datapine

MAY 9, 2019

“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.

Business Intelligence 270

Business Intelligence Dashboards Data Warehouse Sales 270

Decision Management Solutions

MAY 7, 2019

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.

Modeling 81

Modeling Management Data Science Marketing 81

Data Science 101

MAY 6, 2019

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.

Data Science 98

Data Science Modeling Machine Learning Testing 98

DataRobot Blog

MAY 7, 2019

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.

Machine Learning 72

Machine Learning Metrics Predictive Analytics Data Science 72

Speaker: John Mansour

If you're looking to advance your career in product management, there are more options than just climbing the management ladder. Join our upcoming webinar to learn about highly rewarding career paths that don't involve management responsibilities. We'll cover both career tracks and provide tips on how to position yourself for success in the one that's right for you.

Management

Analytics Vidhya

MAY 9, 2019

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.

Prescriptive Analytics 306

Prescriptive Analytics Analytics Business Analytics Data Science 306

O'Reilly on Data

MAY 9, 2019

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.

Marketing 197

Marketing Technology 197

David Menninger's Analyst Perspectives

MAY 6, 2019

I am happy to share some insights gleaned from our latest Value Index research, which provides our assessment of how well vendors’ offerings meet buyers’ requirements. The Ventana Research Value Index: Collaborative Analytics and Business Intelligence 2019 is the distillation of a year of market and product research efforts by Ventana Research. Drawing on our benchmark research and expertise, we apply a structured research methodology built on evaluation categories that are designed to reflect t

Analytics 133

Analytics Business Intelligence ROI Software 133

Analytics Vidhya

MAY 5, 2019

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.

Visualization 305

Visualization Analytics IT Deep Learning 305

ScienceSoft

MAY 10, 2019

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.

Visualization 110

Visualization Interactive Analytics 110

Corinium

MAY 5, 2019

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.

Interactive 150

Interactive Software Technology 150

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Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?

Analytics

Smart Data Collective

MAY 8, 2019

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.

Marketing 110

Marketing Advertising Sales Forecasting 110

Analytics Vidhya

MAY 7, 2019

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.

Statistics 295

Statistics Visualization Data Science Analytics 295

Dataiku

MAY 8, 2019

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.

Marketing 102

Marketing Technology IT 102

Corinium

MAY 10, 2019

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

150

150

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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.

Visualization

Smart Data Collective

MAY 6, 2019

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.

Management 103

Management Insurance Data Collection Cost-Benefit 103

DataRobot

MAY 7, 2019

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.

Modeling 92

Modeling 92

Dataiku

MAY 9, 2019

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).

Machine Learning 92

Machine Learning Enterprise Management Technology 92

Srividya Sridharan

MAY 6, 2019

(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 […].

Optimization 85

Optimization Machine Learning Analytics 85

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.

Experimentation

Smart Data Collective

MAY 7, 2019

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.

Big Data 99

Big Data Marketing Advertising Data-driven 99

Jet Global

MAY 5, 2019

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.

Visualization 81

Visualization Dashboards Business Intelligence Interactive 81

BizAcuity

MAY 7, 2019

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.

Forecasting 75

Forecasting IT Sales Statistics 75

Decision Management Solutions

MAY 10, 2019

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.

Machine Learning 75

Machine Learning Data mining Predictive Analytics Interactive 75

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.

Management

Smart Data Collective

MAY 6, 2019

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.

Big Data 98

Big Data Marketing Forecasting IT 98

Jet Global

MAY 10, 2019

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.

KPI 75

KPI Management Key Performance Indicator Dashboards 75

erwin

MAY 9, 2019

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.

Technology 75

Technology Enterprise Management Internet of Things 75

Insight

MAY 7, 2019

Text classification has numerous applications, from tweet sentiment, product reviews, toxic comments, and more. It’s a popular project topic among Insight Fellows, however a lot of time is spent collecting labeled datasets, cleaning data, and deciding which classification method to use. Services like Clarifai , and Google AutoML have made it very easy to create image classification models with less labeled data, but it’s not as easy to create such models for text classification.

Modeling 75

Modeling Testing Machine Learning Interactive 75

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Start-ups & SMBs launching products quickly must bundle dashboards, reports, & self-service analytics into apps. Customers expect rapid value from your product (time-to-value), data security, and access to advanced capabilities. Traditional Business Intelligence (BI) tools can provide valuable data analysis capabilities, but they have a barrier to entry that can stop small and midsize businesses from capitalizing on them.

Analytics

Jen Stirrup

MAY 7, 2019

Nearly three years ago, I complained bitterly about the demise of Windows Datamarket , which aimed to provide free, stock datasets for any and every purpose. I was a huge fan of the date dimension and the geography dimension, since they really helped me to get started with data warehousing. So I’m glad to say that the concept is back, revamped and rebuilt for the data scientists today.

Machine Learning 73

Machine Learning IT Data Science 73

IBM Big Data Hub

MAY 10, 2019

Predictive modeling and analytics have long been the domain of the data scientist and only the data scientist. But with modern tools, data science is becoming a team sport—business analysts and subject matter experts can join the analysis. While the players may have different skill sets and processes, in the world of predictive analytics, collaboration between them can position an entire team to win with data science.

Data Science 73

Data Science Predictive Modeling Predictive Analytics Modeling 73

Andrew White

MAY 6, 2019

Our team expanded a few months ago and we welcomed some folks who focus on client-driven research. The team has been busy and now has a library of important, timely, relevant content. This material often includes case studies and increasingly will be interwoven with our other data and analytics research. Here is a page where our new team will keep an updated of such research: Chief Data and Analytics Officer Research Publication List.

Analytics 71

Analytics Data-driven 71

Insight

MAY 8, 2019

In an ideal world, data scientists would focus their time on analysis and modeling, but there is often seemingly unavoidable overhead in visualizing and presenting their results. Because data scientists generally don’t have an infrastructure background, they often struggle to build out servers and use tools to visualize their modeling and analysis. At Insight , Fellows have to manually set up a web server on an Amazon cloud EC2 instance to deploy a Flask app to showcase their projects, which can

Data Processing 72

Data Processing Testing Data Science Visualization 72

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.

Manufacturing