Grooper

MARCH 5, 2020

Information stewards are the critical link for organizations committed to innovation and maximizing the effective use of data. Haven’t heard the term “information steward” before? If your organization has any kind of data and analytics initiative, then chances are you have people – maybe even an entire department dedicated to managing and integrating data for (and between) software applications to achieve some sort of business outcome.

Data Lake 98

Data Lake Metadata Data Quality Software 98

TDAN

MARCH 3, 2020

In most of our organizations we have people doing data analysis all over the place. From very technical SQL queries and cubes to the more mundane spreadsheet-based number crunching, we have no shortage of data activity going on. It would be too easy to say that the reason organizations fail to fully capitalize on this […].

Data Quality 71

Data Quality IT Data Strategy Data Governance 71

datapine

MARCH 4, 2020

In our information-rich age, a business can accelerate its success by harnessing its organizational data in a way that is both efficient and value-driven. To squeeze every last drop of value from your data, both in an operational and strategic sense, it’s important to leverage the right online reporting tool. When it comes to reporting, the daily running of your business, the plans and methods you formulate to improve the organization will steer your long-term success.

Operational Reporting 169

Operational Reporting Reporting KPI Dashboards 169

DataCamp

MARCH 4, 2020

What are artificial intelligence, machine learning, and data science? How are they related? Read on to find out where they intersect and diverge.

Machine Learning 106

Machine Learning Data Science 106

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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?

Business Intelligence

TDAN

MARCH 3, 2020

Tucked away in portals across the internet, in different formats, with bad headers, strange encoding, and more – the world of data can be treacherous, and despite ‘data scientist’ being dubbed the sexiest job of the century, every data professional knows that it’s not all glitz and glam. There are plenty of steps between getting […].

Data Quality 80

Data Quality IT Data Strategy Business Intelligence 80

Analytics Vidhya

MARCH 1, 2020

Overview Open-source data science projects are a great way to boost your resume Try your hand at these 6 open source projects ranging from. The post 6 Open Source Data Science Projects for Boosting your Resume appeared first on Analytics Vidhya.

Data Science 399

Data Science Analytics Machine Learning 399

Juice Analytics

MARCH 2, 2020

In our data storytelling workshops, I like to discuss the emerging role of ‘analytics translators.’ McKinsey Global Institute estimates that demand for translators in the United States alone may reach two to four million. ( Source ) But the term "translator" gives the impression that the role is about faithful transformation of data into a human-understandable form.

Analytics 141

Analytics Dashboards Reporting IT 141

erwin

MARCH 5, 2020

The value of enterprise architecture to innovation management and digital transformation is clear. Innovation management is about quickly and effectively implementing your organization’s goals through the adoption of innovative ideas, products, processes and business models. Most organizations are beginning to realize that to drive business growth and maintain a competitive advantage, innovation needs to be uncovered, documented and socialized rapidly but with care to ensure maximum value.

Digital Transformation 133

Digital Transformation Enterprise Management Modeling 133

Analytics Vidhya

MARCH 4, 2020

Introduction “Visualization gives you answers to questions you didn’t know you had.” – Ben Shneiderman My day-to-day work as a Data Scientist requires a. The post 6 Essential Data Visualization Python Libraries – Matplotlib, Seaborn, Bokeh, Altair, Plotly, GGplot appeared first on Analytics Vidhya.

Visualization 398

Visualization Analytics 398

Corinium

MARCH 5, 2020

With the variety of ways that customers reach out for support—like via email, calling over the phone, initiating a live chat—it makes sense for companies to invest in an omnichannel experience. But given that most customers would prefer to solve issues on their own, what’s the best way to give them the opportunity to do so across multiple support channels?

IT 195

IT Management 195

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📌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.

Data-driven

Data Science 101

MARCH 6, 2020

The first course in the Mastering Azure Machine Learning series has launched. It focuses on building your first model with Azure Machine Learning. This is a great place to start if you are brand new to Azure Machine Learning. In particular, you will learn the following. Create an Azure Machine Learning workspace Create a compute instance for machine learning Use Jupyter Notebooks within that compute Monitor the progress of machine learning experiments you are building.

