Thu.Mar 31, 2022

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Data Fabric Approach for Effective Data Management

Data Virtualization

Reading Time: 4 minutes A discussion on All Things Data with Katrina Briedis, Senior Product Marketing Manager (APAC) at Denodo, with a special focus on Data Fabric Approach for Effective Data Management. Listen to “Is Data Fabric the Ideal Approach for Effective Data Management?” The post Data Fabric Approach for Effective Data Management appeared first on Data Virtualization blog - Data Integration and Modern Data Management Articles, Analysis and Information.

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Common A/B Testing Questions Asked During Interviews

Analytics Vidhya

Source: Unsplash Introduction Applying for jobs and preparing for multiple rounds of interviews with multiple companies can be more stressful than the existing job for many. The anticipation of what might be asked and how it might be asked can give sleepless nights. Today, I am going to try covering a tiny topic from the […]. The post Common A/B Testing Questions Asked During Interviews appeared first on Analytics Vidhya.

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A Guide To Starting A Career In Business Intelligence & The BI Skills You Need

datapine

Table of Contents. 1) Why Shift To A BI Career? 2) Top 10 Necessary BI Skills. 3) What Are the First Steps To Getting Started? 4) Business Intelligence Job Roles. 5) Main Challenges Of A BI Career. 6) Main Players In The BI Industry. Does data excite, inspire, or even amaze you? Does the idea of discovering patterns in large volumes of information make you want to roll up your sleeves and get to work?

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An Analysis on COVID-19 in India

Analytics Vidhya

Introduction We are going to do an analysis of the covid-19 data available with us for the first and second waves in India to understand the different stages of the coronavirus pandemic during that period. What is Covid-19? Coronavirus disease (COVID-19) is an infectious disease caused by the SARS-CoV-2 virus. Its origin was Wuhan City, […]. The post An Analysis on COVID-19 in India appeared first on Analytics Vidhya.

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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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Don’t Rely on Dashboards for Real-Time Analytics

David Menninger's Analyst Perspectives

I have written previously that the world of data and analytics will become more and more centered around real-time, streaming data. Data is created constantly and increasingly is being collected simultaneously. Technology advances now enable organizations to process and analyze information as it is being collected to respond in real time to opportunities and threats.

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Machine Learning Pipeline Optimization with TPOT

KDnuggets

Let's revisit the automated machine learning project TPOT, and get back up to speed on using open source AutoML tools on our way to building a fully-automated prediction pipeline.

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Connect With the Data Science Community at Rev 3 in NYC, the #1 MLOps Conference

KDnuggets

The most ambitious Enterprise MLOps conference is coming to New York City on May 5-6, bringing the data science community together in-person for a one-of-a-kind event. This year, you’ll hear from 30+ speakers across dozens of industries. Save 50% with the promo code KDN. Register now!

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10 reasons to keep that data center running

CIO Business Intelligence

The cloud with all of its ease and convenience is slowly eclipsing the racks and racks of machines that defined it. There are many practical reasons driving this movement away from the data center as a hallmark of information technology. Cloud service providers continue to roll out amazing products and time-saving services that make it simple to stand up amazing code.

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A Bug That Can Make You a Data Science Hero

KDnuggets

What if I tell you that there is a bug that can take you on a ride in the world of data science. Yes, if you have the bug of curiosity, consider yourself the best fit for the data science profession.

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Women of Teradata: Molly Treese

Teradata

In honor of Women's History Month, we are spotlighting Molly Treese, Teradata's Chief Legal Officer, as she looks back at her career in law & recounts the importance of inclusion in the workplace.

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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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Loss Functions: An Explainer

KDnuggets

A loss function measures how wrong the model is in terms of its ability to estimate the relationship between x and y. Find out about several common loss functions here.

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Egypt to bolster IT offshoring for analytics, AI, app development

CIO Business Intelligence

In the latest stage of its mega-project to diversify the country’s economy by investing in the tech sector, the Egyptian government is refocusing on its once-thriving offshoring industry, looking in particular to fields including business-process optimisation, AI, and analytics. This has great revenue potential for the country, with analyst firm IDC predicting the global offshoring market will reach US$540 billion in value by 2026, up from US$310 billion in 2019.

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Introductory Pandas Tutorial

KDnuggets

A gentle introduction to data analysis with Pandas.

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The Top 5 Requirements Clients have for their B2B Suppliers

Decision Management Solutions

McKinsey recently published a great piece aimed at B2B companies called The new B2B growth equation. This focused on how B2B Customers want an “ always-on, personalized, omnichannel experience ”. These customers want more from their B2B sellers — “ more channels, more convenience, and a more personalized experience “ It’s not that they don’t still want traditional interactions or that they just want remote human interactions – they want these and digital self-service in equal measure.

