Dataiku

OCTOBER 6, 2020

While a majority of AI’s business value comes from deploying models operationally, a significant percentage of data science projects never actually make it out of the lab to even start making a real-world impact. Why is that so? In this recap from a recent webinar with GigaOm Research featuring Dataiku’s Lead Data Scientist Katie Gross , we break down some of the key barriers to machine learning deployment and what data teams (notably data scientists) have the power to do to help prevent this fr

Machine Learning 128

Machine Learning Data Science Modeling IT 128

Analytics Vidhya

OCTOBER 6, 2020

This article was published as a part of the Data Science Blogathon. Introduction How can Data Science, besides helping you professionally, improve the quality. The post Data Science- The Go-To Tool for Solving Daily Problems and Taking Better Decisions appeared first on Analytics Vidhya.

Data Science 393

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Sisense

OCTOBER 6, 2020

Blog. Digging into quantitative data Why is quantitative data important What are the problems with quantitative data Exploring qualitative data Qualitative data benefits Getting the most from qualitative data Better together. We live in a world of data: There’s more of it than ever before, in a ceaselessly expanding array of forms and locations. Dealing with Data is your window into the ways organizations and data teams tackle the challenges of this new world to help their companies and their cu

Statistics 98

Statistics Unstructured Data Data-driven Visualization 98

Analytics Vidhya

OCTOBER 6, 2020

This article was published as a part of the Data Science Blogathon. Disclaimer: In this article, I’ll cover some resampling techniques to handle imbalanced. The post Overcoming Class Imbalance using SMOTE Techniques appeared first on Analytics Vidhya.

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Visualization

Jet Global

OCTOBER 6, 2020

RALEIGH, N.C. – October 6, 2020 – insightsoftware, a global provider of enterprise software solutions for the Office of the CFO, today announced that Jim Triandiflou has been appointed the new CEO effective October 1, 2020. “We are incredibly proud of the growth insightsoftware has achieved over the past two years. Attracting over 20,000 clients worldwide connecting to 140+ ERPs and EPMs, insightsoftware has become the leader in ERP and EPM reporting software.

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Forecasting Software Finance Reporting 98

Analytics Vidhya

OCTOBER 6, 2020

This article was published as a part of the Data Science Blogathon. Overview Understand how class weight optimization works and how we can implement. The post How to Improve Class Imbalance using Class Weights in Machine Learning appeared first on Analytics Vidhya.

Machine Learning 365

Machine Learning Data Science Optimization Publishing 365

Analytics Vidhya

OCTOBER 6, 2020

This article was published as a part of the Data Science Blogathon. Introduction In today’s competitive world of technology, it is very crucial for. The post A Hands-On Guide to Building a Visual Similarity-Based Recommendation System using Python appeared first on Analytics Vidhya.

Visualization 323

Visualization Data Science Publishing Technology 323

CIO Business Intelligence

OCTOBER 6, 2020

Earlier this year, Microsoft announced it would retire 15 certifications and 44 exams, including MCSA: BI Reporting, which validated data analysts' expertise using Power BI and Excel to visualize data via dashboards and reports. The move is the culmination of the company's 2018 decision to focus on role-based certifications such as data analyst, data engineer, and data scientist.

Dashboards 96

Dashboards Visualization Reporting IT 96

Analytics Vidhya

OCTOBER 6, 2020

Introduction Photo by Tim Foster on Unsplash If you see, you will find out that today, ensemble learnings are more popular and used by. The post All About Decision Tree from Scratch with Python Implementation appeared first on Analytics Vidhya.

Analytics 315

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Sisense

OCTOBER 6, 2020

Blog. Time to make your data work for you. In Hacking the Analytic App Economy , we show you how to build a data monetization strategy that leverages your company’s data to open new revenue opportunities, drive value, and help you thrive in the new era of analytic apps. Adding analytics to your product offerings used to be a great way to differentiate yourself from your competitors, but as more companies jump on the analytics train, your company will have to work harder to prove its worth.

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Analytics Consulting Sales Strategy 78

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

Analytics Vidhya

OCTOBER 6, 2020

This article was published as a part of the Data Science Blogathon. Introduction The first step in a data science project is to summarize, The post A Quick Guide to Descriptive Statistical Analysis – The First Step in Exploring your Data appeared first on Analytics Vidhya.

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Statistics Data Science Publishing Analytics 284

Cloudera

OCTOBER 6, 2020

The Cloudera Operational Database (COD) is a managed dbPaaS solution available as an experience in Cloudera Data Platform (CDP). It offers multi-modal client access with NoSQL key-value using Apache HBase APIs and relational SQL with JDBC (via Apache Phoenix). The latter makes COD accessible to developers who are used to building applications that use MySQL, Postgres, etc.

