Smart Data Collective

AUGUST 7, 2019

We have talked extensively about the fields that rely most heavily on big data. The insurance industry is one of the companies investing the most in big data technology. Exactly one year ago today, SNS Telecom & IT published a report highlighting the demand for big data in the insurance industry.

Big Data 76

Big Data Insurance Cost-Benefit Risk 76

Smart Data Collective

DECEMBER 3, 2021

Are you looking to get a job in big data? The Bureau of Labor Statistics reports that there were over 31,000 people working in this field back in 2018. However, it is not easy to get a career in big data. More gaming companies are turning to big data experts than ever.

Machine Learning 118

Machine Learning Data Science Internet of Things Big Data 118

O'Reilly on Data

FEBRUARY 4, 2019

In a recent survey , we explored how companies were adjusting to the growing importance of machine learning and analytics, while also preparing for the explosion in the number of data sources. Temporal data and time-series. Automation in data science and big data. Graph technologies and analytics.

Machine Learning 277

Machine Learning Enterprise IoT Big Data 277

Cloudera

SEPTEMBER 24, 2021

One of the most substantial big data workloads over the past fifteen years has been in the domain of telecom network analytics. The Dawn of Telco Big Data: 2007-2012. Suddenly, it was possible to build a data model of the network and create both a historical and predictive view of its behaviour.

Analytics 90

Analytics IoT Cost-Benefit Big Data 90

Smart Data Collective

OCTOBER 13, 2020

Data analytics has been the basis for the cryptocurrency market for years. In 2018, a study from the University of Bremen in Germany discussed some of the implications of big data for the altcoin industry. They found that predictive analytics algorithms were using social media data to forecast asset prices.

Predictive Analytics 100

Predictive Analytics Analytics Forecasting Marketing 100

David Menninger's Analyst Perspectives

DECEMBER 3, 2018

IBM's Analytics University (held in both Miami and Stockholm) brought about some large changes. Big announcements this year included a consolidation of IBM's Watson Analytics into Cognos 11.1, helping provide some clarity to their analytics offerings, along with new visualizations and better data preparation.

Analytics 133

Analytics Visualization Interactive Business Intelligence 133

Cloudera

DECEMBER 19, 2018

Data analytics priorities have shifted this year. Don’t blink or you might miss what leading organizations are doing to modernize their analytic and data warehousing environments. Natural language analytics and streaming data analytics are emerging technologies that will impact the market.

Data Warehouse 52

Data Warehouse Analytics Big Data Data Architecture 52

Sisense

JULY 24, 2019

In my previous blog , I wrote about Natural Language Query (NLQ, or search analytics for some), as one of the major topics that we, the AI group in Sisense, are working on. NLQ is one of the oldest AI disciplines, but we’ve only recently started hearing about it in conjunction with BI and analytics. Machine Intent vs. User Intent.

Analytics 89

Analytics Experimentation Metadata Big Data 89

Smart Data Collective

SEPTEMBER 13, 2021

Big data has been a gamechanger for countless companies in virtually every industry. Construction analytics is a new field that was worth just over $5 billion in 2018. Why is the construction analytics market growing at such a fast pace? This is why building analytics solutions are so invaluable.

Analytics 96

Analytics Cost-Benefit Big Data Statistics 96

Cloudera

DECEMBER 1, 2017

If you’re going to Strata Data Singapore 2017 at the Suntec Singapore Convention & Exhibition Centre , here are four sessions to attend that cover various combinations of my favorite themes: big data, safe data, and cloud data. A deep dive into r unning big data workloads in the cloud.

Big Data 40

Big Data Consulting Optimization Management 40

AWS Big Data

AUGUST 11, 2023

Customers are implementing data and analytics workloads in the AWS Cloud to optimize cost. When implementing data processing workloads in AWS, you have the option to use technologies like Amazon EMR or serverless technologies like AWS Glue. Originally, all logs were retained back to 2018. What’s next?