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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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Who Is Responsible for Data Quality Within an Enterprise?

Dataiku

Poor data quality is troublesome for a myriad of reasons, from analyst productivity lost, to bad reporting and decision making, to potential negative impacts on revenue. It is indeed true that data has a credibility problem and 50 years after “garbage in, garbage out” was coined, organizations still massively struggle with data quality.

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Creating a Generic SSRS Report

Tim Mitchell

Creating useful reports is part art and part science. On one end of the spectrum, you have visually appealing and highly customized reports and dashboards that are truly works of art. These often illicit “oohs” and “aahs” at first glance, and can help to creatively tell the story of the underlying data. On the other end of the spectrum is.

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Continuous AI Adapts to a Changing World

DataRobot Blog

Over the past several years, AI has gone from obscurity to headline news but not always for the right reasons. While AI systems have matured from science experiments to vital business-as-usual tools, not every AI project lives up to the hype. “Despite the promise of AI, many organizations’ efforts fall short…only 8% of firms engage in core practices that support widespread adoption,” says McKinsey.

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The Usability of Dashboards (Part 1): Does Anyone Actually Use These Things?

Jet Global

This post was written by Tristan Kromer, Innovation Coach & Founder at Kromatic , and Anteo Quiroz, Innovation Coach and Head of Sales at Kromatic. Dashboards showing ever-increasing levels of information are more and more in demand, but perhaps less and less understood. In particular, application teams selling products are pushed by their customers to include “high-level overviews” and “real-time information” in their software.

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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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Achieve Smarter PC Health Across Your Fleet of User Devices

CIO Business Intelligence

Computer and laptop failures can be productivity killers as workers wait for their IT department to fix problems. These issues can also increase costs for IT to remotely diagnose and remediate problems across today’s widely distributed workforce. Watch this video to discover how device intelligence helps organizations rapidly assess, predict and prevent issues at scale—securely, no matter where users are located.

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The Value of Tally ERP Web-Based Accounting Analytics!

Smarten

Web Access to Accounting Analytics Reporting is Crucial to Business Success ! The Accounting Research Center and Continuous Auditing & Reporting Lab at Rutgers University stated that, “The audit profession is leveraging technology and electronic information to expand the auditor’s ability to access and analyze vast amounts of information.”.

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Self-Service BI: A Case of Trust Working Both Ways?

Alation

In the breakneck world of data, which I have been privy to since the mid 1990s, business intelligence remains one of the most enduring terms. So I was surprised to learn from my colleague Myles Suer’s blog piece about Self-Service vs. Traditional BI that it was first referenced in 1865. The writer Richard Millar Devens used “business intelligence” to describe how a banker had the foresight to gather and act on information thus getting the jump on his competition.

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What is a chief data officer? A leader who creates business value from data

CIO Business Intelligence

The chief data officer (CDO) is a senior executive responsible for the utilization and governance of data across the organization. While the chief data officer title is often shortened to CDO, the role should not be confused with that of the chief digital officer , which is also frequently referred to as CDO. “The chief data officer is the senior person, with a business focus, who understands the strategy and direction of the business, but their focus is on how to underpin that with data,” says

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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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Accountants Are Using Machine Learning to Boost Efficiency

Smart Data Collective

Machine learning technology is changing many sectors in tremendous ways. The accounting sector is no exception. Analysts from Markets and Markets project that the market for AI in the accounting industry will exceed $4.7 billion within the next two years. A lot of accountants are discovering innovative ways to take advantage of the benefits of machine learning.

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Incorporating Artificial Intelligence for Businesses : The Modern Approach to Data Analytics

BizAcuity

There have been so many articles published about AI and its applications, you can find millions of articles from broad concepts to deep technical literature on the internet. You must be tired of continuously hearing quotes like, ‘data is the new oil’ and what not. This article (like thousands of other articles), is aimed at presenting consolidated information about AI for business in simple language.

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Overcoming the roadblocks to successful infrastructure modernisation

CIO Business Intelligence

Every CIO is acutely aware that their IT infrastructure now underpins the success of the business. Scalable, integrated compute, network, and data platforms are the prerequisites to delivering exceptional experiences for customers and staff. The challenge now? For IT to design a modern, cloud-first infrastructure that is integrated, secure and software-driven, all while ‘keeping the lights on’ for the company’s existing business processes.

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The value of a second: How mainframes save uptime, security, and gobs of money

CIO Business Intelligence

By Jeff Henry, head of product strategy – Mainframe, Broadcom Software. Time is precious. Think about the importance of a single second in sports. In F1 racing, the average pit stop is just two to three seconds. The driver and crew know that getting the car in and out that quickly is what it takes to beat the competition to the checkered flag. How many basketball games or other sports competitions come down to a critical moment that makes all the difference?

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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.