Data Processing 79

Data Processing Testing Management Modeling 79

Analytics Vidhya

OCTOBER 6, 2020

Introduction The motivation behind This article comes from the combination of passion(about stock markets) and love for algorithms. Who doesn’t love to make money. The post Bajaj Finance Stock Price Prediction in Python appeared first on Analytics Vidhya.

Finance 271

Finance Marketing Analytics Structured Data 271

TDAN

OCTOBER 6, 2020

Organizations want to move from one-time privacy efforts to on-going privacy programs. Data Protection Officers (DPOs) and Chief Privacy Officers (CPOs) can’t roll-out an on-going privacy program unless they have the underlying technical and organizational infrastructure. They rely on Chief Data Officers (CDOs) to enable the data pipeline, governance, and organizational structure needed to operationalize […].

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Data Strategy Data Governance Big Data Strategy 64

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

Dataiku

OCTOBER 6, 2020

Got questions about implementing Dataiku or the technology behind it? Clément Stenac , co-founder and CTO here at Dataiku, has answers.

Technology 82

Technology IT 82

TDAN

OCTOBER 6, 2020

Because B2B businesses face prolonged buying cycles, marketing strategies need to focus on efforts to establish communication between your brand and leads. Many B2B businesses have now turned to email marketing automation platforms to maintain and establish a complicated buyer atmosphere. Just think, if you have to send out an individual email to every email […].

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B2B Marketing Strategy Data Strategy 52

Nutanix

OCTOBER 6, 2020

We're excited to announce the launch of Era 2.0! This recent evolution of Era expands on the core vision of a unified database operating model while delivering simplicity, performance, availability, and security across private and public clouds.

Management 49

Management Modeling 49

TDAN

OCTOBER 6, 2020

The industrial landscape is undergoing a digital transformation at a breakneck speed. Prominent entities across a myriad of sectors are preparing for the digital revolution by integrating a host of technologies such as IoT, AI, Big Data, digital twins, and robotics, in their processes, products, and workflows. Studies suggest that almost 68% of manufacturers are […].

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IoT Digital Transformation Manufacturing Data Processing 52

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.

Nutanix

OCTOBER 6, 2020

We're excited to announce the launch of Era 2.0! This recent evolution of Era expands on the core vision of a unified database operating model while delivering simplicity, performance, availability, and security across private and public clouds.

Management 20

Management Modeling 20

TDAN

OCTOBER 6, 2020

This column takes a look at a new book, The CDO Journey, by Peter Aiken, Todd Harbour, Kathy Walter, Ed Kelly, and Burt Walsh (Technics Publications 2020). When I read a data book, my goal is to find at least ten important messages that can impact how I approach the topic. I hit my ten […].

Data Strategy 52

Data Strategy Strategy Management 52

Depict Data Studio

OCTOBER 6, 2020

Today’s article comes from Amelia Kohm, the founder of Data Viz for Nonprofits. Thanks for these practical dataviz tips, Amelia! — Ann. What’s missing? Charts, maps, graphs and other data visualizations. When I peruse posts from organizations and businesses, I mostly see: Grainy, low-resolution photos, Oddly-cropped photos that accidentally cut off important parts of the images once they’re transferred to social media posts, Headshots, Stock images (only some of which clearly r

Visualization 52

Visualization IT 52

TDAN

OCTOBER 6, 2020

Gone are the days when enterprises just collected data. With the corporate world stepping towards “data driven decision making” approach, data has assumed an overwhelming importance as invaluable asset for making strategic decisions. In lieu of this, having a strong data management policy is of paramount importance for any enterprise. To meet the new age […].

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Enterprise Data-driven Management Data Governance 52

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.

Management

Jet Global

OCTOBER 6, 2020

Chances are that at some point in your career, you have seen at least one big project end in failure. Generally, the bigger and more ambitious a project is, the higher the likelihood that it will go over budget, fall short of expectations, or will be abandoned. Custom software projects often end up going down this road. So why do so many leaders choose to embark on such ventures?

Reporting 40

Reporting Cost-Benefit Operational Reporting Finance 40

TDAN

OCTOBER 6, 2020

What happens when people who should be accountable for producing quality data as part of their job make it clear that they want nothing to do with producing data? What happens when these people say, “It’s not my job” and they act accordingly? What happens when the data they should produce is important in improving […].

Data Quality 52

Data Quality IT Data Governance Data Strategy 52

Cloudera

OCTOBER 6, 2020

This is a guest blog post, authored by John Zantey, Director and Co-founder, Qabsu. When it comes to cloud, being an early adopter does not necessarily put you ahead of the game. I know of companies that have been perpetually “doing cloud” for 10 years, but very few that have “done cloud” in a way that democratises and makes data accessible, with minimal pain points.

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Measurement Data-driven Risk Technology 64