Data Processing 95

Data Processing Cost-Benefit Optimization Interactive 95

Cloudera

AUGUST 17, 2020

The current scale and pace of change in the Telecommunications sector is being driven by the rapid evolution of new technologies like the Internet of Things (IoT), 5G, advanced data analytics and edge computing. In many established markets, traditional sources of revenue are either plateauing or declining relatively rapidly. .

IoT 92

IoT Internet of Things B2B Data-driven 92

Cloudera

SEPTEMBER 8, 2020

The current scale and pace of change in the Telecommunications sector is being driven by the rapid evolution of new technologies like the Internet of Things (IoT), 5G, advanced data analytics, and edge computing. In many established markets, traditional sources of revenue are either plateauing or declining relatively rapidly. .

IoT 66

IoT Internet of Things B2B Data-driven 66

Smart Data Collective

JULY 10, 2019

Big data is changing the nature of healthcare. One of the biggest developments was the implementation of the Medical Information Mart for Intensive Care , which took data from 50,000 patients dating back to 2001. Big data will have an even more profound impact in the near future.

Big Data 73

Big Data Measurement Predictive Modeling Manufacturing 73

Cloudera

JANUARY 19, 2018

Before we get too far into 2018, let’s take a look at the ten most popular Cloudera VISION blogs from 2017. There’s more data coming, and there are plenty of impossible things to work on. Machine Learning in the Age of Big Data. From its origins in the 1950’s to today, the age of big data.

Machine Learning 45

Machine Learning IoT Big Data Insurance 45

Jedox

JULY 17, 2018

After all, turning huge masses of data into actionable knowledge is still challenging. According to Forrester’s 2018 predictions for AI*, 70% of enterprise expect to implement AI over the next 12 months. Forbes 2018, 10 Predictions For AI, Big Data, And Analytics in 2018.

Machine Learning 46

Machine Learning Technology Digital Transformation Predictive Analytics 46

Alation

MARCH 21, 2023

Today, modern travel and tourism thrive on data. For example, airlines have historically applied analytics to revenue management, while successful hospitality leaders make data-driven decisions around property allocation and workforce management. What is big data in the travel and tourism industry?

Data Analytics 52

Data Analytics Analytics Data-driven Big Data 52

Data Virtualization

MAY 15, 2019

In 2018 the CDC determined that approximately. When we began consolidating our technology and AI predictions for 2019, what stood out to me were the ways in which artificial intelligence can be used for social good in 2019 and beyond.

Technology 40

Technology Big Data Data Analytics Analytics 40

Cloudera

AUGUST 6, 2018

Only 3 years later, in 2018 the organization has received a total of 75 million messages. To manage what’s become one of the largest data sets on mental health and crisis in the world, Crisis Text Line had to be built from the ground up around technology and data. .

Machine Learning 49

Machine Learning Internet of Things Cost-Benefit Data-driven 49

Cloudera

AUGUST 2, 2018

True – millions of credit card transactions are processed within minutes for consistency, fraud and compliance, using petabytes of historical transactions as reference data. Data teams in these insurance firms are leading the charge in rebuilding entire business models around data and analytics.

Data Warehouse 51

Data Warehouse Insurance Experimentation Software 51

Andrew White

APRIL 22, 2020

AI and machine learning will help, along with other data and analytics capabilities. Data, analytics and AI. For years aggregated economic data from OECD and US BEA suggested that productivity had been on a go-slow for some time. See 2018 Won’t See a Massive Productivity Boost From AI – 2019 Might Show It.

Software 52

Software Measurement Uncertainty Marketing 52

Sisense

JUNE 9, 2021

Here at Sisense, we’re particularly excited because the tournament is more than just a festival of skill and athleticism; it’s a clash of analytics insights. In the modern game, analytics is an essential part of a winning formula that has revolutionized football teams and the way they play. We can’t wait!

Analytics 98

Analytics Data-driven Internet of Things Measurement 98

Cloudera

JANUARY 22, 2019

In conjunction with the evolving data ecosystem are demands by business for reliable, trustworthy, up-to-date data to enable real-time actionable insights. Big Data Fabric has emerged in response to modern data ecosystem challenges facing today’s enterprises. What is Big Data Fabric? Data access.

