David Menninger's Analyst Perspectives

FEBRUARY 21, 2020

Ventana Research recently announced its 2020 research agenda for data, continuing the guidance we’ve offered for nearly two decades to help organizations derive optimal value and improve business outcomes. Data volumes continue to grow while data latency requirements continue to shrink. Meanwhile, virtually every organization is confronting a need for good data governance.

Data Governance 212

Data Governance Optimization Data Lake IT 212

Smart Data Collective

FEBRUARY 21, 2020

The accessibility and value of consumer data has grown substantially in the past several years. These days, nearly every company bigger than a “mom and pop” shop works to gather and analyze terabytes of data from their customers, hoping to better understand and serve them while one-upping the competition. In the financial industry, these efforts are particularly intense.

Big Data 118

Big Data Machine Learning Statistics Predictive Analytics 118

bridgei2i

FEBRUARY 21, 2020

As technology innovates year after year, AI-powered analytics has likewise evolved, while keeping a decade-long marathon-paced trend in popularity. In fact, statistics from Maryville University on Business Data Analytics predict that the US market will be valued at more than $95 billion by the end of this year. With that in mind, here are the latest growth drivers, trends, and developments that will likely shape the world of business data analytics in 2020: 1.

IoT 83

IoT Analytics Deep Learning B2B 83

Smart Data Collective

FEBRUARY 21, 2020

Many careers have been heavily impacted by changes in big data. The big data revolution has had a profound effect on healthcare, marketing and many other fields. One of the fields that has been most affected by big data is electrical engineering. Tom Dietterich, a professor of the Department of Electrical Engineering and Computer Science at Portland State University, has written an article on the impact of big data in this field.

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Big Data Data mining IoT Testing 113

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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

MLWhiz

FEBRUARY 21, 2020

Data manipulation is a breeze with pandas, and it has become such a standard for it that a lot of parallelization libraries like Rapids and Dask are being created in line with Pandas syntax. Sometimes back, I wrote about the subset of Pandas functionality I end up using often. In this post, I will talk about handling most of those data manipulation cases in Python on a GPU using cuDF.

IT 77

IT 77

Smart Data Collective

FEBRUARY 21, 2020

Like all other sectors, the healthcare industry collects, stores and uses data. The market for big data in the global healthcare sector is expected to reach $42.8 billion by 2024. When a negligence claim is being investigated, this patient data can prove extremely valuable. In this post, we’ll look at how medical and patient data is handled during a negligence investigation claim.

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Big Data Insurance Marketing Publishing 102

MLWhiz

FEBRUARY 21, 2020

A Machine Learning project is never really complete if we don’t have a good way to showcase it. While in the past, a well-made visualization or a small PPT used to be enough for showcasing a data science project, with the advent of dashboarding tools like RShiny and Dash, a good data scientist needs to have a fair bit of knowledge of web frameworks to get along.

Machine Learning 59

Machine Learning Dashboards Visualization Data Science 59

CDW Research Hub

FEBRUARY 21, 2020

CRN , a leading IT news organization and a brand of The Channel Company , recently ranked Sirius among its 2020 Managed Services Provider (MSP) 500 List in the Security 100 category. This list identifies North American solution providers that deliver operational efficiencies, IT system improvements, and a higher rate of return on investments for their clients, according to a press release issued by CRN.

Management 59

Management Modeling IT 59

Perceptual Edge

FEBRUARY 21, 2020

I often write about topics that I myself have struggled to understand. If I’ve struggled, I assume that many others have struggled as well. Over the years, I’ve found several mathematical concepts confusing, not because I’m mathematically disinclined or disinterested, but because my formal training in mathematics was rather limited and, in some cases, poorly taught.

Visualization 91

Visualization Statistics IT Business Intelligence 91

MLWhiz

FEBRUARY 21, 2020

Recently I was working on tuning hyperparameters for a huge Machine Learning model. Manual tuning was not an option since I had to tweak a lot of parameters. Hyperopt was also not an option as it works serially i.e. at a time, only a single model is being built. So it was taking up a lot of time to train each model and I was pretty short on time.

Machine Learning 71

Machine Learning Modeling IT 71

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