Machine Learning 128

Machine Learning Modeling Data Science IT 128

Perceptual Edge

MARCH 5, 2020

I just finished reading the book about Artificial Intelligence (AI) that I’ve been craving for years: Artificial Intelligence: A Guide for Thinking Humans , by Melanie Mitchell. More than any other book on this hot but largely misunderstood topic, this book describes AI in clear and accessible terms. It cuts through the hype to present a sane assessment with no agenda apart from a desire to inform.

Machine Learning 124

Machine Learning Technology IT 124

Analytics Vidhya

MARCH 3, 2020

Introduction The Transform function in Pandas (Python) can be slightly difficult to understand, especially if you’re coming from an Excel background. Honestly, most data. The post Learn How to use the Transform Function in Pandas (with Python code) appeared first on Analytics Vidhya.

Analytics 384

Analytics Data mining Structured Data 384

KDnuggets

MARCH 6, 2020

Fines from the GDPR have been rolling in since its inception in 2018. This article investigates who are the largest penalty recipients by country, the amounts, and private individuals.

IT 109

IT 109

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.

Marketing

Data Science 101

MARCH 3, 2020

The tech and people of AI are presented nicely in this infographic. There is tons of information in here, so take your time. Plus, leave a comment with any details you find surprising or interesting. You can also find more infographics at Visualistan. Also, Data Science 101 has posted many other data-specific infographics. The post The tech and people of AI appeared first on Data Science 101.

Data Science 126

Data Science 126

IBM Big Data Hub

MARCH 2, 2020

IBM Data Science and AI Elite team members Mehrnoosh Vahdat and Rachael Dottle were just one month into their IBM careers when they received their first assignment last July. . The project jettisoned them into the heart of Africa, where their banking client was looking to surface new business opportunities across the subcontinent. Their mission was to generate a proof of concept designed to enhance the value of data science and inject the results into workflows for business users and clients.

Data Science 100

Data Science 100

Analytics Vidhya

MARCH 2, 2020

Learn about deploying deep learning models using TensorFlow Serving How to handle post-deployment challenges like swapping between different versions of models using TensorFlow Serving. The post TensorFlow Serving: Deploying Deep Learning Models Just Got Easier! appeared first on Analytics Vidhya.

Deep Learning 394

Deep Learning Modeling Analytics Unstructured Data 394

TDAN

MARCH 3, 2020

This article explores why you should consider adopting the Disciplined Agile (DA) toolkit from several points of view: Why Should Agile Practitioners Adopt Disciplined Agile? ————————————————————————- There are several reasons why an agile practitioner should be interested in the Disciplined Agile (DA) toolkit: DA is agnostic and pragmatic.

Data Strategy 99

Data Strategy Business Intelligence Strategy Management 99

Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin

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.

Business Intelligence

Data Science 101

FEBRUARY 29, 2020

Lots of announcements this week, so without delay, let’s get right to Cloud Data Science 9. News. Google Announces Cloud SQL for Microsoft SQL Server Google’s Cloud SQL now supports SQL Server in addition to PostgreSQL and MySQL Google Opens a new Cloud Region Located in Salt Lake City, Utah, it is named us-west3. They are promoting it as the Silicon Slopes region, so that is good news if you or your customers are near that location.

Data Science 106

Data Science IoT Deep Learning IT 106

FineReport

MARCH 3, 2020

Free course: The good news is: Lecture notes for a $ 2,000 online AI course are now open source! Former Kaggle chief scientist and founder of fast.AI, Jeremy Howard, who has been working on AI education, released free benefits and announced his AI course lectures this spring at the University of San Francisco. The notebook code for the course is now available and for free.

Deep Learning 98

Deep Learning Data Processing Software Data Science 98

Analytics Vidhya

MARCH 5, 2020

Happy Women’s Day to all the wonderful, curious, and passionate women out there! Analytics Vidhya is celebrating the power of women in data science. The post 10 Powerful Talks by Women in Data Science [Women’s Day Special!] appeared first on Analytics Vidhya.