Big Data 44

Big Data Data Lake Internet of Things Enterprise 44

AWS Big Data

DECEMBER 8, 2023

As FanDuel’s business footprint grew, so too did the complexity of their analytical needs. More and more of FanDuel’s community of analysts and business users looked for comprehensive data solutions that centralized the data across the various arms of their business. The following diagram illustrates the updated architecture.

Data Warehouse 67

Data Warehouse Cost-Benefit KPI Risk 67

AWS Big Data

FEBRUARY 1, 2024

Filter data from the Common Crawl dataset As you can see from the create table SQL statement, there are several fields that can help filter the data. After you have prepared the data and scripts, you can use EMR Serverless to process the filtered data.

Modeling 94

Modeling Metadata Data Processing Unstructured Data 94

IBM Big Data Hub

JANUARY 10, 2023

This data will be analyzed using Netezza SQL and Python code to determine if the flight delays for the first half of 2022 have increased over flight delays compared to earlier periods of time within the current data (January 2019 – December 2021). Figure 7 – Initial query using the historical data (2003 – 2018).

Data Warehouse 52

Data Warehouse Cost-Benefit Statistics Data Processing 52

O'Reilly on Data

SEPTEMBER 11, 2019

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. The term “ML” is No.

IoT 20

IoT Big Data Data Warehouse Uncertainty 20

BizAcuity

MAY 10, 2022

2007: Amazon launches SimpleDB, a non-relational (NoSQL) database that allows businesses to cheaply process vast amounts of data with minimal effort. An efficient big data management and storage solution that AWS quickly took advantage of. They now have a disruptive data management solution to offer to its client base.

Data-driven 52

Data-driven IoT Unstructured Data Data Lake 52

Domino Data Lab

AUGUST 8, 2019

to join data science teams, e.g., to support advertising, social networks, gaming, and so on—I hired more than a few. 2018 – Global reckoning about data governance, aka “Oops!…We Data governance, for the win! (following a breakthrough paper or two, plus changes in market microstructure). We did it again.”.

Data Science 71

Data Science Machine Learning Data Governance Statistics 71

Alation

FEBRUARY 13, 2020

With TrustCheck, data analysts see color-coded visual cues whenever they use a questionable source, right in their natural workflow in real-time, whether they’re working in Alation Compose, in Tableau or in SalesForce Einstein Analytics. Alation’s TrustCheck technology enables a new and modern approach to agile data governance.

Dashboards 52

Dashboards Data-driven Visualization Data Quality 52

Cloudera

DECEMBER 12, 2018

It kind of was interesting to me that there were these big internet companies in the valley running this platform or a variation thereof of, based on Google research papers. Let’s talk about big data and Apache Impala. Conversely, on a big data platform, it’s very easy to land data no matter what.

Data Warehouse 41

Data Warehouse Marketing Big Data Data Lake 41

Cloudera

FEBRUARY 11, 2019

The former sees growing investment in data analytics to become data-driven (45% of organizations expect to increase their spending in this area) while the latter is fueled by disruptive technology and the adoption of AI (41% of organizations name it as their game changer). Governing for compliance.

Digital Transformation 56

Digital Transformation Data Governance Data Warehouse Data-driven 56

Birst BI

MAY 14, 2019

Cloud, digital transformation, mergers and acquisitions, big data analytics, data monetization, and more are all critical business initiatives creating an even greater divide between centralized IT and decentralized analytic teams in the business. What does this mean, and why do most enterprises need to do both?

Analytics 9

Analytics Key Performance Indicator Business Intelligence Visualization 9

datapine

NOVEMBER 27, 2019

Spreadsheets finally took a backseat to actionable and insightful data visualizations and interactive business dashboards. The rise of self-service analytics democratized the data product chain. Suddenly advanced analytics wasn’t just for the analysts. 1) Data Quality Management (DQM).

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361