Remove 2017 Remove Big Data Remove IoT Remove Reporting
article thumbnail

The Top 10 Most Popular VISION Blogs of 2017

Cloudera

Before we get too far into 2018, let’s take a look at the ten most popular Cloudera VISION blogs from 2017. On April 28, 2017, Mike Olson , as one of the founders of Cloudera, writes about the initial public offering, and what the milestone means. “We There’s more data coming, and there are plenty of impossible things to work on.

article thumbnail

EHR/EMR Software Development Recommendations in a Health Market Governed By Big Data

Smart Data Collective

Big data has had a tremendous affect on the healthcare sector. In 2017, the global market for healthcare analytics was valued at $16.9 We talked about some of the biggest ways that big data can influence healthcare. Make sure your EHR system is more than simply a data storage.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Top 10 IT & Technology Buzzwords You Won’t Be Able To Avoid In 2020

datapine

Internal comms: Computer vision technology can serve to improve internal communication by empowering employees to perform their tasks more visually, sharing image-based information that is often more digestible and engaging than text-based reports or information alone. billion in 2017 to $190.61 Artificial Intelligence (AI).

article thumbnail

Top 10 Analytics And Business Intelligence Trends For 2020

datapine

The development of business intelligence to analyze and extract value from the countless sources of data that we gather at a high scale, brought alongside a bunch of errors and low-quality reports: the disparity of data sources and data types added some more complexity to the data integration process.

article thumbnail

Cloudera + Hortonworks, from the Edge to AI

Cloudera

In 2008, I co-founded Cloudera with folks from Google, Facebook, and Yahoo to deliver a big data platform built on Hadoop to the enterprise market. We believed then, and we still believe today, that the rest of the world would need to capture, store, manage and analyze data at massive scale. Their current workloads are safe.

article thumbnail

Strengthening cybersecurity in life sciences with IBM and AWS

IBM Big Data Hub

According to a report on mapping the cloud maturity curve from the EIU , 48% of industry executives said cloud has improved data access, analysis and utilization, 45% say cloud has sped up delivery of new IT services and capabilities, and 44% say cloud has expanded sales channels across digital avenues.

article thumbnail

Topics to watch at the Strata Data Conference in New York 2019

O'Reilly on Data

Machine learning, artificial intelligence, data engineering, and architecture are driving the data space. The Strata Data Conferences helped chronicle the birth of big data, as well as the emergence of data science, streaming, and machine learning (ML) as disruptive phenomena. 1 again in proposals this year.

IoT 20