Data Science 378

Data Science Analytics 378

Sisense

MARCH 4, 2020

Blog. Today, every industry is data-driven. In The Data Behind , we dig into the data creating change in rapidly evolving industries. Healthcare is experiencing a digital transformation, shifting how the medical ecosystem operates and the way that care is delivered. And all of this change comes down to one little word: data. In 2013 , the healthcare industry produced 153 exabytes of data; in 2020, that volume is estimated to increase over 15-fold to 2,314 exabytes.

Digital Transformation 94

Digital Transformation Cost-Benefit Data-driven Big Data 94

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.

Data-driven

Paris Technologies

MARCH 1, 2020

In-memory database systems are designed explicitly to get the most out of memory and for its performance advantage. Learn about in-memory database and how you can leverage it for analytics.

Analytics 93

Analytics IT Business Analytics Business Intelligence 93

DataRobot

MARCH 6, 2020

If you’re a commercial insurer, how do you evaluate your claims personnel? How do those evaluations impact your decisions on how to deploy individual adjusters?

Insurance 96

Insurance 96

Analytics Vidhya

MARCH 5, 2020

What is One-Hot Encoding? When should you use One-Hot Encoding over Label Encoding? These are typical data science interview questions every aspiring data scientist. The post One-Hot Encoding vs. Label Encoding using Scikit-Learn appeared first on Analytics Vidhya.

Data Science 334

Data Science Analytics Structured Data 334

Sisense

MARCH 2, 2020

Blog. Sisense News is your home for corporate announcements, new Sisense features, product innovation, and everything we roll out to empower our users to get the most out of their data. McKinsey famously said that “APIs are the connective tissue in today’s ecosystems [of technologies and organizations] … and have now become a significant engine of business growth.”.

Modeling 87

Modeling Data-driven Dashboards Testing 87

Speaker: Christophe Louvion, Chief Product & Technology Officer of NRC Health and Tony Karrer, CTO at Aggregage

Christophe Louvion, Chief Product & Technology Officer of NRC Health, is here to take us through how he guided his company's recent experience of getting from concept to launch and sales of products within 90 days. In this exclusive webinar, Christophe will cover key aspects of his journey, including: LLM Development & Quick Wins 🤖 Understand how LLMs differ from traditional software, identifying opportunities for rapid development and deployment.

Sales

IBM Big Data Hub

MARCH 4, 2020

As an open, Kubernetes-based, data and AI platform, IBM Cloud Pak for Data integrates with an array of technology solutions that enhance organizations’ ability to make their data ready for AI.

Technology 83

Technology Data Integration 83

Decision Management Solutions

MARCH 4, 2020

Balancing key profit drivers such as revenue, risk, & costs is central to success in lending and many other high volume, transactional decisions targeted with Decision Management. The decision improvement lifecycle is central to delivering the full value of decision management. Being able to rapidly and effectively execute decisions, monitor their effectiveness, learn what works (and what does not), and iteratively improve your decision-making results in significant business benefit.

Optimization 83

Optimization Cost-Benefit Publishing Strategy 83

Jet Global

MARCH 2, 2020

Do you struggle with your financial reporting on Yardi, and find yourself spending hours downloading data and customizing reports? Are you frustrated with relying on IT or consultants to create your reports, and encountering delays and missed deadlines? Many finance teams using Yardi property management solutions find that they spend excessive amounts of their time on manual reporting tasks, which is exacerbated by the extensive number of reports required for banking and investment accounting.

Reporting 83

Reporting Recreation/Entertainment Insurance Consulting 83

Dataiku

MARCH 6, 2020

Different people across an organization might have different definitions for what makes good data science. For data leaders, it might be impact on the business, while for people like data scientists or engineers, it might be more detailed and nuanced - like the quality or accuracy of the model. How can everyone across the organization find common ground for what makes good data science?

Data Science 82

Data Science Modeling IT 82

Speaker: Jesse Simms, VP at Giant Partners

This new, thought-provoking webinar will explore how even incremental efforts and investments in your data can have a tremendous impact on your direct mail and multi-channel marketing campaign results! Industry expert Jesse Simms, VP at Giant Partners, will share real-life case studies and best practices from client direct mail and digital campaigns where data modeling strategies pinpointed audience members, increasing their propensity to respond – and buy.

Modeling