Sat.May 04, 2019 - Fri.May 10, 2019

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Introduction To The Basic Business Intelligence Concepts

datapine

“Without big data, you are blind and deaf and in the middle of a freeway.” – Geoffrey Moore, management consultant, and author. In a world dominated by data, it’s more important than ever for businesses to understand how to extract every drop of value from the raft of digital insights available at their fingertips. According to Better Buys, 85% of business leaders feel that using big data to their advantage will significantly improve the way they run their companies – and they’re not wrong.

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Algorithms and Regulations: Tips for Success

Decision Management Solutions

Cathy O’Neill wrote an interesting piece on regulating automated decision making recently. I am not going to argue about whether use of algorithms should or should not be regulated because I think it is inevitable that they will be. The question is how companies should respond to these regulatory efforts as they are rolled out to ever more consumer-facing decisions.

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Real Talk with A Data Scientist: The Future of Data Wrangling

Data Science 101

Sponsored Post by T.J. DeGroat of Springboard. At Springboard , we recently sat down with Michael Beaumier, a data scientist at Google, to discuss his transition into the field, what the interview process is like, the future of data wrangling, and the advice he has for aspiring data professionals. The full video Q&A is below, but here are some of the highlights.

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Data Literacy in the Era of Algorithms

DataRobot Blog

by Jen Underwood. Artificial intelligence (AI) and machine learning can deliver unprecedented value to the business. Unfortunately, fantastic findings often get lost in translation. From expressing metrics in unfamiliar terminology to presenting odd. Read More.

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Optimizing The Modern Developer Experience with Coder

Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.

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A Practical Introduction to Prescriptive Analytics (with Case Study in R)

Analytics Vidhya

This article was submitted as part of Analytics Vidhya’s Internship Challenge. Introduction “What are the different branches of analytics?” Most of us, when we’re. The post A Practical Introduction to Prescriptive Analytics (with Case Study in R) appeared first on Analytics Vidhya.

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Real-time entity resolution made accessible

O'Reilly on Data

The O’Reilly Data Show Podcast: Jeff Jonas on the evolution of entity resolution technologies. In this episode of the Data Show , I spoke with Jeff Jonas , CEO, founder and chief scientist of Senzing , a startup focused on making real-time entity resolution technologies broadly accessible. He was previously a fellow and chief scientist of context computing at IBM.

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Interview with Pat Dever

Corinium

Avista’s Chief Data Strategist Patrick Dever says that to empower other business units, CDOs have to convince stakeholders, and make data more accessible.

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A Guide to Understanding Convolutional Neural Networks (CNNs) using Visualization

Analytics Vidhya

Introduction “How did your neural network produce this result?” This question has sent many data scientists into a tizzy. It’s easy to explain how. The post A Guide to Understanding Convolutional Neural Networks (CNNs) using Visualization appeared first on Analytics Vidhya.

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6 Ways AI is Transforming Marketing Forever

Smart Data Collective

If you’re a marketer or business owner in today’s competitive marketplace, you’ve probably tried just about everything you can think of to maximize your success. You’ve dabbled in digital marketing, visited trade shows, paid for print advertising, and incentivized customer testimonials. It’s probably resulted in lots of stress, sleepless nights, and CBD oil drops to give you the energy and focus to keep going.

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5 Types of AI to Propel Your Business

ScienceSoft

Explore five different types of artificial intelligence (AI) – analytic, interactive, text, visual and functional – and get inspired by real-life business examples of AI in action.

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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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Artificial Intelligence vs Automation

Corinium

AI is often confused with automation, yet the two are fundamentally different. Dr Mark Nasila, FNB’s Chief Analytics Officer for Consumer Banking, explains the key difference is that AI mimics human intelligence decisions and actions, while automation focuses on streamlining repetitive, instructive tasks.

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Extracting and Analyzing 1000 Basketball Games using Pandas and Chartify

Analytics Vidhya

Introduction I love descriptive statistics. Visualizing data and analyzing trends is one of the most exciting aspects of any data science project. But what. The post Extracting and Analyzing 1000 Basketball Games using Pandas and Chartify appeared first on Analytics Vidhya.

