datapine
APRIL 16, 2019
We read about it everywhere. The term ‘big data’ alone has become something of a buzzword in recent times – and for good reason. By leveraging the wealth of digital insights available at your fingertips and embracing the power of business intelligence , it’s possible to make more informed decisions that will lead to commercial growth, evolution, and an increased bottom line.
Smart Data Collective
APRIL 16, 2019
According to a UN study, 55% of the total world population is living in cities and by the year 2050, this figure could rise to a whopping 68%. The modern world is increasingly urbanized and megacities are rising faster than ever before, especially in Asian and African countries. The report highlighted that , at the present rate of development, there will be 43 megacities by 2030 and New Delhi is set to surpass Tokyo, which is currently the world’s largest city.
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Analytics Vidhya
APRIL 16, 2019
Introduction I’m a big fan of R – it’s no secret. I have relied on it since my days of learning statistics back in. The post 8 Useful R Packages for Data Science You Aren’t Using (But Should!) appeared first on Analytics Vidhya.
TDAN
APRIL 16, 2019
The secret lies with Data Governance. The Chief Data Officer (or whoever the Data Czar is at your organization) needs to get past, and I mean way past, the “Why is Data Governance important?” or “Why do we need Data Governance?” questions if they are ever going to be successful czar-ing the data. Rather, the […].
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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.
Dataiku
APRIL 16, 2019
Calculating the Return on Investment (ROI) on a business project is a necessary evil. On the one hand, you need ROI to determine the most impactful ways of spending your human and financial capital. Yet on the other, these calculations are notoriously challenging to figure out, as there are so many factors that come to bear. Data Initiatives are especially difficult to evaluate, as their success rests on the organizational buy in that results from stakeholders believing in their value.
Sisense
APRIL 16, 2019
There’s no denying it: the OEM analytics market is huge. A trend now recognized by Gartner in their 2018 Critical Capabilities for Analytics and Business Intelligence Platforms report, more and more organizations see the value in providing their customers with analytics. But what’s the best way to architect your OEM offering? This is where the fun begins.
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
Insight
APRIL 16, 2019
A tuition-free, 7-week professional fellowship designed to be your bridge to a thriving career in security Insight is launching the Insight Security Fellows Program , a professional training fellowship to help systems engineers, software engineers, and data analysts transition into full-time careers as security engineers, data privacy engineers, and advanced security analysts.
Smart Data Collective
APRIL 16, 2019
. The Internet of Things (IOT) is growing at an unprecedented pace. By the end of next year, utility companies are expected to spend around $120 billion on IOT technologies. McKinsey estimates that spending on ICT-based IOT products alone will exceed $580 billion. This means that the annual growth rate for this market will be between 7% and 15%. The changes in the market are clearly impressive.
Grooper
APRIL 16, 2019
Information as a Second Language, or ISL is a critical need. Research firm Gartner, Inc says that “ Unless data and analytics leaders treat information as the new second language of business, government, and communities, they will not be able to deliver the competitive advantage and agility demanded by their enterprises.”. Organizations that lag behind suffer economically and will begin to lose market share to competition.
Smart Data Collective
APRIL 16, 2019
Predictive analytics is the foundation of modern marketing. Companies rely on predictive analytics to: Get a better understanding of customer behavior based on past data that has been collected. Use existing data sets to identify future trends that will influence the future of your business. Evaluate previous data repositories to identify threats and take corrective action.
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.
TDAN
APRIL 16, 2019
The physician job has become less and less focused on patients, and more and more preoccupied with the administrative and data-entry tasks that require attention and time. A study by the University of Wisconsin and the American Medical Association (AMA) found that primary care physicians spend almost 6 hours on EHR data entry during a […].
DataRobot
APRIL 16, 2019
Today, just about every organization wants to adopt artificial intelligence (AI) and machine learning to deliver insights and predictions from the massive amounts of business and operations data they have collected. However, many of these companies don’t have the data science talent or experience to develop and deploy machine learning or AI. In fact, just knowing where to start is preventing a lot of companies from launching machine learning initiatives.
TDAN
APRIL 16, 2019
Apache Hadoop is a comprehensive ecosystem which now features many open source components that can fundamentally change an enterprise’s approach to storing, processing, and analyzing data. Unlike traditional relational database management systems, Hadoop now enables different types of analytical workloads to run the same set of data and can also manage data volumes at a […].
Bruno Aziza
APRIL 16, 2019
How the world's largest brewing company is monetizing data.
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.
TDAN
APRIL 16, 2019
Business intelligence has two main applications: gathering information and discovering patterns. When applied to healthcare, it allows providers to collect and analyze data on patient health, medical staff performance, and administrative issues. This way, hospital administration acquires a better understanding of their internal processes and identifies ways to improve them.
Nutanix
APRIL 16, 2019
As an increasing number of organizations turn to DevOps methodologies, it’s becoming clear those that are successful are gaining a competitive advantage over their peers.
TDAN
APRIL 16, 2019
The perfect project management style has yet to be discovered. For the curious project owner, exploring all the different project management methodologies is an enriching endeavor. It’s a good idea for everyone, even those dead set on one particular management philosophy, to look into other popular project management frameworks. How do you find out which […].
The Unofficial Google Data Science Blog
APRIL 16, 2019
by MICHAEL FORTE Large-scale live experimentation is a big part of online product development. In fact, this blog has published posts on this very topic. With the right experiment methodology, a product can make continuous improvements, as Google and others have done. But what works for established products may not work for a product that is still trying to find its audience.
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.
TDAN
APRIL 16, 2019
The phrase “data architecture” often has different connotations across an organization depending on where their job role is. For instance, most of my earlier career roles were within IT, though throughout the last decade or so, has been primarily working with business line staff. When I present at conferences, seminars, or DAMA chapters, I ask […].
Jen Stirrup
APRIL 16, 2019
I wanted to offer some alternative thoughts on the presentation entitled ‘ DIY Deep Fakes ‘ with the subtitle ‘ Why Deep Fakes are dangerous, and how to make them ‘ I don’t represent the Microsoft MVP Program, any other Microsoft program, or Microsoft. The backstory is that the presenter, James Ashley, was an MVP for ten or so years, and he was removed from the Program as per his blog post here.
Depict Data Studio
APRIL 16, 2019
A couple weeks ago, I led a series of half-day workshops for faculty members and graduate students at the University of South Carolina in Columbia, South Carolina. The first of two data visualization workshops with @AnnKEmery is underway! #GRADprofdev #GradsDo pic.twitter.com/Dw15UFiFDh — GradSchoolatUSC (@GradSchoolatUSC) April 5, 2019. Thanks to Heather Brandt and Chelsea Richard for making this learning opportunity possible!
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