to empower users of all kinds with deep insights from even the most complex data. This requires a focus on many different areas of analytics including our ability to work with large, complex, disparate data; our ability to provide an easy to use interface for both working with data and building analytics; and our ability to go beyond dashboards with capabilities such as IoT integration and powerful APIs to support application developers.

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5 Tips from GE Aviation for Starting a Self-Service Data Initiative

Dataiku

GE Aviation went from data silos to self-service data in just a few years, and now they have more than 1,800 users empowered to use data in their day-to-day work. Here are their top five tips for setting up a self-service data initiative.

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Deep Data Makes Digital Catalogues Viable Organizational Tools

Smart Data Collective

Shrewd business owners are using big data to grow organizations in countless ways. Some of the benefits of big data are overlooked by less tech-savvy entrepreneurs. One of the biggest benefits of big data is that it leads to the development of digital business catalogues. Big Data and the Evolution of Digital Business Catalogues. There are many big data applications used to grow your business.

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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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Sirius Ranks 22 on CRN’s Flagship List of the Largest Solution Providers in North America

CDW Research Hub

CRN ®, a brand of The Channel Company , named Sirius to its 2019 Solution Provider 500 list. The list serves as CRN’s annual ranking of the largest technology integrators, solution providers and IT consultants in North America by revenue. Sirius placed 22 out of 500 organizations, representing a rise over last year’s 24th spot. Click here for more details.

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Why Data Virtualization is the Best Accessory for the Smoothest Data-Driven Journey

Data Virtualization

We have a certain level of expectation when it comes to driving; we expect the ride to be smooth and comfortable, with the car gliding over road surface irregularities with ease. This is owing to the active suspensions, which controls.

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How to Automate the Data Mapping Process

Octopai

Data mapping can bring many benefits to any enterprise – and automation will take this process to a whole new level. Read on to see how and why. Data Mapping: A Review. First, let’s talk about what data mapping is, why you need to do it in the first place, and why you really need to automate it. Data mapping is the process of relating fields in one data object (database, flat file, spreadsheet file, or other object containing data) to those in another data object.

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Smart products have their price

CONTACT Software

IoT failures were the subject of my previous blog post , and what particularly surprised was a “Smoke detector with integrated microphone that allows monitoring in living rooms” that a well-known manufacturer launched on the market. The question of whether this is really a design flaw or whether we don’t have to put up with it for the comfort of smart products resulted in really interesting, sometimes controversial discussions.

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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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Xi Cloud Recap from.NEXT 2019

Nutanix

Through Xi Cloud Services, we make it easier for our customers to integrate cloud services into their multi-cloud deployments, whether by natively extending their Nutanix environment beyond the boundaries of a traditional datacenter or by gaining the visibility and insight into their infrastructure deployments across platforms to monitor costs and ensure compliance.

IT 20
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A History of Machine Learning by Political Machines

DataRobot

I had the privilege of witnessing the growth in the use of analytics by the Democratic Party in the ‘90s and 2000s.