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How To Solve The Data Management Challenge Of Self-Driving Cars

Smart Data Collective

Self-driving cars and trucks once seemed like a staple of science fiction which could never morph into a reality here in the real world. Nevertheless, the past few years have given rise to a number of impressive innovations in the field of autonomous vehicles that have turned self-driving cars from a funny idea into a marketing gimmick and finally into a full-fledged reality of the modern roadway.

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Themes and Conferences per Pacoid, Episode 9

Domino Data Lab

Paco Nathan’s latest article features several emerging threads adjacent to model interpretability. Introduction. Welcome back to our monthly burst of themes and conferences. Several technology conferences all occurred within four fun-filled weeks: Strata SF , Google Next , CMU Summit on US-China Innovation, AI NY , and Strata UK , plus some other events.

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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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How fast-growing digital natives can innovate and scale

Corinium

Companies that have already adopted digital technology face a unique set of opportunities and challenges. Often born digital, they tend to be comfortable viewing their support software as a platform that can be extended using apps, APIs, and integrations - an advantage, considering the extremely high ticket volumes they handle, and their customers’ expectations of an effortless support experience.

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McDonald's Turns to AI for a Better Burger

Dataiku

While Burger King may still be poking fun at AI following their robot commercials last year, other burger titans embrace AI as the next step in their evolution. This year, Wendy’s announced that it’s adding $25 million to its digital budget, while McDonald's took things to the next level when they purchased a marketing AI startup for over $300 million, their largest acquisition this century.

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Local Marketers Discover Perks Of Merging Big Data And Google Reviews

Smart Data Collective

We have published a number of glowing articles on the benefits of big data in the world of marketing. However, many of these tutorials focus on the general benefits of big data, rather than specific, data-driven marketing strategies. One of the ways that big data is transforming local marketing is by optimizing Google Reviews. We were pleased to hear from Michael Del Gigante, the CEO of MDG Advertising.

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How to Understand a DataRobot Model [eBook]

DataRobot

As more and more companies rely on AI , people are questioning whether or not AI can be trusted. Business reputations are damaged when inscrutable black box AI systems make mistakes or make biased decisions. To avoid these issues, organizations are seeking out ways to apply best practices of AI governance to ensure that AIs are following business rules and making sensible and trustworthy decisions.

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Marketing Operations in 2025: A New Framework for Success

Speaker: Mike Rizzo, Founder & CEO, MarketingOps.com and Darrell Alfonso, Director of Marketing Strategy and Operations, Indeed.com

Though rarely in the spotlight, marketing operations are the backbone of the efficiency, scalability, and alignment that define top-performing marketing teams. In this exclusive webinar led by industry visionaries Mike Rizzo and Darrell Alfonso, we’re giving marketing operations the recognition they deserve! We will dive into the 7 P Model —a powerful framework designed to assess and optimize your marketing operations function.

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The Insights Beat: Spring Into Action With Your Insights

Srividya Sridharan

(Aldila Yunus and Jeremy Vale contributed to this blog post.) It’s official: spring has sprung. The barren trees show signs of vitality and fresh blossoms fill the air with their entrancing aromas once more. Dynamic shifts in our environs abound. Finally we can shake off the winter blues and welcome the optimism that comes with […].

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How Will Machine Learning and AI Change My Organization?

Dataiku

Whether businesses have a specific aversion to change or they simply find change too difficult to manage, the bottom line is that it holds companies back. Yet in the age of machine learning and AI, change is the new normal that the average enterprise will have to embrace. Here are the top ways that new technologies will impact your organization (whether you plan for it or not).

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These Bitcoin Platforms Are Using Big Data To Redefine Cryptotrading

Smart Data Collective

Big data is having a huge effect on the future of cryptocurrency markets around the world. A growing number of companies are leveraging big data to streamline cryptotrading and improve security and customer satisfaction. Big Data Made Simple wrote a very helpful post about the benefits of using big data to facilitate the cryptocurrency trading market.

