Juice Analytics
APRIL 4, 2019
Preet Bharara, former United States Attorney for the Southern District of New York, shared some thoughts on writing his new book "Doing Justice" (from the New York Times Book Review podcast — starts at 21:30). These lessons mirror the challenges we see when we think about the distinction between making good visualizations and crafting data stories. Anything of length is difficult in a different way.
Srividya Sridharan
APRIL 4, 2019
Insights come in many flavors. Customer insights. Consumer insights. Competitor insights. Market insights. Company insights. Operational insights. Process insights. Sales insights. Marketing insights….you get the drift. All types of enterprise data (big, medium, small and petite), as well as external data fuel these insights and make you smarter about how you engage with your customers, […].
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Ontotext
APRIL 4, 2019
Source: Economy.bg. On March 19, 2019, Economy.bg interviewed Milena Yankova, Head of Research and Innovation for Ontotext. The conversation covered a wide range of topics from the tasks Artificial Intelligence (AI) can handle and the challenges it poses, to “fake news”, the intelligent enterprise of the future, cancer and much more. Learn about how machines can and do help people to be more efficient and more creative.
The Data Visualisation Catalogue
APRIL 4, 2019
Below is a guest post from Andy Maggio, the founder of DataView VR. He’s here to explain his vision of the future with dashboards and workspaces from utilising virtual reality (VR) technology. Andy will also demonstrate how VR can be useful in multi-dimensional data analysis and in the financial industry. During my 14 years at Morgan Stanley as an investment analyst, by far my biggest challenge was trying to process the incredible amount of data and information that was available to me daily.
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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.
Grooper
APRIL 4, 2019
Choosing the right analytics solution isn't easy. Successfully navigating the 20,000+ analytics and business intelligence solutions on the market requires a special approach. Read on to learn how data literacy, information as a second language, and insight-driven analytics take digital strategy to a new level. People-process-technology speak is no longer enough to traverse the technological landscape.
DataRobot
APRIL 4, 2019
Humans and AI have more in common than you may think. How? In this AI Simplified video, Colin Priest explains that just as human beings benefit from diversity on teams of employees, diversity is also important to AI. Diversity brings together different perspectives, experiences, and ideas, which leads to better solutions and results. Don’t limit yourself or your business by relying on one answer or one algorithm.
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
IBM Big Data Hub
APRIL 4, 2019
Learn how the IBM Data Science and AI Elite Team helped JPMorgan Chase with AI initiatives.
Daydreaming Numbers
APRIL 4, 2019
A cycle plot shows both days of the week/month of the year effect and trend/cycle in data. Cycle plots were created by Willian Cleveland and his colleagues in 1978 at Bell Labs. The post How to use cycle plots to show seasonality? appeared first on Daydreaming Numbers.
Insight
APRIL 4, 2019
Copyrights PostgreSQL Simply Install is a series of blogs covering installation instructions for simple tools related to data engineering. This blog covers basic steps to install and configuration PostgreSQL (a popular relational database) and expose it as a service. To provide a consistent installation, all instructions are written after testing on Ubuntu 18.04.
BI-Survey
APRIL 4, 2019
A fter the hype comes disillusionment and the growing realization that Hadoop and data lakes do not provide the answer for all analytic tasks. However, that is not to say the technology and concept do not have great potential. There is still a need to further explore this area and make the best practices and benefits of Hadoop and data lakes more transparent and tangible based on real experiences.
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.
Andrew White
APRIL 4, 2019
Click here for an interactive PDF to connect to the research directly.
Nutanix
APRIL 4, 2019
Cloud and DevOps have played a big role in helping IT address some of the biggest transformative shifts of our times. The rise of the service economy, unprecedented pace of disruption, and infusion of digital into everyday life are just some examples.
erwin
APRIL 4, 2019
A strong data governance framework is central to the success of any data-driven organization because it ensures this valuable asset is properly maintained, protected and maximized. But despite this fact, enterprises often face push back when implementing a new data governance initiative or trying to mature an existing one. Let’s assume you have some form of data governance operation with some strengths to build on and some weaknesses to correct.
Nutanix
APRIL 4, 2019
If you’ve attended a.NEXT Conference you know we tend to be a wee bit quirky and spontaneous in our main stage keynotes.
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.
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