Dataiku

FEBRUARY 16, 2021

Insurance is one of the many industries that has been tremendously shaken by the events of 2020. These unprecedented happenings are significantly reshaping the insurance market, pushing insurers to review their approach to numerous sectors and risks. This market shock should not overshadow the longer trends at play which are sustainably transforming the insurance business, across all business lines (P&C, life, savings, and commercial): longevity, health conditions, climate change, and the co

Insurance 98

Insurance Marketing Risk 98

Analytics Vidhya

FEBRUARY 16, 2021

ArticleVideos This article was published as a part of the Data Science Blogathon. Pre-requisites Understanding of Machine Learning using Python (sklearn) Basics of Django. The post Machine Learning Model Deployment using Django appeared first on Analytics Vidhya.

Machine Learning 373

Machine Learning Modeling Data Science Publishing 373

TDAN

FEBRUARY 16, 2021

With the new year events well behind us, we’re steadily focused on moving forward in 2021. While we have seen a change in the calendar year, one initiative that continues to be a top priority for businesses is storing, managing, accessing and optimizing corporate data. Given that, let’s consider what I believe will be some […].

Technology 145

Technology Optimization Management Data Architecture 145

Analytics Vidhya

FEBRUARY 16, 2021

ArticleVideos This article was published as a part of the Data Science Blogathon. Introduction An iteration is an object that repeats identical or similar. The post Iteration in Python – enumerate(), item(), np.nditer(), iterrows() appeared first on Analytics Vidhya.

Data Science 299

Data Science Publishing Analytics 299

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Visualization

Smart Data Collective

FEBRUARY 16, 2021

Big data has shed some important insights on a number of facets of modern organizational functions. One of the areas that has been shaped by big data is cybersecurity. We have talked about the importance of using big data to strengthen cybersecurity by creating more robust defenses. However, there are also less direct reasons that big data can be important for stopping cyberattacks.

Big Data 120

Big Data Data-driven Risk Reporting 120

Analytics Vidhya

FEBRUARY 16, 2021

ArticleVideos Introduction I love the wide variety of charts Tableau offers. If we’re ever confused about which chart to design, Tableau offers a ton. The post How to Create a Donut Chart in Tableau appeared first on Analytics Vidhya.

Analytics 247

Analytics Structured Data Visualization 247

TDAN

FEBRUARY 16, 2021

Data supply chains in pharma and life sciences are generally long and complex. They typically involve multiple business units, both inside and outside a given enterprise. This impacts reference data in particular because its management is very distributed, leading to the increased need for downstream integration as well as overall redundancy. Although it might seem […].

Management 59

Management Enterprise IT Data Strategy 59

Jet Global

FEBRUARY 16, 2021

Market expansion provides small to mid-market companies an enterprise performance management solution and integration with Spreadsheet Server and Jet Reports. RALEIGH, N.C. – February 16, 2021 – insightsoftware , a global provider of enterprise software solutions for the Office of the CFO, today announced that Bizview , the company’s enterprise performance management (EPM) solution for small to mid-market companies, is now available in North America.

Forecasting 52

Forecasting Reporting Marketing Software 52

TDAN

FEBRUARY 16, 2021

An integral part of organizational data comprises of customer and employee data. This data is used for important decision making related to improving sales, budget planning & allocation, resource utilization, etc. At the same time, this data potentially contains sensitive customer and employee data. Therefore while using this data for decision making, it becomes imperative […].

Data Governance 52

Data Governance Reporting Sales IT 52

Teradata

FEBRUARY 16, 2021

Addressing the rapid evolution of fraud and risk is an imperative for payments players. Machine learning and advanced analytics can help. Find out more.

Machine Learning 52

Machine Learning Risk Analytics 52

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

Nutanix

FEBRUARY 16, 2021

In the race to rapidly develop an effective vaccine against SARS-CoV-2, the virus responsible for the global COVID-19 pandemic that swept through 2020, an assembly of unique proficiencies needed to converge with incredible timing.

30

30

Sisense

FEBRUARY 16, 2021

Blog. Every aspect of analytics is powered by a data model. A data model presents a “single source of truth” that all analytics queries are based on, from internal reports and insights embedded into applications to the data underlying AI algorithms and much more. During development, a data model is created that addresses all the data stored in sources that could be called upon for a specific purpose.

Modeling 52

Modeling OLAP Data Warehouse Cost-Benefit 52

Nutanix

FEBRUARY 16, 2021

In the race to rapidly develop an effective vaccine against SARS-CoV-2, the virus responsible for the global COVID-19 pandemic that swept through 2020, an assembly of unique proficiencies needed to converge with incredible timing.

20

20

DataRobot

FEBRUARY 16, 2021

When DataRobot and Snowflake , the Data Cloud company, announced a new partnership in 2018, their stated goal was to “accelerate the adoption of AI in the enterprise.” For over two years, the two companies have worked closely to better understand how their businesses can integrate seamlessly to serve their customers’ needs. . After months of fruitful collaboration, DataRobot and Snowflake are excited to announce the first integration points under the partnership.

Machine Learning 52

Machine Learning Data Science Testing Modeling 52

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