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8 Places to Visit in Denver While Attending Teradata Universe 2019

Teradata

Heading to Teradata Universe 2019? Camille Schmidt lists the "8 Places to Visit in Denver" while attending the flagship conference.

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The Cloud Development Environment Adoption Report

Cloud Development Environments (CDEs) are changing how software teams work by moving development to the cloud. Our Cloud Development Environment Adoption Report gathers insights from 223 developers and business leaders, uncovering key trends in CDE adoption. With 66% of large organizations already using CDEs, these platforms are quickly becoming essential to modern development practices.

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Top 10 Power BI Blogs of 2019

Jet Global

Since its initial release in 2016, Power BI has quickly become the talk of the town in business intelligence and analytics circles, and rightly so! Its data visualizations provide easily digestible insights into your business via robust, interactive dashboards. We’re lovers of all things data, and blogs about Power BI are no exception. We are proud to announce our first list of Top 10 PBI Blogs for 2019 to help you harness the raw power of Power BI as well as your other BI needs.

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AmFam's Data Journey From Legacy To Cloud: Teaching People To Fish In The Data Lake

Bruno Aziza

AmFam’s journey from a data-rich company to a data-driven company.

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Turning data into money at speed: The Capitalogix story

IBM Big Data Hub

Learn how Capitalogix harnessed the IBM Integrated Analytics System (IAS) to find insights in their data.

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Supercharge Your Sales Team With Actionable Analytic Apps?

Sisense

Quarterly sales quotas. If you lead a sales team, these three little words have the unique ability to make you sweat. And if your team’s quotas are based on value rather than volume, it’s likely that your tech stack and dashboards aren’t providing the intel your reps need to build and maintain a pipeline that consistently delivers. Your sales reps are responsible for nurturing and guiding the best possible prospects down your sales pipeline so you want to make sure they have the data transparenc

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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

Speaker: Jay Allardyce, Deepak Vittal, Terrence Sheflin, and Mahyar Ghasemali

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.

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11 Important KPIs for a Highly Effective HR Manager

Jet Global

As the competition for talent grows, workplaces around the world are facing pressure to attract, engage, and retain employees. Under scrutiny to demonstrate the value they add to a company’s strategy, many human resources (HR) departments are turning to analytics supported by key performance indicators (KPIs) and metrics. Assessing HR Goals. HR managers are responsible for balancing the needs and goals of both the company and the workforce.

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Understanding Demand Forecasting And Then Mastering It

BizAcuity

Businesses in every industry are facing increasing demand volatility. Additionally, with rapidly evolving market conditions, it has become vital for businesses to stay prepared and anticipate the future. To cater to these fast-changing market dynamics, the practice of demand forecasting began. Today, several businesses, especially those belonging to the FMCG sector, have sophisticated demand forecasting models in place, which help them stay ahead of the market.

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Is Your AI Project About Customer Experience or About Business Decisions?

Decision Management Solutions

Many organizations are investing in artificial intelligence (AI) initiatives these days. However, many are also lumping all of the uses of AI into the same program. This is a terrible idea because AI technologies are being used for two very different business outcomes. AI success relies on a clear focus on business outcomes rather than on the technology itself.

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Managing Emerging Technology Disruption with Enterprise Architecture

erwin

Emerging technology has always played an important role in business transformation. In the race to collect and analyze data, provide superior customer experiences, and manage resources, new technologies always interest IT and business leaders. KPMG’s The Changing Landscape of Disruptive Technologies found that today’s businesses are showing the most interest in emerging technology like the Internet of Things (IoT) , artificial intelligence (AI) and robotics.

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The Ultimate Guide To Data-Driven Construction: Optimize Projects, Reduce Risks, & Boost Innovation

Speaker: Donna Laquidara-Carr, PhD, LEED AP, Industry Insights Research Director at Dodge Construction Network

In today’s construction market, owners, construction managers, and contractors must navigate increasing challenges, from cost management to project delays. Fortunately, digital tools now offer valuable insights to help mitigate these risks. However, the sheer volume of tools and the complexity of leveraging their data effectively can be daunting. That’s where data-driven construction comes in.