O'Reilly on Data

MARCH 22, 2019

Machines will need to make ethical decisions, and we will be responsible for those decisions. We are surrounded by systems that make ethical decisions: systems approving loans, trading stocks, forwarding news articles, recommending jail sentences, and much more. They act for us or against us, but almost always without our consent or even our knowledge.

Metadata 241

Metadata Advertising Insurance Modeling 241

datapine

MARCH 22, 2019

“There’s a certain way of creating a service, hospitality, and experience that perpetuates people feeling like they matter.” – Julie Rice, entrepreneur, and investor. Today’s tech-savvy customers are driven by experiences. Now more than ever, consumers look for trust, honesty, transparency, value, and an exemplary level of customer experience (CX) from brands they’re willing to invest in.

Metrics 134

Metrics Dashboards Measurement Interactive 134

CDW Research Hub

MARCH 22, 2019

Siloed data-storage systems were preventing a large and fast-growing franchisor and operator of fitness centers from gaining important insights to drive further business growth. Access to and visibility of critical customer data was unleashed with the help of Sirius. By implementing a full complement of IBM Analytics solutions, and integrating IBM Cognos Analytics with the client’s Salesforce CRM solution, the client gained deeper insights into its customers.

Data Warehouse 66

Data Warehouse Prescriptive Analytics Statistics Big Data 66

Smart Data Collective

MARCH 22, 2019

Big data has made its way into virtually every industry. The real estate profession is no exception. Real estate professionals all over the world are benefiting from big data in a number of ways. CIO has published a very introspective article on eight companies that are using big data to disrupt the real estate industry. Here are some of the biggest benefits of big data for real estate.

Big Data 65

Big Data Cost-Benefit Marketing Strategy 65

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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

Tim Mitchell

MARCH 22, 2019

Change detection is a critical component of any system that moves data from one structure to another. Most data movement mechanisms are designed to move a subset of the data – only that which is new or changed since the last load. For that to work properly, there must be a reliable system for detecting delta data touched since the. The post Webinar: Change Detection in SQL Server appeared first on Tim Mitchell.

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Smart Data Collective

MARCH 22, 2019

There are countless applications of machine learning in 2019. The demand for machine learning developers is growing at a rapid pace. MIT recently announced that it is committing $1 billion to a new program to educate technology professionals about machine learning and artificial intelligence. New academic programs are likely to be launched to focus on this rapidly growing field.

Machine Learning 48

Machine Learning Technology IT Big Data 48

Smart Data Collective

MARCH 22, 2019

Big data is helping online entrepreneurs address some of the most pressing obstacles that they have faced for years. Marketers have utilized deep learning technology to get a better understanding of their customers, so they can refine their creative and targeting strategies. However, there are less obvious applications of big data that are equally important.

Big Data 44

Big Data Deep Learning Machine Learning Marketing 44

Nutanix

MARCH 22, 2019

Most people prefer not to think about disasters–which is why, despite all of the available information, most people are grossly underprepared when disasters do occur.

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Smart Data Collective

MARCH 22, 2019

All technologies today are connected to cloud computing. And unsurprisingly, robotics as well. The biggest beneficiary of this mix of novel and complex technologies seems to be the manufacturing sector. By the end of this year, the global expenditure of robotics and robot-related services will reach approximately $135 bn. As a comparison, the 2015 expenditure of robotics was only $71 bn.

Manufacturing 46

Manufacturing Cost-Benefit Enterprise Technology 46

Andrew White

MARCH 22, 2019

I have blogged before (see this from 2014: A Day in the Life of an Analyst” at Gartner’s IT/Expo Symposium – Day 3 ) about the hot topics I discussed with attendees at our Symposia and data and analytics conferences. In the last 18 months I have not kept this effort up since the observations I had been making were not changing that much. This has as much to do with a slow changing industry as it has with a slow changing attendance profile.

Analytics 68

Analytics Metadata Data Governance Management 68

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